8864578 710 William Raynaut 9956 Supervised Classification 7787 weka.kf.AttributeSelection-Ranker-ReliefF-SMO(1) 6833246 mDataExp Modelage study_107 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 18645005 description https://api.openml.org/data/download/18645005/description7511461451648405854.xml -1 18645006 predictions https://api.openml.org/data/download/18645006/predictions4793199787078280283.arff area_under_roc_curve 0.924979 [0.956503,0.963894,0.671194,0.950095,0.747986,0.914521,0.928676,0.843711,0.784942,0.972323,0.942198,0.866788,0.994986,0.926682,0.837512,0.99921,0.908343,0.885186,0.993051,0.960755,0.996526,0.649301,0.824147,0.975126,0.771913,0.983615,0.905697,0.767905,0.985332,0.998421,0.932841,0.997967,0.8018,0.997986,0.927274,0.916101,0.980891,0.983358,0.894899,0.88949,0.905105,0.907257,0.888325,0.914581,0.808433,0.925004,0.921608,0.950272,0.951694,0.938645,0.902045,0.982667,0.991156,0.988076,0.959886,0.889747,0.992597,0.824897,0.994157,0.907119,0.99927,0.871466,0.955247,0.963065,0.993703,0.892352,0.984602,0.976646,0.994038,0.917917,0.981226,0.955938,0.995933,0.952503,0.991926,0.973271,0.9665,0.939731,0.896755,0.980279,0.963203,0.936631,0.848508,0.980259,0.882817,0.985885,0.946226,0.943659,0.920088,0.893537,0.947706,0.808137,0.993249,0.898808,0.91843,0.934124,0.945377,0.889174,0.976015,0.933236] average_cost 0 f_measure 0.308896 [0.125,0.046512,0,0.111111,0.093023,0.242424,0.375,0.030303,0,0.258065,0.62069,0,0.742857,0.1,0.074074,0.903226,0.230769,0.181818,0.666667,0.689655,0.711111,0,0.032787,0.375,0,0.4,0.26087,0,0.611111,0.842105,0.214286,0.75,0.095238,0.8,0.222222,0.384615,0.777778,0.642857,0.388889,0.090909,0.095238,0.086022,0.173913,0.052632,0,0.105263,0.1875,0.230769,0.25641,0.285714,0.074074,0.5,0.5625,0.62069,0.410256,0.060606,0.742857,0,0.666667,0.105263,0.909091,0.057143,0.45,0.166667,0.689655,0.043478,0.352941,0.5,0.666667,0.173913,0.181818,0.173913,0.65,0.1875,0.5625,0.6,0.518519,0.171429,0.076923,0.444444,0.378378,0.32,0.095238,0.378378,0.16,0.5625,0.48,0.296296,0.090909,0.055556,0,0,0.83871,0.105263,0.137931,0.16,0.25,0.205128,0.384615,0.095238] kappa 0.309539 kb_relative_information_score 214.468172 mean_absolute_error 0.019627 mean_prior_absolute_error 0.0198 number_of_instances 1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] precision 0.340954 [1,0.037037,0,0.5,0.074074,0.235294,0.375,0.02,0,0.266667,0.692308,0,0.684211,0.25,0.090909,0.933333,0.3,0.333333,0.714286,0.769231,0.551724,0,0.022222,0.375,0,0.333333,0.428571,0,0.55,0.727273,0.25,0.625,0.2,0.736842,0.2,0.5,0.7,0.75,0.35,0.166667,0.2,0.051948,0.285714,0.045455,0,0.090909,0.1875,0.3,0.217391,0.263158,0.090909,0.45,0.5625,0.692308,0.347826,0.036145,0.684211,0,0.647059,0.333333,0.882353,0.052632,0.375,0.25,0.769231,0.033333,0.333333,0.45,0.6,0.285714,0.333333,0.285714,0.541667,0.1875,0.5625,0.642857,0.636364,0.157895,0.1,0.4,0.333333,0.444444,0.2,0.333333,0.222222,0.5625,0.666667,0.363636,0.166667,0.035714,0,0,0.866667,0.333333,0.153846,0.222222,0.25,0.173913,0.5,0.2] predictive_accuracy 0.316448 prior_entropy 6.643831 recall 0.316448 [0.066667,0.0625,0,0.0625,0.125,0.25,0.375,0.0625,0,0.25,0.5625,0,0.8125,0.0625,0.0625,0.875,0.1875,0.125,0.625,0.625,1,0,0.0625,0.375,0,0.5,0.1875,0,0.6875,1,0.1875,0.9375,0.0625,0.875,0.25,0.3125,0.875,0.5625,0.4375,0.0625,0.0625,0.25,0.125,0.0625,0,0.125,0.1875,0.1875,0.3125,0.3125,0.0625,0.5625,0.5625,0.5625,0.5,0.1875,0.8125,0,0.6875,0.0625,0.9375,0.0625,0.5625,0.125,0.625,0.0625,0.375,0.5625,0.75,0.125,0.125,0.125,0.8125,0.1875,0.5625,0.5625,0.4375,0.1875,0.0625,0.5,0.4375,0.25,0.0625,0.4375,0.125,0.5625,0.375,0.25,0.0625,0.125,0,0,0.8125,0.0625,0.125,0.125,0.25,0.25,0.3125,0.0625] relative_absolute_error 0.99126 root_mean_prior_squared_error 0.099499 root_mean_squared_error 0.098793 root_relative_squared_error 0.992903 total_cost 0 area_under_roc_curve 0.937193 [0.998418,0.990566,0.455975,0.998418,0.96519,0.971519,0.689873,0.845912,0.890823,0.993671,1,0.936709,0.996835,0.97943,0.613924,1,0.955696,0.968553,1,1,1,0.637658,0.912975,0.946203,0.992089,0.990566,1,0.602848,0.998418,0.996855,1,1,0.877358,1,0.962264,0.93038,0.996855,1,0.966772,0.85443,0.886076,0.924528,0.839623,0.950949,0.984277,0.981132,0.775316,1,0.984177,0.973101,0.977987,0.996835,1,0.985759,0.902516,0.949367,1,0.820755,1,0.996855,1,0.990506,0.996855,0.965409,0.996835,0.949367,0.993671,1,0.990566,0.955696,0.981013,0.995253,0.993711,0.924528,1,1,0.988924,0.952532,0.996855,0.993711,0.924528,1,0.799051,0.976266,1,1,0.952532,0.900316,0.786392,0.946203,0.914557,0.886076,1,0.93038,0.911392,0.718354,0.990566,0.993711,0.990506,0.968553] area_under_roc_curve 0.931586 [0.996835,0.902516,0.528302,0.925633,0.702532,0.689873,0.990506,0.836478,0.837025,0.963608,1,0.911392,1,0.901899,0.78481,1,0.833861,0.993711,0.993671,0.821203,1,0.481013,0.943038,0.968354,0.718354,0.96519,0.852201,0.889241,0.995253,1,0.982595,0.996835,0.996855,0.993711,0.852201,0.908228,0.996855,0.993711,0.996835,0.955696,0.825949,0.921384,0.918239,0.908228,0.990566,0.987421,0.882911,0.946541,0.982595,0.962025,0.937107,0.993671,0.993711,0.992089,0.996855,0.952532,1,0.933962,1,0.937107,1,0.85443,0.990566,1,1,0.969937,1,0.962264,1,0.783228,0.998418,0.927215,1,0.968553,0.988924,0.954114,0.996835,0.954114,0.959119,0.996855,0.990566,0.962025,0.955975,0.993671,0.981132,1,0.906646,0.984177,0.920886,0.925633,0.976266,0.878165,1,0.899371,0.984177,0.939873,0.852201,1,0.976266,0.930818] area_under_roc_curve 0.950476 [0.993671,0.946541,0.841772,0.988924,0.927215,0.990566,1,0.95283,1,0.998418,0.996835,0.918239,0.982595,0.984177,0.996835,1,0.993671,0.954114,1,1,0.996835,0.780063,0.950949,0.990566,0.959119,0.996835,0.990566,0.789557,0.96519,1,0.900316,1,0.78481,1,0.863924,1,0.993711,1,0.993711,1,0.933544,0.971698,0.987421,0.943038,0.664557,0.987342,0.958861,0.878165,0.851266,0.943396,0.845912,0.996835,0.984177,0.993671,0.990566,0.974684,0.996855,0.946541,1,0.996855,1,0.918239,0.899371,0.930818,0.993671,0.920886,0.969937,1,0.974843,0.868671,0.987342,0.987342,0.993671,0.95283,1,1,1,0.984277,0.957278,0.917722,1,0.903481,0.72327,0.992089,0.839623,0.962025,0.867089,0.984277,0.974684,0.981132,0.993711,0.816456,1,0.940252,0.949367,0.959119,0.981132,0.884494,1,1] area_under_roc_curve 0.951421 [0.963608,0.930818,0.776899,0.974684,0.987342,0.974843,0.947785,0.943038,0.918239,1,0.993671,0.896226,0.993671,0.974684,0.825949,1,0.974684,0.993671,0.985759,0.996855,1,0.78481,0.911392,0.962264,0.783019,0.990506,1,0.925633,1,0.996835,0.973101,1,0.955696,1,0.987342,0.880503,1,0.996835,0.374214,0.886792,0.966772,0.968553,0.77673,0.952532,0.941456,0.905063,0.963608,0.981013,0.968553,0.990566,0.993711,0.988924,0.974684,0.935127,0.949367,0.981013,0.996855,0.921384,0.996855,0.971698,1,0.959119,0.943396,0.977987,0.981013,0.95283,0.993671,0.996855,0.996855,0.985759,0.982595,0.917722,0.995253,0.977987,0.987342,0.935127,0.901899,0.86478,0.84019,0.993671,0.990566,0.974684,1,0.996835,0.996855,0.992089,0.990506,0.987421,0.971519,0.943396,0.924528,0.792722,0.947785,0.918239,0.996855,0.95283,0.897152,0.935127,0.920886,0.996855] area_under_roc_curve 0.943264 [0.985759,0.993671,0.810127,0.990566,0.660377,0.996855,0.981132,0.958861,0.286164,0.990566,0.993671,0.996855,0.955975,0.879747,0.619497,0.996855,0.748418,0.704114,0.990506,1,0.996835,0.361635,0.824367,0.990566,0.839623,0.988924,0.977848,0.735849,0.957278,1,1,1,0.900316,0.996835,0.988924,1,1,1,0.993711,0.974843,0.96519,0.962025,0.890823,0.963608,0.852848,0.871835,0.968354,0.933544,0.990566,0.921384,0.995253,0.993671,1,0.990566,0.995253,0.974684,1,0.946203,0.993671,0.943038,1,0.968553,0.996835,0.966772,0.996855,0.971698,0.974684,0.996835,1,0.936709,0.987421,0.996855,0.996835,0.928797,0.987342,1,0.993711,0.977987,0.992089,0.990506,0.928797,0.973101,0.811321,0.996855,0.933544,0.987342,0.981013,0.987421,0.875,0.889937,0.990566,0.882911,1,0.996855,0.965409,0.987421,0.992089,0.920886,0.955696,0.920886] area_under_roc_curve 0.933947 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[0.748428,0.981013,0.639241,0.742138,0.981132,0.990506,0.921384,0.803797,0.857595,0.899371,0.835443,0.879747,1,0.949686,0.996855,1,0.940252,0.898734,1,0.941456,0.993711,0.959119,0.842767,0.998418,0.454114,0.984277,0.746835,0.940252,0.943396,1,0.902516,1,0.599684,1,0.990506,0.879747,1,0.908228,0.735759,0.939873,0.990566,0.949367,0.824367,0.893082,0.998418,0.971519,0.981132,0.898734,0.993671,0.966772,0.943038,1,0.988924,1,0.984177,0.871069,0.996835,0.806962,0.996835,0.949367,1,0.813291,0.988924,0.931962,0.990566,0.911392,0.993711,0.919304,1,0.990566,0.984277,1,1,0.939873,0.993711,0.849057,0.940252,0.958861,0.754747,0.993671,0.996835,0.955975,0.97943,0.946541,0.93038,0.974843,0.836478,0.920886,0.899371,0.860759,0.969937,0.937107,1,0.876582,0.981013,0.927215,0.952532,0.988924,0.996855,0.916139] area_under_roc_curve 0.944705 [0.927673,0.977848,0.946541,0.952532,0.789557,0.920886,0.992089,0.897152,0.754747,1,0.996855,0.81962,1,0.996855,0.957278,1,0.993711,0.990566,1,0.995253,0.990566,0.609177,0.852201,0.987342,0.898734,0.993711,0.988924,0.882911,0.993711,1,0.97943,0.984177,0.874214,0.993711,0.955975,0.928797,0.93038,0.987421,0.990506,0.974684,0.987421,0.952532,0.974684,0.798742,0.606918,0.974843,0.993711,0.996855,0.848101,0.893987,0.93038,0.984277,0.987421,1,0.954114,0.924528,0.943038,0.830696,1,0.976266,1,0.911392,0.827532,0.995253,0.981013,0.908228,0.971698,0.996835,0.987342,0.902516,0.995253,0.898734,0.990566,0.977848,0.993711,1,0.949367,0.966772,0.90566,0.993711,0.947785,1,0.968354,0.995253,0.976266,0.968553,1,0.958861,0.987421,0.946203,0.971519,0.918239,1,0.963608,0.941456,0.974684,0.922468,0.974843,0.993711,0.924051] area_under_roc_curve 0.944939 [0.990506,0.990446,0.996835,0.921975,0.38535,0.893312,0.996815,0.927215,0.91242,0.949045,0.996835,0.856688,0.996815,1,0.968153,1,0.968354,0.981013,1,0.958599,1,0.675159,0.971519,0.993631,0.66242,0.993671,0.942675,0.856688,0.993671,0.993671,0.982484,1,0.920886,1,0.990506,0.904459,1,0.990506,0.979299,0.937898,0.721519,0.968153,0.993631,0.870253,0.541139,0.96519,0.89557,0.996835,0.990446,0.882166,0.907643,0.995223,1,1,0.962025,0.933544,0.998408,0.847134,0.996815,0.993631,0.996835,0.83758,0.97293,1,1,0.976115,0.987342,0.984076,0.993631,0.981013,0.980892,0.976115,0.996835,0.990446,0.996835,1,1,0.995223,0.974684,0.981013,0.993631,0.756369,0.957006,0.961783,0.97293,0.996835,1,0.910828,0.987342,0.904459,0.937898,0.996835,1,0.968153,0.984076,0.995223,0.996835,0.987342,1,0.995223] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.319766 [0,0.285714,0,0.666667,0,0,0,0,0,0,0.666667,0,0.8,0.5,0,1,0,0,1,0.666667,1,0,0,0,0,0.333333,0.666667,0,0.666667,0.666667,0.8,0.8,0,1,0,0,0.666667,1,0.5,0,0.666667,0.076923,0,0,0,0,0,0,0.333333,0.666667,0,0.8,1,0,0,0,1,0,1,0.666667,1,0,0.666667,0,0.666667,0,0,1,0.4,0,0,0,0.5,0,1,0.8,0.666667,0,0.666667,0.5,0,0.666667,0,0.5,1,1,0.666667,0,0,0,0,0,1,0,0,0,0.4,0,0.666667,0] f_measure 0.270959 [0,0,0,0,0,0,0.666667,0,0,0,1,0,1,0,0,1,0.666667,1,0.5,0.666667,1,0,0,0,0,0,0,0,0.666667,1,0,0.8,1,0.5,0,0.666667,0.666667,0.5,0.8,0,0,0.064516,0,0,0,0.333333,0,0,0,0.5,0,0.5,0.5,0.5,0.4,0,0.666667,0,1,0,1,0,0.4,1,1,0,0,0,1,0.666667,0.5,0,1,0.222222,0.5,0,0,0,0,0.5,0.4,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] f_measure 0.296265 [0,0,0,0,0,0.4,0.666667,0,0,0,0,0,0.666667,0,0,1,0,0,1,1,0.8,0,0,0,0,0.5,0,0,0.666667,1,0,1,0,0.666667,0,1,0.5,1,0.333333,0.666667,0,0.166667,0,0,0,0,0,0,0.666667,0,0,0.8,0.5,0.666667,0.4,0,0.666667,0,0.666667,0,1,0,0,0,0.666667,0,0.4,1,0,0,0,0,0.666667,0,1,0.666667,1,0.285714,0,0,1,0.5,0,0.666667,0,0,0,0,0,0.25,0,0,1,0,0,0,0.4,0,0.666667,0] f_measure 0.29875 [0,0,0,0,0,0,0.666667,0,0,0.666667,0.5,0,0.5,0,0,1,0,0.666667,0.5,0.666667,0.8,0,0,0,0,0,1,0,1,0.8,0,1,0,1,0,0,1,0,0,0,0,0.166667,0,0,0,0,0,0,0,0.4,0.5,0.5,0.5,0.5,0.4,0,0.666667,0,0.5,0,1,0,0,0,0.666667,0,0.666667,0.5,0.666667,0,0.666667,0.666667,0.666667,0,0,0.4,0,0,0,0.666667,0.4,0.5,0.666667,0.8,0.5,0.8,0.5,0.666667,0,0,0,0,0.666667,0,0.5,0,0,0,0,0.666667] f_measure 0.271767 [0,0,0,0,0,0.5,0,0,0,0.5,1,0,0,0,0,0.666667,0,0,0,1,0.8,0,0,0.285714,0,0.4,0,0,0.333333,1,1,0.5,0,0.8,0,1,1,1,0.5,0,0,0,0.666667,0,0,0,0,0,0.4,0,0,0,1,0,0.5,0,1,0,0.666667,0,1,0.181818,0.666667,0,0.666667,0.181818,0,0.8,1,0,0,0,0.5,0,0,1,0.5,0,0,0.5,0,0,0,0.666667,0,0.666667,0.666667,0.333333,0,0,0,0,1,0.666667,0,0,0,0,0,0] f_measure 0.297386 [1,0,0,0,0,0.4,0.666667,0,0,0,0.666667,0,0.5,0,0,1,0,0,0.5,1,0.571429,0,0,0.5,0,0.5,0,0,1,0.8,0,0.666667,0,0.666667,0.666667,0,1,1,0.5,0,0,0,0,0,0,0,0,0.666667,0.25,0.4,0,0,0.666667,1,0.666667,0,1,0,0.666667,0,1,0,0.666667,0,1,0,0,0.5,0.666667,0,0,0,1,0.5,0.5,0.666667,0,1,0,0.5,0,0,0,0.4,0,0.333333,0.666667,0.5,0,0.055556,0,0,0.666667,0,0,0,0,0,0,0] f_measure 0.317768 [0,0,0,0,0.285714,0.666667,0.333333,0,0,0,0.666667,0,0.666667,0,0,1,0.5,0,1,0.666667,0.8,0,0,0.666667,0,0.8,0.666667,0,0.5,0.8,0,0.8,0,1,0.5,0.5,0.4,0.666667,0,0,0,0,0,0.666667,0,0,1,0.666667,0.5,0.5,0,0.666667,0.666667,0,1,0.133333,1,0,0,0,0.5,0,0.666667,0,0,0,1,1,0.8,0,0,0,0.666667,0,1,0,0.666667,0.285714,0,0,0.666667,0,0,0.285714,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0.5,0.666667,0,0] f_measure 0.234785 [0,0,0,0,0.166667,0,0,0,0,0,0,0,1,0,0.333333,0,0,0,0,0.666667,0.5,0,0,0.8,0,0.4,0,0,0,1,0,1,0,1,0.5,0,1,0,0,0,0,0,0,0,0,0,0.285714,0,0,0,0,1,0.5,1,0.4,0.046512,0.8,0,0.5,0,1,0,0.666667,0,0,0,0.5,0.2,1,0.666667,0,0.666667,0.666667,0.666667,0,0,0,0,0,0,0.8,0,0,0,0,0,0,0.666667,0,0,0,0,0.666667,0,0.5,0,0,0.666667,0.666667,0] f_measure 0.204594 [0,0,0,0,0,0,0.666667,0,0,1,0.666667,0,1,0,0,0.666667,0.4,0,1,0.5,0.4,0,0,0,0,0.5,0,0,0.5,1,0,0.333333,0,0.5,0,0.5,0.666667,0,0,0,0,0,0,0,0,0.181818,0.5,0,0,0,0,0,0,0.666667,0,0.071429,0,0,1,0,1,0,0.4,0.666667,0.666667,0,0,0,0.4,0,0,0,0.4,0,0.5,1,0,0,0,0.5,0,1,0,0,0,0,1,0,0,0,0,0,0.666667,0,0,0.5,0,0.181818,0.5,0] f_measure 0.244016 [0,0,0,0,0,0,0,0.095238,0,0,0.666667,0,0.8,0,0,1,0,0,1,0.5,0.666667,0,0.117647,0.5,0,0,0,0,0.5,0.5,0,1,0,1,0.4,0,1,0,0.666667,0,0,0,0.666667,0,0,0,0,0.666667,0,0,0,0.5,0,1,0,0,0.666667,0,0.666667,0,0.666667,0,0.333333,0,0.666667,0,0.285714,0,0.5,0,0,0,0.666667,0,0.666667,0.666667,1,0,0,0.5,0.4,0,0,0,0,0.666667,1,0,0,0,0,0,1,0,0,0.5,0.5,0.166667,1,0] kappa 0.350874 kappa 0.300622 kappa 0.331626 kappa 0.337905 kappa 0.319229 kappa 0.319363 kappa 0.350542 kappa 0.262615 kappa 0.244154 kappa 0.289782 kb_relative_information_score 21.279114 kb_relative_information_score 21.076652 kb_relative_information_score 21.805185 kb_relative_information_score 21.776681 kb_relative_information_score 21.625994 kb_relative_information_score 21.257093 kb_relative_information_score 21.723614 kb_relative_information_score 20.593554 kb_relative_information_score 21.647017 kb_relative_information_score 21.683267 mean_absolute_error 0.019629 mean_absolute_error 0.019631 mean_absolute_error 0.019624 mean_absolute_error 0.019624 mean_absolute_error 0.019625 mean_absolute_error 0.019629 mean_absolute_error 0.019624 mean_absolute_error 0.019635 mean_absolute_error 0.019626 mean_absolute_error 0.019623 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1] number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1] number_of_instances 160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1] number_of_instances 160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1] number_of_instances 160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2] number_of_instances 160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2] number_of_instances 159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2] precision 0.339 [0,0.166667,0,1,0,0,0,0,0,0,0.5,0,0.666667,0.5,0,1,0,0,1,1,1,0,0,0,0,0.2,0.5,0,1,0.5,0.666667,0.666667,0,1,0,0,0.5,1,0.5,0,1,0.04,0,0,0,0,0,0,0.25,1,0,0.666667,1,0,0,0,1,0,1,0.5,1,0,0.5,0,1,0,0,1,0.25,0,0,0,0.333333,0,1,0.666667,1,0,0.5,0.333333,0,1,0,0.5,1,1,1,0,0,0,0,0,1,0,0,0,0.25,0,1,0] precision 0.281927 [0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,1,1,1,0.5,1,1,0,0,0,0,0,0,0,1,1,0,0.666667,1,0.333333,0,1,0.5,0.333333,0.666667,0,0,0.033333,0,0,0,0.2,0,0,0,0.5,0,0.5,0.333333,0.5,0.25,0,0.5,0,1,0,1,0,0.25,1,1,0,0,0,1,1,0.5,0,1,0.125,0.5,0,0,0,0,0.333333,0.25,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] precision 0.309482 [0,0,0,0,0,0.25,1,0,0,0,0,0,1,0,0,1,0,0,1,1,0.666667,0,0,0,0,0.5,0,0,1,1,0,1,0,1,0,1,0.333333,1,0.2,0.5,0,0.090909,0,0,0,0,0,0,1,0,0,0.666667,0.5,0.5,0.25,0,0.5,0,0.5,0,1,0,0,0,0.5,0,0.333333,1,0,0,0,0,0.5,0,1,1,1,0.166667,0,0,1,0.5,0,1,0,0,0,0,0,0.142857,0,0,1,0,0,0,0.25,0,1,0] precision 0.305777 [0,0,0,0,0,0,1,0,0,1,0.5,0,0.5,0,0,1,0,1,0.5,0.5,0.666667,0,0,0,0,0,1,0,1,0.666667,0,1,0,1,0,0,1,0,0,0,0,0.090909,0,0,0,0,0,0,0,0.25,0.333333,0.5,0.5,0.5,0.333333,0,0.5,0,0.333333,0,1,0,0,0,1,0,0.5,0.333333,0.5,0,1,1,1,0,0,0.333333,0,0,0,0.5,0.25,0.5,0.5,0.666667,0.333333,0.666667,0.5,0.5,0,0,0,0,1,0,0.333333,0,0,0,0,0.5] precision 0.266563 [0,0,0,0,0,0.333333,0,0,0,0.333333,1,0,0,0,0,0.5,0,0,0,1,0.666667,0,0,0.166667,0,0.333333,0,0,0.25,1,1,0.333333,0,0.666667,0,1,1,1,0.333333,0,0,0,1,0,0,0,0,0,0.25,0,0,0,1,0,0.5,0,1,0,1,0,1,0.1,0.5,0,0.5,0.1,0,0.666667,1,0,0,0,0.5,0,0,1,0.333333,0,0,0.5,0,0,0,0.5,0,1,1,0.2,0,0,0,0,1,0.5,0,0,0,0,0,0] precision 0.327426 [1,0,0,0,0,0.25,0.5,0,0,0,1,0,0.333333,0,0,1,0,0,0.5,1,0.4,0,0,0.333333,0,0.5,0,0,1,0.666667,0,0.5,0,1,1,0,1,1,0.333333,0,0,0,0,0,0,0,0,1,0.142857,0.25,0,0,1,1,1,0,1,0,1,0,1,0,1,0,1,0,0,0.5,1,0,0,0,1,0.5,0.5,0.5,0,1,0,0.5,0,0,0,0.25,0,0.25,1,0.333333,0,0.028571,0,0,1,0,0,0,0,0,0,0] precision 0.338571 [0,0,0,0,0.166667,1,0.2,0,0,0,1,0,0.5,0,0,1,0.333333,0,1,1,0.666667,0,0,1,0,0.666667,1,0,0.333333,0.666667,0,0.666667,0,1,0.5,0.5,0.333333,1,0,0,0,0,0,0.5,0,0,1,1,0.333333,0.5,0,0.5,1,0,1,0.071429,1,0,0,0,0.5,0,1,0,0,0,1,1,0.666667,0,0,0,0.5,0,1,0,0.5,0.2,0,0,1,0,0,0.166667,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.5,1,0,0] precision 0.248842 [0,0,0,0,0.090909,0,0,0,0,0,0,0,1,0,0.2,0,0,0,0,1,0.333333,0,0,0.666667,0,0.25,0,0,0,1,0,1,0,1,0.5,0,1,0,0,0,0,0,0,0,0,0,0.166667,0,0,0,0,1,0.5,1,0.333333,0.02381,0.666667,0,0.5,0,1,0,1,0,0,0,0.333333,0.125,1,0.5,0,0.5,1,1,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,1,0,0,0,0,1,0,0.5,0,0,1,0.5,0] precision 0.213461 [0,0,0,0,0,0,1,0,0,1,0.5,0,1,0,0,1,0.25,0,1,0.5,0.25,0,0,0,0,0.333333,0,0,0.333333,1,0,0.25,0,0.333333,0,0.5,1,0,0,0,0,0,0,0,0,0.1,0.333333,0,0,0,0,0,0,1,0,0.037037,0,0,1,0,1,0,0.333333,1,1,0,0,0,0.333333,0,0,0,0.25,0,0.333333,1,0,0,0,0.333333,0,1,0,0,0,0,1,0,0,0,0,0,0.5,0,0,0.5,0,0.1,0.333333,0] precision 0.24499 [0,0,0,0,0,0,0,0.05,0,0,0.5,0,0.666667,0,0,1,0,0,1,0.5,0.5,0,0.0625,0.5,0,0,0,0,0.333333,0.333333,0,1,0,1,0.25,0,1,0,1,0,0,0,1,0,0,0,0,0.5,0,0,0,0.5,0,1,0,0,1,0,0.5,0,0.5,0,0.25,0,1,0,0.166667,0,0.5,0,0,0,0.5,0,0.5,1,1,0,0,0.333333,0.333333,0,0,0,0,0.5,1,0,0,0,0,0,1,0,0,0.5,0.333333,0.090909,1,0] predictive_accuracy 0.35625 predictive_accuracy 0.30625 predictive_accuracy 0.3375 predictive_accuracy 0.34375 predictive_accuracy 0.325 predictive_accuracy 0.325 predictive_accuracy 0.35625 predictive_accuracy 0.26875 predictive_accuracy 0.25 predictive_accuracy 0.295597 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 prior_entropy 6.643831 recall 0.35625 [0,1,0,0.5,0,0,0,0,0,0,1,0,1,0.5,0,1,0,0,1,0.5,1,0,0,0,0,1,1,0,0.5,1,1,1,0,1,0,0,1,1,0.5,0,0.5,1,0,0,0,0,0,0,0.5,0.5,0,1,1,0,0,0,1,0,1,1,1,0,1,0,0.5,0,0,1,1,0,0,0,1,0,1,1,0.5,0,1,1,0,0.5,0,0.5,1,1,0.5,0,0,0,0,0,1,0,0,0,1,0,0.5,0] recall 0.30625 [0,0,0,0,0,0,0.5,0,0,0,1,0,1,0,0,1,0.5,1,0.5,0.5,1,0,0,0,0,0,0,0,0.5,1,0,1,1,1,0,0.5,1,1,1,0,0,1,0,0,0,1,0,0,0,0.5,0,0.5,1,0.5,1,0,1,0,1,0,1,0,1,1,1,0,0,0,1,0.5,0.5,0,1,1,0.5,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] recall 0.3375 [0,0,0,0,0,1,0.5,0,0,0,0,0,0.5,0,0,1,0,0,1,1,1,0,0,0,0,0.5,0,0,0.5,1,0,1,0,0.5,0,1,1,1,1,1,0,1,0,0,0,0,0,0,0.5,0,0,1,0.5,1,1,0,1,0,1,0,1,0,0,0,1,0,0.5,1,0,0,0,0,1,0,1,0.5,1,1,0,0,1,0.5,0,0.5,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0.5,0] recall 0.34375 [0,0,0,0,0,0,0.5,0,0,0.5,0.5,0,0.5,0,0,1,0,0.5,0.5,1,1,0,0,0,0,0,1,0,1,1,0,1,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0.5,0.5,0.5,0.5,0,1,0,1,0,1,0,0,0,0.5,0,1,1,1,0,0.5,0.5,0.5,0,0,0.5,0,0,0,1,1,0.5,1,1,1,1,0.5,1,0,0,0,0,0.5,0,1,0,0,0,0,1] recall 0.325 [0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,1,0,0,0,1,1,0,0,1,0,0.5,0,0,0.5,1,1,1,0,1,0,1,1,1,1,0,0,0,0.5,0,0,0,0,0,1,0,0,0,1,0,0.5,0,1,0,0.5,0,1,1,1,0,1,1,0,1,1,0,0,0,0.5,0,0,1,1,0,0,0.5,0,0,0,1,0,0.5,0.5,1,0,0,0,0,1,1,0,0,0,0,0,0] recall 0.325 [1,0,0,0,0,1,1,0,0,0,0.5,0,1,0,0,1,0,0,0.5,1,1,0,0,1,0,0.5,0,0,1,1,0,1,0,0.5,0.5,0,1,1,1,0,0,0,0,0,0,0,0,0.5,1,1,0,0,0.5,1,0.5,0,1,0,0.5,0,1,0,0.5,0,1,0,0,0.5,0.5,0,0,0,1,0.5,0.5,1,0,1,0,0.5,0,0,0,1,0,0.5,0.5,1,0,1,0,0,0.5,0,0,0,0,0,0,0] recall 0.35625 [0,0,0,0,1,0.5,1,0,0,0,0.5,0,1,0,0,1,1,0,1,0.5,1,0,0,0.5,0,1,0.5,0,1,1,0,1,0,1,0.5,0.5,0.5,0.5,0,0,0,0,0,1,0,0,1,0.5,1,0.5,0,1,0.5,0,1,1,1,0,0,0,0.5,0,0.5,0,0,0,1,1,1,0,0,0,1,0,1,0,1,0.5,0,0,0.5,0,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0.5,0.5,0,0] recall 0.26875 [0,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0.5,1,0,0,1,0,1,0,0,0,1,0,1,0,1,0.5,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0.5,1,0.5,1,1,0,0.5,0,1,0,0.5,0,0,0,1,0.5,1,1,0,1,0.5,0.5,0,0,0,0,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0.5,0,0.5,0,0,0.5,1,0] recall 0.25 [0,0,0,0,0,0,0.5,0,0,1,1,0,1,0,0,0.5,1,0,1,0.5,1,0,0,0,0,1,0,0,1,1,0,0.5,0,1,0,0.5,0.5,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0.5,0,1,0,0,1,0,1,0,0.5,0.5,0.5,0,0,0,0.5,0,0,0,1,0,1,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0.5,0,1,1,0] recall 0.295597 [0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,1,0,0,1,0.5,1,0,1,0.5,0,0,0,0,1,1,0,1,0,1,1,0,1,0,0.5,0,0,0,0.5,0,0,0,0,1,0,0,0,0.5,0,1,0,0,0.5,0,1,0,1,0,0.5,0,0.5,0,1,0,0.5,0,0,0,1,0,1,0.5,1,0,0,1,0.5,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0.5,1,1,1,0] relative_absolute_error 0.991339 relative_absolute_error 0.991446 relative_absolute_error 0.9911 relative_absolute_error 0.991103 relative_absolute_error 0.991184 relative_absolute_error 0.991377 relative_absolute_error 0.99112 relative_absolute_error 0.991656 relative_absolute_error 0.991194 relative_absolute_error 0.991074 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_squared_error 0.0988 root_mean_squared_error 0.098812 root_mean_squared_error 0.098777 root_mean_squared_error 0.098776 root_mean_squared_error 0.098785 root_mean_squared_error 0.098804 root_mean_squared_error 0.098779 root_mean_squared_error 0.098832 root_mean_squared_error 0.098786 root_mean_squared_error 0.098774 root_relative_squared_error 0.99298 root_relative_squared_error 0.993093 root_relative_squared_error 0.992741 root_relative_squared_error 0.992738 root_relative_squared_error 0.992826 root_relative_squared_error 0.99302 root_relative_squared_error 0.992767 root_relative_squared_error 0.993305 root_relative_squared_error 0.992842 root_relative_squared_error 0.992719 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0