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 [0.789333,0.811333,0.914667,0.707333,0.822,0.911333,0.810667,0.927333,0.928667,0.856667,0.726667,0.86,0.658,0.839333,0.862,0.742667,0.914,0.913333,0.881333,0.843333,0.760667,0.786667,0.846,0.914,0.949333,0.863333]
area_under_roc_curve
0.837333 [0.826667,0.723333,0.879333,0.874,0.725333,0.825333,0.744667,0.948667,0.930667,0.874667,0.875333,0.865333,0.757333,0.760667,0.913333,0.69,0.926667,0.93,0.858667,0.738,0.882667,0.753333,0.826,0.898,0.980667,0.762]
area_under_roc_curve
0.844 [0.826,0.808,0.929333,0.822667,0.720667,0.843333,0.842667,0.882,0.830667,0.827333,0.789333,0.844667,0.74,0.822667,0.897333,0.772,0.915333,0.928667,0.896667,0.761333,0.914667,0.758667,0.863333,0.93,0.915333,0.861333]
area_under_roc_curve
0.846 [0.828,0.669333,0.880667,0.774667,0.708,0.914667,0.791333,0.963333,0.979333,0.843333,0.827333,0.911333,0.796667,0.788,0.863333,0.687333,0.929333,0.946667,0.863333,0.840667,0.862667,0.723333,0.862667,0.913333,0.932,0.895333]
area_under_roc_curve
0.842 [0.826,0.714667,0.966,0.777333,0.692,0.839333,0.795333,0.948667,0.814667,0.878667,0.859333,0.928,0.725333,0.737333,0.911333,0.777333,0.894,0.948667,0.796667,0.903333,0.926667,0.66,0.845333,0.930667,0.948,0.847333]
area_under_roc_curve
0.835333 [0.737333,0.708667,0.931333,0.808,0.723333,0.908,0.705333,0.914,0.945333,0.880667,0.961333,0.896,0.744667,0.808,0.877333,0.722667,0.928667,0.898,0.843333,0.674,0.829333,0.804,0.76,0.865333,0.947333,0.896667]
area_under_roc_curve
0.827333 [0.793333,0.776,0.929333,0.788,0.786667,0.839333,0.840667,0.896,0.880667,0.774,0.826667,0.944667,0.759333,0.690667,0.879333,0.705333,0.848,0.964,0.828667,0.772,0.861333,0.677333,0.744,0.879333,0.913333,0.912667]
area_under_roc_curve
0.838667 [0.825333,0.673333,0.929333,0.774,0.742,0.914,0.805333,0.945333,0.912667,0.842667,0.78,0.946,0.744,0.825333,0.944,0.605333,0.912,0.898667,0.93,0.804667,0.863333,0.671333,0.793333,0.930667,0.916,0.876667]
area_under_roc_curve
0.834 [0.875333,0.723333,0.914667,0.721333,0.754,0.944667,0.793333,0.932,0.812667,0.844,0.754667,0.898,0.856,0.591333,0.862667,0.776,0.908,0.897333,0.914,0.759333,0.896667,0.688,0.874667,0.93,0.916667,0.845333]
area_under_roc_curve
0.838667 [0.843333,0.739333,0.930667,0.792,0.738667,0.912,0.809333,0.914,0.928,0.74,0.807333,0.847333,0.724,0.706667,0.912,0.706,0.912667,0.914667,0.912667,0.741333,0.949333,0.705333,0.863333,0.980667,0.896667,0.878]
area_under_roc_curve
0.837333 [0.824667,0.773333,0.913333,0.738,0.742667,0.879333,0.873333,0.963333,0.928667,0.794,0.778,0.828,0.793333,0.725333,0.876,0.74,0.895333,0.949333,0.976667,0.774667,0.912667,0.760667,0.762,0.794667,0.932,0.841333]
area_under_roc_curve
0.842 [0.929333,0.808667,0.897333,0.838667,0.774,0.830667,0.722667,0.966,0.912667,0.793333,0.844,0.926667,0.741333,0.760667,0.898,0.756667,0.812,0.932667,0.830667,0.773333,0.859333,0.770667,0.842667,0.926,0.930667,0.813333]
area_under_roc_curve
0.839333 [0.824,0.757333,0.945333,0.778,0.740667,0.881333,0.89,0.925333,0.847333,0.742,0.777333,0.846667,0.774667,0.754667,0.912,0.825333,0.825333,0.946667,0.962,0.744667,0.811333,0.79,0.88,0.915333,0.93,0.795333]
area_under_roc_curve
0.838667 [0.874667,0.842667,0.879333,0.843333,0.875333,0.780667,0.839333,0.846667,0.93,0.862,0.806667,0.792667,0.728,0.822667,0.925333,0.778,0.810667,0.864,0.908667,0.724667,0.893333,0.724667,0.816,0.894667,0.899333,0.842]
area_under_roc_curve
0.828 [0.687333,0.769333,0.916667,0.740667,0.726667,0.910667,0.808,0.865333,0.946,0.829333,0.905333,0.829333,0.721333,0.706,0.997333,0.691333,0.864,0.912667,0.879333,0.792667,0.810667,0.753333,0.793333,0.882,0.914,0.875333]
area_under_roc_curve
0.828667 [0.842667,0.79,0.895333,0.756667,0.756,0.928,0.703333,0.896667,0.864667,0.841333,0.675333,0.93,0.843333,0.687333,0.830667,0.725333,0.930667,0.962,0.948667,0.804667,0.881333,0.656,0.791333,0.898,0.912,0.794]
area_under_roc_curve
0.827333 [0.806,0.669333,0.948,0.658667,0.785333,0.961333,0.811333,0.845333,0.846667,0.842667,0.791333,0.764,0.86,0.774,0.962667,0.772667,0.859333,0.931333,0.893333,0.774,0.86,0.658,0.827333,0.813333,0.913333,0.881333]
area_under_roc_curve
0.832 [0.777333,0.807333,0.947333,0.824,0.742667,0.812,0.776667,0.878,0.897333,0.83,0.808667,0.795333,0.655333,0.8,0.874667,0.789333,0.928,0.879333,0.880667,0.792,0.846667,0.757333,0.808,0.948,0.897333,0.878667]
area_under_roc_curve
0.864 [0.811333,0.796667,0.998,0.775333,0.857333,0.880667,0.844,0.913333,0.863333,0.809333,0.838667,0.910667,0.728667,0.792667,0.878,0.761333,0.864667,0.963333,0.947333,0.823333,0.916,0.803333,0.878,0.898667,0.963333,0.946667]
area_under_roc_curve
0.83 [0.74,0.722667,0.914,0.675333,0.742,0.926,0.686,0.844667,0.927333,0.83,0.860667,0.912,0.723333,0.656667,0.862667,0.822,0.928,0.946667,0.946,0.837333,0.878667,0.739333,0.847333,0.915333,0.865333,0.830667]
area_under_roc_curve
0.814 [0.792,0.705333,0.946,0.806667,0.751333,0.862,0.757333,0.864667,0.844667,0.777333,0.740667,0.856667,0.793333,0.756,0.877333,0.739333,0.882667,0.914,0.862,0.788,0.847333,0.62,0.762667,0.928,0.930667,0.758]
area_under_roc_curve
0.838667 [0.941333,0.726667,0.895333,0.774667,0.755333,0.811333,0.792667,0.963333,0.962667,0.71,0.812667,0.946,0.743333,0.758667,0.848,0.772667,0.844667,0.964,0.929333,0.758,0.896667,0.735333,0.844,0.88,0.946,0.792667]
area_under_roc_curve
0.854 [0.776,0.760667,0.964,0.811333,0.708,0.946,0.878,0.913333,0.910667,0.861333,0.876667,0.911333,0.825333,0.725333,0.864667,0.788,0.891333,0.912667,0.948667,0.732,0.861333,0.756,0.794667,0.930667,0.914667,0.941333]
area_under_roc_curve
0.838 [0.825333,0.64,0.963333,0.758667,0.853333,0.896,0.826667,0.898667,0.944667,0.842,0.807333,0.882,0.860667,0.741333,0.828667,0.752667,0.814667,0.93,0.914,0.776,0.88,0.770667,0.776667,0.878,0.914667,0.812]
area_under_roc_curve
0.838667 [0.760667,0.755333,0.863333,0.824667,0.674,0.878,0.741333,0.949333,0.910667,0.777333,0.91,0.932667,0.78,0.806,0.897333,0.638667,0.846,0.979333,0.878,0.805333,0.794,0.770667,0.896667,0.948,0.946667,0.841333]
area_under_roc_curve
0.84 [0.74,0.741333,0.964667,0.840667,0.71,0.864,0.739333,0.894667,0.848,0.858,0.858667,0.879333,0.825333,0.758667,0.909333,0.705333,0.915333,0.93,0.915333,0.706667,0.844667,0.736,0.828,0.980667,0.964667,0.881333]
area_under_roc_curve
0.835333 [0.805333,0.778,0.862667,0.773333,0.790667,0.862,0.775333,0.914,0.913333,0.744,0.824,0.842667,0.725333,0.722667,0.894667,0.774,0.848,0.982,0.864,0.722,0.927333,0.706667,0.878,0.946667,0.964667,0.877333]
area_under_roc_curve
0.830667 [0.858667,0.672,0.897333,0.758,0.675333,0.811333,0.86,0.813333,0.916667,0.908667,0.762,0.843333,0.691333,0.787333,0.911333,0.720667,0.879333,0.95,0.960667,0.852667,0.924667,0.707333,0.726667,0.932,0.947333,0.829333]
area_under_roc_curve
0.842667 [0.794667,0.826,0.933333,0.760667,0.806667,0.912,0.759333,0.912,0.861333,0.81,0.692667,0.912,0.791333,0.756,0.908667,0.789333,0.878667,0.914667,0.932,0.875333,0.796,0.737333,0.809333,0.895333,0.932,0.912667]
area_under_roc_curve
0.83 [0.808667,0.703333,0.914,0.856,0.758667,0.810667,0.743333,0.877333,0.928,0.740667,0.710667,0.913333,0.842,0.807333,0.880667,0.724667,0.862667,0.964,0.930667,0.721333,0.78,0.72,0.844,0.945333,0.933333,0.859333]
area_under_roc_curve
0.826667 [0.91,0.792667,0.864,0.802667,0.778667,0.876,0.808,0.912667,0.86,0.772667,0.66,0.880667,0.81,0.858,0.879333,0.763333,0.830667,0.912667,0.894667,0.706667,0.829333,0.642667,0.879333,0.86,0.865333,0.843333]
area_under_roc_curve
0.838 [0.887333,0.791333,0.882667,0.79,0.774,0.877333,0.822,0.865333,0.926667,0.744,0.792,0.857333,0.810667,0.727333,0.91,0.692,0.896,0.898,0.880667,0.723333,0.93,0.774667,0.862,0.882,0.913333,0.878]
area_under_roc_curve
0.832667 [0.841333,0.793333,0.965333,0.791333,0.858667,0.926667,0.875333,0.860667,0.894,0.824,0.78,0.879333,0.723333,0.752667,0.928667,0.754667,0.793333,0.880667,0.862,0.758667,0.859333,0.611333,0.775333,0.846667,0.948667,0.864]
area_under_roc_curve
0.845333 [0.792667,0.788667,0.864667,0.811333,0.774667,0.894667,0.76,0.897333,0.862667,0.842667,0.824667,0.879333,0.877333,0.822,0.930667,0.724667,0.847333,0.914667,0.914,0.772667,0.91,0.741333,0.812,0.914,0.894,0.910667]
area_under_roc_curve
0.860495 [0.829328,0.791989,0.965332,0.763996,0.841322,0.891322,0.757321,0.945327,0.948665,0.810659,0.911326,0.87866,0.868644,0.841322,0.863996,0.807321,0.861326,0.899332,0.965332,0.809991,0.879328,0.722652,0.779996,0.898665,0.896662,0.943324]
area_under_roc_curve
0.83913 [0.838652,0.777325,0.896662,0.791989,0.772652,0.82599,0.677993,0.947997,0.877993,0.874655,0.709324,0.929328,0.819586,0.655318,0.897997,0.737984,0.931998,0.931331,0.897997,0.854651,0.94466,0.791989,0.827993,0.910659,0.932666,0.761326]
area_under_roc_curve
0.81443 [0.77599,0.839319,0.924655,0.706653,0.726658,0.819586,0.72332,0.927993,0.82866,0.773988,0.822652,0.947997,0.791989,0.737984,0.895995,0.590654,0.895327,0.912661,0.843324,0.703316,0.929328,0.671317,0.813329,0.84733,0.929996,0.795327]
area_under_roc_curve
0.831121 [0.804651,0.771317,0.946662,0.674655,0.793992,0.924655,0.808656,0.94733,0.946662,0.82866,0.757988,0.863996,0.748621,0.739319,0.946662,0.639319,0.895995,0.909991,0.813996,0.774655,0.880663,0.771317,0.827993,0.865332,0.929328,0.793992]
area_under_roc_curve
0.813759 [0.811994,0.706653,0.92599,0.755986,0.709324,0.856736,0.723988,0.912661,0.845327,0.789987,0.789319,0.92599,0.689987,0.671985,0.89733,0.77065,0.830663,0.879996,0.896662,0.742657,0.813329,0.702648,0.840654,0.826658,0.946662,0.895327]
area_under_roc_curve
0.84113 [0.859324,0.691989,0.910659,0.839319,0.806653,0.924368,0.659324,0.981998,0.962661,0.823988,0.82866,0.829328,0.707988,0.769982,0.963329,0.774655,0.843324,0.945995,0.949332,0.790654,0.827993,0.707988,0.913329,0.881998,0.847997,0.829328]
area_under_roc_curve
0.848467 [0.793992,0.792657,0.945995,0.773988,0.825323,0.87731,0.809324,0.979328,0.84733,0.877993,0.809991,0.961994,0.757988,0.810659,0.84733,0.725323,0.913996,0.909991,0.911326,0.806653,0.845995,0.621985,0.892657,0.881998,0.945995,0.893992]
area_under_roc_curve
0.836462 [0.926658,0.759324,0.864664,0.787984,0.82599,0.859324,0.705986,0.92866,0.877993,0.842657,0.845995,0.895327,0.765862,0.760659,0.912661,0.739987,0.863329,0.964664,0.929996,0.757321,0.912661,0.653316,0.727325,0.813329,0.945327,0.87866]
area_under_roc_curve
0.835124 [0.861994,0.752648,0.913996,0.77599,0.77332,0.845327,0.813329,0.945327,0.859991,0.859324,0.776658,0.94466,0.785103,0.693324,0.879996,0.673988,0.915332,0.92866,0.860659,0.840654,0.879996,0.703983,0.825323,0.892657,0.829996,0.879328]
area_under_roc_curve
0.844471 [0.880663,0.708656,0.929328,0.737984,0.806653,0.81892,0.79466,0.980663,0.913329,0.843324,0.87866,0.89733,0.82065,0.727993,0.946662,0.705986,0.913329,0.979328,0.780663,0.71798,0.89733,0.707321,0.826658,0.913996,0.947997,0.879328]
area_under_roc_curve
0.848471 [0.842657,0.757321,0.94733,0.737316,0.727993,0.874644,0.89466,0.963996,0.830663,0.826658,0.893324,0.899332,0.804651,0.706653,0.929328,0.826658,0.841322,0.929328,0.966667,0.709991,0.896662,0.768647,0.761326,0.945327,0.933333,0.845327]
area_under_roc_curve
0.828448 [0.791322,0.735981,0.881331,0.753316,0.745327,0.90646,0.82332,0.862661,0.89466,0.760659,0.755986,0.781331,0.776658,0.735314,0.857321,0.72599,0.945995,0.964664,0.809991,0.842657,0.879996,0.723988,0.843992,0.915332,0.898665,0.929328]
area_under_roc_curve
0.843133 [0.77599,0.808656,0.897997,0.806653,0.839319,0.838161,0.774655,0.897997,0.896662,0.92866,0.848665,0.897997,0.805986,0.786649,0.929328,0.809991,0.860659,0.929996,0.963996,0.739319,0.776658,0.708656,0.809324,0.829996,0.880663,0.87866]
area_under_roc_curve
0.822441 [0.807988,0.741989,0.930663,0.822652,0.674655,0.785103,0.743324,0.896662,0.793324,0.777993,0.77065,0.87599,0.739987,0.755986,0.877325,0.651313,0.780663,0.981331,0.830663,0.838652,0.931998,0.827993,0.773988,0.943992,0.94733,0.879996]
area_under_roc_curve
0.823105 [0.757321,0.787984,0.948665,0.753983,0.757988,0.804345,0.727325,0.913329,0.879328,0.735981,0.761326,0.87866,0.711994,0.741989,0.89466,0.653316,0.895327,0.861994,0.946662,0.769982,0.913996,0.707321,0.861326,0.94466,0.910659,0.879996]
area_under_roc_curve
0.831113 [0.877325,0.704651,0.891989,0.688652,0.688652,0.91046,0.769982,0.947997,0.911994,0.759324,0.891322,0.876658,0.729328,0.638652,0.896662,0.736649,0.893992,0.948665,0.931331,0.777325,0.829996,0.761326,0.825323,0.982666,0.979996,0.760659]
area_under_roc_curve
0.822435 [0.807321,0.777993,0.913329,0.741989,0.802648,0.806345,0.741322,0.930663,0.797997,0.771985,0.771985,0.861326,0.807321,0.755986,0.94733,0.739319,0.877993,0.891322,0.895995,0.740654,0.881331,0.641322,0.779996,0.913996,0.959991,0.825323]
area_under_roc_curve
0.845133 [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
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area_under_roc_curve
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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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
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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
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kb_relative_information_score
527.000689
kb_relative_information_score
501.699612
kb_relative_information_score
527.001713
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0.025247
mean_absolute_error
0.024556
mean_absolute_error
0.022978
mean_absolute_error
0.023471
mean_absolute_error
0.022781
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0.024852
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0.025838
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0.02574
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0.023866
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0.02426
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0.022781
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0.025148
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0.024556
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0.025247
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0.022189
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0.022978
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0.023176
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mean_absolute_error
0.022189
mean_absolute_error
0.02574
mean_absolute_error
0.023669
mean_absolute_error
0.024458
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0.021302
mean_absolute_error
0.024655
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0.025937
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0.024655
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0.02357
mean_absolute_error
0.024063
mean_absolute_error
0.021499
mean_absolute_error
0.02643
mean_absolute_error
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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
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mean_absolute_error
0.025148
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0.027515
mean_absolute_error
0.023866
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0.021598
mean_absolute_error
0.023964
mean_absolute_error
0.023866
mean_absolute_error
0.023669
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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
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mean_prior_absolute_error
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mean_prior_absolute_error
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0.073964
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0.073964
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0.073964
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0.073964
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.073964
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0.073964
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.073964
mean_prior_absolute_error
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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
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mean_prior_absolute_error
0.073964
mean_prior_absolute_error
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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
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mean_prior_absolute_error
0.073964
mean_prior_absolute_error
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mean_prior_absolute_error
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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
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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
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precision
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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
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precision
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precision
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precision
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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
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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
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