11077 2 Joaquin Vanschoren 14 Supervised Classification 60 weka.J48(1) 172 weka.classifiers.trees.J48 -- -C 0.9 -M 10 C 0.9 60 M 10 60 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 22499 description https://api.openml.org/data/download/22499/weka_generated_run4088404945066188475.xml -1 22500 predictions https://api.openml.org/data/download/22500/weka_generated_predictions8833299719200233654.arff area_under_roc_curve 0.936984 [0.99216,0.910047,0.973283,0.927669,0.896553,0.955824,0.873894,0.968626,0.983097,0.888682] average_cost 0 f_measure 0.745826 [0.967581,0.696742,0.902256,0.746479,0.653367,0.809278,0.402299,0.837321,0.937028,0.50591] kappa 0.721111 kb_relative_information_score 1495.041707 mean_absolute_error 0.05959 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.745829 [0.965174,0.698492,0.904523,0.70354,0.651741,0.835106,0.472973,0.802752,0.944162,0.479821] predictive_accuracy 0.749 prior_entropy 3.321928 recall 0.749 [0.97,0.695,0.9,0.795,0.655,0.785,0.35,0.875,0.93,0.535] relative_absolute_error 0.331053 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.193709 root_relative_squared_error 0.645696 scimark_benchmark 944.764124 [560.30860489012831016.0585376856843478.28146046101085910.85475360997441758.3172656914378] total_cost 0 area_under_roc_curve 0.948347 [0.994444,0.915417,0.97875,0.894306,0.935972,0.965694,0.885972,0.956944,0.998333,0.957639] area_under_roc_curve 0.949889 [0.972361,0.914444,0.953611,0.951667,0.917917,0.976806,0.9625,0.951806,0.972361,0.925417] area_under_roc_curve 0.916056 [1,0.81625,0.962222,0.886667,0.935833,0.982361,0.794722,0.940417,0.999167,0.842917] area_under_roc_curve 0.951389 [0.99125,0.935556,0.993889,0.982222,0.949167,0.929028,0.910417,0.990556,0.972778,0.859028] area_under_roc_curve 0.921514 [0.997222,0.933611,0.965833,0.943889,0.852917,0.893889,0.837222,0.912222,0.996528,0.881806] area_under_roc_curve 0.934931 [1,0.956806,0.996389,0.9075,0.920139,0.957639,0.789167,0.986389,0.999583,0.835694] area_under_roc_curve 0.923611 [0.9975,0.970556,0.938472,0.915694,0.749861,0.917917,0.93625,0.980833,0.972083,0.856944] area_under_roc_curve 0.927194 [0.96875,0.841667,0.997222,0.887639,0.868611,0.982639,0.904167,0.990556,0.935139,0.895556] area_under_roc_curve 0.955792 [0.997083,0.902083,0.996528,0.987917,0.897222,0.982222,0.891806,0.986667,1,0.916389] area_under_roc_curve 0.938486 [0.991667,0.904306,0.958889,0.92625,0.943056,0.970556,0.797361,0.99375,0.988333,0.910694] 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 0.911 build_cpu_time 0.93 build_cpu_time 0.71 build_cpu_time 0.709 build_cpu_time 0.701 build_cpu_time 0.675 build_cpu_time 0.656 build_cpu_time 0.696 build_cpu_time 0.651 build_cpu_time 0.638 build_memory 622493936 build_memory 741069336 build_memory 773539936 build_memory 178542648 build_memory 212712296 build_memory 247862032 build_memory 277460232 build_memory 310484392 build_memory 340072776 build_memory 367669856 f_measure 0.749857 [0.952381,0.682927,0.9,0.744186,0.625,0.894737,0.285714,0.742857,0.947368,0.723404] f_measure 0.752545 [0.947368,0.666667,0.864865,0.833333,0.619048,0.731707,0.545455,0.8,0.904762,0.612245] f_measure 0.765063 [1,0.651163,0.918919,0.75,0.8,0.923077,0.4,0.810811,0.97561,0.421053] f_measure 0.786047 [0.974359,0.702703,0.95,0.77551,0.711111,0.810811,0.615385,0.9,0.95,0.470588] f_measure 0.681934 [0.97561,0.6,0.894737,0.666667,0.484848,0.75,0.30303,0.75,0.95,0.444444] f_measure 0.734229 [1,0.744186,0.923077,0.755556,0.631579,0.777778,0.30303,0.844444,0.952381,0.410256] f_measure 0.701467 [0.974359,0.756757,0.829268,0.697674,0.571429,0.636364,0.30303,0.863636,0.947368,0.434783] f_measure 0.737348 [0.95,0.7,0.930233,0.666667,0.594595,0.842105,0.5,0.837209,0.864865,0.487805] f_measure 0.795135 [0.974359,0.736842,0.926829,0.809524,0.761905,0.810811,0.451613,0.883721,1,0.595745] f_measure 0.741144 [0.930233,0.736842,0.883721,0.780488,0.666667,0.947368,0.285714,0.930233,0.871795,0.378378] kappa 0.733333 kappa 0.722222 kappa 0.738889 kappa 0.766667 kappa 0.655556 kappa 0.716667 kappa 0.672222 kappa 0.711111 kappa 0.777778 kappa 0.716667 kb_relative_information_score 152.186712 kb_relative_information_score 149.256467 kb_relative_information_score 146.183683 kb_relative_information_score 154.657022 kb_relative_information_score 142.898187 kb_relative_information_score 148.304719 kb_relative_information_score 145.812908 kb_relative_information_score 148.168557 kb_relative_information_score 157.350527 kb_relative_information_score 150.222925 mean_absolute_error 0.058508 mean_absolute_error 0.061209 mean_absolute_error 0.06184 mean_absolute_error 0.052777 mean_absolute_error 0.065472 mean_absolute_error 0.059624 mean_absolute_error 0.065358 mean_absolute_error 0.059974 mean_absolute_error 0.052874 mean_absolute_error 0.05826 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 0.764786 [0.909091,0.666667,0.9,0.695652,0.535714,0.944444,0.5,0.866667,1,0.62963] precision 0.769342 [1,0.636364,0.941176,0.9375,0.590909,0.714286,0.692308,0.8,0.863636,0.517241] precision 0.770524 [1,0.608696,1,0.75,0.72,0.947368,0.4,0.882353,0.952381,0.444444] precision 0.794524 [1,0.764706,0.95,0.655172,0.64,0.882353,0.631579,0.9,0.95,0.571429] precision 0.687605 [0.952381,0.6,0.944444,0.636364,0.615385,0.75,0.384615,0.642857,0.95,0.4] precision 0.733945 [1,0.695652,0.947368,0.68,0.666667,0.875,0.384615,0.76,0.909091,0.421053] precision 0.709612 [1,0.823529,0.809524,0.652174,0.666667,0.583333,0.384615,0.791667,1,0.384615] precision 0.741799 [0.95,0.7,0.869565,0.6,0.647059,0.888889,0.5625,0.782609,0.941176,0.47619] precision 0.804586 [1,0.777778,0.904762,0.772727,0.727273,0.882353,0.636364,0.826087,1,0.518519] precision 0.743413 [0.869565,0.777778,0.826087,0.761905,0.75,1,0.272727,0.869565,0.894737,0.411765] predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.765 predictive_accuracy 0.79 predictive_accuracy 0.69 predictive_accuracy 0.745 predictive_accuracy 0.705 predictive_accuracy 0.74 predictive_accuracy 0.8 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 0.76 [1,0.7,0.9,0.8,0.75,0.85,0.2,0.65,0.9,0.85] recall 0.75 [0.9,0.7,0.8,0.75,0.65,0.75,0.45,0.8,0.95,0.75] recall 0.765 [1,0.7,0.85,0.75,0.9,0.9,0.4,0.75,1,0.4] recall 0.79 [0.95,0.65,0.95,0.95,0.8,0.75,0.6,0.9,0.95,0.4] recall 0.69 [1,0.6,0.85,0.7,0.4,0.75,0.25,0.9,0.95,0.5] recall 0.745 [1,0.8,0.9,0.85,0.6,0.7,0.25,0.95,1,0.4] recall 0.705 [0.95,0.7,0.85,0.75,0.5,0.7,0.25,0.95,0.9,0.5] recall 0.74 [0.95,0.7,1,0.75,0.55,0.8,0.45,0.9,0.8,0.5] recall 0.8 [0.95,0.7,0.95,0.85,0.8,0.75,0.35,0.95,1,0.7] recall 0.745 [1,0.7,0.95,0.8,0.6,0.9,0.3,1,0.85,0.35] relative_absolute_error 0.325047 relative_absolute_error 0.340051 relative_absolute_error 0.343554 relative_absolute_error 0.293205 relative_absolute_error 0.363731 relative_absolute_error 0.331242 relative_absolute_error 0.3631 relative_absolute_error 0.333188 relative_absolute_error 0.293742 relative_absolute_error 0.323669 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 0.186351 root_mean_squared_error 0.194905 root_mean_squared_error 0.199207 root_mean_squared_error 0.181488 root_mean_squared_error 0.20828 root_mean_squared_error 0.195554 root_mean_squared_error 0.203674 root_mean_squared_error 0.19785 root_mean_squared_error 0.173186 root_mean_squared_error 0.194041 root_relative_squared_error 0.621169 root_relative_squared_error 0.649682 root_relative_squared_error 0.664022 root_relative_squared_error 0.604961 root_relative_squared_error 0.694268 root_relative_squared_error 0.651848 root_relative_squared_error 0.678913 root_relative_squared_error 0.6595 root_relative_squared_error 0.577288 root_relative_squared_error 0.646803 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