521101 64 Rafael Gomes Mantovani 9956 Supervised Classification 2594 classif.extraTrees(5) 3498 seed 1 2594 kind Mersenne-Twister 2594 normal.kind Inversion 2594 study_7 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 1791563 description https://api.openml.org/data/download/1791563/file352c3ca4282f -1 1791564 predictions https://api.openml.org/data/download/1791564/file352c21aeaecf area_under_roc_curve 0.931144 [0.966035,0.96875,0.874684,0.999684,0.905934,0.905618,0.874684,0.998105,0.9375,0.967802,0.905934,0.874368,0.968118,0.968434,0.875,1,0.841539,0.968434,1,0.937184,0.999368,0.717171,0.967802,0.968434,0.717802,0.936868,0.937184,0.780618,1,0.968434,0.96875,0.999684,0.84375,0.998421,0.937184,0.749684,0.935289,0.999368,0.873737,0.968434,1,0.874052,0.936552,0.874052,0.780302,0.967487,0.842802,0.96875,0.967802,0.905302,0.966223,0.968118,0.999368,0.937184,0.779671,0.936237,1,0.874052,0.968434,0.999684,1,0.999684,0.968118,0.999052,0.937184,0.967171,0.999368,0.905934,0.999684,0.811868,0.967487,0.749052,0.999684,0.936552,0.96875,0.999684,0.936237,1,0.968434,0.905302,0.999684,0.874052,0.749052,0.936868,0.874368,0.968434,0.780618,0.998105,0.999052,0.967487,0.936868,0.812184,0.936237,0.968434,0.968118,0.873105,0.967487,1,0.998421,0.936868] average_cost 0 f_measure 0.859809 [0.903226,0.967742,0.827586,0.969697,0.866667,0.83871,0.827586,0.842105,0.933333,0.882353,0.866667,0.8,0.909091,0.9375,0.857143,1,0.647059,0.9375,1,0.903226,0.941176,0.5,0.882353,0.9375,0.538462,0.875,0.903226,0.666667,1,0.9375,0.967742,0.969697,0.814815,0.864865,0.903226,0.64,0.756757,0.941176,0.75,0.9375,1,0.774194,0.848485,0.774194,0.642857,0.857143,0.733333,0.967742,0.882353,0.8125,0.769231,0.909091,0.941176,0.903226,0.6,0.823529,1,0.774194,0.9375,0.969697,1,0.969697,0.909091,0.914286,0.903226,0.833333,0.941176,0.866667,0.969697,0.714286,0.857143,0.592593,0.969697,0.848485,0.967742,0.969697,0.823529,1,0.9375,0.8125,0.969697,0.774194,0.592593,0.875,0.8,0.9375,0.666667,0.842105,0.914286,0.857143,0.875,0.740741,0.823529,0.9375,0.909091,0.705882,0.857143,1,0.864865,0.875] kappa 0.862288 kb_relative_information_score 1380.537177 mean_absolute_error 0.002727 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 0.867125 [0.875,1,0.923077,0.941176,0.928571,0.866667,0.923077,0.727273,1,0.833333,0.928571,0.857143,0.882353,0.9375,1,1,0.611111,0.9375,1,0.933333,0.888889,0.583333,0.833333,0.9375,0.7,0.875,0.933333,0.818182,1,0.9375,1,0.941176,1,0.761905,0.933333,0.888889,0.666667,0.888889,0.75,0.9375,1,0.8,0.823529,0.8,0.75,0.789474,0.785714,1,0.833333,0.8125,0.652174,0.882353,0.888889,0.933333,0.642857,0.777778,1,0.8,0.9375,0.941176,1,0.941176,0.882353,0.842105,0.933333,0.75,0.888889,0.928571,0.941176,0.833333,0.789474,0.727273,0.941176,0.823529,1,0.941176,0.777778,1,0.9375,0.8125,0.941176,0.8,0.727273,0.875,0.857143,0.9375,0.818182,0.727273,0.842105,0.789474,0.875,0.909091,0.777778,0.9375,0.882353,0.666667,0.789474,1,0.761905,0.875] predictive_accuracy 0.863665 prior_entropy 6.643831 recall 0.863665 [0.933333,0.9375,0.75,1,0.8125,0.8125,0.75,1,0.875,0.9375,0.8125,0.75,0.9375,0.9375,0.75,1,0.6875,0.9375,1,0.875,1,0.4375,0.9375,0.9375,0.4375,0.875,0.875,0.5625,1,0.9375,0.9375,1,0.6875,1,0.875,0.5,0.875,1,0.75,0.9375,1,0.75,0.875,0.75,0.5625,0.9375,0.6875,0.9375,0.9375,0.8125,0.9375,0.9375,1,0.875,0.5625,0.875,1,0.75,0.9375,1,1,1,0.9375,1,0.875,0.9375,1,0.8125,1,0.625,0.9375,0.5,1,0.875,0.9375,1,0.875,1,0.9375,0.8125,1,0.75,0.5,0.875,0.75,0.9375,0.5625,1,1,0.9375,0.875,0.625,0.875,0.9375,0.9375,0.75,0.9375,1,1,0.875] relative_absolute_error 0.137712 root_mean_prior_squared_error 0.099499 root_mean_squared_error 0.052218 root_relative_squared_error 0.524809 total_cost 0 usercpu_time_millis 25.283 usercpu_time_millis_testing 0.573999999999998 usercpu_time_millis_training 24.709 area_under_roc_curve 0.927454 [1,1,0.5,1,0.75,0.746835,0.75,1,1,0.996835,0.996855,0.75,0.996835,1,1,1,0.996835,1,1,1,1,0.75,0.996835,0.75,0.75,0.996855,1,1,1,0.5,1,1,1,1,1,0.75,0.996855,1,1,1,1,0.996855,1,1,1,0.996855,0.75,1,0.993671,1,0.996855,1,1,1,0.493711,1,1,0.996855,1,1,1,1,1,1,0.75,0.996835,1,1,1,0.75,1,1,1,1,1,1,1,1,1,0.996855,1,1,0.75,0.75,0.5,1,0.5,0.993671,1,0.996835,0.75,0.75,0.993711,1,0.75,0.75,1,1,1,1] area_under_roc_curve 0.911711 [1,1,1,1,1,0.5,1,0.990566,1,0.996835,1,1,1,1,0.75,1,0.75,1,1,0.746835,1,0.75,0.996835,1,0.746835,0.5,0.5,1,1,1,1,1,1,0.993711,0.996855,0.496835,0.996855,1,0.996835,1,1,1,0.5,0.75,1,1,0.5,1,1,1,0.996855,1,0.996855,1,0.996855,1,1,1,1,0.996855,1,1,0.996855,1,1,0.75,0.996835,0.5,1,0.75,1,0.75,1,1,1,1,0.746835,1,1,0.996855,0.996855,0.996835,0.5,0.75,0.996855,1,0.75,0.996835,1,1,1,0.75,1,0.996855,0.996835,0.5,1,1,0.996835,0.5] area_under_roc_curve 0.946342 [1,1,1,1,1,1,1,1,1,1,1,1,0.996835,0.75,1,1,1,1,1,1,1,0.496835,1,1,0.996855,1,1,0.75,1,1,1,1,0.75,1,1,1,0.996855,1,0.996855,1,1,0.996855,1,1,0.496835,1,0.993671,1,1,1,1,0.75,0.996835,1,1,0.75,1,0.5,1,1,1,0.996855,1,1,1,1,1,1,1,0.996835,0.996835,0.746835,1,0.996855,1,1,1,1,1,0.75,1,0.75,1,0.996835,1,0.75,0.5,1,1,1,1,0.75,1,1,1,1,1,1,1,0.996855] area_under_roc_curve 0.924289 [1,1,0.75,1,1,1,0.5,1,1,1,1,1,1,1,0.75,1,0.75,0.996835,1,1,1,0.75,1,1,0.496855,1,1,0.496835,1,1,1,1,1,1,1,0.5,0.996855,1,0.496855,1,1,0.5,0.496855,0.993671,0.75,1,1,0.75,1,0.993711,1,1,1,0.746835,0.75,0.996835,1,1,1,1,1,1,1,1,1,1,0.996835,0.996855,0.996855,0.746835,0.996835,0.496835,1,1,0.75,1,0.75,1,1,1,1,0.75,1,1,1,1,0.996835,0.993711,1,1,1,1,0.75,1,1,0.993711,0.996835,1,1,1] area_under_roc_curve 0.933704 [1,1,0.75,1,1,1,1,1,0.5,1,0.75,0.5,1,1,0.5,1,0.746835,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996855,0.5,1,0.996835,0.996835,0.75,0.743671,0.75,0.75,1,1,0.996855,0.743671,1,1,1,0.746835,0.75,1,0.75,1,1,1,1,1,0.993671,1,0.996855,1,1,1,1,0.996855,1,1,0.996835,1,1,0.996855,1,1,1,1,0.75,0.496855,1,1,1,0.75,1,0.996835,0.996855,0.5,1,1,0.5,1,0.996855,1,1,1,0.996835] area_under_roc_curve 0.939973 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.993671,1,1,1,1,1,0.996835,1,0.5,1,0.75,0.5,1,0.996835,0.5,1,1,1,0.75,1,0.996835,1,1,0.996855,1,0.75,1,0.996835,1,0.996835,1,1,1,1,0.990506,1,1,1,0.75,0.996835,1,0.75,1,1,1,1,0.75,1,1,1,1,0.75,1,1,1,0.996855,1,1,1,1,1,1,1,0.746835,1,0.5,0.5,0.996855,0.5,0.996835,1,1,1,0.996855,1,0.75,0.75,1,1,0.996855,0.75,1,0.996835,1] area_under_roc_curve 0.943217 [0.996855,1,1,1,1,1,1,1,1,1,0.75,0.746835,1,1,1,1,1,1,1,1,1,0.993711,0.5,0.996835,0.75,1,1,0.496855,1,1,1,1,0.5,1,0.75,1,0.75,1,0.75,1,1,1,0.996835,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996835,1,0.993711,1,1,1,0.5,1,1,1,0.496835,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0.996835,0.996855,0.996835,1,0.496855,1,1,0.996855,1,0.993671,1,1,1] area_under_roc_curve 0.921045 [1,1,0.746835,1,1,1,0.996855,0.996835,0.75,0.5,0.75,0.996835,1,1,1,1,0.493711,0.75,1,0.75,1,0.996855,1,1,0.5,1,1,0.5,1,1,1,1,0.5,1,1,0.75,0.993671,0.993671,0.75,1,1,1,1,0.5,1,1,0.996855,1,1,1,1,0.996855,1,1,0.996835,1,1,0.746835,0.746835,1,1,1,1,1,0.996855,0.996835,1,0.75,1,0.5,0.996855,0.5,1,1,1,1,1,1,0.746835,0.75,1,1,0.996835,1,0.746835,1,0.5,1,1,1,1,1,0.996835,1,1,0.746835,0.996835,1,1,1] area_under_roc_curve 0.927494 [0.496855,1,1,1,0.75,0.996835,1,0.996835,1,1,1,1,1,0.996855,0.75,1,1,1,1,1,0.996855,0.746835,1,1,0.75,0.996855,0.996835,1,1,1,1,0.996835,1,0.996855,1,0.75,0.75,1,1,1,1,0.75,1,0.5,0.5,0.996855,1,1,0.746835,0.75,0.996835,0.996855,1,0.75,0.5,0.996855,1,1,1,1,1,1,1,1,0.75,1,1,1,1,0.5,0.75,0.5,0.996855,1,1,0.996835,1,1,1,1,1,0.993711,0.75,1,1,1,1,1,1,1,0.996835,0.5,0.996855,1,1,1,1,1,0.993711,0.75] area_under_roc_curve 0.936507 [1,0.75,1,0.996815,0.746815,1,0.75,0.996835,1,0.996815,1,0.75,0.75,1,1,1,0.496835,1,1,1,0.996835,0.5,1,1,0.75,1,1,0.75,1,1,1,1,1,0.993671,1,0.5,1,1,0.75,1,1,0.75,1,1,1,0.996835,0.5,1,1,0.5,1,1,1,1,0.5,0.996835,1,0.996815,1,1,1,1,0.996815,1,1,1,1,1,1,1,1,0.75,1,1,1,1,0.993631,1,1,1,1,1,0.996815,1,1,1,0.996835,1,0.996835,0.75,0.996815,1,1,1,1,0.996815,1,1,0.996835,1] 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 0.846458 [1,1,0,1,0.666667,0.5,0.666667,1,1,0.8,0.666667,0.666667,0.8,1,1,1,0.8,1,1,1,1,0.666667,0.8,0.666667,0.666667,0.666667,1,1,1,0,1,1,1,1,1,0.666667,0.666667,1,1,1,1,0.666667,1,1,1,0.666667,0.666667,1,0.666667,1,0.666667,1,1,1,0,1,1,0.666667,1,1,1,1,1,1,0.666667,0.8,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,0.666667,1,1,0.666667,0.666667,0,1,0,0.666667,1,0.8,0.666667,0.666667,0.5,1,0.666667,0.666667,1,1,1,1] f_measure 0.796042 [1,1,1,1,1,0,1,0.4,1,0.8,1,1,1,1,0.666667,1,0.666667,1,1,0.5,1,0.666667,0.8,1,0.5,0,0,1,1,1,1,1,1,0.5,0.666667,0,0.666667,1,0.8,1,1,1,0,0.666667,1,1,0,1,1,1,0.666667,1,0.666667,1,0.666667,1,1,1,1,0.666667,1,1,0.666667,1,1,0.666667,0.8,0,1,0.666667,1,0.666667,1,1,1,1,0.5,1,1,0.666667,0.666667,0.8,0,0.666667,0.666667,1,0.666667,0.8,1,1,1,0.666667,1,0.666667,0.8,0,1,1,0.8,0] f_measure 0.88125 [1,1,1,1,1,1,1,1,1,1,1,1,0.8,0.666667,1,1,1,1,1,1,1,0,1,1,0.666667,1,1,0.666667,1,1,1,1,0.666667,1,1,1,0.666667,1,0.666667,1,1,0.666667,1,1,0,1,0.666667,1,1,1,1,0.666667,0.8,1,1,0.666667,1,0,1,1,1,0.666667,1,1,1,1,1,1,1,0.8,0.8,0.5,1,0.666667,1,1,1,1,1,0.666667,1,0.666667,1,0.8,1,0.666667,0,1,1,1,1,0.666667,1,1,1,1,1,1,1,0.666667] f_measure 0.838125 [1,1,0.666667,1,1,1,0,1,1,1,1,1,1,1,0.666667,1,0.666667,0.8,1,1,1,0.666667,1,1,0,1,1,0,1,1,1,1,1,1,1,0,0.666667,1,0,1,1,0,0,0.666667,0.666667,1,1,0.666667,1,0.5,1,1,1,0.5,0.666667,0.8,1,1,1,1,1,1,1,1,1,1,0.8,0.666667,0.666667,0.5,0.8,0,1,1,0.666667,1,0.666667,1,1,1,1,0.666667,1,1,1,1,0.8,0.5,1,1,1,1,0.666667,1,1,0.5,0.8,1,1,1] f_measure 0.85375 [1,1,0.666667,1,1,1,1,1,0,1,0.666667,0,1,1,0,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,0,1,0.8,0.8,0.666667,0.4,0.666667,0.666667,1,1,0.666667,0.4,1,1,1,0.5,0.666667,1,0.666667,1,1,1,1,1,0.666667,1,0.666667,1,1,1,1,0.666667,1,1,0.8,1,1,0.666667,1,1,1,1,0.666667,0,1,1,1,0.666667,1,0.8,0.666667,0,1,1,0,1,0.666667,1,1,1,0.8] f_measure 0.862143 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,0.8,1,0,1,0.666667,0,1,0.8,0,1,1,1,0.666667,1,0.8,1,1,0.666667,1,0.666667,1,0.8,1,0.8,1,1,1,1,0.571429,1,1,1,0.666667,0.8,1,0.666667,1,1,1,1,0.666667,1,1,1,1,0.666667,1,1,1,0.666667,1,1,1,1,1,1,1,0.5,1,0,0,0.666667,0,0.8,1,1,1,0.666667,1,0.666667,0.666667,1,1,0.666667,0.666667,1,0.8,1] f_measure 0.86875 [0.666667,1,1,1,1,1,1,1,1,1,0.666667,0.5,1,1,1,1,1,1,1,1,1,0.5,0,0.8,0.666667,1,1,0,1,1,1,1,0,1,0.666667,1,0.666667,1,0.666667,1,1,1,0.8,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.8,1,0.5,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,0.8,0.666667,0.8,1,0,1,1,0.666667,1,0.666667,1,1,1] f_measure 0.822083 [1,1,0.5,1,1,1,0.666667,0.8,0.666667,0,0.666667,0.8,1,1,1,1,0,0.666667,1,0.666667,1,0.666667,1,1,0,1,1,0,1,1,1,1,0,1,1,0.666667,0.666667,0.666667,0.666667,1,1,1,1,0,1,1,0.666667,1,1,1,1,0.666667,1,1,0.8,1,1,0.5,0.5,1,1,1,1,1,0.666667,0.8,1,0.666667,1,0,0.666667,0,1,1,1,1,1,1,0.5,0.666667,1,1,0.8,1,0.5,1,0,1,1,1,1,1,0.8,1,1,0.5,0.8,1,1,1] f_measure 0.83875 [0,1,1,1,0.666667,0.8,1,0.8,1,1,1,1,1,0.666667,0.666667,1,1,1,1,1,0.666667,0.5,1,1,0.666667,0.666667,0.8,1,1,1,1,0.8,1,0.666667,1,0.666667,0.666667,1,1,1,1,0.666667,1,0,0,0.666667,1,1,0.5,0.666667,0.8,0.666667,1,0.666667,0,0.666667,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,0,0.666667,0,0.666667,1,1,0.8,1,1,1,1,1,0.5,0.666667,1,1,1,1,1,1,1,0.8,0,0.666667,1,1,1,1,1,0.5,0.666667] f_measure 0.855556 [1,0.666667,1,0.8,0.5,1,0.666667,0.666667,1,0.8,1,0.666667,0.666667,1,1,1,0,1,1,1,0.666667,0,1,1,0.666667,1,1,0.666667,1,1,1,1,1,0.5,1,0,1,1,0.666667,1,1,0.666667,1,1,1,0.666667,0,1,1,0,1,1,1,1,0,0.666667,1,0.8,1,1,1,1,0.8,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,0.666667,1,1,1,1,1,0.8,1,1,1,0.666667,1,0.666667,0.666667,0.8,1,1,1,1,0.8,1,1,0.666667,1] kappa 0.854706 kappa 0.823142 kappa 0.8926 kappa 0.848383 kappa 0.867299 kappa 0.879942 kappa 0.886278 kappa 0.842028 kappa 0.854712 kappa 0.872856 kb_relative_information_score 136.959119 kb_relative_information_score 131.948821 kb_relative_information_score 142.971478 kb_relative_information_score 135.95706 kb_relative_information_score 138.963239 kb_relative_information_score 140.954194 kb_relative_information_score 141.956254 kb_relative_information_score 134.941835 kb_relative_information_score 136.932919 kb_relative_information_score 138.952258 mean_absolute_error 0.002875 mean_absolute_error 0.0035 mean_absolute_error 0.002125 mean_absolute_error 0.003 mean_absolute_error 0.002625 mean_absolute_error 0.002375 mean_absolute_error 0.00225 mean_absolute_error 0.003125 mean_absolute_error 0.002875 mean_absolute_error 0.002516 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 0.889583 [1,1,0,1,1,0.5,1,1,1,0.666667,0.5,1,0.666667,1,1,1,0.666667,1,1,1,1,1,0.666667,1,1,0.5,1,1,1,0,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,0.5,1,1,0.5,1,0.5,1,1,1,0,1,1,0.5,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0,1,0,0.5,1,0.666667,1,1,0.333333,1,1,1,1,1,1,1] precision 0.810937 [1,1,1,1,1,0,1,0.25,1,0.666667,1,1,1,1,1,1,1,1,1,0.5,1,1,0.666667,1,0.5,0,0,1,1,1,1,1,1,0.333333,0.5,0,0.5,1,0.666667,1,1,1,0,1,1,1,0,1,1,1,0.5,1,0.5,1,0.5,1,1,1,1,0.5,1,1,0.5,1,1,1,0.666667,0,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0.666667,0,1,0.5,1,1,0.666667,1,1,1,1,1,0.5,0.666667,0,1,1,0.666667,0] precision 0.901042 [1,1,1,1,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,0,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0.5,1,1,0.5,1,1,0,1,0.5,1,1,1,1,1,0.666667,1,1,1,1,0,1,1,1,0.5,1,1,1,1,1,1,1,0.666667,0.666667,0.5,1,0.5,1,1,1,1,1,1,1,1,1,0.666667,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,0.5] precision 0.865625 [1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,1,0,1,1,0,1,1,1,1,1,1,1,0,0.5,1,0,1,1,0,0,0.5,1,1,1,1,1,0.333333,1,1,1,0.5,1,0.666667,1,1,1,1,1,1,1,1,1,1,0.666667,0.5,0.5,0.5,0.666667,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,0.333333,1,1,1,1,1,1,1,0.333333,0.666667,1,1,1] precision 0.871875 [1,1,1,1,1,1,1,1,0,1,1,0,1,1,0,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0,1,0.666667,0.666667,1,0.333333,1,1,1,1,0.5,0.333333,1,1,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,0.666667,1,1,0.5,1,1,1,1,1,0,1,1,1,1,1,0.666667,0.5,0,1,1,0,1,0.5,1,1,1,0.666667] precision 0.881042 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,0.666667,1,0,1,1,0,1,0.666667,0,1,1,1,1,1,0.666667,1,1,0.5,1,1,1,0.666667,1,0.666667,1,1,1,1,0.4,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0.5,1,0,0,0.5,0,0.666667,1,1,1,0.5,1,1,1,1,1,0.5,1,1,0.666667,1] precision 0.873958 [0.5,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0.333333,0,0.666667,1,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0.666667,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,1,0.333333,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,0.666667,0.5,0.666667,1,0,1,1,0.5,1,0.5,1,1,1] precision 0.833333 [1,1,0.5,1,1,1,0.5,0.666667,1,0,1,0.666667,1,1,1,1,0,1,1,1,1,0.5,1,1,0,1,1,0,1,1,1,1,0,1,1,1,0.5,0.5,1,1,1,1,1,0,1,1,0.5,1,1,1,1,0.5,1,1,0.666667,1,1,0.5,0.5,1,1,1,1,1,0.5,0.666667,1,1,1,0,0.5,0,1,1,1,1,1,1,0.5,1,1,1,0.666667,1,0.5,1,0,1,1,1,1,1,0.666667,1,1,0.5,0.666667,1,1,1] precision 0.865625 [0,1,1,1,1,0.666667,1,0.666667,1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,0.5,1,1,1,0.5,0.666667,1,1,1,1,0.666667,1,0.5,1,1,1,1,1,1,1,1,1,0,0,0.5,1,1,0.5,1,0.666667,0.5,1,1,0,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0.5,1,1,0.666667,1,1,1,1,1,0.333333,1,1,1,1,1,1,1,1,0.666667,0,0.5,1,1,1,1,1,0.333333,1] precision 0.875262 [1,1,1,0.666667,0.5,1,1,0.5,1,0.666667,1,1,1,1,1,1,0,1,1,1,0.5,0,1,1,1,1,1,1,1,1,1,1,1,0.333333,1,0,1,1,1,1,1,1,1,1,1,0.5,0,1,1,0,1,1,1,1,0,0.5,1,0.666667,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,0.666667,1,1,1,0.5,1,0.5,1,0.666667,1,1,1,1,0.666667,1,1,0.5,1] predictive_accuracy 0.85625 predictive_accuracy 0.825 predictive_accuracy 0.89375 predictive_accuracy 0.85 predictive_accuracy 0.86875 predictive_accuracy 0.88125 predictive_accuracy 0.8875 predictive_accuracy 0.84375 predictive_accuracy 0.85625 predictive_accuracy 0.874214 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 0.85625 [1,1,0,1,0.5,0.5,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0.5,1,0.5,0.5,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,0,1,0,1,1,1,0.5,0.5,1,1,0.5,0.5,1,1,1,1] recall 0.825 [1,1,1,1,1,0,1,1,1,1,1,1,1,1,0.5,1,0.5,1,1,0.5,1,0.5,1,1,0.5,0,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0.5,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0,1,0.5,1,0.5,1,1,1,1,0.5,1,1,1,1,1,0,0.5,1,1,0.5,1,1,1,1,0.5,1,1,1,0,1,1,1,0] recall 0.89375 [1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,0.5,1,1,1,0.5,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,0.5,0,1,1,1,1,0.5,1,1,1,1,1,1,1,1] recall 0.85 [1,1,0.5,1,1,1,0,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,0,1,1,0,0,1,0.5,1,1,0.5,1,1,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1] recall 0.86875 [1,1,0.5,1,1,1,1,1,0,1,0.5,0,1,1,0,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0.5,0.5,0.5,0.5,1,1,1,0.5,1,1,1,0.5,0.5,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0,1,1,1,0.5,1,1,1,0,1,1,0,1,1,1,1,1,1] recall 0.88125 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0.5,0,1,1,0,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,0.5,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0,0,1,0,1,1,1,1,1,1,0.5,0.5,1,1,1,0.5,1,1,1] recall 0.8875 [1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,0,1,0.5,1,1,0,1,1,1,1,0,1,0.5,1,0.5,1,0.5,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1] recall 0.84375 [1,1,0.5,1,1,1,1,1,0.5,0,0.5,1,1,1,1,1,0,0.5,1,0.5,1,1,1,1,0,1,1,0,1,1,1,1,0,1,1,0.5,1,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,0.5,1,0,1,0,1,1,1,1,1,1,0.5,0.5,1,1,1,1,0.5,1,0,1,1,1,1,1,1,1,1,0.5,1,1,1,1] recall 0.85625 [0,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,1,1,0.5,1,0,0,1,1,1,0.5,0.5,1,1,1,0.5,0,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0,0.5,0,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,0.5] recall 0.874214 [1,0.5,1,1,0.5,1,0.5,1,1,1,1,0.5,0.5,1,1,1,0,1,1,1,1,0,1,1,0.5,1,1,0.5,1,1,1,1,1,1,1,0,1,1,0.5,1,1,0.5,1,1,1,1,0,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1] relative_absolute_error 0.145202 relative_absolute_error 0.176767 relative_absolute_error 0.107323 relative_absolute_error 0.151515 relative_absolute_error 0.132576 relative_absolute_error 0.11995 relative_absolute_error 0.113637 relative_absolute_error 0.157829 relative_absolute_error 0.145202 relative_absolute_error 0.127057 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 0.053619 root_mean_squared_error 0.059161 root_mean_squared_error 0.046098 root_mean_squared_error 0.054772 root_mean_squared_error 0.051235 root_mean_squared_error 0.048734 root_mean_squared_error 0.047434 root_mean_squared_error 0.055902 root_mean_squared_error 0.053619 root_mean_squared_error 0.050157 root_relative_squared_error 0.538891 root_relative_squared_error 0.594587 root_relative_squared_error 0.463299 root_relative_squared_error 0.550481 root_relative_squared_error 0.514928 root_relative_squared_error 0.489796 root_relative_squared_error 0.476732 root_relative_squared_error 0.561834 root_relative_squared_error 0.538893 root_relative_squared_error 0.504098 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