Task
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 3842 Supervised Classification waveform-5000 552 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8702, kappa: 0.707, kb_relative_information_score: 3006.6266, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8707, predictive_accuracy: 0.872, prior_entropy: 0.9233, recall: 0.872, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8655, kappa: 0.697, kb_relative_information_score: 3118.8507, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8654, predictive_accuracy: 0.8668, prior_entropy: 0.9233, recall: 0.8668, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8751, kappa: 0.7181, kb_relative_information_score: 3040.1194, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8754, predictive_accuracy: 0.8766, prior_entropy: 0.9233, recall: 0.8766, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8572, kappa: 0.6773, kb_relative_information_score: 2865.3755, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8578, predictive_accuracy: 0.8594, prior_entropy: 0.9233, recall: 0.8594, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8505, kappa: 0.6649, kb_relative_information_score: 2759.493, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8501, predictive_accuracy: 0.8512, prior_entropy: 0.9233, recall: 0.8512, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8472, kappa: 0.6573, kb_relative_information_score: 2936.3243, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8468, predictive_accuracy: 0.848, prior_entropy: 0.9233, recall: 0.848, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.862, kappa: 0.6907, kb_relative_information_score: 3374.0447, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8617, predictive_accuracy: 0.8626, prior_entropy: 0.9233, recall: 0.8626, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8735, kappa: 0.7222, kb_relative_information_score: 3314.6563, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8784, predictive_accuracy: 0.8718, prior_entropy: 0.9233, recall: 0.8718, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8194, kappa: 0.6034, kb_relative_information_score: 2269.1514, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8247, predictive_accuracy: 0.817, prior_entropy: 0.9233, recall: 0.817, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8367, kappa: 0.6365, kb_relative_information_score: 2995.9966, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8374, predictive_accuracy: 0.8362, prior_entropy: 0.9233, recall: 0.8362, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.826, kappa: 0.6244, kb_relative_information_score: 2554.1667, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8396, predictive_accuracy: 0.8224, prior_entropy: 0.9233, recall: 0.8224, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8421, kappa: 0.6454, kb_relative_information_score: 2678.0812, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8416, predictive_accuracy: 0.843, prior_entropy: 0.9233, recall: 0.843, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.826, kappa: 0.6244, kb_relative_information_score: 2554.1667, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8396, predictive_accuracy: 0.8224, prior_entropy: 0.9233, recall: 0.8224, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.856, kappa: 0.6844, kb_relative_information_score: 3262.7003, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8618, predictive_accuracy: 0.854, prior_entropy: 0.9233, recall: 0.854, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8608, kappa: 0.687, kb_relative_information_score: 2889.9719, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8604, predictive_accuracy: 0.8618, prior_entropy: 0.9233, recall: 0.8618, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8693, kappa: 0.7047, kb_relative_information_score: 2542.3223, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8699, predictive_accuracy: 0.8712, prior_entropy: 0.9233, recall: 0.8712, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5269, kb_relative_information_score: -0.1785, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.4377, predictive_accuracy: 0.6616, prior_entropy: 0.9233, recall: 0.6616, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4732, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7959, kappa: 0.5474, kb_relative_information_score: 2304.8943, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.7977, predictive_accuracy: 0.7946, prior_entropy: 0.9233, recall: 0.7946, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7959, kappa: 0.5474, kb_relative_information_score: 2304.8943, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.7977, predictive_accuracy: 0.7946, prior_entropy: 0.9233, recall: 0.7946, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8625, kappa: 0.6926, kb_relative_information_score: 3098.8496, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8624, predictive_accuracy: 0.8626, prior_entropy: 0.9233, recall: 0.8626, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.308, root_relative_squared_error: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8536, kappa: 0.6781, kb_relative_information_score: 3266.9954, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8581, predictive_accuracy: 0.8518, prior_entropy: 0.9233, recall: 0.8518, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.385, root_relative_squared_error: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8224, kappa: 0.6028, kb_relative_information_score: 2888.993, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8222, predictive_accuracy: 0.8226, prior_entropy: 0.9233, recall: 0.8226, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8224, kappa: 0.6028, kb_relative_information_score: 2888.993, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8222, predictive_accuracy: 0.8226, prior_entropy: 0.9233, recall: 0.8226, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8593, kappa: 0.6995, kb_relative_information_score: 3097.0821, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8789, predictive_accuracy: 0.856, prior_entropy: 0.9233, recall: 0.856, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8553, kappa: 0.6825, kb_relative_information_score: 2972.1023, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8605, predictive_accuracy: 0.8534, prior_entropy: 0.9233, recall: 0.8534, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8538, kappa: 0.6868, kb_relative_information_score: 2996.4727, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8717, predictive_accuracy: 0.8504, prior_entropy: 0.9233, recall: 0.8504, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.335, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8867, kappa: 0.7444, kb_relative_information_score: 2783.0662, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8874, predictive_accuracy: 0.8882, prior_entropy: 0.9233, recall: 0.8882, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8599, kappa: 0.7002, kb_relative_information_score: 3094.438, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8785, predictive_accuracy: 0.8566, prior_entropy: 0.9233, recall: 0.8566, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8207, kappa: 0.6034, kb_relative_information_score: 2885.8556, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8233, predictive_accuracy: 0.8192, prior_entropy: 0.9233, recall: 0.8192, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.848, kappa: 0.6672, kb_relative_information_score: 2955.2575, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8543, predictive_accuracy: 0.8458, prior_entropy: 0.9233, recall: 0.8458, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8209, kappa: 0.6039, kb_relative_information_score: 2888.1939, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8235, predictive_accuracy: 0.8194, prior_entropy: 0.9233, recall: 0.8194, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8595, kappa: 0.6999, kb_relative_information_score: 3096.8891, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.879, predictive_accuracy: 0.8562, prior_entropy: 0.9233, recall: 0.8562, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9014, kappa: 0.7787, kb_relative_information_score: 3510.4125, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.9013, predictive_accuracy: 0.902, prior_entropy: 0.9233, recall: 0.902, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8654, kappa: 0.7001, kb_relative_information_score: 2694.948, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9233, recall: 0.8652, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.8107, kappa: 0.5771, kb_relative_information_score: 2787.6478, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8106, predictive_accuracy: 0.8108, prior_entropy: 0.9233, recall: 0.8108, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8733, kappa: 0.7176, kb_relative_information_score: 3514.8532, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8736, predictive_accuracy: 0.873, prior_entropy: 0.9233, recall: 0.873, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7532, scimark_benchmark: 1280.301, usercpu_time_millis: 7203.125, usercpu_time_millis_testing: 1656.25, usercpu_time_millis_training: 5546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8548, kappa: 0.6811, kb_relative_information_score: 3281.0251, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8597, predictive_accuracy: 0.853, prior_entropy: 0.9233, recall: 0.853, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.8103, scimark_benchmark: 1280.301, usercpu_time_millis: 17187.5, usercpu_time_millis_testing: 4609.375, usercpu_time_millis_training: 12578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.9013, kappa: 0.7775, kb_relative_information_score: 3858.5805, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.9018, predictive_accuracy: 0.9024, prior_entropy: 0.9233, recall: 0.9024, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6603, scimark_benchmark: 1461.2356, usercpu_time_millis: 14906.25, usercpu_time_millis_testing: 5156.25, usercpu_time_millis_training: 9750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.6266, kappa: 0.1662, kb_relative_information_score: 634.0909, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.6267, predictive_accuracy: 0.6266, prior_entropy: 0.9233, recall: 0.6266, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.6111, root_relative_squared_error: 1.2914, scimark_benchmark: 1461.2356, usercpu_time_millis: 9187.5, usercpu_time_millis_testing: 3078.125, usercpu_time_millis_training: 6109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8533, kappa: 0.6852, kb_relative_information_score: 2751.4939, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8701, predictive_accuracy: 0.85, prior_entropy: 0.9233, recall: 0.85, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7162, scimark_benchmark: 1787.9841, usercpu_time_millis: 33296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 33281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8533, kappa: 0.6852, kb_relative_information_score: 2751.4939, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8701, predictive_accuracy: 0.85, prior_entropy: 0.9233, recall: 0.85, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7162, scimark_benchmark: 1381.7097, usercpu_time_millis: 38850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 38830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.6266, kappa: 0.1662, kb_relative_information_score: 634.0909, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.6267, predictive_accuracy: 0.6266, prior_entropy: 0.9233, recall: 0.6266, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.6111, root_relative_squared_error: 1.2914, scimark_benchmark: 1371.6761, usercpu_time_millis: 13170, usercpu_time_millis_testing: 3860, usercpu_time_millis_training: 9310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.9013, kappa: 0.7775, kb_relative_information_score: 3858.5805, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.9018, predictive_accuracy: 0.9024, prior_entropy: 0.9233, recall: 0.9024, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6603, scimark_benchmark: 1621.4265, usercpu_time_millis: 14670, usercpu_time_millis_testing: 7070, usercpu_time_millis_training: 7600,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8765, kappa: 0.725, kb_relative_information_score: 3195.9007, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8769, predictive_accuracy: 0.8762, prior_entropy: 0.9233, recall: 0.8762, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6219, scimark_benchmark: 1788.6668, usercpu_time_millis: 4812.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8092, kappa: 0.572, kb_relative_information_score: 2404.2266, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8086, predictive_accuracy: 0.8102, prior_entropy: 0.9233, recall: 0.8102, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7476, scimark_benchmark: 1788.6668, usercpu_time_millis: 484.375, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.8117, kappa: 0.5851, kb_relative_information_score: 2063.6329, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8157, predictive_accuracy: 0.8096, prior_entropy: 0.9233, recall: 0.8096, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7996, scimark_benchmark: 1788.6668, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8243, kappa: 0.6165, kb_relative_information_score: 2326.408, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8322, predictive_accuracy: 0.8214, prior_entropy: 0.9233, recall: 0.8214, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7359, scimark_benchmark: 1788.6668, usercpu_time_millis: 1062.5, usercpu_time_millis_training: 1062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8175, kappa: 0.5924, kb_relative_information_score: 2352.6249, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8175, predictive_accuracy: 0.8176, prior_entropy: 0.9233, recall: 0.8176, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7371, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.821, kappa: 0.604, kb_relative_information_score: 2890.5321, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8234, predictive_accuracy: 0.8196, prior_entropy: 0.9233, recall: 0.8196, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8976, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8562, kappa: 0.6845, kb_relative_information_score: 3295.0548, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8615, predictive_accuracy: 0.8542, prior_entropy: 0.9233, recall: 0.8542, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.807, scimark_benchmark: 1555.2878, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8505, kappa: 0.6649, kb_relative_information_score: 2759.493, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8501, predictive_accuracy: 0.8512, prior_entropy: 0.9233, recall: 0.8512, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7389, scimark_benchmark: 916.767, usercpu_time_millis: 3390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8215, kappa: 0.6104, kb_relative_information_score: 2369.404, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8294, predictive_accuracy: 0.8186, prior_entropy: 0.9233, recall: 0.8186, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7575, scimark_benchmark: 1447.2612, usercpu_time_millis: 1187.5, usercpu_time_millis_testing: 1140.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7743, kappa: 0.5249, kb_relative_information_score: 2195.0931, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8032, predictive_accuracy: 0.7684, prior_entropy: 0.9233, recall: 0.7684, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8967, scimark_benchmark: 1840.6094, usercpu_time_millis: 828.125, usercpu_time_millis_testing: 765.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8006, kappa: 0.5799, kb_relative_information_score: 2675.3073, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8291, predictive_accuracy: 0.7954, prior_entropy: 0.9233, recall: 0.7954, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7841, scimark_benchmark: 1840.6094, usercpu_time_millis: 6078.125, usercpu_time_millis_testing: 6078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8569, kappa: 0.6834, kb_relative_information_score: 2686.3277, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8591, predictive_accuracy: 0.8558, prior_entropy: 0.9233, recall: 0.8558, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.658, scimark_benchmark: 1873.1108, usercpu_time_millis: 8765.625, usercpu_time_millis_testing: 8765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7957, kappa: 0.5459, kb_relative_information_score: 2317.8947, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.7969, predictive_accuracy: 0.7948, prior_entropy: 0.9233, recall: 0.7948, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7963, scimark_benchmark: 1873.1108, usercpu_time_millis: 921.875, usercpu_time_millis_testing: 859.375, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8472, kappa: 0.6573, kb_relative_information_score: 2713.5404, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8468, predictive_accuracy: 0.848, prior_entropy: 0.9233, recall: 0.848, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6849, scimark_benchmark: 1873.1108, usercpu_time_millis: 7734.375, usercpu_time_millis_testing: 7734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8816, kappa: 0.7328, kb_relative_information_score: 3631.7673, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.882, predictive_accuracy: 0.883, prior_entropy: 0.9233, recall: 0.883, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5269, kb_relative_information_score: 1043.2901, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.4377, predictive_accuracy: 0.6616, prior_entropy: 0.9233, recall: 0.6616, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8223, kappa: 0.6089, kb_relative_information_score: 2897.547, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8267, predictive_accuracy: 0.8202, prior_entropy: 0.9233, recall: 0.8202, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8962, scimark_benchmark: 1870.7932, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8562, kappa: 0.6856, kb_relative_information_score: 3292.7165, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.863, predictive_accuracy: 0.854, prior_entropy: 0.9233, recall: 0.854, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.8075, scimark_benchmark: 1870.7932, usercpu_time_millis: 249.6016, usercpu_time_millis_training: 249.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8047, kappa: 0.5668, kb_relative_information_score: 2234.9439, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8064, predictive_accuracy: 0.8036, prior_entropy: 0.9233, recall: 0.8036, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7916, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8312, kappa: 0.6197, kb_relative_information_score: 2702.9471, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8308, predictive_accuracy: 0.833, prior_entropy: 0.9233, recall: 0.833, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7439, scimark_benchmark: 1870.7932, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8219, kappa: 0.6023, kb_relative_information_score: 2275.6472, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8218, prior_entropy: 0.9233, recall: 0.8218, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7499, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,

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

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