12297 2 Joaquin Vanschoren 14 Supervised Classification 60 weka.J48(1) 84 weka.classifiers.trees.J48 -- -C 0.25 -M 5 C 0.25 60 M 5 60 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 24939 description https://api.openml.org/data/download/24939/weka_generated_run920804069984114464.xml -1 24940 predictions https://api.openml.org/data/download/24940/weka_generated_predictions822317029934224400.arff area_under_roc_curve 0.917486 [0.986621,0.888404,0.965675,0.920876,0.872156,0.935171,0.839165,0.937618,0.978533,0.850643] average_cost 0 f_measure 0.755723 [0.965,0.711443,0.907731,0.790244,0.660099,0.794937,0.439306,0.826733,0.923457,0.538283] kappa 0.731667 kb_relative_information_score 1517.356246 mean_absolute_error 0.054257 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 0.755897 [0.965,0.707921,0.905473,0.771429,0.650485,0.805128,0.520548,0.818627,0.912195,0.502165] predictive_accuracy 0.7585 prior_entropy 3.321928 recall 0.7585 [0.965,0.715,0.91,0.81,0.67,0.785,0.38,0.835,0.935,0.58] relative_absolute_error 0.301426 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.196575 root_relative_squared_error 0.65525 scimark_benchmark 936.954288 [558.87235220088451015.7907504114269445.9060745024889909.27509318503251754.9271701211055] total_cost 0 area_under_roc_curve 0.929444 [0.997222,0.867917,0.985833,0.949306,0.93625,0.968889,0.853611,0.916111,0.995417,0.823889] area_under_roc_curve 0.916208 [0.972639,0.846528,0.957083,0.946806,0.911528,0.985694,0.802083,0.933056,0.965417,0.84125] area_under_roc_curve 0.914806 [0.975,0.892083,0.915,0.858472,0.884028,0.963889,0.896944,0.895694,1,0.866944] area_under_roc_curve 0.918736 [0.989444,0.91625,0.994167,0.987639,0.910694,0.86625,0.8575,0.887361,0.974583,0.803472] area_under_roc_curve 0.905972 [0.997222,0.8225,0.919444,0.933194,0.804861,0.931528,0.8175,0.926667,0.996806,0.91] area_under_roc_curve 0.9385 [1,0.953194,0.999444,0.910556,0.907917,0.935139,0.7675,0.989722,0.999861,0.921667] area_under_roc_curve 0.900028 [0.974722,0.904583,0.920833,0.879583,0.710417,0.84625,0.962778,0.906111,1,0.895] area_under_roc_curve 0.915472 [0.96875,0.864861,0.997222,0.89875,0.843472,0.991111,0.885556,0.98625,0.940417,0.778333] area_under_roc_curve 0.935778 [0.997361,0.92125,0.996944,0.967083,0.938194,0.933889,0.783056,0.965278,1,0.854722] area_under_roc_curve 0.899472 [1,0.894167,0.969167,0.882917,0.895278,0.941944,0.7475,0.963611,0.910139,0.79] 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 1.232 build_cpu_time 0.986 build_cpu_time 0.734 build_cpu_time 0.719 build_cpu_time 0.751 build_cpu_time 0.687 build_cpu_time 0.726 build_cpu_time 0.751 build_cpu_time 0.742 build_cpu_time 0.764 build_memory 426389968 build_memory 547143744 build_memory 583083896 build_memory 632731416 build_memory 667847544 build_memory 701674032 build_memory 735651824 build_memory 774297112 build_memory 808113216 build_memory 415585864 f_measure 0.75937 [0.97561,0.697674,0.9,0.820513,0.681818,0.894737,0.368421,0.842105,0.9,0.512821] f_measure 0.741374 [0.974359,0.585366,0.894737,0.769231,0.666667,0.809524,0.486486,0.780488,0.923077,0.52381] f_measure 0.756281 [0.974359,0.7,0.85,0.7,0.772727,0.85,0.5,0.833333,0.869565,0.512821] f_measure 0.754849 [0.95,0.790698,0.95,0.790698,0.619048,0.65,0.55,0.8,0.974359,0.473684] f_measure 0.73064 [0.97561,0.486486,0.820513,0.780488,0.5,0.727273,0.684211,0.772727,0.909091,0.65] f_measure 0.7864 [1,0.864865,0.930233,0.8,0.651163,0.810811,0.4,0.818182,0.952381,0.636364] f_measure 0.73594 [0.947368,0.75,0.918919,0.744186,0.55,0.65,0.413793,0.809524,0.97561,0.6] f_measure 0.75775 [0.95,0.75,0.97561,0.829268,0.6,0.871795,0.352941,0.904762,0.864865,0.478261] f_measure 0.799921 [0.974359,0.8,0.952381,0.95,0.75,0.842105,0.296296,0.857143,1,0.576923] f_measure 0.722796 [0.930233,0.682927,0.878049,0.727273,0.769231,0.864865,0.27027,0.85,0.864865,0.390244] kappa 0.733333 kappa 0.711111 kappa 0.733333 kappa 0.727778 kappa 0.711111 kappa 0.772222 kappa 0.711111 kappa 0.733333 kappa 0.788889 kappa 0.694444 kb_relative_information_score 153.540198 kb_relative_information_score 145.409077 kb_relative_information_score 151.424994 kb_relative_information_score 151.315313 kb_relative_information_score 147.844499 kb_relative_information_score 157.428233 kb_relative_information_score 150.09296 kb_relative_information_score 151.536568 kb_relative_information_score 161.108207 kb_relative_information_score 147.656198 mean_absolute_error 0.052454 mean_absolute_error 0.05798 mean_absolute_error 0.054445 mean_absolute_error 0.053304 mean_absolute_error 0.056231 mean_absolute_error 0.048984 mean_absolute_error 0.05784 mean_absolute_error 0.056022 mean_absolute_error 0.047666 mean_absolute_error 0.05764 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 0.76202 [0.952381,0.652174,0.9,0.842105,0.625,0.944444,0.388889,0.888889,0.9,0.526316] precision 0.745312 [1,0.571429,0.944444,0.789474,0.636364,0.772727,0.529412,0.761905,0.947368,0.5] precision 0.760388 [1,0.7,0.85,0.7,0.708333,0.85,0.5625,0.9375,0.769231,0.526316] precision 0.76025 [0.95,0.73913,0.95,0.73913,0.590909,0.65,0.55,0.933333,1,0.5] precision 0.733302 [0.952381,0.529412,0.842105,0.761905,0.666667,0.666667,0.722222,0.708333,0.833333,0.65] precision 0.794421 [1,0.941176,0.869565,0.8,0.608696,0.882353,0.6,0.75,0.909091,0.583333] precision 0.753743 [1,0.75,1,0.695652,0.55,0.65,0.666667,0.772727,0.952381,0.5] precision 0.76131 [0.95,0.75,0.952381,0.809524,0.6,0.894737,0.428571,0.863636,0.941176,0.423077] precision 0.815634 [1,0.8,0.909091,0.95,0.75,0.888889,0.571429,0.818182,1,0.46875] precision 0.725694 [0.869565,0.666667,0.857143,0.666667,0.789474,0.941176,0.294118,0.85,0.941176,0.380952] predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.755 predictive_accuracy 0.74 predictive_accuracy 0.795 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.81 predictive_accuracy 0.725 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 [1,0.75,0.9,0.8,0.75,0.85,0.35,0.8,0.9,0.5] recall 0.74 [0.95,0.6,0.85,0.75,0.7,0.85,0.45,0.8,0.9,0.55] recall 0.76 [0.95,0.7,0.85,0.7,0.85,0.85,0.45,0.75,1,0.5] recall 0.755 [0.95,0.85,0.95,0.85,0.65,0.65,0.55,0.7,0.95,0.45] recall 0.74 [1,0.45,0.8,0.8,0.4,0.8,0.65,0.85,1,0.65] recall 0.795 [1,0.8,1,0.8,0.7,0.75,0.3,0.9,1,0.7] recall 0.74 [0.9,0.75,0.85,0.8,0.55,0.65,0.3,0.85,1,0.75] recall 0.76 [0.95,0.75,1,0.85,0.6,0.85,0.3,0.95,0.8,0.55] recall 0.81 [0.95,0.8,1,0.95,0.75,0.8,0.2,0.9,1,0.75] recall 0.725 [1,0.7,0.9,0.8,0.75,0.8,0.25,0.85,0.8,0.4] relative_absolute_error 0.291411 relative_absolute_error 0.322113 relative_absolute_error 0.302473 relative_absolute_error 0.296135 relative_absolute_error 0.312393 relative_absolute_error 0.272133 relative_absolute_error 0.321333 relative_absolute_error 0.311233 relative_absolute_error 0.264811 relative_absolute_error 0.320224 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 0.196035 root_mean_squared_error 0.210149 root_mean_squared_error 0.196703 root_mean_squared_error 0.197295 root_mean_squared_error 0.204244 root_mean_squared_error 0.183563 root_mean_squared_error 0.202314 root_mean_squared_error 0.196735 root_mean_squared_error 0.170624 root_mean_squared_error 0.205057 root_relative_squared_error 0.653451 root_relative_squared_error 0.700498 root_relative_squared_error 0.655676 root_relative_squared_error 0.657651 root_relative_squared_error 0.680815 root_relative_squared_error 0.611875 root_relative_squared_error 0.67438 root_relative_squared_error 0.655785 root_relative_squared_error 0.568747 root_relative_squared_error 0.683524 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