91 1 Jan van Rijn 16 Supervised Classification 61 weka.REPTree(1) 6 weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 I 0.0 61 L -1 61 M 2 61 N 3 61 S 1 61 V 0.001 61 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 243 description https://api.openml.org/data/download/243/weka_generated_run4351734841771945005.xml -1 244 predictions https://api.openml.org/data/download/244/weka_generated_predictions2250716410484316145.arff area_under_roc_curve 0.93533 [0.962394,0.961624,0.961263,0.938533,0.955211,0.897675,0.941939,0.968426,0.875542,0.890689] average_cost 0 f_measure 0.771576 [0.804878,0.824645,0.860759,0.768116,0.803069,0.675192,0.792929,0.839506,0.639344,0.707317] kappa 0.747778 kb_relative_information_score 1476.053885 mean_absolute_error 0.05994 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ] precision 0.772296 [0.785714,0.783784,0.871795,0.742991,0.82199,0.691099,0.80102,0.829268,0.704819,0.690476] predictive_accuracy 0.773 prior_entropy 3.321928 recall 0.773 [0.825,0.87,0.85,0.795,0.785,0.66,0.785,0.85,0.585,0.725] relative_absolute_error 0.333001 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.191028 root_relative_squared_error 0.636761 scimark_benchmark 1989.162767081776 [ 1243.6653108650207, 1622.698954105263, 905.7290600406541, 1678.7960796991422, 4494.924430698801 ] total_cost 0 area_under_roc_curve 0.910556 [0.93625,0.924444,0.955,0.918056,0.926944,0.86875,0.943056,0.938472,0.7925,0.902083] area_under_roc_curve 0.92575 [0.984444,0.993472,0.991944,0.855833,0.956944,0.839583,0.959444,0.924167,0.900833,0.850833] area_under_roc_curve 0.951347 [0.959861,0.997917,0.95875,0.962917,0.989444,0.878194,0.99125,0.989583,0.891111,0.894444] area_under_roc_curve 0.951 [0.953611,0.9975,0.987083,0.918889,0.950278,0.946111,0.950833,0.990278,0.933889,0.881528] area_under_roc_curve 0.931625 [0.952917,0.949722,0.964444,0.902639,0.92,0.928472,0.933611,0.975556,0.90875,0.880139] area_under_roc_curve 0.909792 [0.964583,0.955278,0.960417,0.952639,0.945139,0.831806,0.915278,0.974861,0.803889,0.794028] area_under_roc_curve 0.931431 [0.958333,0.924306,0.883333,0.986944,0.971944,0.917361,0.865139,0.971111,0.911806,0.924028] area_under_roc_curve 0.946153 [0.967917,0.933056,0.96125,0.988333,0.984306,0.901389,0.989306,0.949167,0.882778,0.904028] area_under_roc_curve 0.945236 [0.982361,0.950833,0.964722,0.949306,0.958889,0.889028,0.946528,0.998472,0.871389,0.940833] area_under_roc_curve 0.939458 [0.93125,0.982222,0.993889,0.938472,0.940417,0.96,0.924167,0.981806,0.830556,0.911806] 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 build_cpu_time 0.175 build_cpu_time 0.173 build_cpu_time 0.17 build_cpu_time 0.18 build_cpu_time 0.174 build_cpu_time 0.174 build_cpu_time 0.173 build_cpu_time 0.177 build_cpu_time 0.173 build_cpu_time 0.178 f_measure 0.719188 [0.731707,0.744186,0.9,0.711111,0.789474,0.625,0.65,0.833333,0.484848,0.722222] f_measure 0.799658 [0.8,0.883721,0.864865,0.75,0.894737,0.684211,0.857143,0.761905,0.7,0.8] f_measure 0.81929 [0.842105,0.930233,0.878049,0.810811,0.871795,0.666667,0.883721,0.9,0.666667,0.742857] f_measure 0.82438 [0.820513,0.97561,0.842105,0.744186,0.833333,0.756757,0.883721,0.878049,0.809524,0.7] f_measure 0.744609 [0.75,0.731707,0.947368,0.666667,0.727273,0.666667,0.717949,0.844444,0.742857,0.651163] f_measure 0.731683 [0.844444,0.809524,0.8,0.809524,0.75,0.647059,0.742857,0.809524,0.484848,0.619048] f_measure 0.744194 [0.857143,0.681818,0.722222,0.878049,0.755556,0.722222,0.780488,0.761905,0.571429,0.711111] f_measure 0.784449 [0.8,0.837209,0.842105,0.871795,0.820513,0.634146,0.857143,0.85,0.648649,0.682927] f_measure 0.803624 [0.878049,0.864865,0.878049,0.744186,0.857143,0.588235,0.864865,0.95,0.666667,0.744186] f_measure 0.740067 [0.744186,0.8,0.926829,0.714286,0.731707,0.769231,0.647059,0.810811,0.545455,0.711111] kappa 0.688889 kappa 0.777778 kappa 0.8 kappa 0.805556 kappa 0.716667 kappa 0.711111 kappa 0.716667 kappa 0.761111 kappa 0.783333 kappa 0.716667 kb_relative_information_score 136.853264 kb_relative_information_score 152.286392 kb_relative_information_score 156.129519 kb_relative_information_score 155.226669 kb_relative_information_score 143.598984 kb_relative_information_score 141.795141 kb_relative_information_score 144.085092 kb_relative_information_score 150.498531 kb_relative_information_score 153.582801 kb_relative_information_score 141.997494 mean_absolute_error 0.069342 mean_absolute_error 0.054036 mean_absolute_error 0.05186 mean_absolute_error 0.054406 mean_absolute_error 0.064586 mean_absolute_error 0.066407 mean_absolute_error 0.063755 mean_absolute_error 0.057309 mean_absolute_error 0.053878 mean_absolute_error 0.063823 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.733437 [0.714286,0.695652,0.9,0.64,0.833333,0.535714,0.65,0.9375,0.615385,0.8125] precision 0.802938 [0.8,0.826087,0.941176,0.75,0.944444,0.722222,0.818182,0.727273,0.7,0.8] precision 0.830687 [0.888889,0.869565,0.857143,0.882353,0.894737,0.571429,0.826087,0.9,0.75,0.866667] precision 0.829601 [0.842105,0.952381,0.888889,0.695652,0.9375,0.823529,0.826087,0.857143,0.772727,0.7] precision 0.763879 [0.642857,0.714286,1,0.636364,0.923077,0.75,0.736842,0.76,0.866667,0.608696] precision 0.740686 [0.76,0.772727,0.72,0.772727,0.75,0.785714,0.866667,0.772727,0.615385,0.590909] precision 0.758299 [1,0.625,0.8125,0.857143,0.68,0.8125,0.761905,0.727273,0.666667,0.64] precision 0.786812 [0.8,0.782609,0.888889,0.894737,0.842105,0.619048,0.818182,0.85,0.705882,0.666667] precision 0.810677 [0.857143,0.941176,0.857143,0.695652,0.818182,0.714286,0.941176,0.95,0.636364,0.695652] precision 0.750637 [0.695652,0.72,0.904762,0.681818,0.714286,0.789474,0.785714,0.882353,0.692308,0.64] predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.82 predictive_accuracy 0.825 predictive_accuracy 0.745 predictive_accuracy 0.74 predictive_accuracy 0.745 predictive_accuracy 0.785 predictive_accuracy 0.805 predictive_accuracy 0.745 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.72 [0.75,0.8,0.9,0.8,0.75,0.75,0.65,0.75,0.4,0.65] recall 0.8 [0.8,0.95,0.8,0.75,0.85,0.65,0.9,0.8,0.7,0.8] recall 0.82 [0.8,1,0.9,0.75,0.85,0.8,0.95,0.9,0.6,0.65] recall 0.825 [0.8,1,0.8,0.8,0.75,0.7,0.95,0.9,0.85,0.7] recall 0.745 [0.9,0.75,0.9,0.7,0.6,0.6,0.7,0.95,0.65,0.7] recall 0.74 [0.95,0.85,0.9,0.85,0.75,0.55,0.65,0.85,0.4,0.65] recall 0.745 [0.75,0.75,0.65,0.9,0.85,0.65,0.8,0.8,0.5,0.8] recall 0.785 [0.8,0.9,0.8,0.85,0.8,0.65,0.9,0.85,0.6,0.7] recall 0.805 [0.9,0.8,0.9,0.8,0.9,0.5,0.8,0.95,0.7,0.8] recall 0.745 [0.8,0.9,0.95,0.75,0.75,0.75,0.55,0.75,0.45,0.8] relative_absolute_error 0.385236 relative_absolute_error 0.300202 relative_absolute_error 0.288111 relative_absolute_error 0.302253 relative_absolute_error 0.358813 relative_absolute_error 0.368926 relative_absolute_error 0.354194 relative_absolute_error 0.318383 relative_absolute_error 0.29932 relative_absolute_error 0.354575 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.214415 root_mean_squared_error 0.181298 root_mean_squared_error 0.170706 root_mean_squared_error 0.170808 root_mean_squared_error 0.200922 root_mean_squared_error 0.200696 root_mean_squared_error 0.202192 root_mean_squared_error 0.1857 root_mean_squared_error 0.175577 root_mean_squared_error 0.20228 root_relative_squared_error 0.714717 root_relative_squared_error 0.604326 root_relative_squared_error 0.569021 root_relative_squared_error 0.56936 root_relative_squared_error 0.669741 root_relative_squared_error 0.668986 root_relative_squared_error 0.673975 root_relative_squared_error 0.618999 root_relative_squared_error 0.585257 root_relative_squared_error 0.674265 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