OpenML
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2933 Supervised Classification solar-flare 191 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9925, kappa: -0.0013, kb_relative_information_score: -19882.4733, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0619, scimark_benchmark: 1326.8946, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9819, kappa: 0.1807, kb_relative_information_score: -48984.7786, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9947, predictive_accuracy: 0.9714, prior_entropy: 0.0626, recall: 0.9714, relative_absolute_error: 2.782, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1292, root_relative_squared_error: 2.3152, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9819, kappa: 0.1807, kb_relative_information_score: -48984.7786, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9947, predictive_accuracy: 0.9714, prior_entropy: 0.0626, recall: 0.9714, relative_absolute_error: 2.782, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1292, root_relative_squared_error: 2.3152, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.9896, kappa: -0.0048, kb_relative_information_score: -11306.9495, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9886, prior_entropy: 0.0626, recall: 0.9886, relative_absolute_error: 1.0602, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0847, root_relative_squared_error: 1.5176, scimark_benchmark: 1357.5655, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9916, kappa: -0.0031, kb_relative_information_score: -13422.9101, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0619, root_relative_squared_error: 1.1085, scimark_benchmark: 1345.4669, usercpu_time_millis: 2610, usercpu_time_millis_testing: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9906, kappa: -0.004, kb_relative_information_score: -17924.6465, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3459, scimark_benchmark: 1227.9507, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9906, kappa: -0.004, kb_relative_information_score: -17924.6465, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3459, scimark_benchmark: 1331.2332, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.9907, kappa: -0.0039, kb_relative_information_score: -14290.2489, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.0626, recall: 0.9907, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3444, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.993, kb_relative_information_score: -8760.6474, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0034, scimark_benchmark: 1371.9645, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9819, kappa: 0.1807, kb_relative_information_score: -48984.7786, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9947, predictive_accuracy: 0.9714, prior_entropy: 0.0626, recall: 0.9714, relative_absolute_error: 2.782, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1292, root_relative_squared_error: 2.3152, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9924, kappa: -0.0017, kb_relative_information_score: -15715.6995, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9941, prior_entropy: 0.0626, recall: 0.9941, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0592, root_relative_squared_error: 1.0596, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.9901, kappa: 0.0043, kb_relative_information_score: -12281.2314, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9907, predictive_accuracy: 0.9894, prior_entropy: 0.0626, recall: 0.9894, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0818, root_relative_squared_error: 1.4644, scimark_benchmark: 1325.2932, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9929, kappa: -0.0002, kb_relative_information_score: -21280.7393, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9951, prior_entropy: 0.0626, recall: 0.9951, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.057, root_relative_squared_error: 1.0209, scimark_benchmark: 1350.4702, usercpu_time_millis: 730, usercpu_time_millis_testing: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.991, kappa: 0.1145, kb_relative_information_score: -16743.431, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9918, predictive_accuracy: 0.9902, prior_entropy: 0.0626, recall: 0.9902, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0705, root_relative_squared_error: 1.2631, scimark_benchmark: 1332.6143, usercpu_time_millis: 6170, usercpu_time_millis_testing: 6170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9915, kappa: -0.0033, kb_relative_information_score: -5963.5595, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9923, prior_entropy: 0.0626, recall: 0.9923, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0705, root_relative_squared_error: 1.2631, scimark_benchmark: 1349.9741, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.9911, kappa: 0.0548, kb_relative_information_score: -3722.4021, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9911, predictive_accuracy: 0.991, prior_entropy: 0.0626, recall: 0.991, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0775, root_relative_squared_error: 1.388, scimark_benchmark: 1296.8947, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.9752, kappa: 0.0786, kb_relative_information_score: -77214.8996, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9926, predictive_accuracy: 0.9599, prior_entropy: 0.0626, recall: 0.9599, relative_absolute_error: 4.3819, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1317, root_relative_squared_error: 2.3599, scimark_benchmark: 1316.8289, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1358.4523, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.993, kb_relative_information_score: -9275.7861, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0028, scimark_benchmark: 1332.6143, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.993, kb_relative_information_score: -7866.7771, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0043, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 1227.9507, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1220.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3136, f_measure: 0.9926, kappa: -0.001, kb_relative_information_score: -1411.0094, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9947, prior_entropy: 0.0626, recall: 0.9947, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0588, root_relative_squared_error: 1.0539, scimark_benchmark: 1319.6463, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3136, f_measure: 0.9926, kappa: -0.001, kb_relative_information_score: -1411.0094, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9947, prior_entropy: 0.0626, recall: 0.9947, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0588, root_relative_squared_error: 1.0539, scimark_benchmark: 1294.7826, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9838, kappa: 0.202, kb_relative_information_score: -46395.3762, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9947, predictive_accuracy: 0.975, prior_entropy: 0.0626, recall: 0.975, relative_absolute_error: 2.5939, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1232, root_relative_squared_error: 2.2064, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9838, kappa: 0.202, kb_relative_information_score: -46395.3762, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9947, predictive_accuracy: 0.975, prior_entropy: 0.0626, recall: 0.975, relative_absolute_error: 2.5939, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1232, root_relative_squared_error: 2.2064, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.993, kb_relative_information_score: -357958.6357, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 3.0116, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0578, root_relative_squared_error: 1.0351, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.9866, kappa: 0.0098, kb_relative_information_score: -17609.582, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9825, prior_entropy: 0.0626, recall: 0.9825, relative_absolute_error: 1.6059, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.107, root_relative_squared_error: 1.9166, scimark_benchmark: 1331.482, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.993, kb_relative_information_score: 417.225, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0003, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -12907.0134, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 1352.1951, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9925, kappa: -0.0013, kb_relative_information_score: 557.5485, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0607, root_relative_squared_error: 1.0881, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2584, f_measure: 0.9928, kappa: -0.0005, kb_relative_information_score: -140.511, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.995, prior_entropy: 0.0626, recall: 0.995, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0566, root_relative_squared_error: 1.0147, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.9917, kappa: -0.003, kb_relative_information_score: -1532.0955, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9928, prior_entropy: 0.0626, recall: 0.9928, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0694, root_relative_squared_error: 1.2431, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 557.5485, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0607, root_relative_squared_error: 1.0881, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9929, kappa: -0.0003, kb_relative_information_score: 1370.1878, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9951, prior_entropy: 0.0626, recall: 0.9951, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.057, root_relative_squared_error: 1.0215, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -12775.0296, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, build_cpu_time: 0.2719, build_memory: 166640956.2739, f_measure: 0.993, kb_relative_information_score: -12863.1676, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0574, root_relative_squared_error: 1.0278, scimark_benchmark: 946.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, build_cpu_time: 0.6066, build_memory: 848599422.2447, f_measure: 0.993, kb_relative_information_score: -12287.0473, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0572, root_relative_squared_error: 1.0244, scimark_benchmark: 759.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, build_cpu_time: 0.1075, build_memory: 913715210.719, f_measure: 0.993, kb_relative_information_score: -6448.5966, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0014, scimark_benchmark: 949.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, build_cpu_time: 0.0586, build_memory: 1455293578.0518, f_measure: 0.993, kb_relative_information_score: -6762.327, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0025, scimark_benchmark: 920.4255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, build_cpu_time: 0.0329, build_memory: 2527503792.1433, f_measure: 0.993, kb_relative_information_score: -6351.6117, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0032, scimark_benchmark: 942.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.0138, build_memory: 1406325027.257, f_measure: 0.993, kb_relative_information_score: -5254.9918, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0046, scimark_benchmark: 897.6545,

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

OpenML bootcamp

From your own software

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

OpenML APIs