505646 603 Casey Davis 9956 Supervised Classification 1720 weka.J48(33) 3045 weka.classifiers.trees.J48 -- -O -S -C 0.25 -M 2 -J O true 1720 C 0.25 1720 M 2 1720 S true 1720 J true 1720 weka weka_3.7.13 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 1758908 description https://api.openml.org/data/download/1758908/weka_generated_run409997298348501177.xml -1 1758910 model_readable https://api.openml.org/data/download/1758910/WekaModel_weka.classifiers.trees.J484822133674259647591.model -1 1758909 model_serialized https://api.openml.org/data/download/1758909/WekaSerialized_weka.classifiers.trees.J483586171212097499632.model -1 1758911 predictions https://api.openml.org/data/download/1758911/weka_generated_predictions8920643596747672693.arff area_under_roc_curve 0.776143 [0.729545,0.93594,0.651492,0.714466,0.618861,0.716065,0.869295,0.841164,0.746901,0.841855,0.810289,0.840809,0.872138,0.903506,0.745716,0.746822,0.616827,0.778467,0.904888,0.809657,0.967625,0.649084,0.840512,0.936197,0.520373,0.74388,0.715532,0.516879,0.935644,0.936138,0.746565,0.873776,0.553873,0.842269,0.683631,0.676998,0.747967,0.904967,0.68217,0.841085,0.810368,0.839664,0.555235,0.58609,0.77746,0.810072,0.682269,0.874072,0.747217,0.777499,0.808789,0.716065,0.74394,0.747572,0.680966,0.904296,0.87346,0.558177,0.842487,0.873519,0.905835,0.840532,0.841578,0.811,0.779217,0.840512,0.808019,0.744907,0.684045,0.584847,0.74619,0.614557,0.936868,0.745025,0.779888,0.843335,0.746605,0.748263,0.904631,0.682821,0.715789,0.71419,0.776354,0.743209,0.74619,0.810881,0.582182,0.840888,0.904552,0.808256,0.809341,0.616709,0.936355,0.936987,0.778467,0.839585,0.77823,0.874763,0.748046,0.842645] average_cost 0 f_measure 0.522177 [0.451613,0.848485,0.294118,0.461538,0.228571,0.466667,0.511628,0.645161,0.466667,0.666667,0.588235,0.55,0.666667,0.702703,0.457143,0.5,0.222222,0.545455,0.742857,0.571429,0.774194,0.266667,0.545455,0.848485,0,0.432432,0.424242,0,0.777778,0.787879,0.4375,0.685714,0.114286,0.689655,0.296296,0.217391,0.533333,0.764706,0.30303,0.647059,0.6,0.470588,0.071429,0.142857,0.5625,0.580645,0.375,0.8,0.551724,0.514286,0.545455,0.5,0.444444,0.571429,0.3125,0.645161,0.774194,0.086957,0.709677,0.75,0.8125,0.628571,0.666667,0.666667,0.551724,0.594595,0.545455,0.444444,0.444444,0.064516,0.484848,0.142857,0.848485,0.451613,0.6,0.740741,0.470588,0.592593,0.709677,0.285714,0.466667,0.444444,0.461538,0.3125,0.466667,0.689655,0.137931,0.666667,0.75,0.540541,0.588235,0.129032,0.848485,0.848485,0.6,0.611111,0.6,0.857143,0.571429,0.733333] kappa 0.518639 kb_relative_information_score 859.708246 mean_absolute_error 0.009961 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] os_information [Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic] precision 0.531089 [0.4375,0.823529,0.277778,0.6,0.210526,0.5,0.407407,0.666667,0.5,0.714286,0.555556,0.458333,0.6,0.619048,0.421053,0.5,0.2,0.529412,0.684211,0.526316,0.8,0.285714,0.529412,0.823529,0,0.380952,0.411765,0,0.7,0.764706,0.4375,0.631579,0.105263,0.769231,0.363636,0.166667,0.571429,0.722222,0.294118,0.611111,0.642857,0.444444,0.083333,0.166667,0.5625,0.6,0.375,0.857143,0.615385,0.473684,0.529412,0.583333,0.4,0.666667,0.3125,0.666667,0.8,0.142857,0.733333,0.75,0.8125,0.578947,0.647059,0.714286,0.615385,0.52381,0.529412,0.4,0.545455,0.066667,0.470588,0.166667,0.823529,0.466667,0.642857,0.909091,0.444444,0.727273,0.733333,0.333333,0.5,0.545455,0.6,0.3125,0.5,0.769231,0.153846,0.714286,0.75,0.47619,0.555556,0.133333,0.823529,0.823529,0.642857,0.55,0.642857,1,0.666667,0.785714] predictive_accuracy 0.523452 prior_entropy 6.643831 recall 0.523452 [0.466667,0.875,0.3125,0.375,0.25,0.4375,0.6875,0.625,0.4375,0.625,0.625,0.6875,0.75,0.8125,0.5,0.5,0.25,0.5625,0.8125,0.625,0.75,0.25,0.5625,0.875,0,0.5,0.4375,0,0.875,0.8125,0.4375,0.75,0.125,0.625,0.25,0.3125,0.5,0.8125,0.3125,0.6875,0.5625,0.5,0.0625,0.125,0.5625,0.5625,0.375,0.75,0.5,0.5625,0.5625,0.4375,0.5,0.5,0.3125,0.625,0.75,0.0625,0.6875,0.75,0.8125,0.6875,0.6875,0.625,0.5,0.6875,0.5625,0.5,0.375,0.0625,0.5,0.125,0.875,0.4375,0.5625,0.625,0.5,0.5,0.6875,0.25,0.4375,0.375,0.375,0.3125,0.4375,0.625,0.125,0.625,0.75,0.625,0.625,0.125,0.875,0.875,0.5625,0.6875,0.5625,0.75,0.5,0.6875] relative_absolute_error 0.503067 root_mean_prior_squared_error 0.099499 root_mean_squared_error 0.09248 root_relative_squared_error 0.929459 scimark_benchmark 1185.290878 [737.2107719365564, 1113.5250084454917, 473.2224763010988, 1151.2692389515444, 2451.226892132747] total_cost 0 usercpu_time_millis 290 usercpu_time_millis_testing 30 usercpu_time_millis_training 260 area_under_roc_curve 0.735963 [0.5,0.993711,0.490566,0.743671,0.487342,0.481013,0.496835,1,0.743671,0.496835,0.5,0.75,0.993671,1,0.5,0.996835,0.732595,1,1,0.5,1,0.474684,1,0.75,0.484177,1,0.5,0.484177,0.996835,0.5,0.75,0.746835,0.487421,1,0.493711,0.496835,0.993711,0.5,0.493671,1,0.748418,1,0.5,0.493671,0.996855,1,0.5,0.496855,0.490506,0.990506,0.993711,0.996835,0.493711,0.748418,0.996855,1,1,0.490566,0.493711,0.996855,1,0.743671,0.996855,0.496855,0.998418,0.996835,0.743671,0.477987,0.496855,0.496835,0.5,0.732595,0.496855,1,0.75,0.5,1,0.75,0.996855,0.487421,0.493711,1,0.490506,0.742089,0.5,1,0.484177,0.484177,0.75,0.993671,0.746835,0.735759,1,1,0.75,0.745253,0.487421,1,0.75,1] area_under_roc_curve 0.789958 [1,1,1,0.75,0.745253,0.493671,0.995253,0.996855,0.75,0.75,1,1,1,0.984177,0.748418,0.490506,0.496835,0.993711,1,0.743671,0.998418,0.493671,0.996835,1,0.5,0.743671,0.493711,0.487342,0.996835,0.993671,0.745253,0.748418,1,0.990566,0.496855,0.732595,0.5,1,0.496835,0.745253,0.5,1,0.493711,0.490506,0.490566,1,0.745253,1,1,0.996835,0.996855,0.748418,0.993711,0.748418,0.481132,1,0.996855,0.496855,0.5,1,1,0.745253,1,0.996855,0.75,0.746835,0.75,0.5,0.993711,0.743671,0.995253,0.496835,1,0.974843,1,1,0.493671,0.496835,0.5,0.993711,0.5,1,0.487421,0.984177,0.496855,0.5,0.735759,0.743671,1,0.995253,0.496835,0.743671,1,0.996855,0.748418,0.743671,1,1,0.75,1] area_under_roc_curve 0.784044 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[0.746835,1,0.75,0.5,0.474843,1,0.490566,0.75,0.984277,0.987421,0.998418,0.996855,1,1,0.487421,1,0.493671,0.5,1,1,1,0.965409,0.990506,1,0.490566,0.738924,0.75,0.965409,1,1,0.993711,0.493711,0.487342,0.5,0.745253,0.496855,0.496835,0.746835,0.487421,0.496855,0.745253,0.996835,0.974684,0.496835,0.490506,0.735759,0.746835,0.748418,1,0.5,0.97943,0.75,1,0.5,0.496835,0.75,1,0.5,1,0.75,1,0.993711,0.75,0.746835,1,0.493711,0.496835,0.996835,0.496835,0.496835,0.5,1,1,0.493671,0.746835,1,0.493711,0.5,0.996835,0.496835,0.493671,0.487342,0.996855,0.487421,0.993671,0.996835,0.742089,0.5,0.993671,0.5,0.493711,0.740506,1,0.996855,0.990566,0.996855,0.493671,1,0.75,0.5] area_under_roc_curve 0.800402 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[1,1,0.5,0.480892,0.5,0.996815,0.740446,1,0.745223,1,0.490506,0.5,0.5,0.996835,0.742038,1,0.490506,0.496835,0.493671,1,0.993671,0.743631,0.993671,0.996815,0.490446,0.993671,0.743631,0.5,0.996835,0.996835,0.75,0.998408,0.990506,0.496835,1,0.737261,0.75,1,0.746815,0.5,0.984177,0.727707,0.493631,0.490506,1,0.493671,0.490506,1,0.490446,0.996815,0.490446,0.496815,0.493671,0.748408,0.496835,0.996835,0.996815,0.496815,0.75,0.75,1,0.5,0.743631,1,0.996815,0.746815,0.490506,0.746815,0.993631,0.493671,0.746815,0.493631,1,0.742038,0.496835,1,0.995223,1,0.5,0.496835,0.996815,0.5,1,0.746815,1,1,0.487342,1,1,0.493631,1,0.490506,1,0.75,0.5,0.996815,0.996835,1,0.496835,0.996815] 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 0.42995 [0,0.5,0,0.5,0,0,0,1,0.5,0,0,0.666667,0.666667,1,0,0.8,0.222222,1,1,0,1,0,1,0.666667,0,1,0,0,0.8,0,0.666667,0.666667,0,1,0,0,0.5,0,0,1,0.5,0.666667,0,0,0.666667,0.666667,0,0,0,0.571429,0.5,0.8,0,0.666667,0.666667,0.666667,1,0,0,0.666667,1,0.5,0.666667,0,0.666667,0.8,0.4,0,0,0,0,0,0,1,0.666667,0,0.8,0.666667,0.666667,0,0,1,0,0.5,0,1,0,0,0.666667,0.666667,0.5,0.285714,1,1,0.666667,0.5,0,1,0.666667,1] f_measure 0.492639 [0.8,1,0.666667,0.666667,0.5,0,0.666667,0.666667,0.666667,0.666667,0.666667,1,1,0.444444,0.666667,0,0,0.5,1,0.333333,0.8,0,0.8,1,0,0.4,0,0,0.8,0.666667,0.5,0.5,1,0.5,0,0,0,1,0,0.5,0,1,0,0,0,1,0.4,1,1,0.8,0.666667,0.666667,0.5,0.666667,0,1,0.666667,0,0,1,1,0.5,1,0.666667,0.666667,0.5,0.666667,0,0.666667,0,0.8,0,1,0,1,0.666667,0,0,0,0.5,0,0.666667,0,0,0,0,0,0.4,1,0.8,0,0.333333,1,0.666667,0.666667,0.5,1,1,0.666667,1] f_measure 0.534722 [0.5,1,0,0.5,0.5,1,1,1,1,0.8,1,1,0.444444,0.666667,1,0.666667,0.8,0,0.666667,0,1,0.666667,0.5,1,0,0,0.5,0,1,1,0.666667,1,0,0.666667,0.666667,0,1,0.8,1,0,0.666667,0.666667,0,0.5,0.8,0.666667,0.666667,1,0.5,0,0,0,0.666667,1,0.5,0.666667,0,0,0,0,0.8,0.666667,0,0,0,1,0.666667,1,0,0,1,0,1,0.666667,0.5,0.666667,0.5,1,0,0,0,0,0.666667,0,0,0.666667,0,1,0.666667,0,1,0,1,0.666667,1,1,0,1,0,1] f_measure 0.493185 [0.666667,0,0.666667,0.8,0.666667,0,0.571429,0.5,0.666667,0.8,0,0.666667,0.8,0.666667,0.333333,0,0,0.8,0.5,0.666667,0.666667,0.5,0,0,0,0.666667,0.666667,0,0.5,1,0.333333,1,0,1,0.5,0.333333,0.666667,1,0,0.666667,1,0,0,0,0.5,0.666667,1,0.666667,1,0,1,0.666667,0,0,0,0.5,1,0,1,0.666667,0.666667,0.5,0.666667,1,0.666667,0,0.8,1,1,0,1,0.666667,1,0,0,0.666667,0,0,0.666667,0.4,0.5,0,0,0,0,1,0,0.666667,0.5,1,1,0,1,1,0,0.5,0.666667,0.666667,0.4,0.666667] f_measure 0.435655 [0.666667,1,0.666667,0,0,1,0,0.666667,0,0,0.8,0.666667,1,1,0,1,0,0,1,1,1,0,0,1,0,0.5,0.666667,0,1,1,0.5,0,0,0,0,0,0,0.5,0,0,0.5,0.8,0.285714,0,0,0,0.666667,0.5,1,0,0.666667,0.666667,1,0,0,0.666667,1,0,1,0.666667,1,0.5,0.666667,0.5,1,0,0,0.666667,0,0,0,0.666667,1,0,0.5,1,0,0,0.8,0,0,0,0,0,0.666667,0.8,0.5,0,0.666667,0,0,0,1,0.666667,0.4,0.666667,0,1,0.666667,0] f_measure 0.554851 [0,0.8,0,0,0,1,0.4,0,1,0,0.571429,0.666667,1,0.666667,1,1,0,0.5,0.666667,0.666667,0.666667,0,0.666667,0.666667,0,0.4,0.666667,0,0.8,0.666667,0,1,0,1,0.666667,0.666667,0.666667,1,0.5,0.666667,1,0.8,0,0,0.666667,0.8,0,1,1,1,0.5,0,0.4,1,0.5,0.666667,1,0,1,1,1,0,0.666667,1,0,0.4,1,0,0,0.4,0,0,1,1,1,1,1,1,0.8,0.666667,0.666667,0,0.666667,0.666667,0,1,0,0,1,0,0.5,0,0.5,0.666667,0.5,0,0,1,0.666667,0.8] f_measure 0.508988 [0,0.666667,0.285714,0,0,0,0.333333,1,0.666667,1,0.666667,0.4,0,1,1,0,0,0.8,0.666667,0.4,0.666667,0,0,1,0,0.333333,0,0,0.666667,0.666667,0,1,0,0.666667,0,0.4,0.666667,0.5,0,0.666667,0.666667,0,0,0,0.666667,0.666667,0,1,0,0.666667,0.5,0.5,0,0,0.4,0.5,0.666667,0,1,1,0.666667,1,1,0.666667,0.666667,0.666667,0,0.666667,0,0,0,0,0.8,0,0.666667,1,0,0.666667,1,0.666667,0.666667,0.666667,0.5,0.666667,0.666667,0,0,1,0.666667,0.5,0.666667,0,0.8,1,0,0.8,0.8,1,1,1] f_measure 0.497749 [0,1,0,1,0,0.666667,0.666667,0.666667,0,0,0.666667,0.181818,1,0.5,0.666667,0,0,0.666667,1,0.5,1,0,0.666667,1,0,0,0.4,0,1,1,0,1,0,0.666667,0.666667,0,1,0.8,0,0.8,0,0,0,0,1,1,0,1,0.5,0,1,0,0.8,0.666667,0.5,0,1,0,0.4,0.666667,1,1,0.5,0.5,0,0.666667,0.666667,0.4,0.666667,0,0,0,0.5,0,0,0,0.666667,0,0.8,0,0.5,0.666667,0.666667,0,0.666667,0,0,1,1,0.571429,0.666667,0,0.666667,1,1,0.5,1,0,0.5,0.666667] f_measure 0.555833 [0.5,1,1,0,0.5,0.666667,0.8,0.5,0,1,1,1,0.666667,1,0,0.5,1,1,1,1,0.666667,0.5,0.5,0.8,0,0.666667,0.5,0,0,0.666667,0.666667,0.4,0,1,0,0.4,0,1,1,1,1,0.666667,0,1,0,0,0.4,0,0.5,0.5,0,0.666667,0,0.4,0,0.666667,0,0.666667,1,0.8,0,1,0.8,0.666667,0.666667,1,0,0.666667,0.5,0,0.5,0,1,0.8,1,0.8,0.5,0.8,1,0,0.666667,0.666667,0.4,0.4,0.666667,0,0.666667,1,0,1,0.5,0,0.666667,1,0.666667,0.666667,1,0,1,0] f_measure 0.45891 [1,1,0,0,0,0.8,0.4,1,0.5,1,0,0,0,0.666667,0.4,1,0,0,0,0.8,0,0.5,0.666667,0.8,0,0.4,0.4,0,0.666667,0.666667,0.666667,0.666667,0.5,0,0,0.333333,0.666667,0.666667,0.5,0,0,0,0,0,1,0,0,1,0,0.8,0,0,0,0.666667,0,0.666667,0.8,0,0.666667,0.666667,1,0,0.5,1,0.8,0.5,0,0.666667,0.666667,0,0.5,0,1,0.333333,0,1,0.8,1,0,0,0.8,0,0.666667,0.5,1,1,0,0.666667,1,0,1,0,1,0.666667,0,0.8,0.666667,1,0,0.8] kappa 0.456856 kappa 0.52631 kappa 0.55152 kappa 0.513735 kappa 0.457006 kappa 0.570605 kappa 0.520088 kappa 0.513582 kappa 0.57682 kappa 0.497901 kb_relative_information_score 74.639413 kb_relative_information_score 88.223858 kb_relative_information_score 89.521634 kb_relative_information_score 85.485042 kb_relative_information_score 79.392312 kb_relative_information_score 94.75144 kb_relative_information_score 85.608893 kb_relative_information_score 85.933973 kb_relative_information_score 93.460396 kb_relative_information_score 82.691285 mean_absolute_error 0.011248 mean_absolute_error 0.009877 mean_absolute_error 0.009446 mean_absolute_error 0.010022 mean_absolute_error 0.010971 mean_absolute_error 0.008721 mean_absolute_error 0.010086 mean_absolute_error 0.009916 mean_absolute_error 0.008932 mean_absolute_error 0.010392 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 0.451994 [0,0.333333,0,0.5,0,0,0,1,0.5,0,0,1,0.5,1,0,0.666667,0.142857,1,1,0,1,0,1,1,0,1,0,0,0.666667,0,1,1,0,1,0,0,0.333333,0,0,1,0.5,0.5,0,0,0.5,0.5,0,0,0,0.4,0.333333,0.666667,0,1,0.5,1,1,0,0,0.5,1,0.5,0.5,0,1,0.666667,0.333333,0,0,0,0,0,0,1,1,0,0.666667,1,0.5,0,0,1,0,0.5,0,1,0,0,1,0.5,0.5,0.2,1,1,1,0.5,0,1,1,1] precision 0.513988 [0.666667,1,0.5,1,0.5,0,1,0.5,1,1,0.5,1,1,0.285714,1,0,0,0.333333,1,0.25,0.666667,0,0.666667,1,0,0.333333,0,0,0.666667,0.5,0.5,0.5,1,0.333333,0,0,0,1,0,0.5,0,1,0,0,0,1,0.333333,1,1,0.666667,0.5,1,0.333333,1,0,1,0.5,0,0,1,1,0.5,1,0.5,1,0.5,1,0,0.5,0,0.666667,0,1,0,1,1,0,0,0,0.333333,0,1,0,0,0,0,0,0.333333,1,0.666667,0,0.25,1,0.5,1,0.5,1,1,1,1] precision 0.56503 [0.5,1,0,0.5,0.5,1,1,1,1,0.666667,1,1,0.285714,1,1,1,0.666667,0,0.5,0,1,1,0.5,1,0,0,0.333333,0,1,1,1,1,0,1,1,0,1,0.666667,1,0,1,0.5,0,0.5,0.666667,1,1,1,0.5,0,0,0,0.5,1,0.333333,1,0,0,0,0,0.666667,0.5,0,0,0,1,0.5,1,0,0,1,0,1,0.5,0.5,1,0.5,1,0,0,0,0,0.5,0,0,1,0,1,1,0,1,0,1,0.5,1,1,0,1,0,1] precision 0.53125 [1,0,1,0.666667,1,0,0.4,0.5,0.5,0.666667,0,0.5,0.666667,1,0.25,0,0,0.666667,0.5,0.5,1,0.5,0,0,0,1,0.5,0,0.5,1,0.25,1,0,1,0.5,0.2,0.5,1,0,0.5,1,0,0,0,0.5,1,1,1,1,0,1,1,0,0,0,0.5,1,0,1,0.5,1,0.333333,0.5,1,1,0,0.666667,1,1,0,1,1,1,0,0,1,0,0,1,0.333333,0.333333,0,0,0,0,1,0,0.5,0.5,1,1,0,1,1,0,0.333333,1,1,0.333333,0.5] precision 0.454063 [1,1,1,0,0,1,0,1,0,0,0.666667,0.5,1,1,0,1,0,0,1,1,1,0,0,1,0,0.5,1,0,1,1,0.333333,0,0,0,0,0,0,0.5,0,0,0.5,0.666667,0.2,0,0,0,1,0.5,1,0,0.5,1,1,0,0,1,1,0,1,1,1,0.333333,1,0.5,1,0,0,0.5,0,0,0,0.5,1,0,0.5,1,0,0,0.666667,0,0,0,0,0,0.5,0.666667,0.5,0,0.5,0,0,0,1,0.5,0.25,0.5,0,1,1,0] precision 0.595625 [0,0.666667,0,0,0,1,0.25,0,1,0,0.4,0.5,1,1,1,1,0,0.5,1,0.5,1,0,1,0.5,0,0.333333,1,0,0.666667,1,0,1,0,1,1,0.5,1,1,0.333333,0.5,1,0.666667,0,0,1,0.666667,0,1,1,1,0.5,0,0.333333,1,0.5,1,1,0,1,1,1,0,1,1,0,0.25,1,0,0,0.333333,0,0,1,1,1,1,1,1,0.666667,1,1,0,1,0.5,0,1,0,0,1,0,0.333333,0,0.5,1,0.333333,0,0,1,1,0.666667] precision 0.56 [0,1,0.2,0,0,0,0.2,1,1,1,1,0.333333,0,1,1,0,0,0.666667,0.5,0.333333,1,0,0,1,0,0.25,0,0,0.5,1,0,1,0,1,0,0.333333,1,0.5,0,0.5,0.5,0,0,0,1,1,0,1,0,1,0.5,0.333333,0,0,0.333333,0.333333,1,0,1,1,1,1,1,1,0.5,0.5,0,1,0,0,0,0,0.666667,0,0.5,1,0,1,1,1,1,0.5,0.5,0.5,1,0,0,1,0.5,0.5,1,0,0.666667,1,0,0.666667,0.666667,1,1,1] precision 0.528264 [0,1,0,1,0,1,0.5,1,0,0,1,0.111111,1,0.333333,0.5,0,0,1,1,0.5,1,0,0.5,1,0,0,0.333333,0,1,1,0,1,0,1,1,0,1,0.666667,0,0.666667,0,0,0,0,1,1,0,1,0.5,0,1,0,0.666667,0.5,0.5,0,1,0,0.333333,1,1,1,0.5,0.5,0,1,0.5,0.333333,1,0,0,0,0.5,0,0,0,0.5,0,0.666667,0,0.5,0.5,1,0,1,0,0,1,1,0.4,0.5,0,1,1,1,0.5,1,0,0.333333,1] precision 0.578646 [0.333333,1,1,0,0.5,1,0.666667,0.5,0,1,1,1,1,1,0,0.5,1,1,1,1,0.5,0.5,0.333333,0.666667,0,0.5,0.5,0,0,0.5,1,0.333333,0,1,0,0.333333,0,1,1,1,1,1,0,1,0,0,0.25,0,0.5,0.5,0,0.5,0,0.333333,0,0.5,0,1,1,0.666667,0,1,0.666667,1,1,1,0,1,0.5,0,0.5,0,1,0.666667,1,0.666667,0.5,0.666667,1,0,1,0.5,0.333333,0.333333,1,0,0.5,1,0,1,0.5,0,0.5,1,1,1,1,0,1,0] precision 0.46174 [1,1,0,0,0,0.666667,0.333333,1,0.5,1,0,0,0,0.5,0.333333,1,0,0,0,0.666667,0,0.5,0.5,0.666667,0,0.25,0.333333,0,0.5,0.5,1,0.5,0.333333,0,0,0.25,1,0.5,0.5,0,0,0,0,0,1,0,0,1,0,0.666667,0,0,0,1,0,0.5,0.666667,0,1,1,1,0,0.5,1,0.666667,0.5,0,1,0.5,0,0.5,0,1,0.25,0,1,0.666667,1,0,0,0.666667,0,1,0.5,1,1,0,1,1,0,1,0,1,1,0,0.666667,0.5,1,0,0.666667] predictive_accuracy 0.4625 predictive_accuracy 0.53125 predictive_accuracy 0.55625 predictive_accuracy 0.51875 predictive_accuracy 0.4625 predictive_accuracy 0.575 predictive_accuracy 0.525 predictive_accuracy 0.51875 predictive_accuracy 0.58125 predictive_accuracy 0.503145 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 0.4625 [0,1,0,0.5,0,0,0,1,0.5,0,0,0.5,1,1,0,1,0.5,1,1,0,1,0,1,0.5,0,1,0,0,1,0,0.5,0.5,0,1,0,0,1,0,0,1,0.5,1,0,0,1,1,0,0,0,1,1,1,0,0.5,1,0.5,1,0,0,1,1,0.5,1,0,0.5,1,0.5,0,0,0,0,0,0,1,0.5,0,1,0.5,1,0,0,1,0,0.5,0,1,0,0,0.5,1,0.5,0.5,1,1,0.5,0.5,0,1,0.5,1] recall 0.53125 [1,1,1,0.5,0.5,0,0.5,1,0.5,0.5,1,1,1,1,0.5,0,0,1,1,0.5,1,0,1,1,0,0.5,0,0,1,1,0.5,0.5,1,1,0,0,0,1,0,0.5,0,1,0,0,0,1,0.5,1,1,1,1,0.5,1,0.5,0,1,1,0,0,1,1,0.5,1,1,0.5,0.5,0.5,0,1,0,1,0,1,0,1,0.5,0,0,0,1,0,0.5,0,0,0,0,0,0.5,1,1,0,0.5,1,1,0.5,0.5,1,1,0.5,1] recall 0.55625 [0.5,1,0,0.5,0.5,1,1,1,1,1,1,1,1,0.5,1,0.5,1,0,1,0,1,0.5,0.5,1,0,0,1,0,1,1,0.5,1,0,0.5,0.5,0,1,1,1,0,0.5,1,0,0.5,1,0.5,0.5,1,0.5,0,0,0,1,1,1,0.5,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1,0,1,1,0.5,0.5,0.5,1,0,0,0,0,1,0,0,0.5,0,1,0.5,0,1,0,1,1,1,1,0,1,0,1] recall 0.51875 [0.5,0,0.5,1,0.5,0,1,0.5,1,1,0,1,1,0.5,0.5,0,0,1,0.5,1,0.5,0.5,0,0,0,0.5,1,0,0.5,1,0.5,1,0,1,0.5,1,1,1,0,1,1,0,0,0,0.5,0.5,1,0.5,1,0,1,0.5,0,0,0,0.5,1,0,1,1,0.5,1,1,1,0.5,0,1,1,1,0,1,0.5,1,0,0,0.5,0,0,0.5,0.5,1,0,0,0,0,1,0,1,0.5,1,1,0,1,1,0,1,0.5,0.5,0.5,1] recall 0.4625 [0.5,1,0.5,0,0,1,0,0.5,0,0,1,1,1,1,0,1,0,0,1,1,1,0,0,1,0,0.5,0.5,0,1,1,1,0,0,0,0,0,0,0.5,0,0,0.5,1,0.5,0,0,0,0.5,0.5,1,0,1,0.5,1,0,0,0.5,1,0,1,0.5,1,1,0.5,0.5,1,0,0,1,0,0,0,1,1,0,0.5,1,0,0,1,0,0,0,0,0,1,1,0.5,0,1,0,0,0,1,1,1,1,0,1,0.5,0] recall 0.575 [0,1,0,0,0,1,1,0,1,0,1,1,1,0.5,1,1,0,0.5,0.5,1,0.5,0,0.5,1,0,0.5,0.5,0,1,0.5,0,1,0,1,0.5,1,0.5,1,1,1,1,1,0,0,0.5,1,0,1,1,1,0.5,0,0.5,1,0.5,0.5,1,0,1,1,1,0,0.5,1,0,1,1,0,0,0.5,0,0,1,1,1,1,1,1,1,0.5,0.5,0,0.5,1,0,1,0,0,1,0,1,0,0.5,0.5,1,0,0,1,0.5,1] recall 0.525 [0,0.5,0.5,0,0,0,1,1,0.5,1,0.5,0.5,0,1,1,0,0,1,1,0.5,0.5,0,0,1,0,0.5,0,0,1,0.5,0,1,0,0.5,0,0.5,0.5,0.5,0,1,1,0,0,0,0.5,0.5,0,1,0,0.5,0.5,1,0,0,0.5,1,0.5,0,1,1,0.5,1,1,0.5,1,1,0,0.5,0,0,0,0,1,0,1,1,0,0.5,1,0.5,0.5,1,0.5,1,0.5,0,0,1,1,0.5,0.5,0,1,1,0,1,1,1,1,1] recall 0.51875 [0,1,0,1,0,0.5,1,0.5,0,0,0.5,0.5,1,1,1,0,0,0.5,1,0.5,1,0,1,1,0,0,0.5,0,1,1,0,1,0,0.5,0.5,0,1,1,0,1,0,0,0,0,1,1,0,1,0.5,0,1,0,1,1,0.5,0,1,0,0.5,0.5,1,1,0.5,0.5,0,0.5,1,0.5,0.5,0,0,0,0.5,0,0,0,1,0,1,0,0.5,1,0.5,0,0.5,0,0,1,1,1,1,0,0.5,1,1,0.5,1,0,1,0.5] recall 0.58125 [1,1,1,0,0.5,0.5,1,0.5,0,1,1,1,0.5,1,0,0.5,1,1,1,1,1,0.5,1,1,0,1,0.5,0,0,1,0.5,0.5,0,1,0,0.5,0,1,1,1,1,0.5,0,1,0,0,1,0,0.5,0.5,0,1,0,0.5,0,1,0,0.5,1,1,0,1,1,0.5,0.5,1,0,0.5,0.5,0,0.5,0,1,1,1,1,0.5,1,1,0,0.5,1,0.5,0.5,0.5,0,1,1,0,1,0.5,0,1,1,0.5,0.5,1,0,1,0] recall 0.503145 [1,1,0,0,0,1,0.5,1,0.5,1,0,0,0,1,0.5,1,0,0,0,1,0,0.5,1,1,0,1,0.5,0,1,1,0.5,1,1,0,0,0.5,0.5,1,0.5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0.5,0,1,1,0,0.5,0.5,1,0,0.5,1,1,0.5,0,0.5,1,0,0.5,0,1,0.5,0,1,1,1,0,0,1,0,0.5,0.5,1,1,0,0.5,1,0,1,0,1,0.5,0,1,1,1,0,1] relative_absolute_error 0.568069 relative_absolute_error 0.498838 relative_absolute_error 0.477068 relative_absolute_error 0.506177 relative_absolute_error 0.554073 relative_absolute_error 0.440439 relative_absolute_error 0.509376 relative_absolute_error 0.500808 relative_absolute_error 0.451109 relative_absolute_error 0.524846 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 0.098 root_mean_squared_error 0.091691 root_mean_squared_error 0.08976 root_mean_squared_error 0.092394 root_mean_squared_error 0.097793 root_mean_squared_error 0.086224 root_mean_squared_error 0.091972 root_mean_squared_error 0.092306 root_mean_squared_error 0.088609 root_mean_squared_error 0.095369 root_relative_squared_error 0.984933 root_relative_squared_error 0.921527 root_relative_squared_error 0.90212 root_relative_squared_error 0.928591 root_relative_squared_error 0.982856 root_relative_squared_error 0.866589 root_relative_squared_error 0.924356 root_relative_squared_error 0.927716 root_relative_squared_error 0.890552 root_relative_squared_error 0.9585 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 usercpu_time_millis 520 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis_testing 20 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_training 500 usercpu_time_millis_training 250 usercpu_time_millis_training 260 usercpu_time_millis_training 250 usercpu_time_millis_training 250 usercpu_time_millis_training 260 usercpu_time_millis_training 260 usercpu_time_millis_training 250 usercpu_time_millis_training 250 usercpu_time_millis_training 250