287343 2 Joaquin Vanschoren 4186 Supervised Classification predictive_accuracy 1089 weka.ExtraTree(1) 1859 weka.classifiers.trees.ExtraTree -- -K -1 -N -1 -S 1 K -1 1089 N -1 1089 S 1 1089 weka weka_3.7.12 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 967816 description https://api.openml.org/data/download/967816/weka_generated_run2021672723296123873.xml -1 967819 model_readable https://api.openml.org/data/download/967819/WekaModel_weka.classifiers.trees.ExtraTree7693069474906819126.model -1 967818 model_serialized https://api.openml.org/data/download/967818/WekaSerialized_weka.classifiers.trees.ExtraTree8671610633658311461.model -1 967817 predictions https://api.openml.org/data/download/967817/weka_generated_predictions7206755383230629089.arff area_under_roc_curve 0.836691 [0.822317,0.753836,0.918139,0.784883,0.76489,0.863962,0.79097,0.914125,0.895465,0.818804,0.80879,0.878318,0.774781,0.750769,0.898158,0.730282,0.873552,0.928112,0.900585,0.77481,0.876352,0.723783,0.815631,0.904719,0.925639,0.862258] average_cost 0 f_measure 0.686328 [0.645793,0.530242,0.845009,0.573331,0.547088,0.733145,0.589315,0.840074,0.798734,0.650691,0.629623,0.768999,0.570802,0.513443,0.796241,0.479509,0.76428,0.862673,0.810287,0.560342,0.773243,0.476547,0.664142,0.820986,0.86382,0.736104] kappa 0.673381 kb_relative_information_score 53188.185755 mean_absolute_error 0.024158 mean_prior_absolute_error 0.073964 number_of_instances 77970 [3000,3000,3000,3000,3000,2980,3000,3000,3000,3000,3000,3000,2990,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.686919 [0.632184,0.534553,0.847702,0.559075,0.546179,0.727453,0.579626,0.845894,0.798468,0.649718,0.626609,0.77236,0.575459,0.505161,0.787671,0.47737,0.772743,0.863682,0.811914,0.552888,0.785886,0.48613,0.686721,0.825691,0.871438,0.737212] predictive_accuracy 0.685943 prior_entropy 4.700438 recall 0.685943 [0.66,0.526,0.842333,0.588333,0.548,0.738926,0.599333,0.834333,0.799,0.651667,0.632667,0.765667,0.566221,0.522,0.805,0.481667,0.756,0.861667,0.808667,0.568,0.761,0.467333,0.643,0.816333,0.856333,0.735] relative_absolute_error 0.326619 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.155429 root_relative_squared_error 0.808231 scimark_benchmark 1340.1351 [809.3924190983307, 978.3981016426347, 522.7565120974215, 1079.225957073861, 3310.9025080181104] total_cost 0 usercpu_time_millis 240 usercpu_time_millis_testing 30 usercpu_time_millis_training 210 area_under_roc_curve 0.829333 [0.726667,0.699333,0.861333,0.808,0.724667,0.928667,0.824667,0.862667,0.914,0.826,0.842667,0.896667,0.791333,0.822,0.864,0.689333,0.844,0.932,0.893333,0.708667,0.844,0.826667,0.76,0.897333,0.897333,0.877333] area_under_roc_curve 0.834 [0.860667,0.744,0.848,0.826,0.806,0.878,0.854,0.899333,0.846667,0.808667,0.862667,0.89,0.728667,0.838,0.811333,0.720667,0.744,0.896,0.979333,0.808,0.826,0.740667,0.78,0.915333,0.946,0.826] area_under_roc_curve 0.844667 [0.898,0.744,0.879333,0.806667,0.809333,0.879333,0.741333,0.880667,0.944667,0.790667,0.792,0.912667,0.842,0.758667,0.896,0.758,0.862,0.932,0.945333,0.791333,0.910667,0.706,0.842667,0.880667,0.896667,0.860667] area_under_roc_curve 0.841333 [0.855333,0.739333,0.915333,0.808667,0.77,0.828,0.824667,0.913333,0.897333,0.829333,0.759333,0.895333,0.774,0.776,0.928667,0.702,0.879333,0.932,0.930667,0.725333,0.881333,0.691333,0.88,0.879333,0.898,0.960667] area_under_roc_curve 0.846 [0.809333,0.777333,0.898667,0.810667,0.842,0.796,0.81,0.928,0.941333,0.795333,0.758667,0.846,0.87,0.728,0.896667,0.676667,0.946,0.947333,0.944,0.817333,0.879333,0.827333,0.827333,0.830667,0.914,0.878] area_under_roc_curve 0.832 [0.824667,0.79,0.892667,0.758,0.773333,0.845333,0.872,0.948667,0.844667,0.829333,0.793333,0.843333,0.708,0.755333,0.944667,0.790667,0.896667,0.898,0.797333,0.742667,0.947333,0.678,0.91,0.926,0.897333,0.724667] area_under_roc_curve 0.825333 [0.842667,0.759333,0.880667,0.786,0.709333,0.808,0.786667,0.882667,0.881333,0.846,0.874,0.843333,0.792667,0.753333,0.946,0.706,0.812,0.913333,0.896,0.727333,0.858,0.722,0.76,0.946,0.898,0.828] area_under_roc_curve 0.839333 [0.897333,0.693333,0.946,0.793333,0.789333,0.806667,0.841333,0.964667,0.911333,0.811333,0.840667,0.814667,0.774667,0.84,0.947333,0.704667,0.861333,0.862667,0.825333,0.772667,0.877333,0.759333,0.796,0.88,0.93,0.881333] area_under_roc_curve 0.826 [0.924,0.776,0.861333,0.775333,0.775333,0.842,0.766,0.949333,0.927333,0.777333,0.845333,0.811333,0.758667,0.672,0.896,0.667333,0.863333,0.915333,0.912,0.689333,0.826667,0.712,0.810667,0.928667,0.948667,0.844667] area_under_roc_curve 0.838667 [0.842,0.809333,0.946667,0.740667,0.818667,0.810667,0.789333,0.915333,0.916667,0.809333,0.790667,0.862667,0.788667,0.752667,0.897333,0.71,0.860667,0.998,0.911333,0.822667,0.814667,0.742,0.760667,0.896,0.949333,0.849333] area_under_roc_curve 0.842667 [0.778,0.722667,0.93,0.794,0.822,0.882,0.824,0.932667,0.830667,0.840667,0.841333,0.876667,0.794,0.789333,0.942,0.689333,0.744667,0.914,0.962,0.795333,0.878667,0.706,0.860667,0.916,0.980667,0.862] area_under_roc_curve 0.836 [0.758667,0.792667,0.882,0.86,0.855333,0.812667,0.794,0.93,0.96,0.808667,0.74,0.915333,0.772,0.691333,0.88,0.691333,0.880667,0.95,0.860667,0.873333,0.930667,0.690667,0.729333,0.806,0.945333,0.925333] area_under_roc_curve 0.846 [0.754,0.726667,0.947333,0.855333,0.809333,0.913333,0.724,0.914,0.947333,0.826667,0.876,0.895333,0.830667,0.722,0.912,0.691333,0.879333,0.931333,0.948,0.757333,0.83,0.756,0.826,0.930667,0.946,0.846] area_under_roc_curve 0.83 [0.778,0.823333,0.929333,0.674,0.759333,0.712667,0.775333,0.912667,0.944667,0.81,0.84,0.912667,0.756,0.708667,0.93,0.822667,0.894,0.966,0.894,0.744,0.860667,0.672667,0.777333,0.944,0.912,0.826] area_under_roc_curve 0.834 [0.791333,0.837333,0.931333,0.805333,0.692667,0.846667,0.793333,0.98,0.845333,0.824,0.774,0.889333,0.708667,0.738667,0.927333,0.721333,0.883333,0.899333,0.914667,0.842,0.929333,0.626,0.744,0.912667,0.948,0.878] area_under_roc_curve 0.829333 [0.776,0.808667,0.895333,0.826667,0.809333,0.858667,0.770667,0.862,0.778,0.797333,0.844667,0.864,0.786667,0.756,0.929333,0.766667,0.81,0.898667,0.864667,0.706667,0.928667,0.66,0.762667,0.944667,0.946667,0.91] area_under_roc_curve 0.85 [0.844,0.657333,0.965333,0.86,0.760667,0.880667,0.874,0.947333,0.932667,0.857333,0.746,0.860667,0.808,0.692667,0.858,0.741333,0.863333,0.963333,0.946,0.758667,0.88,0.818667,0.81,0.980667,0.914667,0.878667] area_under_roc_curve 0.844667 [0.775333,0.722667,0.965333,0.810667,0.791333,0.929333,0.842,0.863333,0.914,0.827333,0.812,0.861333,0.874,0.724667,0.912,0.690667,0.827333,0.914667,0.948667,0.788,0.91,0.658667,0.878,0.928667,0.899333,0.892] area_under_roc_curve 0.843333 [0.856,0.806,0.862667,0.712667,0.692667,0.895333,0.894,0.880667,0.881333,0.772,0.845333,0.878667,0.840667,0.710667,0.862667,0.738,0.894,0.964,0.913333,0.824,0.896,0.723333,0.842667,0.915333,0.93,0.894667] area_under_roc_curve 0.844667 [0.842,0.791333,0.93,0.724,0.776667,0.846,0.742,0.896667,0.929333,0.872667,0.83,0.93,0.742667,0.752667,0.93,0.792,0.808667,0.914667,0.862,0.778,0.828667,0.773333,0.977333,0.864,0.965333,0.861333] area_under_roc_curve 0.85 [0.892667,0.777333,0.946667,0.741333,0.790667,0.812,0.844667,0.914667,0.912667,0.863333,0.827333,0.813333,0.824667,0.708,0.944,0.752667,0.882,0.947333,0.945333,0.774667,0.877333,0.754667,0.830667,0.946667,0.932667,0.842667] area_under_roc_curve 0.826 [0.807333,0.76,0.894,0.819333,0.720667,0.894,0.809333,0.831333,0.93,0.757333,0.839333,0.896,0.744,0.738,0.878,0.652667,0.864667,0.999333,0.914,0.690667,0.929333,0.706667,0.828,0.878667,0.898667,0.794667] area_under_roc_curve 0.84 [0.858,0.752667,0.88,0.738667,0.740667,0.846667,0.807333,0.896,0.896667,0.809333,0.876667,0.912667,0.791333,0.706667,0.961333,0.672,0.862667,0.930667,0.912667,0.856,0.863333,0.762,0.78,0.964667,0.883333,0.878] area_under_roc_curve 0.834667 [0.841333,0.706,0.897333,0.907333,0.692667,0.927333,0.774667,0.93,0.928667,0.826667,0.772667,0.948,0.742,0.705333,0.948,0.672,0.876667,0.980667,0.847333,0.770667,0.913333,0.726667,0.778667,0.880667,0.882667,0.824] area_under_roc_curve 0.856 [0.828,0.726,0.963333,0.692667,0.752667,0.831333,0.81,0.982,0.911333,0.929333,0.879333,0.829333,0.842,0.774,0.928667,0.789333,0.928667,0.964667,0.962667,0.757333,0.930667,0.753333,0.762667,0.929333,0.948,0.849333] area_under_roc_curve 0.833333 [0.841333,0.77,0.982667,0.772,0.791333,0.877333,0.795333,0.796667,0.895333,0.755333,0.760667,0.864667,0.704667,0.719333,0.881333,0.707333,0.876667,0.948667,0.929333,0.811333,0.878667,0.74,0.841333,0.898667,0.93,0.896667] area_under_roc_curve 0.824667 [0.810667,0.674,0.913333,0.800667,0.807333,0.862667,0.775333,0.947333,0.912667,0.806667,0.841333,0.842,0.724667,0.759333,0.794667,0.709333,0.814,0.943333,0.896,0.739333,0.88,0.722,0.772667,0.898667,0.897333,0.896] area_under_roc_curve 0.833333 [0.778667,0.856667,0.931333,0.893333,0.762667,0.774667,0.689333,0.965333,0.845333,0.846,0.875333,0.896,0.756667,0.754667,0.881333,0.772667,0.860667,0.878,0.844667,0.705333,0.830667,0.774,0.794667,0.878,0.945333,0.875333] area_under_roc_curve 0.840667 [0.893333,0.740667,0.879333,0.826,0.692,0.911333,0.796,0.931333,0.879333,0.823333,0.829333,0.860667,0.726667,0.786667,0.880667,0.737333,0.828,0.964667,0.913333,0.806,0.894667,0.789333,0.81,0.894667,0.949333,0.813333] area_under_roc_curve 0.837333 [0.823333,0.759333,0.914667,0.862667,0.842,0.859333,0.802,0.88,0.894,0.825333,0.81,0.96,0.758,0.673333,0.848,0.737333,0.808667,0.878667,0.881333,0.76,0.866,0.776,0.845333,0.93,0.964,0.811333] area_under_roc_curve 0.854667 [0.828,0.728,0.948667,0.859333,0.758667,0.842667,0.874667,0.916,0.796667,0.895333,0.879333,0.929333,0.808,0.736,0.893333,0.774667,0.898,0.898,0.876667,0.826,0.912667,0.806667,0.827333,0.897333,0.896,0.914] area_under_roc_curve 0.821333 [0.773333,0.689333,0.911333,0.826,0.757333,0.891333,0.740667,0.879333,0.88,0.758,0.691333,0.878,0.724667,0.724667,0.909333,0.673333,0.928667,0.83,0.862,0.821333,0.846667,0.773333,0.812667,0.878,0.930667,0.963333] area_under_roc_curve 0.827333 [0.771333,0.805333,0.897333,0.806667,0.676667,0.844667,0.759333,0.861333,0.946,0.726667,0.789333,0.896,0.789333,0.72,0.895333,0.718667,0.846667,0.948,0.948,0.826,0.878667,0.728,0.725333,0.88,0.914667,0.911333] area_under_roc_curve 0.846667 [0.878,0.791333,0.914,0.787333,0.774667,0.914667,0.87,0.914,0.846667,0.858667,0.744,0.766,0.772667,0.789333,0.958,0.691333,0.928667,0.93,0.948,0.727333,0.831333,0.725333,0.860667,0.966,0.979333,0.846] area_under_roc_curve 0.846 [0.907333,0.759333,0.963333,0.773333,0.776667,0.929333,0.723333,0.880667,0.912,0.798667,0.788667,0.811333,0.76,0.804,0.909333,0.74,0.896,0.916667,0.981333,0.787333,0.864667,0.707333,0.862,0.95,0.915333,0.878] area_under_roc_curve 0.834667 [0.755333,0.775333,0.931333,0.788667,0.757333,0.859333,0.841333,0.928667,0.911333,0.778,0.760667,0.896667,0.775333,0.805333,0.844667,0.803333,0.879333,0.897333,0.831333,0.806667,0.798,0.73,0.793333,0.925333,0.948,0.879333] area_under_roc_curve 0.84 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[0.857321,0.756653,0.963996,0.789987,0.759324,0.874644,0.77332,0.915332,0.927325,0.825323,0.805318,0.762661,0.840654,0.826658,0.843992,0.725323,0.881998,0.880663,0.948665,0.791322,0.947997,0.758656,0.827993,0.914664,0.930663,0.843992] area_under_roc_curve 0.833789 [0.89466,0.754651,0.897997,0.687984,0.62332,0.802345,0.743324,0.898665,0.943324,0.87866,0.857988,0.915332,0.857321,0.790654,0.89733,0.667312,0.87866,0.866667,0.847997,0.827325,0.911326,0.603983,0.811994,0.927993,0.965332,0.925323] area_under_roc_curve 0.829779 [0.859324,0.756653,0.913329,0.67332,0.707988,0.909126,0.806653,0.882666,0.930663,0.843992,0.738652,0.845995,0.725323,0.787316,0.896662,0.707988,0.831331,0.945995,0.930663,0.773988,0.826658,0.684646,0.87599,0.913996,0.964664,0.843324] area_under_roc_curve 0.855148 [0.793324,0.825323,0.995995,0.910659,0.77599,0.87331,0.82866,0.913329,0.945995,0.859324,0.861326,0.861326,0.757321,0.739319,0.896662,0.777993,0.945327,0.897997,0.858656,0.845327,0.945995,0.724655,0.792657,0.813329,0.963329,0.831331] area_under_roc_curve 0.84246 [0.841322,0.762661,0.930663,0.839987,0.775323,0.876644,0.701313,0.946662,0.913329,0.824655,0.809324,0.861326,0.677325,0.77065,0.84733,0.771317,0.87866,0.979996,0.930663,0.775323,0.898665,0.737984,0.876658,0.897997,0.965999,0.813329] area_under_roc_curve 0.831113 [0.82866,0.657988,0.880663,0.802648,0.775323,0.792657,0.853983,0.896662,0.913996,0.826658,0.839987,0.929328,0.806345,0.809324,0.929328,0.719315,0.863329,0.931331,0.810659,0.726658,0.813996,0.753316,0.745327,0.92599,0.931331,0.843324] area_under_roc_curve 0.839794 [0.82599,0.812661,0.863329,0.803983,0.811994,0.873977,0.792657,0.964664,0.964664,0.839987,0.77599,0.829328,0.777325,0.636649,0.927993,0.742657,0.92599,0.965999,0.913996,0.708656,0.912661,0.719982,0.759324,0.913329,0.948665,0.82332] area_under_roc_curve 0.841135 [0.777993,0.758656,0.94733,0.821317,0.739319,0.911326,0.724655,0.914664,0.846662,0.795995,0.822652,0.94466,0.834828,0.789987,0.881998,0.671985,0.863329,0.89733,0.915332,0.825323,0.931998,0.701313,0.82866,0.931331,0.927993,0.862661] area_under_roc_curve 0.825777 [0.806653,0.674655,0.899332,0.722652,0.785314,0.829996,0.789319,0.931331,0.930663,0.875323,0.811326,0.896662,0.820253,0.655318,0.845327,0.689987,0.857321,0.913996,0.963996,0.724655,0.911994,0.645327,0.738652,0.92866,0.879996,0.941322] area_under_roc_curve 0.837127 [0.843324,0.723988,0.913329,0.757321,0.772652,0.827993,0.843324,0.979996,0.913329,0.759991,0.82599,0.861994,0.698897,0.737984,0.912661,0.756653,0.929996,0.995995,0.879328,0.725323,0.898665,0.719315,0.793324,0.929328,0.881331,0.87866] area_under_roc_curve 0.833789 [0.829996,0.706653,0.897997,0.789987,0.806653,0.836828,0.777993,0.911326,0.92866,0.809991,0.754651,0.895995,0.807988,0.792657,0.915332,0.789987,0.811326,0.947997,0.860659,0.792657,0.941322,0.626658,0.807988,0.846662,0.863329,0.927325] area_under_roc_curve 0.817103 [0.707321,0.761326,0.963996,0.739987,0.755318,0.817586,0.789319,0.910659,0.863329,0.843992,0.791322,0.846662,0.786649,0.705986,0.89733,0.701313,0.959991,0.913329,0.881998,0.672652,0.812661,0.625323,0.773988,0.861994,0.930663,0.929996] area_under_roc_curve 0.83379 [0.77866,0.673988,0.932666,0.87599,0.77599,0.845327,0.835314,0.964664,0.812661,0.843324,0.740654,0.841989,0.801678,0.787984,0.863329,0.736649,0.895327,0.931331,0.893992,0.757988,0.927325,0.745995,0.725323,0.913329,0.879996,0.895995] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.67258 [0.518519,0.376812,0.733333,0.612903,0.491228,0.825397,0.634921,0.758621,0.847458,0.655738,0.677419,0.813559,0.590164,0.597015,0.785714,0.413793,0.7,0.896552,0.75,0.472727,0.7,0.666667,0.571429,0.827586,0.827586,0.741935] f_measure 0.681019 [0.721311,0.555556,0.777778,0.655738,0.584615,0.754098,0.619718,0.872727,0.75,0.622951,0.758621,0.695652,0.54902,0.608696,0.666667,0.444444,0.555556,0.8,0.892308,0.612903,0.655738,0.508475,0.653846,0.877193,0.857143,0.655738] f_measure 0.700678 [0.842105,0.555556,0.779661,0.59375,0.633333,0.779661,0.517241,0.807018,0.830769,0.580645,0.6,0.819672,0.666667,0.551724,0.8,0.542373,0.745763,0.896552,0.84375,0.590164,0.78125,0.440678,0.677419,0.807018,0.813559,0.721311] f_measure 0.696366 [0.637681,0.491803,0.877193,0.622951,0.507463,0.689655,0.634921,0.833333,0.827586,0.714286,0.561404,0.786885,0.557377,0.586207,0.825397,0.4,0.779661,0.896552,0.866667,0.5,0.821429,0.436364,0.793103,0.779661,0.842105,0.835821] f_measure 0.701914 [0.633333,0.607143,0.857143,0.655172,0.666667,0.666667,0.644068,0.8125,0.771429,0.654545,0.551724,0.736842,0.630137,0.538462,0.813559,0.431373,0.857143,0.885246,0.818182,0.540541,0.779661,0.677966,0.677966,0.740741,0.847458,0.754098] f_measure 0.674353 [0.634921,0.571429,0.738462,0.542373,0.548387,0.724138,0.657143,0.915254,0.711864,0.714286,0.62069,0.688525,0.464286,0.507937,0.830769,0.580645,0.813559,0.842105,0.692308,0.535714,0.885246,0.44898,0.769231,0.776119,0.827586,0.491228] f_measure 0.665612 [0.677419,0.561404,0.807018,0.521739,0.481481,0.612903,0.529412,0.851852,0.821429,0.736842,0.686567,0.688525,0.610169,0.484848,0.857143,0.440678,0.678571,0.833333,0.8,0.528302,0.676923,0.459016,0.571429,0.857143,0.842105,0.689655] f_measure 0.690886 [0.827586,0.461538,0.857143,0.62069,0.5625,0.59375,0.65625,0.918033,0.793651,0.666667,0.646154,0.730769,0.566667,0.636364,0.885246,0.42623,0.733333,0.758621,0.645161,0.539683,0.741935,0.561404,0.666667,0.793103,0.852459,0.821429] f_measure 0.665752 [0.742857,0.586207,0.733333,0.576271,0.576271,0.666667,0.465753,0.931034,0.8,0.607143,0.724138,0.666667,0.551724,0.37931,0.8,0.338462,0.77193,0.877193,0.806452,0.413793,0.666667,0.52,0.655172,0.825397,0.915254,0.711864] f_measure 0.692777 [0.666667,0.633333,0.870968,0.508475,0.555556,0.655172,0.5625,0.877193,0.909091,0.633333,0.580645,0.758621,0.553846,0.477612,0.827586,0.490566,0.721311,0.952381,0.793651,0.606061,0.730769,0.526316,0.581818,0.8,0.931034,0.807692] f_measure 0.696955 [0.618182,0.466667,0.852459,0.631579,0.597015,0.836364,0.625,0.912281,0.740741,0.646154,0.65625,0.730159,0.631579,0.5625,0.782609,0.413793,0.566038,0.847458,0.861538,0.654545,0.766667,0.440678,0.721311,0.892857,0.920635,0.745763] f_measure 0.682377 [0.551724,0.610169,0.836364,0.709677,0.637681,0.690909,0.631579,0.852459,0.823529,0.622951,0.5,0.877193,0.53125,0.436364,0.793103,0.436364,0.807018,0.947368,0.721311,0.676471,0.866667,0.428571,0.56,0.584615,0.84375,0.764706] f_measure 0.703265 [0.492308,0.518519,0.885246,0.637681,0.633333,0.833333,0.482759,0.847458,0.885246,0.666667,0.71875,0.786885,0.740741,0.459016,0.806452,0.436364,0.779661,0.881356,0.9,0.533333,0.727273,0.516129,0.655738,0.866667,0.857143,0.736842] f_measure 0.667761 [0.618182,0.615385,0.83871,0.4,0.561404,0.530612,0.576271,0.819672,0.830769,0.644068,0.636364,0.819672,0.516129,0.472727,0.852459,0.606061,0.761905,0.949153,0.761905,0.555556,0.721311,0.385965,0.607143,0.818182,0.806452,0.655738] f_measure 0.678517 [0.590164,0.6,0.881356,0.575758,0.45283,0.75,0.62069,0.90625,0.724138,0.625,0.557377,0.685714,0.472727,0.483871,0.8,0.451613,0.867925,0.872727,0.862069,0.666667,0.83871,0.326531,0.555556,0.819672,0.9,0.754098] f_measure 0.671932 [0.586207,0.622951,0.786885,0.666667,0.633333,0.6875,0.515152,0.745763,0.618182,0.692308,0.711864,0.785714,0.529412,0.516129,0.83871,0.472222,0.644068,0.857143,0.8,0.448276,0.825397,0.4,0.615385,0.830769,0.870968,0.769231] f_measure 0.709008 [0.7,0.37037,0.933333,0.709677,0.581818,0.807018,0.686567,0.885246,0.912281,0.666667,0.588235,0.721311,0.612903,0.45283,0.676923,0.517241,0.77193,0.888889,0.857143,0.551724,0.793103,0.555556,0.644068,0.920635,0.862069,0.766667] f_measure 0.699352 [0.576271,0.466667,0.933333,0.655172,0.590164,0.83871,0.666667,0.77193,0.847458,0.677966,0.678571,0.733333,0.686567,0.491228,0.806452,0.428571,0.677966,0.862069,0.915254,0.545455,0.769231,0.384615,0.754098,0.825397,0.872727,0.727273] f_measure 0.697435 [0.647059,0.584615,0.758621,0.530612,0.45283,0.786885,0.761905,0.807018,0.821429,0.53125,0.724138,0.766667,0.646154,0.5,0.758621,0.47619,0.761905,0.903226,0.833333,0.625,0.8,0.474576,0.677419,0.877193,0.852459,0.774194] f_measure 0.700791 [0.666667,0.590164,0.852459,0.482759,0.596491,0.736842,0.526316,0.813559,0.83871,0.666667,0.727273,0.852459,0.535714,0.477612,0.852459,0.6,0.622951,0.862069,0.745763,0.618182,0.701754,0.548387,0.852941,0.785714,0.933333,0.733333] f_measure 0.711946 [0.738462,0.607143,0.870968,0.517241,0.580645,0.678571,0.711864,0.862069,0.819672,0.77193,0.677966,0.703704,0.634921,0.464286,0.818182,0.477612,0.836364,0.885246,0.84375,0.566667,0.741935,0.5,0.740741,0.870968,0.912281,0.677419] f_measure 0.666292 [0.603175,0.571429,0.761905,0.56338,0.444444,0.761905,0.633333,0.754717,0.852459,0.533333,0.626866,0.8,0.555556,0.47619,0.754098,0.327869,0.8,0.983607,0.847458,0.428571,0.83871,0.448276,0.689655,0.766667,0.857143,0.642857] f_measure 0.69299 [0.676923,0.477612,0.793103,0.483871,0.508475,0.75,0.603175,0.8,0.813559,0.633333,0.730159,0.819672,0.590164,0.448276,0.848485,0.37931,0.758621,0.866667,0.819672,0.647059,0.77193,0.603774,0.653846,0.918033,0.867925,0.754098] f_measure 0.680259 [0.65625,0.440678,0.827586,0.724638,0.45283,0.8,0.566667,0.852459,0.825397,0.666667,0.539683,0.9,0.526316,0.433333,0.9,0.37931,0.730159,0.920635,0.763636,0.515152,0.833333,0.518519,0.62963,0.807018,0.851852,0.625] f_measure 0.721961 [0.689655,0.509091,0.888889,0.45283,0.477612,0.754717,0.644068,0.95082,0.793651,0.83871,0.779661,0.714286,0.666667,0.557377,0.825397,0.5625,0.825397,0.918033,0.875,0.533333,0.866667,0.484848,0.615385,0.83871,0.9,0.807692] f_measure 0.682138 [0.65625,0.507463,0.966667,0.53125,0.590164,0.741935,0.654545,0.679245,0.786885,0.507937,0.581818,0.8,0.42623,0.430769,0.821429,0.45614,0.730159,0.915254,0.83871,0.666667,0.766667,0.5,0.65625,0.857143,0.852459,0.813559] f_measure 0.66296 [0.655172,0.4,0.833333,0.520548,0.603175,0.758621,0.576271,0.885246,0.819672,0.59375,0.65625,0.666667,0.491228,0.561404,0.642857,0.481481,0.716981,0.80597,0.8,0.491803,0.793103,0.459016,0.539683,0.857143,0.827586,0.8] f_measure 0.679553 [0.62963,0.656716,0.881356,0.75,0.615385,0.566667,0.413793,0.933333,0.724138,0.736842,0.707692,0.8,0.52459,0.5,0.821429,0.539683,0.721311,0.754098,0.711864,0.433333,0.740741,0.557377,0.642857,0.754098,0.84375,0.707692] f_measure 0.694218 [0.75,0.508475,0.779661,0.655738,0.444444,0.793651,0.666667,0.881356,0.779661,0.615385,0.714286,0.721311,0.518519,0.529412,0.807018,0.46875,0.689655,0.918033,0.833333,0.584615,0.774194,0.5625,0.644068,0.774194,0.931034,0.703704] f_measure 0.688179 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[0.754098,0.590164,0.847458,0.537313,0.566667,0.862069,0.630137,0.847458,0.75,0.6875,0.555556,0.680851,0.539683,0.5625,0.788732,0.436364,0.825397,0.852459,0.9,0.528302,0.754717,0.5,0.721311,0.949153,0.892308,0.736842] f_measure 0.705283 [0.724638,0.561404,0.888889,0.548387,0.596491,0.83871,0.474576,0.807018,0.806452,0.72,0.553846,0.666667,0.571429,0.558824,0.757576,0.5,0.8,0.909091,0.935484,0.537313,0.8,0.45614,0.745763,0.947368,0.877193,0.754098] f_measure 0.682797 [0.507937,0.576271,0.881356,0.553846,0.533333,0.698413,0.65625,0.825397,0.793651,0.618182,0.581818,0.813559,0.576271,0.575758,0.711864,0.550725,0.779661,0.827586,0.754717,0.59375,0.705882,0.571429,0.62069,0.764706,0.9,0.779661] f_measure 0.691479 [0.5625,0.666667,0.862069,0.45614,0.597015,0.793651,0.655172,0.8,0.825397,0.656716,0.518519,0.709677,0.377358,0.626866,0.745763,0.535714,0.847458,0.833333,0.821429,0.688525,0.581818,0.529412,0.736842,0.847458,0.931034,0.77193] f_measure 0.686638 [0.666667,0.474576,0.779661,0.686567,0.5,0.645161,0.566038,0.915254,0.866667,0.69697,0.707692,0.814815,0.533333,0.581818,0.833333,0.421053,0.787879,0.852459,0.6875,0.47619,0.851852,0.484848,0.655738,0.842105,0.920635,0.603774] f_measure 0.702907 [0.655738,0.612903,0.83871,0.606061,0.444444,0.688525,0.677419,0.836364,0.740741,0.677966,0.5625,0.711864,0.5,0.606061,0.827586,0.53125,0.877193,0.825397,0.813559,0.592593,0.862069,0.551724,0.77193,0.852459,0.877193,0.733333] f_measure 0.703941 [0.689655,0.354839,0.807018,0.566667,0.464286,0.862069,0.590164,0.888889,0.892308,0.688525,0.677966,0.793651,0.679245,0.545455,0.77193,0.393443,0.83871,0.870968,0.77193,0.646154,0.758621,0.474576,0.758621,0.833333,0.896552,0.786885] f_measure 0.695589 [0.655738,0.388889,0.949153,0.607143,0.444444,0.626866,0.654545,0.915254,0.730769,0.766667,0.698413,0.8125,0.5,0.46875,0.793651,0.607143,0.761905,0.915254,0.679245,0.666667,0.787879,0.4,0.724138,0.866667,0.9,0.763636] f_measure 0.681822 [0.46875,0.472727,0.881356,0.612903,0.474576,0.735294,0.433333,0.847458,0.84375,0.807018,0.848485,0.8,0.566038,0.612903,0.741935,0.466667,0.825397,0.842105,0.688525,0.4,0.714286,0.558824,0.571429,0.814815,0.885246,0.813559] f_measure 0.666687 [0.62069,0.586207,0.83871,0.545455,0.529412,0.626866,0.646154,0.8,0.807018,0.557377,0.666667,0.830769,0.561404,0.428571,0.779661,0.433333,0.777778,0.903226,0.701754,0.53125,0.733333,0.44,0.555556,0.779661,0.833333,0.819672] f_measure 0.686616 [0.645161,0.392857,0.83871,0.557377,0.526316,0.847458,0.575758,0.84375,0.819672,0.677419,0.653846,0.857143,0.555556,0.645161,0.818182,0.259259,0.806452,0.857143,0.852459,0.567164,0.77193,0.372881,0.62069,0.866667,0.892857,0.730159] f_measure 0.67977 [0.707692,0.474576,0.862069,0.451613,0.492308,0.830769,0.62069,0.896552,0.690909,0.7,0.5,0.842105,0.647059,0.244898,0.758621,0.586207,0.735294,0.827586,0.847458,0.561404,0.813559,0.4,0.69697,0.852459,0.909091,0.724138] f_measure 0.689186 [0.688525,0.491803,0.866667,0.6,0.483871,0.806452,0.633333,0.847458,0.8125,0.5,0.603175,0.763636,0.482759,0.448276,0.806452,0.440678,0.819672,0.862069,0.819672,0.517241,0.931034,0.433333,0.77193,0.920635,0.813559,0.754098] f_measure 0.684766 [0.634921,0.548387,0.833333,0.47619,0.535714,0.779661,0.676471,0.888889,0.825397,0.631579,0.618182,0.689655,0.62069,0.5,0.71875,0.5,0.786885,0.931034,0.84058,0.566667,0.819672,0.581818,0.603774,0.642857,0.896552,0.65625] f_measure 0.697395 [0.83871,0.622951,0.827586,0.617647,0.557377,0.740741,0.466667,0.949153,0.819672,0.62069,0.7,0.787879,0.517241,0.581818,0.842105,0.52459,0.678571,0.912281,0.740741,0.548387,0.698413,0.515152,0.677419,0.776119,0.866667,0.703704] f_measure 0.689808 [0.625,0.533333,0.84375,0.618182,0.508475,0.821429,0.695652,0.764706,0.763636,0.526316,0.607143,0.75,0.566667,0.5,0.806452,0.645161,0.645161,0.870968,0.861538,0.566038,0.666667,0.571429,0.793103,0.877193,0.852459,0.654545] f_measure 0.689098 [0.69697,0.677419,0.779661,0.688525,0.707692,0.666667,0.626866,0.75,0.852459,0.745763,0.59375,0.610169,0.538462,0.606061,0.764706,0.618182,0.655172,0.785714,0.746269,0.491228,0.75,0.491228,0.76,0.774194,0.872727,0.666667] f_measure 0.670471 [0.393443,0.5,0.909091,0.508475,0.518519,0.78125,0.612903,0.814815,0.857143,0.714286,0.694444,0.714286,0.451613,0.440678,0.9375,0.436364,0.785714,0.819672,0.779661,0.610169,0.655172,0.484848,0.62069,0.836364,0.847458,0.707692] f_measure 0.670047 [0.677419,0.571429,0.786885,0.52459,0.516129,0.8125,0.412698,0.813559,0.8,0.65625,0.415094,0.852459,0.688525,0.393443,0.740741,0.5,0.866667,0.861538,0.915254,0.567164,0.821429,0.357143,0.590164,0.842105,0.806452,0.631579] f_measure 0.666445 [0.584615,0.354839,0.9,0.384615,0.514286,0.848485,0.666667,0.724138,0.75,0.677419,0.590164,0.64,0.709677,0.557377,0.875,0.539683,0.698413,0.881356,0.75,0.557377,0.709677,0.377358,0.677966,0.703704,0.833333,0.821429] f_measure 0.678128 [0.607143,0.603175,0.885246,0.625,0.535714,0.678571,0.596491,0.754098,0.827586,0.727273,0.622951,0.654545,0.350877,0.513514,0.69697,0.5625,0.8125,0.779661,0.807018,0.6,0.75,0.533333,0.612903,0.9,0.827586,0.766667] f_measure 0.738301 [0.666667,0.679245,0.952381,0.576271,0.666667,0.807018,0.7,0.833333,0.77193,0.633333,0.617647,0.78125,0.54902,0.610169,0.754098,0.592593,0.8,0.888889,0.885246,0.615385,0.892857,0.550725,0.754098,0.857143,0.888889,0.870968] f_measure 0.671878 [0.5,0.466667,0.847458,0.415094,0.526316,0.776119,0.380952,0.711864,0.8,0.727273,0.721311,0.806452,0.474576,0.363636,0.758621,0.597015,0.8125,0.870968,0.857143,0.6,0.766667,0.491803,0.763636,0.877193,0.814815,0.740741] f_measure 0.644184 [0.6,0.433333,0.857143,0.59375,0.463768,0.745763,0.533333,0.8,0.711864,0.607143,0.508475,0.656716,0.62069,0.516129,0.741935,0.491803,0.851852,0.847458,0.745763,0.545455,0.763636,0.275862,0.615385,0.8125,0.866667,0.542373] f_measure 0.687051 [0.771429,0.518519,0.786885,0.566667,0.507937,0.666667,0.610169,0.888889,0.875,0.490566,0.690909,0.857143,0.545455,0.551724,0.777778,0.539683,0.711864,0.903226,0.83871,0.542373,0.813559,0.447761,0.7,0.793103,0.857143,0.610169] f_measure 0.716473 [0.586207,0.581818,0.903226,0.666667,0.464286,0.857143,0.754098,0.833333,0.78125,0.733333,0.730159,0.793651,0.645161,0.5,0.8,0.545455,0.716418,0.819672,0.915254,0.608696,0.733333,0.516129,0.642857,0.866667,0.862069,0.771429] f_measure 0.689435 [0.645161,0.333333,0.888889,0.551724,0.611111,0.8,0.666667,0.857143,0.830769,0.666667,0.603175,0.836364,0.721311,0.517241,0.701754,0.477612,0.730769,0.852459,0.847458,0.586207,0.793103,0.515152,0.596491,0.754098,0.862069,0.678571] f_measure 0.688572 [0.581818,0.507937,0.77193,0.634921,0.4,0.754098,0.517241,0.931034,0.78125,0.607143,0.769231,0.912281,0.653846,0.584615,0.827586,0.321429,0.736842,0.892308,0.754098,0.575758,0.631579,0.515152,0.813559,0.9,0.870968,0.65625] f_measure 0.692486 [0.5,0.517241,0.918033,0.646154,0.490566,0.785714,0.491803,0.774194,0.777778,0.676923,0.6875,0.779661,0.645161,0.551724,0.757576,0.433333,0.877193,0.852459,0.877193,0.448276,0.711864,0.454545,0.689655,0.920635,0.918033,0.821429] f_measure 0.682587 [0.575758,0.618182,0.758621,0.548387,0.580645,0.745763,0.576271,0.847458,0.833333,0.555556,0.625,0.677419,0.5,0.466667,0.774194,0.557377,0.777778,0.95082,0.785714,0.459016,0.8,0.448276,0.754098,0.870968,0.918033,0.741935] f_measure 0.672358 [0.6875,0.37931,0.827586,0.542373,0.415094,0.666667,0.709677,0.703704,0.909091,0.746269,0.603774,0.688525,0.436364,0.537313,0.793651,0.444444,0.779661,0.947368,0.835821,0.60274,0.753623,0.45614,0.518519,0.896552,0.885246,0.714286] f_measure 0.697447 [0.642857,0.655738,0.928571,0.581818,0.59375,0.806452,0.561404,0.806452,0.733333,0.644068,0.45283,0.806452,0.590164,0.516129,0.746269,0.5625,0.766667,0.862069,0.896552,0.707692,0.666667,0.46875,0.633333,0.786885,0.896552,0.819672] f_measure 0.672656 [0.622951,0.412698,0.847458,0.647059,0.551724,0.655172,0.545455,0.741935,0.8125,0.508475,0.5,0.833333,0.666667,0.603175,0.807018,0.491228,0.758621,0.903226,0.866667,0.451613,0.653846,0.4375,0.7,0.84375,0.928571,0.698413] f_measure 0.666822 [0.769231,0.610169,0.785714,0.542857,0.62963,0.71875,0.612903,0.819672,0.709677,0.539683,0.4,0.807018,0.644068,0.676923,0.779661,0.441558,0.740741,0.819672,0.774194,0.448276,0.714286,0.36,0.779661,0.709677,0.814815,0.688525] f_measure 0.688529 [0.657534,0.590164,0.851852,0.571429,0.557377,0.741935,0.597015,0.814815,0.787879,0.555556,0.6,0.666667,0.655172,0.528302,0.769231,0.444444,0.8,0.842105,0.807018,0.474576,0.852459,0.566667,0.745763,0.836364,0.833333,0.754098] f_measure 0.675568 [0.65625,0.62069,0.933333,0.590164,0.6875,0.787879,0.707692,0.721311,0.761905,0.625,0.653846,0.779661,0.474576,0.477612,0.825397,0.5,0.62069,0.807018,0.745763,0.551724,0.698413,0.311111,0.576271,0.75,0.915254,0.785714] f_measure 0.703328 [0.610169,0.553846,0.8,0.666667,0.566667,0.774194,0.571429,0.827586,0.758621,0.677419,0.634921,0.779661,0.741935,0.597015,0.866667,0.491228,0.763636,0.862069,0.847458,0.539683,0.769231,0.517241,0.678571,0.847458,0.761905,0.78125] f_measure 0.73203 [0.714286,0.6,0.933333,0.64,0.65625,0.716418,0.533333,0.84375,0.915254,0.655172,0.793651,0.766667,0.656716,0.65625,0.785714,0.603175,0.733333,0.872727,0.933333,0.644068,0.779661,0.466667,0.653846,0.857143,0.813559,0.80597] f_measure 0.688981 [0.617647,0.607143,0.813559,0.6,0.539683,0.655738,0.44898,0.9,0.754098,0.69697,0.481481,0.83871,0.633333,0.350877,0.842105,0.47619,0.896552,0.881356,0.842105,0.628571,0.830769,0.6,0.689655,0.78125,0.912281,0.592593] f_measure 0.639585 [0.586207,0.626866,0.753623,0.448276,0.518519,0.633333,0.474576,0.8125,0.701754,0.557377,0.606061,0.9,0.6,0.47619,0.8,0.24,0.786885,0.819672,0.688525,0.412698,0.83871,0.372881,0.703704,0.763636,0.852459,0.654545] f_measure 0.674023 [0.567164,0.523077,0.870968,0.407407,0.631579,0.753623,0.622951,0.885246,0.870968,0.701754,0.542373,0.785714,0.508475,0.491803,0.870968,0.327273,0.8,0.769231,0.716981,0.566667,0.807018,0.523077,0.689655,0.814815,0.83871,0.631579] f_measure 0.640977 [0.678571,0.448276,0.776119,0.516129,0.481481,0.724138,0.482759,0.819672,0.724138,0.571429,0.5625,0.776119,0.421053,0.37931,0.827586,0.515152,0.740741,0.793103,0.813559,0.535714,0.703704,0.40625,0.646154,0.666667,0.870968,0.786885] f_measure 0.691629 [0.698413,0.444444,0.78125,0.626866,0.59375,0.78125,0.392157,0.95082,0.875,0.625,0.701754,0.714286,0.464286,0.507463,0.888889,0.566667,0.688525,0.857143,0.931034,0.580645,0.689655,0.464286,0.833333,0.836364,0.777778,0.714286] f_measure 0.705711 [0.631579,0.610169,0.857143,0.557377,0.645161,0.814815,0.633333,0.892308,0.763636,0.754098,0.644068,0.861538,0.542373,0.655172,0.763636,0.5,0.847458,0.769231,0.793651,0.59375,0.736842,0.290909,0.738462,0.836364,0.857143,0.761905] f_measure 0.683894 [0.787879,0.561404,0.8,0.545455,0.655738,0.698413,0.440678,0.825397,0.754098,0.677419,0.736842,0.786885,0.533333,0.581818,0.819672,0.5,0.77193,0.918033,0.852459,0.533333,0.819672,0.333333,0.528302,0.703704,0.84375,0.766667] f_measure 0.681903 [0.745763,0.477612,0.847458,0.586207,0.548387,0.724138,0.703704,0.84375,0.709677,0.698413,0.596491,0.830769,0.586207,0.461538,0.793103,0.4,0.877193,0.825397,0.721311,0.646154,0.793103,0.419355,0.645161,0.738462,0.727273,0.779661] f_measure 0.700426 [0.807018,0.472727,0.83871,0.47619,0.59375,0.622951,0.642857,0.920635,0.833333,0.688525,0.766667,0.827586,0.57971,0.538462,0.870968,0.440678,0.833333,0.892308,0.666667,0.41791,0.827586,0.45614,0.666667,0.847458,0.9,0.779661] f_measure 0.709037 [0.677419,0.533333,0.885246,0.46875,0.538462,0.758621,0.774194,0.903226,0.740741,0.666667,0.75,0.872727,0.567164,0.448276,0.83871,0.666667,0.65625,0.83871,0.965517,0.490566,0.813559,0.492754,0.592593,0.84375,0.928571,0.724138] f_measure 0.671809 [0.590164,0.454545,0.821429,0.484848,0.576923,0.75,0.615385,0.758621,0.774194,0.581818,0.516129,0.68,0.596491,0.447761,0.666667,0.509091,0.857143,0.918033,0.644068,0.677419,0.793103,0.482759,0.7,0.877193,0.857143,0.83871] f_measure 0.700076 [0.586207,0.622951,0.842105,0.59375,0.626866,0.677966,0.566667,0.842105,0.813559,0.825397,0.792453,0.842105,0.584615,0.529412,0.83871,0.644068,0.721311,0.852459,0.903226,0.491803,0.596491,0.472727,0.633333,0.727273,0.807018,0.766667] f_measure 0.658305 [0.612903,0.526316,0.866667,0.606061,0.407407,0.586207,0.545455,0.813559,0.62069,0.618182,0.515152,0.71875,0.5,0.516129,0.741935,0.31746,0.666667,0.935484,0.740741,0.617647,0.896552,0.689655,0.557377,0.818182,0.885246,0.793103] f_measure 0.659007 [0.533333,0.545455,0.915254,0.492308,0.542373,0.642857,0.528302,0.833333,0.779661,0.454545,0.592593,0.766667,0.52,0.526316,0.774194,0.333333,0.786885,0.745763,0.870968,0.507463,0.847458,0.45614,0.733333,0.830769,0.78125,0.793103] f_measure 0.672895 [0.741935,0.42623,0.727273,0.40678,0.40678,0.827586,0.507463,0.9,0.806452,0.561404,0.716418,0.730159,0.56,0.321429,0.813559,0.461538,0.761905,0.915254,0.881356,0.607143,0.727273,0.592593,0.645161,0.966667,0.90625,0.581818] f_measure 0.657728 [0.603175,0.618182,0.833333,0.526316,0.542857,0.679245,0.517241,0.866667,0.705882,0.53125,0.53125,0.733333,0.603175,0.516129,0.885246,0.491803,0.754098,0.716418,0.8,0.508475,0.821429,0.346154,0.653846,0.847458,0.823529,0.645161] f_measure 0.702988 [0.666667,0.52459,0.903226,0.571429,0.561404,0.758621,0.548387,0.877193,0.8,0.645161,0.575758,0.615385,0.646154,0.666667,0.7,0.5,0.836364,0.807018,0.915254,0.590164,0.9,0.551724,0.689655,0.862069,0.866667,0.7] f_measure 0.679797 [0.774194,0.5,0.842105,0.4,0.301887,0.610169,0.545455,0.857143,0.80597,0.766667,0.676923,0.877193,0.666667,0.580645,0.827586,0.338462,0.766667,0.846154,0.777778,0.677966,0.793651,0.25,0.678571,0.8125,0.933333,0.764706] f_measure 0.673152 [0.698413,0.52459,0.833333,0.392857,0.464286,0.8,0.59375,0.851852,0.866667,0.7,0.483871,0.736842,0.5,0.537313,0.813559,0.464286,0.754717,0.857143,0.866667,0.557377,0.666667,0.369231,0.71875,0.847458,0.918033,0.688525] f_measure 0.718953 [0.62069,0.645161,0.909091,0.78125,0.586207,0.733333,0.701754,0.833333,0.857143,0.698413,0.733333,0.733333,0.533333,0.491803,0.813559,0.618182,0.84375,0.842105,0.6875,0.724138,0.857143,0.491228,0.610169,0.703704,0.888889,0.754717] f_measure 0.698598 [0.65625,0.615385,0.866667,0.636364,0.576271,0.8,0.393939,0.870968,0.833333,0.634921,0.633333,0.733333,0.44,0.515152,0.763636,0.523077,0.766667,0.90625,0.866667,0.576271,0.857143,0.47619,0.730159,0.842105,0.949153,0.703704] f_measure 0.67583 [0.701754,0.377358,0.807018,0.542857,0.576271,0.610169,0.619718,0.813559,0.847458,0.666667,0.636364,0.83871,0.679245,0.633333,0.83871,0.430769,0.77193,0.881356,0.655172,0.518519,0.716981,0.484848,0.576923,0.776119,0.881356,0.688525] f_measure 0.69121 [0.655738,0.690909,0.77193,0.558824,0.678571,0.745763,0.610169,0.918033,0.918033,0.636364,0.586207,0.714286,0.607143,0.305085,0.8125,0.535714,0.776119,0.949153,0.847458,0.472727,0.819672,0.4375,0.561404,0.833333,0.915254,0.615385] f_measure 0.696797 [0.618182,0.551724,0.885246,0.588235,0.491803,0.793651,0.491228,0.862069,0.75,0.666667,0.606061,0.830769,0.625,0.571429,0.836364,0.37931,0.77193,0.827586,0.877193,0.645161,0.896552,0.393939,0.701754,0.881356,0.8125,0.758621] f_measure 0.661592 [0.59375,0.407407,0.872727,0.466667,0.514286,0.727273,0.5625,0.881356,0.866667,0.707692,0.666667,0.813559,0.644068,0.350877,0.724138,0.421053,0.666667,0.847458,0.903226,0.491228,0.806452,0.391304,0.483871,0.825397,0.793103,0.771429] f_measure 0.685615 [0.688525,0.482759,0.833333,0.533333,0.539683,0.689655,0.688525,0.90625,0.833333,0.571429,0.655738,0.745763,0.45283,0.47619,0.819672,0.52459,0.852459,0.909091,0.779661,0.5,0.857143,0.430769,0.62069,0.83871,0.821429,0.766667] f_measure 0.678079 [0.727273,0.448276,0.842105,0.571429,0.59375,0.655738,0.618182,0.793651,0.825397,0.644068,0.5,0.8,0.612903,0.610169,0.877193,0.571429,0.666667,0.9,0.721311,0.610169,0.771429,0.333333,0.612903,0.75,0.77193,0.8] f_measure 0.647091 [0.45614,0.592593,0.903226,0.5,0.507937,0.603175,0.5625,0.78125,0.77193,0.7,0.590164,0.75,0.529412,0.440678,0.827586,0.393939,0.823529,0.833333,0.836364,0.385965,0.690909,0.32,0.557377,0.745763,0.866667,0.852459] f_measure 0.680298 [0.62963,0.4,0.912281,0.71875,0.586207,0.724138,0.575342,0.918033,0.690909,0.688525,0.508475,0.666667,0.6,0.545455,0.77193,0.461538,0.786885,0.881356,0.761905,0.542373,0.8,0.588235,0.5,0.833333,0.793103,0.8] kappa 0.658667 kappa 0.668 kappa 0.689333 kappa 0.682667 kappa 0.692 kappa 0.664 kappa 0.650667 kappa 0.678667 kappa 0.652 kappa 0.677333 kappa 0.685333 kappa 0.672 kappa 0.692 kappa 0.66 kappa 0.668 kappa 0.658667 kappa 0.7 kappa 0.689333 kappa 0.686667 kappa 0.689333 kappa 0.7 kappa 0.652 kappa 0.68 kappa 0.669333 kappa 0.712 kappa 0.666667 kappa 0.649333 kappa 0.666667 kappa 0.681333 kappa 0.674667 kappa 0.709333 kappa 0.642667 kappa 0.654667 kappa 0.693333 kappa 0.692 kappa 0.669333 kappa 0.68 kappa 0.674667 kappa 0.688 kappa 0.692 kappa 0.684 kappa 0.670667 kappa 0.654667 kappa 0.677333 kappa 0.668 kappa 0.677333 kappa 0.674667 kappa 0.684 kappa 0.678667 kappa 0.677333 kappa 0.656 kappa 0.657333 kappa 0.654667 kappa 0.664 kappa 0.728 kappa 0.66 kappa 0.628 kappa 0.677333 kappa 0.708 kappa 0.676 kappa 0.677333 kappa 0.68 kappa 0.670667 kappa 0.661333 kappa 0.685333 kappa 0.66 kappa 0.653333 kappa 0.676 kappa 0.665333 kappa 0.690667 kappa 0.720979 kappa 0.678255 kappa 0.628858 kappa 0.662234 kappa 0.627522 kappa 0.682262 kappa 0.696942 kappa 0.672915 kappa 0.670243 kappa 0.688936 kappa 0.696944 kappa 0.656896 kappa 0.686264 kappa 0.644877 kappa 0.646211 kappa 0.662233 kappa 0.644874 kappa 0.690269 kappa 0.667574 kappa 0.659564 kappa 0.710296 kappa 0.684927 kappa 0.66223 kappa 0.679589 kappa 0.682262 kappa 0.651553 kappa 0.674246 kappa 0.667575 kappa 0.6342 kappa 0.667574 kb_relative_information_score 520.927983 kb_relative_information_score 528.001644 kb_relative_information_score 544.199312 kb_relative_information_score 539.129869 kb_relative_information_score 546.215301 kb_relative_information_score 524.960958 kb_relative_information_score 514.842679 kb_relative_information_score 536.092129 kb_relative_information_score 515.856572 kb_relative_information_score 535.081184 kb_relative_information_score 541.160594 kb_relative_information_score 531.032503 kb_relative_information_score 546.226111 kb_relative_information_score 521.912407 kb_relative_information_score 527.996734 kb_relative_information_score 520.920125 kb_relative_information_score 552.292753 kb_relative_information_score 544.207167 kb_relative_information_score 542.177426 kb_relative_information_score 544.189499 kb_relative_information_score 552.285875 kb_relative_information_score 515.861486 kb_relative_information_score 537.108964 kb_relative_information_score 529.020443 kb_relative_information_score 561.396147 kb_relative_information_score 526.988738 kb_relative_information_score 513.832725 kb_relative_information_score 526.979892 kb_relative_information_score 538.124825 kb_relative_information_score 533.061266 kb_relative_information_score 559.3723 kb_relative_information_score 508.777028 kb_relative_information_score 517.882384 kb_relative_information_score 547.235094 kb_relative_information_score 546.224153 kb_relative_information_score 529.014546 kb_relative_information_score 537.108978 kb_relative_information_score 533.057337 kb_relative_information_score 543.177574 kb_relative_information_score 546.22415 kb_relative_information_score 540.140818 kb_relative_information_score 530.030404 kb_relative_information_score 517.880423 kb_relative_information_score 535.09003 kb_relative_information_score 528.017347 kb_relative_information_score 535.08905 kb_relative_information_score 533.065192 kb_relative_information_score 540.139833 kb_relative_information_score 536.099987 kb_relative_information_score 535.073333 kb_relative_information_score 518.898245 kb_relative_information_score 519.918999 kb_relative_information_score 517.900059 kb_relative_information_score 524.954087 kb_relative_information_score 573.53828 kb_relative_information_score 521.935986 kb_relative_information_score 497.645844 kb_relative_information_score 535.078243 kb_relative_information_score 558.373143 kb_relative_information_score 534.083004 kb_relative_information_score 535.088062 kb_relative_information_score 537.11289 kb_relative_information_score 530.02353 kb_relative_information_score 522.932198 kb_relative_information_score 541.164524 kb_relative_information_score 521.929098 kb_relative_information_score 516.875369 kb_relative_information_score 534.078098 kb_relative_information_score 525.983687 kb_relative_information_score 545.215163 kb_relative_information_score 567.48854 kb_relative_information_score 535.096131 kb_relative_information_score 497.651911 kb_relative_information_score 522.960894 kb_relative_information_score 496.638031 kb_relative_information_score 538.135806 kb_relative_information_score 549.264032 kb_relative_information_score 531.049418 kb_relative_information_score 529.024583 kb_relative_information_score 543.190509 kb_relative_information_score 549.266973 kb_relative_information_score 518.911184 kb_relative_information_score 541.167642 kb_relative_information_score 509.788143 kb_relative_information_score 510.800072 kb_relative_information_score 522.955943 kb_relative_information_score 509.79403 kb_relative_information_score 544.209308 kb_relative_information_score 526.999701 kb_relative_information_score 520.932092 kb_relative_information_score 559.383284 kb_relative_information_score 540.151801 kb_relative_information_score 522.948119 kb_relative_information_score 536.109984 kb_relative_information_score 538.142711 kb_relative_information_score 514.857626 kb_relative_information_score 532.053491 kb_relative_information_score 527.000689 kb_relative_information_score 501.699612 kb_relative_information_score 527.001713 mean_absolute_error 0.025247 mean_absolute_error 0.024556 mean_absolute_error 0.022978 mean_absolute_error 0.023471 mean_absolute_error 0.022781 mean_absolute_error 0.024852 mean_absolute_error 0.025838 mean_absolute_error 0.023767 mean_absolute_error 0.02574 mean_absolute_error 0.023866 mean_absolute_error 0.023274 mean_absolute_error 0.02426 mean_absolute_error 0.022781 mean_absolute_error 0.025148 mean_absolute_error 0.024556 mean_absolute_error 0.025247 mean_absolute_error 0.022189 mean_absolute_error 0.022978 mean_absolute_error 0.023176 mean_absolute_error 0.022978 mean_absolute_error 0.022189 mean_absolute_error 0.02574 mean_absolute_error 0.023669 mean_absolute_error 0.024458 mean_absolute_error 0.021302 mean_absolute_error 0.024655 mean_absolute_error 0.025937 mean_absolute_error 0.024655 mean_absolute_error 0.02357 mean_absolute_error 0.024063 mean_absolute_error 0.021499 mean_absolute_error 0.02643 mean_absolute_error 0.025542 mean_absolute_error 0.022682 mean_absolute_error 0.022781 mean_absolute_error 0.024458 mean_absolute_error 0.023669 mean_absolute_error 0.024063 mean_absolute_error 0.023077 mean_absolute_error 0.022781 mean_absolute_error 0.023373 mean_absolute_error 0.024359 mean_absolute_error 0.025542 mean_absolute_error 0.023866 mean_absolute_error 0.024556 mean_absolute_error 0.023866 mean_absolute_error 0.024063 mean_absolute_error 0.023373 mean_absolute_error 0.023767 mean_absolute_error 0.023866 mean_absolute_error 0.025444 mean_absolute_error 0.025345 mean_absolute_error 0.025542 mean_absolute_error 0.024852 mean_absolute_error 0.020118 mean_absolute_error 0.025148 mean_absolute_error 0.027515 mean_absolute_error 0.023866 mean_absolute_error 0.021598 mean_absolute_error 0.023964 mean_absolute_error 0.023866 mean_absolute_error 0.023669 mean_absolute_error 0.024359 mean_absolute_error 0.025049 mean_absolute_error 0.023274 mean_absolute_error 0.025148 mean_absolute_error 0.025641 mean_absolute_error 0.023964 mean_absolute_error 0.024753 mean_absolute_error 0.02288 mean_absolute_error 0.020638 mean_absolute_error 0.023798 mean_absolute_error 0.027451 mean_absolute_error 0.024983 mean_absolute_error 0.02755 mean_absolute_error 0.023502 mean_absolute_error 0.022415 mean_absolute_error 0.024193 mean_absolute_error 0.02439 mean_absolute_error 0.023008 mean_absolute_error 0.022415 mean_absolute_error 0.025378 mean_absolute_error 0.023205 mean_absolute_error 0.026266 mean_absolute_error 0.026168 mean_absolute_error 0.024983 mean_absolute_error 0.026266 mean_absolute_error 0.022909 mean_absolute_error 0.024588 mean_absolute_error 0.02518 mean_absolute_error 0.021428 mean_absolute_error 0.023304 mean_absolute_error 0.024983 mean_absolute_error 0.023699 mean_absolute_error 0.023502 mean_absolute_error 0.025773 mean_absolute_error 0.024094 mean_absolute_error 0.024588 mean_absolute_error 0.027056 mean_absolute_error 0.024588 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.676863 [0.583333,0.333333,0.733333,0.59375,0.518519,0.787879,0.606061,0.785714,0.862069,0.645161,0.65625,0.827586,0.580645,0.540541,0.846154,0.428571,0.7,0.928571,0.705882,0.52,0.7,0.666667,0.615385,0.857143,0.857143,0.71875] precision 0.690873 [0.709677,0.625,0.875,0.645161,0.542857,0.741935,0.536585,0.96,0.807692,0.612903,0.785714,0.615385,0.666667,0.538462,0.703704,0.424242,0.625,0.8,0.828571,0.59375,0.645161,0.517241,0.772727,0.925926,0.818182,0.645161] precision 0.702716 [0.888889,0.625,0.793103,0.558824,0.633333,0.793103,0.535714,0.851852,0.771429,0.5625,0.6,0.806452,0.636364,0.571429,0.8,0.551724,0.758621,0.928571,0.794118,0.580645,0.735294,0.448276,0.65625,0.851852,0.827586,0.709677] precision 0.70229 [0.564103,0.483871,0.925926,0.612903,0.459459,0.714286,0.606061,0.833333,0.857143,0.769231,0.592593,0.774194,0.548387,0.607143,0.787879,0.371429,0.793103,0.928571,0.866667,0.538462,0.884615,0.48,0.821429,0.793103,0.888889,0.756757] precision 0.710206 [0.633333,0.653846,0.923077,0.678571,0.636364,0.75,0.655172,0.764706,0.675,0.72,0.571429,0.777778,0.534884,0.636364,0.827586,0.52381,0.818182,0.870968,0.75,0.454545,0.793103,0.689655,0.689655,0.833333,0.862069,0.741935] precision 0.679339 [0.606061,0.545455,0.685714,0.551724,0.53125,0.75,0.575,0.931034,0.724138,0.769231,0.642857,0.677419,0.5,0.484848,0.771429,0.5625,0.827586,0.888889,0.818182,0.576923,0.870968,0.578947,0.714286,0.702703,0.857143,0.518519] precision 0.673554 [0.65625,0.592593,0.851852,0.461538,0.541667,0.59375,0.473684,0.958333,0.884615,0.777778,0.621622,0.677419,0.62069,0.444444,0.818182,0.448276,0.730769,0.833333,0.8,0.608696,0.628571,0.451613,0.615385,0.818182,0.888889,0.714286] precision 0.69628 [0.857143,0.545455,0.818182,0.642857,0.529412,0.558824,0.617647,0.903226,0.757576,0.703704,0.6,0.863636,0.566667,0.583333,0.870968,0.419355,0.733333,0.785714,0.625,0.515152,0.71875,0.592593,0.75,0.821429,0.83871,0.884615] precision 0.672181 [0.65,0.607143,0.733333,0.586207,0.586207,0.636364,0.395349,0.964286,0.742857,0.653846,0.75,0.703704,0.571429,0.392857,0.8,0.314286,0.814815,0.925926,0.78125,0.428571,0.666667,0.65,0.678571,0.787879,0.931034,0.724138] precision 0.703898 [0.636364,0.633333,0.84375,0.517241,0.47619,0.678571,0.529412,0.925926,1,0.633333,0.5625,0.785714,0.514286,0.432432,0.857143,0.565217,0.709677,0.909091,0.757576,0.555556,0.863636,0.555556,0.64,0.8,0.964286,0.954545] precision 0.703327 [0.68,0.466667,0.83871,0.666667,0.540541,0.92,0.588235,0.962963,0.833333,0.6,0.617647,0.69697,0.666667,0.529412,0.692308,0.428571,0.652174,0.862069,0.8,0.72,0.766667,0.448276,0.709677,0.961538,0.878788,0.758621] precision 0.688553 [0.571429,0.62069,0.92,0.6875,0.564103,0.76,0.666667,0.83871,0.736842,0.612903,0.5,0.925926,0.5,0.48,0.821429,0.48,0.851852,1,0.709677,0.605263,0.866667,0.461538,0.7,0.542857,0.794118,0.684211] precision 0.706521 [0.457143,0.583333,0.870968,0.564103,0.633333,0.833333,0.5,0.862069,0.870968,0.666667,0.676471,0.774194,0.833333,0.451613,0.78125,0.48,0.793103,0.896552,0.9,0.533333,0.8,0.5,0.645161,0.866667,0.818182,0.777778] precision 0.669094 [0.68,0.571429,0.8125,0.44,0.592593,0.684211,0.586207,0.806452,0.771429,0.655172,0.583333,0.806452,0.5,0.52,0.83871,0.555556,0.727273,0.965517,0.727273,0.625,0.709677,0.407407,0.653846,0.75,0.78125,0.645161] precision 0.684888 [0.580645,0.525,0.896552,0.527778,0.521739,0.807692,0.642857,0.852941,0.75,0.588235,0.548387,0.6,0.52,0.46875,0.742857,0.4375,1,0.96,0.892857,0.636364,0.8125,0.421053,0.625,0.806452,0.9,0.741935] precision 0.68072 [0.607143,0.612903,0.774194,0.666667,0.633333,0.647059,0.472222,0.758621,0.68,0.818182,0.724138,0.846154,0.473684,0.5,0.8125,0.404762,0.655172,0.923077,0.88,0.464286,0.787879,0.5,0.727273,0.771429,0.84375,0.714286] precision 0.713222 [0.7,0.416667,0.933333,0.6875,0.64,0.851852,0.621622,0.870968,0.962963,0.611111,0.714286,0.709677,0.59375,0.521739,0.628571,0.535714,0.814815,0.848485,0.818182,0.571429,0.821429,0.47619,0.655172,0.878788,0.892857,0.766667] precision 0.701797 [0.586207,0.466667,0.933333,0.678571,0.580645,0.8125,0.636364,0.814815,0.862069,0.689655,0.730769,0.733333,0.621622,0.518519,0.78125,0.461538,0.689655,0.892857,0.931034,0.5,0.714286,0.454545,0.741935,0.787879,0.96,0.666667] precision 0.702951 [0.578947,0.542857,0.785714,0.684211,0.521739,0.774194,0.727273,0.851852,0.884615,0.5,0.75,0.766667,0.6,0.590909,0.785714,0.454545,0.727273,0.875,0.833333,0.588235,0.8,0.482759,0.65625,0.925926,0.83871,0.75] precision 0.704909 [0.636364,0.580645,0.83871,0.5,0.62963,0.777778,0.555556,0.827586,0.8125,0.589744,0.8,0.83871,0.576923,0.432432,0.83871,0.6,0.612903,0.892857,0.758621,0.68,0.740741,0.53125,0.763158,0.846154,0.933333,0.733333] precision 0.717606 [0.685714,0.653846,0.84375,0.535714,0.5625,0.730769,0.724138,0.892857,0.806452,0.814815,0.689655,0.791667,0.606061,0.5,0.75,0.432432,0.92,0.870968,0.794118,0.566667,0.71875,0.470588,0.833333,0.84375,0.962963,0.65625] precision 0.672645 [0.575758,0.615385,0.727273,0.487805,0.424242,0.727273,0.633333,0.869565,0.83871,0.533333,0.567568,0.8,0.625,0.454545,0.741935,0.322581,0.88,0.967742,0.862069,0.461538,0.8125,0.464286,0.714286,0.766667,0.923077,0.692308] precision 0.69992 [0.628571,0.432432,0.821429,0.46875,0.517241,0.807692,0.575758,0.8,0.827586,0.633333,0.69697,0.806452,0.580645,0.464286,0.777778,0.392857,0.785714,0.866667,0.806452,0.578947,0.814815,0.695652,0.772727,0.903226,1,0.741935] precision 0.684496 [0.617647,0.448276,0.857143,0.641026,0.521739,0.742857,0.566667,0.83871,0.787879,0.666667,0.515152,0.9,0.555556,0.433333,0.9,0.392857,0.69697,0.878788,0.84,0.472222,0.833333,0.583333,0.708333,0.851852,0.958333,0.588235] precision 0.727885 [0.714286,0.56,0.848485,0.521739,0.432432,0.869565,0.655172,0.935484,0.757576,0.8125,0.793103,0.769231,0.636364,0.548387,0.787879,0.529412,0.787879,0.903226,0.823529,0.533333,0.866667,0.444444,0.727273,0.8125,0.9,0.954545] precision 0.689545 [0.617647,0.459459,0.966667,0.5,0.580645,0.71875,0.72,0.782609,0.774194,0.484848,0.64,0.88,0.419355,0.4,0.884615,0.481481,0.69697,0.931034,0.8125,0.703704,0.766667,0.5,0.617647,0.923077,0.83871,0.827586] precision 0.668649 [0.678571,0.44,0.833333,0.44186,0.575758,0.785714,0.586207,0.870968,0.806452,0.558824,0.617647,0.636364,0.518519,0.592593,0.692308,0.541667,0.826087,0.72973,0.8,0.483871,0.821429,0.451613,0.515152,0.923077,0.857143,0.8] precision 0.684958 [0.708333,0.594595,0.896552,0.705882,0.727273,0.566667,0.428571,0.933333,0.75,0.777778,0.657143,0.8,0.516129,0.470588,0.884615,0.515152,0.709677,0.741935,0.724138,0.433333,0.833333,0.548387,0.692308,0.741935,0.794118,0.657143] precision 0.69974 [0.705882,0.517241,0.793103,0.645161,0.5,0.757576,0.75,0.896552,0.793103,0.571429,0.769231,0.709677,0.583333,0.473684,0.851852,0.441176,0.714286,0.903226,0.833333,0.542857,0.75,0.529412,0.655172,0.75,0.964286,0.791667] precision 0.695245 [0.571429,0.592593,0.892857,0.785714,0.636364,0.666667,0.463415,0.821429,0.727273,0.625,0.655172,0.736842,0.551724,0.423077,0.875,0.441176,0.612903,0.766667,0.884615,0.615385,0.956522,0.607143,0.75,0.83871,0.875,0.703704] precision 0.727534 [0.714286,0.636364,0.931034,0.666667,0.571429,0.65625,0.638889,0.961538,0.782609,0.774194,0.793103,0.8125,0.59375,0.416667,0.705882,0.566667,0.888889,0.888889,0.69697,0.645161,0.806452,0.558824,0.689655,0.857143,0.8,0.862069] precision 0.65513 [0.53125,0.428571,0.757576,0.645161,0.533333,0.648649,0.517241,0.793103,0.821429,0.551724,0.48,0.741935,0.518519,0.518519,0.694444,0.423077,0.787879,0.8,0.758621,0.526316,0.807692,0.53125,0.76,0.741935,0.866667,0.848485] precision 0.673259 [0.485714,0.527778,0.857143,0.558824,0.52381,0.724138,0.592593,0.733333,0.818182,0.583333,0.529412,0.8,0.529412,0.411765,0.774194,0.388889,0.807692,0.9,0.9,0.645161,0.766667,0.636364,0.538462,0.821429,0.892857,0.757576] precision 0.714649 [0.741935,0.580645,0.862069,0.486486,0.566667,0.892857,0.534884,0.862069,0.807692,0.647059,0.625,0.941176,0.515152,0.529412,0.682927,0.48,0.787879,0.83871,0.9,0.608696,0.869565,0.538462,0.709677,0.965517,0.828571,0.777778] precision 0.71461 [0.641026,0.592593,0.848485,0.53125,0.62963,0.8125,0.482759,0.851852,0.78125,0.9,0.514286,0.703704,0.615385,0.5,0.694444,0.5,0.8,1,0.90625,0.486486,0.88,0.481481,0.758621,1,0.925926,0.741935] precision 0.692718 [0.484848,0.586207,0.896552,0.514286,0.533333,0.666667,0.617647,0.787879,0.757576,0.68,0.64,0.827586,0.586207,0.527778,0.724138,0.487179,0.793103,0.857143,0.869565,0.558824,0.857143,0.736842,0.642857,0.684211,0.9,0.793103] precision 0.696472 [0.529412,0.703704,0.892857,0.481481,0.540541,0.757576,0.678571,0.742857,0.787879,0.594595,0.583333,0.6875,0.434783,0.567568,0.758621,0.576923,0.862069,0.833333,0.884615,0.677419,0.64,0.473684,0.777778,0.862069,0.964286,0.814815] precision 0.692888 [0.666667,0.482759,0.793103,0.621622,0.538462,0.625,0.652174,0.931034,0.866667,0.638889,0.657143,0.916667,0.533333,0.64,0.833333,0.444444,0.722222,0.83871,0.647059,0.454545,0.958333,0.444444,0.645161,0.888889,0.878788,0.695652] precision 0.709971 [0.645161,0.59375,0.8125,0.555556,0.424242,0.677419,0.65625,0.92,0.833333,0.689655,0.529412,0.724138,0.5,0.555556,0.857143,0.5,0.925926,0.787879,0.827586,0.666667,0.892857,0.571429,0.814815,0.83871,0.925926,0.733333] precision 0.707601 [0.714286,0.34375,0.851852,0.566667,0.5,0.892857,0.580645,0.848485,0.828571,0.677419,0.689655,0.757576,0.782609,0.5,0.814815,0.387097,0.8125,0.84375,0.814815,0.6,0.785714,0.482759,0.785714,0.833333,0.928571,0.774194] precision 0.70556 [0.645161,0.333333,0.965517,0.653846,0.5,0.567568,0.72,0.931034,0.863636,0.766667,0.666667,0.764706,0.538462,0.441176,0.757576,0.653846,0.727273,0.931034,0.782609,0.555556,0.722222,0.5,0.75,0.866667,0.9,0.84] precision 0.686025 [0.441176,0.52,0.896552,0.59375,0.482759,0.657895,0.433333,0.862069,0.794118,0.851852,0.777778,0.8,0.652174,0.59375,0.71875,0.466667,0.787879,0.888889,0.677419,0.44,0.769231,0.5,0.615385,0.916667,0.870968,0.827586] precision 0.671331 [0.642857,0.607143,0.8125,0.5,0.473684,0.567568,0.6,0.8,0.851852,0.548387,0.666667,0.771429,0.592593,0.461538,0.793103,0.433333,0.875,0.875,0.740741,0.5,0.733333,0.55,0.625,0.793103,0.833333,0.806452] precision 0.688941 [0.625,0.423077,0.8125,0.548387,0.555556,0.862069,0.527778,0.794118,0.806452,0.65625,0.772727,0.818182,0.625,0.625,0.75,0.291667,0.78125,0.923077,0.83871,0.513514,0.814815,0.37931,0.642857,0.866667,0.961538,0.69697] precision 0.684701 [0.657143,0.482759,0.892857,0.4375,0.457143,0.771429,0.642857,0.928571,0.76,0.7,0.470588,0.888889,0.578947,0.315789,0.785714,0.607143,0.657895,0.857143,0.862069,0.592593,0.827586,0.4,0.638889,0.83871,1,0.75] precision 0.690379 [0.677419,0.483871,0.866667,0.6,0.46875,0.78125,0.633333,0.862069,0.764706,0.5,0.575758,0.84,0.5,0.464286,0.78125,0.448276,0.806452,0.892857,0.806452,0.535714,0.964286,0.433333,0.814815,0.878788,0.827586,0.741935] precision 0.687883 [0.606061,0.53125,0.833333,0.454545,0.576923,0.793103,0.605263,0.848485,0.787879,0.666667,0.68,0.714286,0.642857,0.538462,0.676471,0.5,0.774194,0.964286,0.74359,0.566667,0.806452,0.64,0.695652,0.692308,0.928571,0.617647] precision 0.704455 [0.8125,0.612903,0.857143,0.552632,0.548387,0.833333,0.466667,0.965517,0.806452,0.642857,0.7,0.722222,0.535714,0.64,0.888889,0.516129,0.730769,0.962963,0.833333,0.53125,0.666667,0.472222,0.65625,0.702703,0.866667,0.791667] precision 0.695149 [0.588235,0.533333,0.794118,0.68,0.517241,0.884615,0.615385,0.684211,0.84,0.555556,0.653846,0.807692,0.566667,0.470588,0.78125,0.625,0.625,0.84375,0.8,0.652174,0.703704,0.545455,0.821429,0.925926,0.83871,0.72] precision 0.69924 [0.638889,0.65625,0.793103,0.677419,0.657143,0.809524,0.567568,0.807692,0.83871,0.758621,0.558824,0.62069,0.636364,0.555556,0.684211,0.68,0.678571,0.846154,0.675676,0.518519,0.705882,0.518519,0.95,0.75,0.96,0.636364] precision 0.678932 [0.387097,0.447368,1,0.517241,0.583333,0.735294,0.59375,0.916667,0.818182,0.769231,0.595238,0.769231,0.4375,0.448276,0.882353,0.48,0.846154,0.806452,0.793103,0.62069,0.678571,0.444444,0.642857,0.92,0.862069,0.657143] precision 0.674119 [0.65625,0.545455,0.774194,0.516129,0.5,0.764706,0.393939,0.827586,0.88,0.617647,0.478261,0.83871,0.677419,0.387097,0.833333,0.538462,0.866667,0.8,0.931034,0.513514,0.884615,0.384615,0.580645,0.888889,0.78125,0.666667] precision 0.67234 [0.542857,0.34375,0.9,0.454545,0.45,0.777778,0.703704,0.75,0.807692,0.65625,0.580645,0.8,0.6875,0.548387,0.823529,0.515152,0.666667,0.896552,0.705882,0.548387,0.6875,0.434783,0.689655,0.791667,0.833333,0.884615] precision 0.684494 [0.653846,0.575758,0.870968,0.588235,0.576923,0.730769,0.62963,0.741935,0.857143,0.8,0.612903,0.72,0.37037,0.431818,0.638889,0.529412,0.764706,0.793103,0.851852,0.6,0.807692,0.533333,0.59375,0.9,0.857143,0.766667] precision 0.745646 [0.703704,0.782609,0.909091,0.586207,0.611111,0.851852,0.7,0.833333,0.814815,0.633333,0.552632,0.735294,0.666667,0.62069,0.741935,0.666667,0.88,0.848485,0.870968,0.571429,0.961538,0.487179,0.741935,0.923077,0.848485,0.84375] precision 0.677459 [0.5,0.466667,0.862069,0.478261,0.555556,0.702703,0.363636,0.724138,0.742857,0.8,0.709677,0.78125,0.482759,0.4,0.785714,0.540541,0.764706,0.84375,0.818182,0.525,0.766667,0.483871,0.84,0.925926,0.916667,0.833333] precision 0.651652 [0.6,0.433333,0.818182,0.558824,0.410256,0.758621,0.533333,0.88,0.724138,0.653846,0.517241,0.594595,0.642857,0.5,0.71875,0.483871,0.958333,0.862069,0.758621,0.5,0.84,0.285714,0.727273,0.764706,0.866667,0.551724] precision 0.69008 [0.675,0.583333,0.774194,0.566667,0.484848,0.703704,0.62069,0.848485,0.823529,0.565217,0.76,0.818182,0.6,0.571429,0.875,0.515152,0.724138,0.875,0.8125,0.551724,0.827586,0.405405,0.7,0.821429,0.818182,0.62069] precision 0.723355 [0.607143,0.64,0.875,0.703704,0.5,0.818182,0.741935,0.833333,0.735294,0.733333,0.69697,0.757576,0.625,0.538462,0.88,0.5,0.648649,0.806452,0.931034,0.875,0.733333,0.5,0.692308,0.866667,0.892857,0.675] precision 0.696769 [0.625,0.375,0.848485,0.571429,0.52381,0.8,0.666667,0.923077,0.771429,0.636364,0.575758,0.92,0.709677,0.535714,0.740741,0.432432,0.863636,0.83871,0.862069,0.607143,0.821429,0.472222,0.62963,0.741935,0.892857,0.730769] precision 0.692956 [0.64,0.484848,0.814815,0.606061,0.44,0.741935,0.535714,0.964286,0.735294,0.653846,0.714286,0.962963,0.772727,0.542857,0.857143,0.346154,0.777778,0.828571,0.741935,0.527778,0.666667,0.472222,0.827586,0.9,0.84375,0.617647] precision 0.697257 [0.5,0.535714,0.903226,0.6,0.565217,0.846154,0.483871,0.75,0.875,0.628571,0.647059,0.793103,0.625,0.571429,0.694444,0.433333,0.925926,0.83871,0.925926,0.464286,0.724138,0.416667,0.714286,0.878788,0.903226,0.884615] precision 0.68552 [0.527778,0.68,0.785714,0.53125,0.5625,0.758621,0.586207,0.862069,0.833333,0.625,0.588235,0.65625,0.538462,0.466667,0.75,0.548387,0.875,0.935484,0.846154,0.451613,0.742857,0.464286,0.741935,0.84375,0.903226,0.71875] precision 0.679566 [0.647059,0.392857,0.857143,0.551724,0.478261,0.703704,0.6875,0.791667,1,0.675676,0.695652,0.677419,0.48,0.486486,0.757576,0.424242,0.793103,1,0.756757,0.511628,0.666667,0.481481,0.583333,0.928571,0.870968,0.769231] precision 0.70183 [0.692308,0.645161,1,0.64,0.558824,0.78125,0.592593,0.78125,0.733333,0.655172,0.521739,0.78125,0.580645,0.5,0.675676,0.529412,0.766667,0.892857,0.928571,0.657143,0.75,0.441176,0.633333,0.774194,0.928571,0.806452] precision 0.677517 [0.612903,0.393939,0.862069,0.578947,0.571429,0.678571,0.6,0.71875,0.764706,0.517241,0.590909,0.833333,0.636364,0.575758,0.851852,0.518519,0.785714,0.875,0.866667,0.4375,0.772727,0.411765,0.7,0.794118,1,0.666667] precision 0.676238 [0.714286,0.62069,0.846154,0.475,0.708333,0.676471,0.59375,0.806452,0.6875,0.515152,0.5,0.851852,0.655172,0.628571,0.793103,0.361702,0.833333,0.806452,0.75,0.464286,0.769231,0.45,0.793103,0.6875,0.916667,0.677419] precision 0.696522 [0.55814,0.580645,0.958333,0.545455,0.548387,0.71875,0.540541,0.916667,0.722222,0.625,0.6,0.611111,0.678571,0.608696,0.714286,0.5,0.8,0.888889,0.851852,0.482759,0.83871,0.566667,0.758621,0.92,0.833333,0.741935] precision 0.680568 [0.617647,0.642857,0.933333,0.580645,0.647059,0.722222,0.657143,0.709677,0.727273,0.588235,0.772727,0.793103,0.482759,0.432432,0.787879,0.470588,0.642857,0.851852,0.758621,0.571429,0.666667,0.466667,0.586207,0.807692,0.931034,0.846154] precision 0.708037 [0.62069,0.514286,0.88,0.703704,0.566667,0.75,0.615385,0.857143,0.785714,0.65625,0.606061,0.793103,0.71875,0.540541,0.866667,0.518519,0.84,0.892857,0.862069,0.515152,0.714286,0.535714,0.730769,0.862069,0.727273,0.735294] precision 0.740337 [0.769231,0.6,0.933333,0.8,0.617647,0.648649,0.533333,0.794118,0.931034,0.678571,0.757576,0.766667,0.578947,0.617647,0.846154,0.575758,0.733333,0.96,0.933333,0.655172,0.793103,0.466667,0.772727,0.923077,0.827586,0.72973] precision 0.694323 [0.552632,0.653846,0.827586,0.6,0.515152,0.645161,0.578947,0.9,0.741935,0.638889,0.541667,0.8125,0.612903,0.37037,0.888889,0.454545,0.928571,0.896552,0.888889,0.55,0.771429,0.6,0.714286,0.735294,0.962963,0.666667] precision 0.641682 [0.607143,0.567568,0.666667,0.464286,0.583333,0.612903,0.482759,0.764706,0.740741,0.548387,0.555556,0.9,0.6,0.454545,0.8,0.3,0.774194,0.806452,0.677419,0.393939,0.8125,0.37931,0.791667,0.84,0.83871,0.72] precision 0.678815 [0.513514,0.485714,0.84375,0.458333,0.666667,0.666667,0.612903,0.870968,0.84375,0.740741,0.551724,0.846154,0.5,0.483871,0.84375,0.36,0.8,0.714286,0.826087,0.566667,0.851852,0.485714,0.714286,0.916667,0.8125,0.666667] precision 0.645366 [0.730769,0.464286,0.702703,0.5,0.541667,0.724138,0.5,0.806452,0.75,0.545455,0.529412,0.702703,0.444444,0.392857,0.857143,0.472222,0.833333,0.821429,0.827586,0.576923,0.791667,0.382353,0.6,0.666667,0.84375,0.774194] precision 0.695549 [0.666667,0.5,0.735294,0.567568,0.558824,0.714286,0.47619,0.935484,0.823529,0.588235,0.740741,0.769231,0.5,0.459459,0.848485,0.566667,0.677419,0.818182,0.964286,0.5625,0.714286,0.5,0.833333,0.92,0.875,0.769231] precision 0.707794 [0.666667,0.62069,0.818182,0.548387,0.625,0.88,0.633333,0.828571,0.84,0.741935,0.655172,0.8,0.551724,0.678571,0.84,0.538462,0.862069,0.714286,0.757576,0.558824,0.777778,0.32,0.685714,0.92,0.818182,0.727273] precision 0.686624 [0.722222,0.592593,0.88,0.5,0.645161,0.666667,0.448276,0.787879,0.741935,0.65625,0.777778,0.774194,0.516129,0.64,0.806452,0.5,0.814815,0.903226,0.83871,0.533333,0.806452,0.333333,0.608696,0.791667,0.794118,0.766667] precision 0.68592 [0.758621,0.432432,0.862069,0.607143,0.53125,0.75,0.791667,0.794118,0.6875,0.666667,0.62963,0.771429,0.586207,0.545455,0.821429,0.44,0.925926,0.787879,0.709677,0.6,0.821429,0.40625,0.625,0.685714,0.8,0.793103] precision 0.705859 [0.851852,0.52,0.8125,0.454545,0.558824,0.59375,0.692308,0.878788,0.833333,0.677419,0.766667,0.857143,0.512821,0.636364,0.84375,0.448276,0.833333,0.828571,0.809524,0.378378,0.857143,0.481481,0.666667,0.862069,0.9,0.793103] precision 0.715876 [0.65625,0.533333,0.870968,0.441176,0.636364,0.758621,0.75,0.875,0.833333,0.666667,0.705882,0.96,0.513514,0.464286,0.8125,0.666667,0.617647,0.8125,1,0.565217,0.827586,0.435897,0.666667,0.794118,1,0.75] precision 0.681262 [0.580645,0.416667,0.884615,0.444444,0.681818,0.685714,0.571429,0.785714,0.75,0.64,0.5,0.85,0.62963,0.405405,0.611111,0.56,0.818182,0.903226,0.655172,0.65625,0.821429,0.5,0.7,0.925926,0.923077,0.8125] precision 0.706509 [0.607143,0.612903,0.888889,0.558824,0.567568,0.666667,0.566667,0.888889,0.827586,0.787879,0.913043,0.888889,0.542857,0.473684,0.8125,0.655172,0.709677,0.83871,0.875,0.483871,0.62963,0.52,0.633333,0.8,0.851852,0.766667] precision 0.664422 [0.59375,0.555556,0.866667,0.555556,0.458333,0.586207,0.6,0.827586,0.642857,0.68,0.472222,0.676471,0.5,0.5,0.71875,0.30303,0.809524,0.90625,0.833333,0.552632,0.928571,0.714286,0.548387,0.75,0.870968,0.821429] precision 0.663649 [0.533333,0.5,0.931034,0.457143,0.551724,0.666667,0.608696,0.833333,0.793103,0.416667,0.666667,0.766667,0.65,0.555556,0.75,0.333333,0.774194,0.758621,0.84375,0.459459,0.862069,0.481481,0.733333,0.771429,0.735294,0.821429] precision 0.676774 [0.71875,0.419355,0.666667,0.413793,0.413793,0.827586,0.459459,0.9,0.78125,0.592593,0.648649,0.69697,0.7,0.346154,0.827586,0.428571,0.727273,0.931034,0.896552,0.653846,0.8,0.666667,0.625,0.966667,0.852941,0.64] precision 0.66494 [0.575758,0.68,0.833333,0.555556,0.475,0.75,0.535714,0.866667,0.857143,0.5,0.5,0.733333,0.575758,0.5,0.870968,0.483871,0.741935,0.648649,0.8,0.517241,0.884615,0.409091,0.772727,0.862069,0.736842,0.625] precision 0.708123 [0.611111,0.516129,0.875,0.545455,0.592593,0.758621,0.53125,0.925926,0.742857,0.625,0.527778,0.727273,0.6,0.666667,0.7,0.538462,0.92,0.851852,0.931034,0.580645,0.9,0.571429,0.714286,0.892857,0.866667,0.7] precision 0.686552 [0.75,0.470588,0.888889,0.4,0.347826,0.6,0.6,0.923077,0.72973,0.766667,0.628571,0.925926,0.611111,0.5625,0.857143,0.314286,0.766667,1,0.875,0.689655,0.757576,0.269231,0.730769,0.764706,0.933333,0.684211] precision 0.677869 [0.666667,0.516129,0.833333,0.423077,0.5,0.774194,0.558824,0.958333,0.866667,0.7,0.46875,0.777778,0.538462,0.486486,0.827586,0.5,0.869565,0.818182,0.866667,0.548387,0.666667,0.342857,0.676471,0.862069,0.903226,0.677419] precision 0.721202 [0.642857,0.625,0.833333,0.735294,0.607143,0.709677,0.740741,0.833333,0.818182,0.666667,0.733333,0.733333,0.533333,0.483871,0.827586,0.68,0.794118,0.888889,0.647059,0.75,0.818182,0.518519,0.62069,0.791667,0.848485,0.869565] precision 0.706717 [0.617647,0.727273,0.866667,0.583333,0.586207,0.846154,0.361111,0.84375,0.833333,0.606061,0.633333,0.733333,0.55,0.472222,0.84,0.485714,0.766667,0.852941,0.866667,0.586207,0.923077,0.454545,0.69697,0.888889,0.965517,0.791667] precision 0.684383 [0.740741,0.434783,0.851852,0.475,0.586207,0.62069,0.536585,0.827586,0.862069,0.666667,0.583333,0.8125,0.75,0.633333,0.8125,0.4,0.814815,0.896552,0.678571,0.583333,0.826087,0.444444,0.681818,0.702703,0.896552,0.677419] precision 0.695091 [0.645161,0.76,0.814815,0.5,0.730769,0.733333,0.62069,0.903226,0.903226,0.583333,0.607143,0.769231,0.653846,0.310345,0.764706,0.576923,0.702703,0.965517,0.862069,0.52,0.806452,0.411765,0.592593,0.833333,0.931034,0.571429] precision 0.704641 [0.68,0.571429,0.870968,0.526316,0.483871,0.757576,0.518519,0.892857,0.807692,0.75,0.555556,0.771429,0.571429,0.545455,0.92,0.392857,0.814815,0.857143,0.925926,0.625,0.928571,0.361111,0.740741,0.896552,0.764706,0.785714] precision 0.666833 [0.558824,0.458333,0.96,0.466667,0.45,0.8,0.529412,0.896552,0.866667,0.657143,0.703704,0.827586,0.633333,0.37037,0.75,0.444444,0.611111,0.862069,0.875,0.518519,0.78125,0.5625,0.46875,0.787879,0.821429,0.675] precision 0.687426 [0.677419,0.5,0.833333,0.533333,0.515152,0.714286,0.677419,0.852941,0.833333,0.615385,0.645161,0.758621,0.5,0.454545,0.806452,0.516129,0.83871,0.833333,0.793103,0.538462,0.923077,0.4,0.642857,0.8125,0.884615,0.766667] precision 0.682078 [0.8,0.464286,0.888889,0.545455,0.558824,0.625,0.68,0.757576,0.787879,0.655172,0.470588,0.8,0.59375,0.62069,0.925926,0.545455,0.703704,0.9,0.709677,0.62069,0.675,0.444444,0.59375,0.807692,0.814815,0.742857] precision 0.651845 [0.481481,0.666667,0.875,0.5,0.484848,0.558824,0.529412,0.735294,0.814815,0.7,0.580645,0.807692,0.473684,0.448276,0.857143,0.361111,0.736842,0.833333,0.92,0.407407,0.76,0.4,0.548387,0.758621,0.866667,0.83871] precision 0.686739 [0.708333,0.44,0.962963,0.676471,0.607143,0.75,0.488372,0.903226,0.76,0.677419,0.517241,0.636364,0.580645,0.5,0.814815,0.428571,0.774194,0.896552,0.727273,0.551724,0.742857,0.714286,0.538462,0.833333,0.821429,0.8] predictive_accuracy 0.671795 predictive_accuracy 0.680769 predictive_accuracy 0.701282 predictive_accuracy 0.694872 predictive_accuracy 0.703846 predictive_accuracy 0.676923 predictive_accuracy 0.664103 predictive_accuracy 0.691026 predictive_accuracy 0.665385 predictive_accuracy 0.689744 predictive_accuracy 0.697436 predictive_accuracy 0.684615 predictive_accuracy 0.703846 predictive_accuracy 0.673077 predictive_accuracy 0.680769 predictive_accuracy 0.671795 predictive_accuracy 0.711538 predictive_accuracy 0.701282 predictive_accuracy 0.698718 predictive_accuracy 0.701282 predictive_accuracy 0.711538 predictive_accuracy 0.665385 predictive_accuracy 0.692308 predictive_accuracy 0.682051 predictive_accuracy 0.723077 predictive_accuracy 0.679487 predictive_accuracy 0.662821 predictive_accuracy 0.679487 predictive_accuracy 0.69359 predictive_accuracy 0.687179 predictive_accuracy 0.720513 predictive_accuracy 0.65641 predictive_accuracy 0.667949 predictive_accuracy 0.705128 predictive_accuracy 0.703846 predictive_accuracy 0.682051 predictive_accuracy 0.692308 predictive_accuracy 0.687179 predictive_accuracy 0.7 predictive_accuracy 0.703846 predictive_accuracy 0.696154 predictive_accuracy 0.683333 predictive_accuracy 0.667949 predictive_accuracy 0.689744 predictive_accuracy 0.680769 predictive_accuracy 0.689744 predictive_accuracy 0.687179 predictive_accuracy 0.696154 predictive_accuracy 0.691026 predictive_accuracy 0.689744 predictive_accuracy 0.669231 predictive_accuracy 0.670513 predictive_accuracy 0.667949 predictive_accuracy 0.676923 predictive_accuracy 0.738462 predictive_accuracy 0.673077 predictive_accuracy 0.642308 predictive_accuracy 0.689744 predictive_accuracy 0.719231 predictive_accuracy 0.688462 predictive_accuracy 0.689744 predictive_accuracy 0.692308 predictive_accuracy 0.683333 predictive_accuracy 0.674359 predictive_accuracy 0.697436 predictive_accuracy 0.673077 predictive_accuracy 0.666667 predictive_accuracy 0.688462 predictive_accuracy 0.678205 predictive_accuracy 0.702564 predictive_accuracy 0.731707 predictive_accuracy 0.690629 predictive_accuracy 0.643132 predictive_accuracy 0.675225 predictive_accuracy 0.641849 predictive_accuracy 0.69448 predictive_accuracy 0.708601 predictive_accuracy 0.685494 predictive_accuracy 0.682927 predictive_accuracy 0.700899 predictive_accuracy 0.708601 predictive_accuracy 0.67009 predictive_accuracy 0.698331 predictive_accuracy 0.658537 predictive_accuracy 0.65982 predictive_accuracy 0.675225 predictive_accuracy 0.658537 predictive_accuracy 0.702182 predictive_accuracy 0.680359 predictive_accuracy 0.672657 predictive_accuracy 0.721438 predictive_accuracy 0.697047 predictive_accuracy 0.675225 predictive_accuracy 0.691913 predictive_accuracy 0.69448 predictive_accuracy 0.664955 predictive_accuracy 0.686778 predictive_accuracy 0.680359 predictive_accuracy 0.648267 predictive_accuracy 0.680359 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 recall 0.671795 [0.466667,0.433333,0.733333,0.633333,0.466667,0.866667,0.666667,0.733333,0.833333,0.666667,0.7,0.8,0.6,0.666667,0.733333,0.4,0.7,0.866667,0.8,0.433333,0.7,0.666667,0.533333,0.8,0.8,0.766667] recall 0.680769 [0.733333,0.5,0.7,0.666667,0.633333,0.766667,0.733333,0.8,0.7,0.633333,0.733333,0.8,0.466667,0.7,0.633333,0.466667,0.5,0.8,0.966667,0.633333,0.666667,0.5,0.566667,0.833333,0.9,0.666667] recall 0.701282 [0.8,0.5,0.766667,0.633333,0.633333,0.766667,0.5,0.766667,0.9,0.6,0.6,0.833333,0.7,0.533333,0.8,0.533333,0.733333,0.866667,0.9,0.6,0.833333,0.433333,0.7,0.766667,0.8,0.733333] recall 0.694872 [0.733333,0.5,0.833333,0.633333,0.566667,0.666667,0.666667,0.833333,0.8,0.666667,0.533333,0.8,0.566667,0.566667,0.866667,0.433333,0.766667,0.866667,0.866667,0.466667,0.766667,0.4,0.766667,0.766667,0.8,0.933333] recall 0.703846 [0.633333,0.566667,0.8,0.633333,0.7,0.6,0.633333,0.866667,0.9,0.6,0.533333,0.7,0.766667,0.466667,0.8,0.366667,0.9,0.9,0.9,0.666667,0.766667,0.666667,0.666667,0.666667,0.833333,0.766667] recall 0.676923 [0.666667,0.6,0.8,0.533333,0.566667,0.7,0.766667,0.9,0.7,0.666667,0.6,0.7,0.433333,0.533333,0.9,0.6,0.8,0.8,0.6,0.5,0.9,0.366667,0.833333,0.866667,0.8,0.466667] recall 0.664103 [0.7,0.533333,0.766667,0.6,0.433333,0.633333,0.6,0.766667,0.766667,0.7,0.766667,0.7,0.6,0.533333,0.9,0.433333,0.633333,0.833333,0.8,0.466667,0.733333,0.466667,0.533333,0.9,0.8,0.666667] recall 0.691026 [0.8,0.4,0.9,0.6,0.6,0.633333,0.7,0.933333,0.833333,0.633333,0.7,0.633333,0.566667,0.7,0.9,0.433333,0.733333,0.733333,0.666667,0.566667,0.766667,0.533333,0.6,0.766667,0.866667,0.766667] recall 0.665385 [0.866667,0.566667,0.733333,0.566667,0.566667,0.7,0.566667,0.9,0.866667,0.566667,0.7,0.633333,0.533333,0.366667,0.8,0.366667,0.733333,0.833333,0.833333,0.4,0.666667,0.433333,0.633333,0.866667,0.9,0.7] recall 0.689744 [0.7,0.633333,0.9,0.5,0.666667,0.633333,0.6,0.833333,0.833333,0.633333,0.6,0.733333,0.6,0.533333,0.8,0.433333,0.733333,1,0.833333,0.666667,0.633333,0.5,0.533333,0.8,0.9,0.7] recall 0.697436 [0.566667,0.466667,0.866667,0.6,0.666667,0.766667,0.666667,0.866667,0.666667,0.7,0.7,0.766667,0.6,0.6,0.9,0.4,0.5,0.833333,0.933333,0.6,0.766667,0.433333,0.733333,0.833333,0.966667,0.733333] recall 0.684615 [0.533333,0.6,0.766667,0.733333,0.733333,0.633333,0.6,0.866667,0.933333,0.633333,0.5,0.833333,0.566667,0.4,0.766667,0.4,0.766667,0.9,0.733333,0.766667,0.866667,0.4,0.466667,0.633333,0.9,0.866667] recall 0.703846 [0.533333,0.466667,0.9,0.733333,0.633333,0.833333,0.466667,0.833333,0.9,0.666667,0.766667,0.8,0.666667,0.466667,0.833333,0.4,0.766667,0.866667,0.9,0.533333,0.666667,0.533333,0.666667,0.866667,0.9,0.7] recall 0.673077 [0.566667,0.666667,0.866667,0.366667,0.533333,0.433333,0.566667,0.833333,0.9,0.633333,0.7,0.833333,0.533333,0.433333,0.866667,0.666667,0.8,0.933333,0.8,0.5,0.733333,0.366667,0.566667,0.9,0.833333,0.666667] recall 0.680769 [0.6,0.7,0.866667,0.633333,0.4,0.7,0.6,0.966667,0.7,0.666667,0.566667,0.8,0.433333,0.5,0.866667,0.466667,0.766667,0.8,0.833333,0.7,0.866667,0.266667,0.5,0.833333,0.9,0.766667] recall 0.671795 [0.566667,0.633333,0.8,0.666667,0.633333,0.733333,0.566667,0.733333,0.566667,0.6,0.7,0.733333,0.6,0.533333,0.866667,0.566667,0.633333,0.8,0.733333,0.433333,0.866667,0.333333,0.533333,0.9,0.9,0.833333] recall 0.711538 [0.7,0.333333,0.933333,0.733333,0.533333,0.766667,0.766667,0.9,0.866667,0.733333,0.5,0.733333,0.633333,0.4,0.733333,0.5,0.733333,0.933333,0.9,0.533333,0.766667,0.666667,0.633333,0.966667,0.833333,0.766667] recall 0.701282 [0.566667,0.466667,0.933333,0.633333,0.6,0.866667,0.7,0.733333,0.833333,0.666667,0.633333,0.733333,0.766667,0.466667,0.833333,0.4,0.666667,0.833333,0.9,0.6,0.833333,0.333333,0.766667,0.866667,0.8,0.8] recall 0.698718 [0.733333,0.633333,0.733333,0.433333,0.4,0.8,0.8,0.766667,0.766667,0.566667,0.7,0.766667,0.7,0.433333,0.733333,0.5,0.8,0.933333,0.833333,0.666667,0.8,0.466667,0.7,0.833333,0.866667,0.8] recall 0.701282 [0.7,0.6,0.866667,0.466667,0.566667,0.7,0.5,0.8,0.866667,0.766667,0.666667,0.866667,0.5,0.533333,0.866667,0.6,0.633333,0.833333,0.733333,0.566667,0.666667,0.566667,0.966667,0.733333,0.933333,0.733333] recall 0.711538 [0.8,0.566667,0.9,0.5,0.6,0.633333,0.7,0.833333,0.833333,0.733333,0.666667,0.633333,0.666667,0.433333,0.9,0.533333,0.766667,0.9,0.9,0.566667,0.766667,0.533333,0.666667,0.9,0.866667,0.7] recall 0.665385 [0.633333,0.533333,0.8,0.666667,0.466667,0.8,0.633333,0.666667,0.866667,0.533333,0.7,0.8,0.5,0.5,0.766667,0.333333,0.733333,1,0.833333,0.4,0.866667,0.433333,0.666667,0.766667,0.8,0.6] recall 0.692308 [0.733333,0.533333,0.766667,0.5,0.5,0.7,0.633333,0.8,0.8,0.633333,0.766667,0.833333,0.6,0.433333,0.933333,0.366667,0.733333,0.866667,0.833333,0.733333,0.733333,0.533333,0.566667,0.933333,0.766667,0.766667] recall 0.682051 [0.7,0.433333,0.8,0.833333,0.4,0.866667,0.566667,0.866667,0.866667,0.666667,0.566667,0.9,0.5,0.433333,0.9,0.366667,0.766667,0.966667,0.7,0.566667,0.833333,0.466667,0.566667,0.766667,0.766667,0.666667] recall 0.723077 [0.666667,0.466667,0.933333,0.4,0.533333,0.666667,0.633333,0.966667,0.833333,0.866667,0.766667,0.666667,0.7,0.566667,0.866667,0.6,0.866667,0.933333,0.933333,0.533333,0.866667,0.533333,0.533333,0.866667,0.9,0.7] recall 0.679487 [0.7,0.566667,0.966667,0.566667,0.6,0.766667,0.6,0.6,0.8,0.533333,0.533333,0.733333,0.433333,0.466667,0.766667,0.433333,0.766667,0.9,0.866667,0.633333,0.766667,0.5,0.7,0.8,0.866667,0.8] recall 0.662821 [0.633333,0.366667,0.833333,0.633333,0.633333,0.733333,0.566667,0.9,0.833333,0.633333,0.7,0.7,0.466667,0.533333,0.6,0.433333,0.633333,0.9,0.8,0.5,0.766667,0.466667,0.566667,0.8,0.8,0.8] recall 0.679487 [0.566667,0.733333,0.866667,0.8,0.533333,0.566667,0.4,0.933333,0.7,0.7,0.766667,0.8,0.533333,0.533333,0.766667,0.566667,0.733333,0.766667,0.7,0.433333,0.666667,0.566667,0.6,0.766667,0.9,0.766667] recall 0.69359 [0.8,0.5,0.766667,0.666667,0.4,0.833333,0.6,0.866667,0.766667,0.666667,0.666667,0.733333,0.466667,0.6,0.766667,0.5,0.666667,0.933333,0.833333,0.633333,0.8,0.6,0.633333,0.8,0.9,0.633333] recall 0.687179 [0.666667,0.533333,0.833333,0.733333,0.7,0.733333,0.633333,0.766667,0.8,0.666667,0.633333,0.933333,0.533333,0.366667,0.7,0.5,0.633333,0.766667,0.766667,0.533333,0.733333,0.566667,0.7,0.866667,0.933333,0.633333] recall 0.720513 [0.666667,0.466667,0.9,0.733333,0.533333,0.7,0.766667,0.833333,0.6,0.8,0.766667,0.866667,0.633333,0.5,0.8,0.566667,0.8,0.8,0.766667,0.666667,0.833333,0.633333,0.666667,0.8,0.8,0.833333] recall 0.65641 [0.566667,0.4,0.833333,0.666667,0.533333,0.8,0.5,0.766667,0.766667,0.533333,0.4,0.766667,0.466667,0.466667,0.833333,0.366667,0.866667,0.666667,0.733333,0.666667,0.7,0.566667,0.633333,0.766667,0.866667,0.933333] recall 0.667949 [0.566667,0.633333,0.8,0.633333,0.366667,0.7,0.533333,0.733333,0.9,0.466667,0.6,0.8,0.6,0.466667,0.8,0.466667,0.7,0.9,0.9,0.666667,0.766667,0.466667,0.466667,0.766667,0.833333,0.833333] recall 0.705128 [0.766667,0.6,0.833333,0.6,0.566667,0.833333,0.766667,0.833333,0.7,0.733333,0.5,0.533333,0.566667,0.6,0.933333,0.4,0.866667,0.866667,0.9,0.466667,0.666667,0.466667,0.733333,0.933333,0.966667,0.7] recall 0.703846 [0.833333,0.533333,0.933333,0.566667,0.566667,0.866667,0.466667,0.766667,0.833333,0.6,0.6,0.633333,0.533333,0.633333,0.833333,0.5,0.8,0.833333,0.966667,0.6,0.733333,0.433333,0.733333,0.9,0.833333,0.766667] recall 0.682051 [0.533333,0.566667,0.866667,0.6,0.533333,0.733333,0.7,0.866667,0.833333,0.566667,0.533333,0.8,0.566667,0.633333,0.7,0.633333,0.766667,0.8,0.666667,0.633333,0.6,0.466667,0.6,0.866667,0.9,0.766667] recall 0.692308 [0.6,0.633333,0.833333,0.433333,0.666667,0.833333,0.633333,0.866667,0.866667,0.733333,0.466667,0.733333,0.333333,0.7,0.733333,0.5,0.833333,0.833333,0.766667,0.7,0.533333,0.6,0.7,0.833333,0.9,0.733333] recall 0.687179 [0.666667,0.466667,0.766667,0.766667,0.466667,0.666667,0.5,0.9,0.866667,0.766667,0.766667,0.733333,0.533333,0.533333,0.833333,0.4,0.866667,0.866667,0.733333,0.5,0.766667,0.533333,0.666667,0.8,0.966667,0.533333] recall 0.7 [0.666667,0.633333,0.866667,0.666667,0.466667,0.7,0.7,0.766667,0.666667,0.666667,0.6,0.7,0.5,0.666667,0.8,0.566667,0.833333,0.866667,0.8,0.533333,0.833333,0.533333,0.733333,0.866667,0.833333,0.733333] recall 0.703846 [0.666667,0.366667,0.766667,0.566667,0.433333,0.833333,0.6,0.933333,0.966667,0.7,0.666667,0.833333,0.6,0.6,0.733333,0.4,0.866667,0.9,0.733333,0.7,0.733333,0.466667,0.733333,0.833333,0.866667,0.8] recall 0.696154 [0.666667,0.466667,0.933333,0.566667,0.4,0.7,0.6,0.9,0.633333,0.766667,0.733333,0.866667,0.466667,0.5,0.833333,0.566667,0.8,0.9,0.6,0.833333,0.866667,0.333333,0.7,0.866667,0.9,0.7] recall 0.683333 [0.5,0.433333,0.866667,0.633333,0.466667,0.833333,0.433333,0.833333,0.9,0.766667,0.933333,0.8,0.5,0.633333,0.766667,0.466667,0.866667,0.8,0.7,0.366667,0.666667,0.633333,0.533333,0.733333,0.9,0.8] recall 0.667949 [0.6,0.566667,0.866667,0.6,0.6,0.7,0.7,0.8,0.766667,0.566667,0.666667,0.9,0.533333,0.4,0.766667,0.433333,0.7,0.933333,0.666667,0.566667,0.733333,0.366667,0.5,0.766667,0.833333,0.833333] recall 0.689744 [0.666667,0.366667,0.866667,0.566667,0.5,0.833333,0.633333,0.9,0.833333,0.7,0.566667,0.9,0.5,0.666667,0.9,0.233333,0.833333,0.8,0.866667,0.633333,0.733333,0.366667,0.6,0.866667,0.833333,0.766667] recall 0.680769 [0.766667,0.466667,0.833333,0.466667,0.533333,0.9,0.6,0.866667,0.633333,0.7,0.533333,0.8,0.733333,0.2,0.733333,0.566667,0.833333,0.8,0.833333,0.533333,0.8,0.4,0.766667,0.866667,0.833333,0.7] recall 0.689744 [0.7,0.5,0.866667,0.6,0.5,0.833333,0.633333,0.833333,0.866667,0.5,0.633333,0.7,0.466667,0.433333,0.833333,0.433333,0.833333,0.833333,0.833333,0.5,0.9,0.433333,0.733333,0.966667,0.8,0.766667] recall 0.687179 [0.666667,0.566667,0.833333,0.5,0.5,0.766667,0.766667,0.933333,0.866667,0.6,0.566667,0.666667,0.6,0.466667,0.766667,0.5,0.8,0.9,0.966667,0.566667,0.833333,0.533333,0.533333,0.6,0.866667,0.7] recall 0.696154 [0.866667,0.633333,0.8,0.7,0.566667,0.666667,0.466667,0.933333,0.833333,0.6,0.7,0.866667,0.5,0.533333,0.8,0.533333,0.633333,0.866667,0.666667,0.566667,0.733333,0.566667,0.7,0.866667,0.866667,0.633333] recall 0.691026 [0.666667,0.533333,0.9,0.566667,0.5,0.766667,0.8,0.866667,0.7,0.5,0.566667,0.7,0.566667,0.533333,0.833333,0.666667,0.666667,0.9,0.933333,0.5,0.633333,0.6,0.766667,0.833333,0.866667,0.6] recall 0.689744 [0.766667,0.7,0.766667,0.7,0.766667,0.566667,0.7,0.7,0.866667,0.733333,0.633333,0.6,0.466667,0.666667,0.866667,0.566667,0.633333,0.733333,0.833333,0.466667,0.8,0.466667,0.633333,0.8,0.8,0.7] recall 0.669231 [0.4,0.566667,0.833333,0.5,0.466667,0.833333,0.633333,0.733333,0.9,0.666667,0.833333,0.666667,0.466667,0.433333,1,0.4,0.733333,0.833333,0.766667,0.6,0.633333,0.533333,0.6,0.766667,0.833333,0.766667] recall 0.670513 [0.7,0.6,0.8,0.533333,0.533333,0.866667,0.433333,0.8,0.733333,0.7,0.366667,0.866667,0.7,0.4,0.666667,0.466667,0.866667,0.933333,0.9,0.633333,0.766667,0.333333,0.6,0.8,0.833333,0.6] recall 0.667949 [0.633333,0.366667,0.9,0.333333,0.6,0.933333,0.633333,0.7,0.7,0.7,0.6,0.533333,0.733333,0.566667,0.933333,0.566667,0.733333,0.866667,0.8,0.566667,0.733333,0.333333,0.666667,0.633333,0.833333,0.766667] recall 0.676923 [0.566667,0.633333,0.9,0.666667,0.5,0.633333,0.566667,0.766667,0.8,0.666667,0.633333,0.6,0.333333,0.633333,0.766667,0.6,0.866667,0.766667,0.766667,0.6,0.7,0.533333,0.633333,0.9,0.8,0.766667] recall 0.738462 [0.633333,0.6,1,0.566667,0.733333,0.766667,0.7,0.833333,0.733333,0.633333,0.7,0.833333,0.466667,0.6,0.766667,0.533333,0.733333,0.933333,0.9,0.666667,0.833333,0.633333,0.766667,0.8,0.933333,0.9] recall 0.673077 [0.5,0.466667,0.833333,0.366667,0.5,0.866667,0.4,0.7,0.866667,0.666667,0.733333,0.833333,0.466667,0.333333,0.733333,0.666667,0.866667,0.9,0.9,0.7,0.766667,0.5,0.7,0.833333,0.733333,0.666667] recall 0.642308 [0.6,0.433333,0.9,0.633333,0.533333,0.733333,0.533333,0.733333,0.7,0.566667,0.5,0.733333,0.6,0.533333,0.766667,0.5,0.766667,0.833333,0.733333,0.6,0.7,0.266667,0.533333,0.866667,0.866667,0.533333] recall 0.689744 [0.9,0.466667,0.8,0.566667,0.533333,0.633333,0.6,0.933333,0.933333,0.433333,0.633333,0.9,0.5,0.533333,0.7,0.566667,0.7,0.933333,0.866667,0.533333,0.8,0.5,0.7,0.766667,0.9,0.6] recall 0.719231 [0.566667,0.533333,0.933333,0.633333,0.433333,0.9,0.766667,0.833333,0.833333,0.733333,0.766667,0.833333,0.666667,0.466667,0.733333,0.6,0.8,0.833333,0.9,0.466667,0.733333,0.533333,0.6,0.866667,0.833333,0.9] recall 0.688462 [0.666667,0.3,0.933333,0.533333,0.733333,0.8,0.666667,0.8,0.9,0.7,0.633333,0.766667,0.733333,0.5,0.666667,0.533333,0.633333,0.866667,0.833333,0.566667,0.766667,0.566667,0.566667,0.766667,0.833333,0.633333] recall 0.689744 [0.533333,0.533333,0.733333,0.666667,0.366667,0.766667,0.5,0.9,0.833333,0.566667,0.833333,0.866667,0.566667,0.633333,0.8,0.3,0.7,0.966667,0.766667,0.633333,0.6,0.566667,0.8,0.9,0.9,0.7] recall 0.692308 [0.5,0.5,0.933333,0.7,0.433333,0.733333,0.5,0.8,0.7,0.733333,0.733333,0.766667,0.666667,0.533333,0.833333,0.433333,0.833333,0.866667,0.833333,0.433333,0.7,0.5,0.666667,0.966667,0.933333,0.766667] recall 0.683333 [0.633333,0.566667,0.733333,0.566667,0.6,0.733333,0.566667,0.833333,0.833333,0.5,0.666667,0.7,0.466667,0.466667,0.8,0.566667,0.7,0.966667,0.733333,0.466667,0.866667,0.433333,0.766667,0.9,0.933333,0.766667] recall 0.674359 [0.733333,0.366667,0.8,0.533333,0.366667,0.633333,0.733333,0.633333,0.833333,0.833333,0.533333,0.7,0.4,0.6,0.833333,0.466667,0.766667,0.9,0.933333,0.733333,0.866667,0.433333,0.466667,0.866667,0.9,0.666667] recall 0.697436 [0.6,0.666667,0.866667,0.533333,0.633333,0.833333,0.533333,0.833333,0.733333,0.633333,0.4,0.833333,0.6,0.533333,0.833333,0.6,0.766667,0.833333,0.866667,0.766667,0.6,0.5,0.633333,0.8,0.866667,0.833333] recall 0.673077 [0.633333,0.433333,0.833333,0.733333,0.533333,0.633333,0.5,0.766667,0.866667,0.5,0.433333,0.833333,0.7,0.633333,0.766667,0.466667,0.733333,0.933333,0.866667,0.466667,0.566667,0.466667,0.7,0.9,0.866667,0.733333] recall 0.666667 [0.833333,0.6,0.733333,0.633333,0.566667,0.766667,0.633333,0.833333,0.733333,0.566667,0.333333,0.766667,0.633333,0.733333,0.766667,0.566667,0.666667,0.833333,0.8,0.433333,0.666667,0.3,0.766667,0.733333,0.733333,0.7] recall 0.688462 [0.8,0.6,0.766667,0.6,0.566667,0.766667,0.666667,0.733333,0.866667,0.5,0.6,0.733333,0.633333,0.466667,0.833333,0.4,0.8,0.8,0.766667,0.466667,0.866667,0.566667,0.733333,0.766667,0.833333,0.766667] recall 0.678205 [0.7,0.6,0.933333,0.6,0.733333,0.866667,0.766667,0.733333,0.8,0.666667,0.566667,0.766667,0.466667,0.533333,0.866667,0.533333,0.6,0.766667,0.733333,0.533333,0.733333,0.233333,0.566667,0.7,0.9,0.733333] recall 0.702564 [0.6,0.6,0.733333,0.633333,0.566667,0.8,0.533333,0.8,0.733333,0.7,0.666667,0.766667,0.766667,0.666667,0.866667,0.466667,0.7,0.833333,0.833333,0.566667,0.833333,0.5,0.633333,0.833333,0.8,0.833333] recall 0.731707 [0.666667,0.6,0.933333,0.533333,0.7,0.8,0.533333,0.9,0.9,0.633333,0.833333,0.766667,0.758621,0.7,0.733333,0.633333,0.733333,0.8,0.933333,0.633333,0.766667,0.466667,0.566667,0.8,0.8,0.9] recall 0.690629 [0.7,0.566667,0.8,0.6,0.566667,0.666667,0.366667,0.9,0.766667,0.766667,0.433333,0.866667,0.655172,0.333333,0.8,0.5,0.866667,0.866667,0.8,0.733333,0.9,0.6,0.666667,0.833333,0.866667,0.533333] recall 0.643132 [0.566667,0.7,0.866667,0.433333,0.466667,0.655172,0.466667,0.866667,0.666667,0.566667,0.666667,0.9,0.6,0.5,0.8,0.2,0.8,0.833333,0.7,0.433333,0.866667,0.366667,0.633333,0.7,0.866667,0.6] recall 0.675225 [0.633333,0.566667,0.9,0.366667,0.6,0.866667,0.633333,0.9,0.9,0.666667,0.533333,0.733333,0.517241,0.5,0.9,0.3,0.8,0.833333,0.633333,0.566667,0.766667,0.566667,0.666667,0.733333,0.866667,0.6] recall 0.641849 [0.633333,0.433333,0.866667,0.533333,0.433333,0.724138,0.466667,0.833333,0.7,0.6,0.6,0.866667,0.4,0.366667,0.8,0.566667,0.666667,0.766667,0.8,0.5,0.633333,0.433333,0.7,0.666667,0.9,0.8] recall 0.69448 [0.733333,0.4,0.833333,0.7,0.633333,0.862069,0.333333,0.966667,0.933333,0.666667,0.666667,0.666667,0.433333,0.566667,0.933333,0.566667,0.7,0.9,0.9,0.6,0.666667,0.433333,0.833333,0.766667,0.7,0.666667] recall 0.708601 [0.6,0.6,0.9,0.566667,0.666667,0.758621,0.633333,0.966667,0.7,0.766667,0.633333,0.933333,0.533333,0.633333,0.7,0.466667,0.833333,0.833333,0.833333,0.633333,0.7,0.266667,0.8,0.766667,0.9,0.8] recall 0.685494 [0.866667,0.533333,0.733333,0.6,0.666667,0.733333,0.433333,0.866667,0.766667,0.7,0.7,0.8,0.551724,0.533333,0.833333,0.5,0.733333,0.933333,0.866667,0.533333,0.833333,0.333333,0.466667,0.633333,0.9,0.766667] recall 0.682927 [0.733333,0.533333,0.833333,0.566667,0.566667,0.7,0.633333,0.9,0.733333,0.733333,0.566667,0.9,0.586207,0.4,0.766667,0.366667,0.833333,0.866667,0.733333,0.7,0.766667,0.433333,0.666667,0.8,0.666667,0.766667] recall 0.700899 [0.766667,0.433333,0.866667,0.5,0.633333,0.655172,0.6,0.966667,0.833333,0.7,0.766667,0.8,0.666667,0.466667,0.9,0.433333,0.833333,0.966667,0.566667,0.466667,0.8,0.433333,0.666667,0.833333,0.9,0.766667] recall 0.708601 [0.7,0.533333,0.9,0.5,0.466667,0.758621,0.8,0.933333,0.666667,0.666667,0.8,0.8,0.633333,0.433333,0.866667,0.666667,0.7,0.866667,0.933333,0.433333,0.8,0.566667,0.533333,0.9,0.866667,0.7] recall 0.67009 [0.6,0.5,0.766667,0.533333,0.5,0.827586,0.666667,0.733333,0.8,0.533333,0.533333,0.566667,0.566667,0.5,0.733333,0.466667,0.9,0.933333,0.633333,0.7,0.766667,0.466667,0.7,0.833333,0.8,0.866667] recall 0.698331 [0.566667,0.633333,0.8,0.633333,0.7,0.689655,0.566667,0.8,0.8,0.866667,0.7,0.8,0.633333,0.6,0.866667,0.633333,0.733333,0.866667,0.933333,0.5,0.566667,0.433333,0.633333,0.666667,0.766667,0.766667] recall 0.658537 [0.633333,0.5,0.866667,0.666667,0.366667,0.586207,0.5,0.8,0.6,0.566667,0.566667,0.766667,0.5,0.533333,0.766667,0.333333,0.566667,0.966667,0.666667,0.7,0.866667,0.666667,0.566667,0.9,0.9,0.766667] recall 0.65982 [0.533333,0.6,0.9,0.533333,0.533333,0.62069,0.466667,0.833333,0.766667,0.5,0.533333,0.766667,0.433333,0.5,0.8,0.333333,0.8,0.733333,0.9,0.566667,0.833333,0.433333,0.733333,0.9,0.833333,0.766667] recall 0.675225 [0.766667,0.433333,0.8,0.4,0.4,0.827586,0.566667,0.9,0.833333,0.533333,0.8,0.766667,0.466667,0.3,0.8,0.5,0.8,0.9,0.866667,0.566667,0.666667,0.533333,0.666667,0.966667,0.966667,0.533333] recall 0.658537 [0.633333,0.566667,0.833333,0.5,0.633333,0.62069,0.5,0.866667,0.6,0.566667,0.566667,0.733333,0.633333,0.533333,0.9,0.5,0.766667,0.8,0.8,0.5,0.766667,0.3,0.566667,0.833333,0.933333,0.666667] recall 0.702182 [0.733333,0.533333,0.933333,0.6,0.533333,0.758621,0.566667,0.833333,0.866667,0.666667,0.633333,0.533333,0.7,0.666667,0.7,0.466667,0.766667,0.766667,0.9,0.6,0.9,0.533333,0.666667,0.833333,0.866667,0.7] recall 0.680359 [0.8,0.533333,0.8,0.4,0.266667,0.62069,0.5,0.8,0.9,0.766667,0.733333,0.833333,0.733333,0.6,0.8,0.366667,0.766667,0.733333,0.7,0.666667,0.833333,0.233333,0.633333,0.866667,0.933333,0.866667] recall 0.672657 [0.733333,0.533333,0.833333,0.366667,0.433333,0.827586,0.633333,0.766667,0.866667,0.7,0.5,0.7,0.466667,0.6,0.8,0.433333,0.666667,0.9,0.866667,0.566667,0.666667,0.4,0.766667,0.833333,0.933333,0.7] recall 0.721438 [0.6,0.666667,1,0.833333,0.566667,0.758621,0.666667,0.833333,0.9,0.733333,0.733333,0.733333,0.533333,0.5,0.8,0.566667,0.9,0.8,0.733333,0.7,0.9,0.466667,0.6,0.633333,0.933333,0.666667] recall 0.697047 [0.7,0.533333,0.866667,0.7,0.566667,0.758621,0.433333,0.9,0.833333,0.666667,0.633333,0.733333,0.366667,0.566667,0.7,0.566667,0.766667,0.966667,0.866667,0.566667,0.8,0.5,0.766667,0.8,0.933333,0.633333] recall 0.675225 [0.666667,0.333333,0.766667,0.633333,0.566667,0.6,0.733333,0.8,0.833333,0.666667,0.7,0.866667,0.62069,0.633333,0.866667,0.466667,0.733333,0.866667,0.633333,0.466667,0.633333,0.533333,0.5,0.866667,0.866667,0.7] recall 0.691913 [0.666667,0.633333,0.733333,0.633333,0.633333,0.758621,0.6,0.933333,0.933333,0.7,0.566667,0.666667,0.566667,0.3,0.866667,0.5,0.866667,0.933333,0.833333,0.433333,0.833333,0.466667,0.533333,0.833333,0.9,0.666667] recall 0.69448 [0.566667,0.533333,0.9,0.666667,0.5,0.833333,0.466667,0.833333,0.7,0.6,0.666667,0.9,0.689655,0.6,0.766667,0.366667,0.733333,0.8,0.833333,0.666667,0.866667,0.433333,0.666667,0.866667,0.866667,0.733333] recall 0.664955 [0.633333,0.366667,0.8,0.466667,0.6,0.666667,0.6,0.866667,0.866667,0.766667,0.633333,0.8,0.655172,0.333333,0.7,0.4,0.733333,0.833333,0.933333,0.466667,0.833333,0.3,0.5,0.866667,0.766667,0.9] recall 0.686778 [0.7,0.466667,0.833333,0.533333,0.566667,0.666667,0.7,0.966667,0.833333,0.533333,0.666667,0.733333,0.413793,0.5,0.833333,0.533333,0.866667,1,0.766667,0.466667,0.8,0.466667,0.6,0.866667,0.766667,0.766667] recall 0.680359 [0.666667,0.433333,0.8,0.6,0.633333,0.689655,0.566667,0.833333,0.866667,0.633333,0.533333,0.8,0.633333,0.6,0.833333,0.6,0.633333,0.9,0.733333,0.6,0.9,0.266667,0.633333,0.7,0.733333,0.866667] recall 0.648267 [0.433333,0.533333,0.933333,0.5,0.533333,0.655172,0.6,0.833333,0.733333,0.7,0.6,0.7,0.6,0.433333,0.8,0.433333,0.933333,0.833333,0.766667,0.366667,0.633333,0.266667,0.566667,0.733333,0.866667,0.866667] recall 0.680359 [0.566667,0.366667,0.866667,0.766667,0.566667,0.7,0.7,0.933333,0.633333,0.7,0.5,0.7,0.62069,0.6,0.733333,0.5,0.8,0.866667,0.8,0.533333,0.866667,0.5,0.466667,0.833333,0.766667,0.8] relative_absolute_error 0.341333 relative_absolute_error 0.332 relative_absolute_error 0.310667 relative_absolute_error 0.317333 relative_absolute_error 0.308 relative_absolute_error 0.336 relative_absolute_error 0.349333 relative_absolute_error 0.321333 relative_absolute_error 0.348 relative_absolute_error 0.322667 relative_absolute_error 0.314667 relative_absolute_error 0.328 relative_absolute_error 0.308 relative_absolute_error 0.34 relative_absolute_error 0.332 relative_absolute_error 0.341333 relative_absolute_error 0.3 relative_absolute_error 0.310667 relative_absolute_error 0.313333 relative_absolute_error 0.310667 relative_absolute_error 0.3 relative_absolute_error 0.348 relative_absolute_error 0.32 relative_absolute_error 0.330667 relative_absolute_error 0.288 relative_absolute_error 0.333333 relative_absolute_error 0.350667 relative_absolute_error 0.333333 relative_absolute_error 0.318667 relative_absolute_error 0.325333 relative_absolute_error 0.290667 relative_absolute_error 0.357333 relative_absolute_error 0.345333 relative_absolute_error 0.306667 relative_absolute_error 0.308 relative_absolute_error 0.330667 relative_absolute_error 0.32 relative_absolute_error 0.325333 relative_absolute_error 0.312 relative_absolute_error 0.308 relative_absolute_error 0.316 relative_absolute_error 0.329333 relative_absolute_error 0.345333 relative_absolute_error 0.322667 relative_absolute_error 0.332 relative_absolute_error 0.322667 relative_absolute_error 0.325333 relative_absolute_error 0.316 relative_absolute_error 0.321333 relative_absolute_error 0.322667 relative_absolute_error 0.344 relative_absolute_error 0.342667 relative_absolute_error 0.345333 relative_absolute_error 0.336 relative_absolute_error 0.272 relative_absolute_error 0.34 relative_absolute_error 0.372 relative_absolute_error 0.322667 relative_absolute_error 0.292 relative_absolute_error 0.324 relative_absolute_error 0.322667 relative_absolute_error 0.32 relative_absolute_error 0.329333 relative_absolute_error 0.338667 relative_absolute_error 0.314667 relative_absolute_error 0.34 relative_absolute_error 0.346667 relative_absolute_error 0.324 relative_absolute_error 0.334667 relative_absolute_error 0.309333 relative_absolute_error 0.279024 relative_absolute_error 0.321746 relative_absolute_error 0.371143 relative_absolute_error 0.337766 relative_absolute_error 0.372478 relative_absolute_error 0.317741 relative_absolute_error 0.303055 relative_absolute_error 0.327086 relative_absolute_error 0.329756 relative_absolute_error 0.311066 relative_absolute_error 0.303055 relative_absolute_error 0.343107 relative_absolute_error 0.313736 relative_absolute_error 0.355122 relative_absolute_error 0.353787 relative_absolute_error 0.337766 relative_absolute_error 0.355122 relative_absolute_error 0.309731 relative_absolute_error 0.332426 relative_absolute_error 0.340437 relative_absolute_error 0.289705 relative_absolute_error 0.315071 relative_absolute_error 0.337766 relative_absolute_error 0.320411 relative_absolute_error 0.317741 relative_absolute_error 0.348447 relative_absolute_error 0.325751 relative_absolute_error 0.332426 relative_absolute_error 0.365802 relative_absolute_error 0.332426 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.158892 root_mean_squared_error 0.156704 root_mean_squared_error 0.151586 root_mean_squared_error 0.153204 root_mean_squared_error 0.150934 root_mean_squared_error 0.157645 root_mean_squared_error 0.160743 root_mean_squared_error 0.154166 root_mean_squared_error 0.160436 root_mean_squared_error 0.154486 root_mean_squared_error 0.152559 root_mean_squared_error 0.155757 root_mean_squared_error 0.150934 root_mean_squared_error 0.158581 root_mean_squared_error 0.156704 root_mean_squared_error 0.158892 root_mean_squared_error 0.148961 root_mean_squared_error 0.151586 root_mean_squared_error 0.152235 root_mean_squared_error 0.151586 root_mean_squared_error 0.148961 root_mean_squared_error 0.160436 root_mean_squared_error 0.153846 root_mean_squared_error 0.156389 root_mean_squared_error 0.145951 root_mean_squared_error 0.157019 root_mean_squared_error 0.161049 root_mean_squared_error 0.157019 root_mean_squared_error 0.153525 root_mean_squared_error 0.155123 root_mean_squared_error 0.146625 root_mean_squared_error 0.162573 root_mean_squared_error 0.15982 root_mean_squared_error 0.150607 root_mean_squared_error 0.150934 root_mean_squared_error 0.156389 root_mean_squared_error 0.153846 root_mean_squared_error 0.155123 root_mean_squared_error 0.151911 root_mean_squared_error 0.150934 root_mean_squared_error 0.152882 root_mean_squared_error 0.156074 root_mean_squared_error 0.15982 root_mean_squared_error 0.154486 root_mean_squared_error 0.156704 root_mean_squared_error 0.154486 root_mean_squared_error 0.155123 root_mean_squared_error 0.152882 root_mean_squared_error 0.154166 root_mean_squared_error 0.154486 root_mean_squared_error 0.159511 root_mean_squared_error 0.159202 root_mean_squared_error 0.15982 root_mean_squared_error 0.157645 root_mean_squared_error 0.141839 root_mean_squared_error 0.158581 root_mean_squared_error 0.165876 root_mean_squared_error 0.154486 root_mean_squared_error 0.146961 root_mean_squared_error 0.154805 root_mean_squared_error 0.154486 root_mean_squared_error 0.153846 root_mean_squared_error 0.156074 root_mean_squared_error 0.15827 root_mean_squared_error 0.152559 root_mean_squared_error 0.158581 root_mean_squared_error 0.160128 root_mean_squared_error 0.154805 root_mean_squared_error 0.157332 root_mean_squared_error 0.15126 root_mean_squared_error 0.143659 root_mean_squared_error 0.154265 root_mean_squared_error 0.165685 root_mean_squared_error 0.158059 root_mean_squared_error 0.165982 root_mean_squared_error 0.153302 root_mean_squared_error 0.149717 root_mean_squared_error 0.15554 root_mean_squared_error 0.156174 root_mean_squared_error 0.151683 root_mean_squared_error 0.149717 root_mean_squared_error 0.159304 root_mean_squared_error 0.152333 root_mean_squared_error 0.162069 root_mean_squared_error 0.161764 root_mean_squared_error 0.158059 root_mean_squared_error 0.162069 root_mean_squared_error 0.151357 root_mean_squared_error 0.156805 root_mean_squared_error 0.158683 root_mean_squared_error 0.146383 root_mean_squared_error 0.152657 root_mean_squared_error 0.158059 root_mean_squared_error 0.153945 root_mean_squared_error 0.153302 root_mean_squared_error 0.160539 root_mean_squared_error 0.155222 root_mean_squared_error 0.156805 root_mean_squared_error 0.164488 root_mean_squared_error 0.156805 root_relative_squared_error 0.826236 root_relative_squared_error 0.814862 root_relative_squared_error 0.788247 root_relative_squared_error 0.79666 root_relative_squared_error 0.784857 root_relative_squared_error 0.819756 root_relative_squared_error 0.835863 root_relative_squared_error 0.801665 root_relative_squared_error 0.834266 root_relative_squared_error 0.803326 root_relative_squared_error 0.793305 root_relative_squared_error 0.809938 root_relative_squared_error 0.784857 root_relative_squared_error 0.824621 root_relative_squared_error 0.814862 root_relative_squared_error 0.826236 root_relative_squared_error 0.774597 root_relative_squared_error 0.788247 root_relative_squared_error 0.791623 root_relative_squared_error 0.788247 root_relative_squared_error 0.774597 root_relative_squared_error 0.834266 root_relative_squared_error 0.8 root_relative_squared_error 0.813224 root_relative_squared_error 0.758947 root_relative_squared_error 0.816497 root_relative_squared_error 0.837456 root_relative_squared_error 0.816497 root_relative_squared_error 0.798332 root_relative_squared_error 0.806639 root_relative_squared_error 0.762452 root_relative_squared_error 0.84538 root_relative_squared_error 0.831064 root_relative_squared_error 0.783156 root_relative_squared_error 0.784857 root_relative_squared_error 0.813224 root_relative_squared_error 0.8 root_relative_squared_error 0.806639 root_relative_squared_error 0.789937 root_relative_squared_error 0.784857 root_relative_squared_error 0.794984 root_relative_squared_error 0.811583 root_relative_squared_error 0.831064 root_relative_squared_error 0.803326 root_relative_squared_error 0.814862 root_relative_squared_error 0.803326 root_relative_squared_error 0.806639 root_relative_squared_error 0.794984 root_relative_squared_error 0.801665 root_relative_squared_error 0.803326 root_relative_squared_error 0.829458 root_relative_squared_error 0.827849 root_relative_squared_error 0.831064 root_relative_squared_error 0.819756 root_relative_squared_error 0.737564 root_relative_squared_error 0.824621 root_relative_squared_error 0.862554 root_relative_squared_error 0.803326 root_relative_squared_error 0.764199 root_relative_squared_error 0.804984 root_relative_squared_error 0.803326 root_relative_squared_error 0.8 root_relative_squared_error 0.811583 root_relative_squared_error 0.823003 root_relative_squared_error 0.793305 root_relative_squared_error 0.824621 root_relative_squared_error 0.832666 root_relative_squared_error 0.804984 root_relative_squared_error 0.818128 root_relative_squared_error 0.786554 root_relative_squared_error 0.747027 root_relative_squared_error 0.802179 root_relative_squared_error 0.86156 root_relative_squared_error 0.821908 root_relative_squared_error 0.863108 root_relative_squared_error 0.797171 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