182 1 Jan van Rijn 22 Supervised Classification 63 weka.HoeffdingTree(1) 8 weka.classifiers.trees.HoeffdingTree -- -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 E 1.0E-7 63 G 200.0 63 H 0.05 63 L 2 63 M 0.01 63 N 0.0 63 S 1 63 22 mfeat-zernike https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff -1 425 description https://api.openml.org/data/download/425/weka_generated_run669956525883183555.xml -1 426 predictions https://api.openml.org/data/download/426/weka_generated_predictions5721024212871474741.arff area_under_roc_curve 0.952119 [0.980451,0.989417,0.983828,0.961606,0.979126,0.924214,0.878706,0.987193,0.952531,0.884117] average_cost 0 f_measure 0.733457 [0.934726,0.869779,0.883375,0.780612,0.761446,0.622449,0.350617,0.907317,0.830467,0.393782] kappa 0.705 kb_relative_information_score 1516.107242 mean_absolute_error 0.053362 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 0.733432 [0.978142,0.855072,0.876847,0.796875,0.734884,0.635417,0.346341,0.885714,0.816425,0.408602] predictive_accuracy 0.7345 prior_entropy 3.321928 recall 0.7345 [0.895,0.885,0.89,0.765,0.79,0.61,0.355,0.93,0.845,0.38] relative_absolute_error 0.296457 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.202706 root_relative_squared_error 0.675688 scimark_benchmark 1980.8107992920181 [ 1227.9061859872404, 1607.1351179877536, 911.1089362303595, 1686.8983051584405, 4471.005451096297 ] total_cost 0 area_under_roc_curve 0.935583 [0.973333,0.994444,0.994722,0.925,0.985833,0.892222,0.846389,0.985417,0.883611,0.874861] area_under_roc_curve 0.962264 [1,0.996389,0.991111,0.956806,0.988611,0.935972,0.915694,0.970139,0.9675,0.900417] area_under_roc_curve 0.965486 [0.999167,0.962222,0.968472,0.976667,0.985556,0.970278,0.91625,0.996111,0.970556,0.909583] area_under_roc_curve 0.951847 [0.946111,0.998611,0.997222,0.9875,0.979167,0.92875,0.884722,1,0.9425,0.853889] area_under_roc_curve 0.962292 [0.999444,0.995,0.996944,0.960417,0.979167,0.939444,0.888194,0.970139,0.990278,0.903889] area_under_roc_curve 0.944889 [0.973472,0.964444,0.971389,0.970833,0.979861,0.910278,0.871389,0.989861,0.944722,0.872639] area_under_roc_curve 0.957319 [0.973472,0.995278,0.996111,0.936944,0.991111,0.90625,0.912639,0.993333,0.968611,0.899444] area_under_roc_curve 0.958042 [0.996944,0.991806,0.971667,0.979167,0.981667,0.956806,0.87,0.999167,0.938333,0.894861] area_under_roc_curve 0.957819 [0.970556,0.995833,0.9875,0.958056,0.9825,0.935417,0.884722,0.971111,0.965,0.9275] area_under_roc_curve 0.926292 [0.9725,0.999444,0.964167,0.971389,0.931111,0.876389,0.779306,0.998056,0.956806,0.81375] 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 0.207 build_cpu_time 0.218 build_cpu_time 0.195 build_cpu_time 0.197 build_cpu_time 0.195 build_cpu_time 0.194 build_cpu_time 0.195 build_cpu_time 0.197 build_cpu_time 0.197 build_cpu_time 0.194 f_measure 0.695435 [0.857143,0.883721,0.95,0.742857,0.780488,0.577778,0.216216,0.837209,0.736842,0.372093] f_measure 0.779499 [0.974359,0.9,0.842105,0.842105,0.878049,0.7,0.342857,0.926829,0.878049,0.510638] f_measure 0.76448 [0.918919,0.842105,0.842105,0.85,0.818182,0.682927,0.358974,0.926829,0.904762,0.5] f_measure 0.739316 [0.894737,0.904762,0.857143,0.8,0.75,0.604651,0.35,1,0.810811,0.421053] f_measure 0.735472 [0.974359,0.878049,0.930233,0.682927,0.769231,0.634146,0.380952,0.894737,0.857143,0.352941] f_measure 0.694452 [0.95,0.829268,0.904762,0.761905,0.780488,0.634146,0.216216,0.829268,0.833333,0.205128] f_measure 0.781885 [0.947368,0.842105,0.9,0.85,0.818182,0.647059,0.511628,0.952381,0.863636,0.486486] f_measure 0.720322 [0.95,0.829268,0.923077,0.685714,0.697674,0.594595,0.416667,0.952381,0.820513,0.333333] f_measure 0.742251 [0.923077,0.871795,0.829268,0.818182,0.73913,0.628571,0.571429,0.878049,0.818182,0.344828] f_measure 0.665116 [0.947368,0.909091,0.85,0.756757,0.555556,0.514286,0.095238,0.878049,0.772727,0.372093] kappa 0.661111 kappa 0.755556 kappa 0.738889 kappa 0.711111 kappa 0.711111 kappa 0.666667 kappa 0.761111 kappa 0.688889 kappa 0.727778 kappa 0.627778 kb_relative_information_score 145.495716 kb_relative_information_score 160.80933 kb_relative_information_score 157.86984 kb_relative_information_score 153.605229 kb_relative_information_score 153.160725 kb_relative_information_score 143.403457 kb_relative_information_score 162.149494 kb_relative_information_score 150.283433 kb_relative_information_score 152.361316 kb_relative_information_score 136.968701 mean_absolute_error 0.059776 mean_absolute_error 0.045196 mean_absolute_error 0.047997 mean_absolute_error 0.051761 mean_absolute_error 0.052719 mean_absolute_error 0.059083 mean_absolute_error 0.044038 mean_absolute_error 0.054835 mean_absolute_error 0.052612 mean_absolute_error 0.065604 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 0.706817 [1,0.826087,0.95,0.866667,0.761905,0.52,0.235294,0.782609,0.777778,0.347826] precision 0.784127 [1,0.9,0.888889,0.888889,0.857143,0.7,0.4,0.904762,0.857143,0.444444] precision 0.768126 [1,0.888889,0.888889,0.85,0.75,0.666667,0.368421,0.904762,0.863636,0.5] precision 0.741828 [0.944444,0.863636,0.818182,0.8,0.75,0.565217,0.35,1,0.882353,0.444444] precision 0.735673 [1,0.857143,0.869565,0.666667,0.789474,0.619048,0.363636,0.944444,0.818182,0.428571] precision 0.692423 [0.95,0.809524,0.863636,0.727273,0.761905,0.619048,0.235294,0.809524,0.9375,0.210526] precision 0.788303 [1,0.888889,0.9,0.85,0.75,0.785714,0.478261,0.909091,0.791667,0.529412] precision 0.728946 [0.95,0.809524,0.947368,0.8,0.652174,0.647059,0.357143,0.909091,0.842105,0.375] precision 0.749696 [0.947368,0.894737,0.809524,0.75,0.653846,0.733333,0.545455,0.857143,0.75,0.555556] precision 0.673607 [1,0.833333,0.85,0.823529,0.625,0.6,0.090909,0.857143,0.708333,0.347826] predictive_accuracy 0.695 predictive_accuracy 0.78 predictive_accuracy 0.765 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.7 predictive_accuracy 0.785 predictive_accuracy 0.72 predictive_accuracy 0.755 predictive_accuracy 0.665 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 0.695 [0.75,0.95,0.95,0.65,0.8,0.65,0.2,0.9,0.7,0.4] recall 0.78 [0.95,0.9,0.8,0.8,0.9,0.7,0.3,0.95,0.9,0.6] recall 0.765 [0.85,0.8,0.8,0.85,0.9,0.7,0.35,0.95,0.95,0.5] recall 0.74 [0.85,0.95,0.9,0.8,0.75,0.65,0.35,1,0.75,0.4] recall 0.74 [0.95,0.9,1,0.7,0.75,0.65,0.4,0.85,0.9,0.3] recall 0.7 [0.95,0.85,0.95,0.8,0.8,0.65,0.2,0.85,0.75,0.2] recall 0.785 [0.9,0.8,0.9,0.85,0.9,0.55,0.55,1,0.95,0.45] recall 0.72 [0.95,0.85,0.9,0.6,0.75,0.55,0.5,1,0.8,0.3] recall 0.755 [0.9,0.85,0.85,0.9,0.85,0.55,0.6,0.9,0.9,0.25] recall 0.665 [0.9,1,0.85,0.7,0.5,0.45,0.1,0.9,0.85,0.4] relative_absolute_error 0.332091 relative_absolute_error 0.251087 relative_absolute_error 0.266653 relative_absolute_error 0.287563 relative_absolute_error 0.292886 relative_absolute_error 0.328239 relative_absolute_error 0.244655 relative_absolute_error 0.304641 relative_absolute_error 0.292288 relative_absolute_error 0.364466 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 0.215844 root_mean_squared_error 0.182696 root_mean_squared_error 0.188736 root_mean_squared_error 0.201469 root_mean_squared_error 0.198047 root_mean_squared_error 0.218386 root_mean_squared_error 0.179092 root_mean_squared_error 0.204761 root_mean_squared_error 0.201855 root_mean_squared_error 0.230349 root_relative_squared_error 0.71948 root_relative_squared_error 0.608986 root_relative_squared_error 0.62912 root_relative_squared_error 0.671563 root_relative_squared_error 0.660157 root_relative_squared_error 0.727953 root_relative_squared_error 0.596973 root_relative_squared_error 0.682536 root_relative_squared_error 0.672848 root_relative_squared_error 0.767829 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