Task
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 288 Supervised Classification waveform-5000 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7859, kappa: 0.6791, kb_relative_information_score: 1092.1891, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7884, predictive_accuracy: 0.7861, prior_entropy: 1.5849, recall: 0.7861, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6581, scimark_benchmark: 851.2074, usercpu_time_millis: 4750, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 941.6675, usercpu_time_millis: 18000, usercpu_time_millis_testing: 6320, usercpu_time_millis_training: 11680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 938.191, usercpu_time_millis: 370, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8099, kappa: 0.7155, kb_relative_information_score: 1076.0691, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.81, predictive_accuracy: 0.8103, prior_entropy: 1.5849, recall: 0.8103, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.6247, scimark_benchmark: 941.6675, usercpu_time_millis: 1610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7694, kappa: 0.6546, kb_relative_information_score: 1070.8709, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7697, predictive_accuracy: 0.7697, prior_entropy: 1.5849, recall: 0.7697, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7247, scimark_benchmark: 927.2917, usercpu_time_millis: 11760, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 11670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 931.771, usercpu_time_millis: 3830, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 937.5117, usercpu_time_millis: 11250, usercpu_time_millis_testing: 3920, usercpu_time_millis_training: 7330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 974.2014, usercpu_time_millis: 22590, usercpu_time_millis_testing: 12260, usercpu_time_millis_training: 10330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 974.2014, usercpu_time_millis: 420, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 974.2014, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7694, kappa: 0.6546, kb_relative_information_score: 1070.8709, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7697, predictive_accuracy: 0.7697, prior_entropy: 1.5849, recall: 0.7697, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7247, scimark_benchmark: 938.5498, usercpu_time_millis: 13490, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 13400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 943.1009, usercpu_time_millis: 4110, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 819.5729, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7859, kappa: 0.6791, kb_relative_information_score: 1092.1891, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7884, predictive_accuracy: 0.7861, prior_entropy: 1.5849, recall: 0.7861, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6581, scimark_benchmark: 936.2574, usercpu_time_millis: 5150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 927.2882, usercpu_time_millis: 14460, usercpu_time_millis_testing: 5660, usercpu_time_millis_training: 8800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 933.3455, usercpu_time_millis: 280, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8099, kappa: 0.7155, kb_relative_information_score: 1076.0691, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.81, predictive_accuracy: 0.8103, prior_entropy: 1.5849, recall: 0.8103, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.6247, scimark_benchmark: 933.3455, usercpu_time_millis: 1780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 932.438, usercpu_time_millis: 270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 901.4991, usercpu_time_millis: 4140, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8667, kappa: 0.8009, kb_relative_information_score: 1128.3733, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8682, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5614, scimark_benchmark: 763.3895, usercpu_time_millis: 253980, usercpu_time_millis_testing: 72340, usercpu_time_millis_training: 181640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8708, kappa: 0.8073, kb_relative_information_score: 1125.9011, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8729, predictive_accuracy: 0.8715, prior_entropy: 1.5849, recall: 0.8715, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5646, scimark_benchmark: 943.2803, usercpu_time_millis: 100240, usercpu_time_millis_testing: 24510, usercpu_time_millis_training: 75730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8587, kappa: 0.7891, kb_relative_information_score: 1124.4585, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8601, predictive_accuracy: 0.8594, prior_entropy: 1.5849, recall: 0.8594, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.568, scimark_benchmark: 935.0213, usercpu_time_millis: 39560, usercpu_time_millis_testing: 7330, usercpu_time_millis_training: 32230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8607, kappa: 0.7918, kb_relative_information_score: 1122.4958, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8619, predictive_accuracy: 0.8612, prior_entropy: 1.5849, recall: 0.8612, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5781, scimark_benchmark: 911.2316, usercpu_time_millis: 18580, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 16060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8265, kappa: 0.7409, kb_relative_information_score: 1127.1299, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8274, predictive_accuracy: 0.8273, prior_entropy: 1.5849, recall: 0.8273, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5928, scimark_benchmark: 894.7131, usercpu_time_millis: 9260, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 8130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7915, kappa: 0.6872, kb_relative_information_score: 1022.3611, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7963, predictive_accuracy: 0.7915, prior_entropy: 1.5849, recall: 0.7915, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6571, scimark_benchmark: 936.1714, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7226, kappa: 0.5937, kb_relative_information_score: 531.7067, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7376, predictive_accuracy: 0.7291, prior_entropy: 1.5849, recall: 0.7291, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8149, scimark_benchmark: 938.3115, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7226, kappa: 0.5937, kb_relative_information_score: 531.7067, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7376, predictive_accuracy: 0.7291, prior_entropy: 1.5849, recall: 0.7291, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8149, scimark_benchmark: 936.1714, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6593, kappa: 0.5295, kb_relative_information_score: 571.1264, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7259, predictive_accuracy: 0.6861, prior_entropy: 1.5849, recall: 0.6861, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8131, scimark_benchmark: 938.3115, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.5595, kappa: 0.4313, kb_relative_information_score: 663.2696, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.68, predictive_accuracy: 0.6206, prior_entropy: 1.5849, recall: 0.6206, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.825, scimark_benchmark: 935.6052, usercpu_time_millis: 1300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.4545, kappa: 0.3542, kb_relative_information_score: 550.7137, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.3784, predictive_accuracy: 0.5691, prior_entropy: 1.5849, recall: 0.5691, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8715, scimark_benchmark: 935.6052, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1677, kb_relative_information_score: 142.9793, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.1119, predictive_accuracy: 0.3345, prior_entropy: 1.5849, recall: 0.3345, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6661, root_relative_squared_error: 1.4129, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.7759, kappa: 0.6636, kb_relative_information_score: 1103.6345, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7765, predictive_accuracy: 0.7758, prior_entropy: 1.5849, recall: 0.7758, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6886, scimark_benchmark: 926.5859, usercpu_time_millis: 1370, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8133, kappa: 0.7209, kb_relative_information_score: 909.0397, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8139, predictive_accuracy: 0.8139, prior_entropy: 1.5849, recall: 0.8139, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.674, scimark_benchmark: 936.7184, usercpu_time_millis: 32310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 32230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1350.2591, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1366.7181, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7913, kappa: 0.7047, kb_relative_information_score: 1194.5745, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8365, predictive_accuracy: 0.803, prior_entropy: 1.5849, recall: 0.803, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7093, scimark_benchmark: 1310.6554, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1316.5668, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1337.9552, usercpu_time_millis: 180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1316.5668, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 1327.3335, usercpu_time_millis: 18070, usercpu_time_millis_testing: 8340, usercpu_time_millis_training: 9730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7913, kappa: 0.7047, kb_relative_information_score: 1194.5745, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8365, predictive_accuracy: 0.803, prior_entropy: 1.5849, recall: 0.803, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7093, scimark_benchmark: 1338.5214, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1325.8468, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1350.7721, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1321.8321, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1318.4315, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7694, kappa: 0.6546, kb_relative_information_score: 1070.8709, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7697, predictive_accuracy: 0.7697, prior_entropy: 1.5849, recall: 0.7697, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7247, scimark_benchmark: 1317.6232, usercpu_time_millis: 14390, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 14160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 1310.6554, usercpu_time_millis: 3670, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8659, kappa: 0.7991, kb_relative_information_score: 1347.7216, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.866, predictive_accuracy: 0.8661, prior_entropy: 1.5849, recall: 0.8661, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6339, scimark_benchmark: 1310.6554, usercpu_time_millis: 2280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7859, kappa: 0.6791, kb_relative_information_score: 1092.1891, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7884, predictive_accuracy: 0.7861, prior_entropy: 1.5849, recall: 0.7861, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6581, scimark_benchmark: 1253.0071, usercpu_time_millis: 4050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 1332.1612, usercpu_time_millis: 26170, usercpu_time_millis_testing: 15600, usercpu_time_millis_training: 10570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1303.9481, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1292.1745, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1311.7317, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 1345.0202, usercpu_time_millis: 3850, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 1348.2804, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1362.9924, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 1340.5125, usercpu_time_millis: 3390, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8437, kappa: 0.7664, kb_relative_information_score: 1243.104, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8444, predictive_accuracy: 0.8442, prior_entropy: 1.5849, recall: 0.8442, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5724, scimark_benchmark: 1260.1387, usercpu_time_millis: 4960, usercpu_time_millis_testing: 4360, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 1404.0159, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 1334.1324, usercpu_time_millis: 26880, usercpu_time_millis_testing: 10540, usercpu_time_millis_training: 16340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 1347.993, usercpu_time_millis: 3850, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 3380,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs