OpenML
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 4547 Supervised Classification waveform-5000 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 26326.6716, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8247, predictive_accuracy: 0.8264, prior_entropy: 0.9233, recall: 0.8264, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7749, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8435, kappa: 0.6501, kb_relative_information_score: 22466.9665, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8433, predictive_accuracy: 0.8436, prior_entropy: 0.9233, recall: 0.8436, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7024, scimark_benchmark: 972.587, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8467, kappa: 0.6568, kb_relative_information_score: 27488.0709, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8464, predictive_accuracy: 0.8472, prior_entropy: 0.9233, recall: 0.8472, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6819, scimark_benchmark: 934.3687, usercpu_time_millis: 4100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 944.1067, usercpu_time_millis: 14350, usercpu_time_millis_testing: 4390, usercpu_time_millis_training: 9960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 916.0735, usercpu_time_millis: 19100, usercpu_time_millis_testing: 7620, usercpu_time_millis_training: 11480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 938.191, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8649, kappa: 0.6965, kb_relative_information_score: 28563.7364, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8646, predictive_accuracy: 0.8658, prior_entropy: 0.9233, recall: 0.8658, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6434, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8909, kappa: 0.7557, kb_relative_information_score: 34780.6375, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9233, recall: 0.8912, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5869, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8549, kappa: 0.6852, kb_relative_information_score: 30645.9706, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8656, predictive_accuracy: 0.8521, prior_entropy: 0.9233, recall: 0.8521, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6863, scimark_benchmark: 944.1067, usercpu_time_millis: 2050, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8871, kappa: 0.7451, kb_relative_information_score: 27856.5781, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8877, predictive_accuracy: 0.8885, prior_entropy: 0.9233, recall: 0.8885, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6182, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 944.1783, usercpu_time_millis: 23620, usercpu_time_millis_testing: 11130, usercpu_time_millis_training: 12490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.855, kappa: 0.6872, kb_relative_information_score: 30657.1547, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8688, predictive_accuracy: 0.852, prior_entropy: 0.9233, recall: 0.852, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.686, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 941.3847, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8871, kappa: 0.7451, kb_relative_information_score: 27856.5781, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8877, predictive_accuracy: 0.8885, prior_entropy: 0.9233, recall: 0.8885, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6182, scimark_benchmark: 947.1781, usercpu_time_millis: 3420, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 26326.6716, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8247, predictive_accuracy: 0.8264, prior_entropy: 0.9233, recall: 0.8264, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7749, scimark_benchmark: 942.2392, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8435, kappa: 0.6501, kb_relative_information_score: 22466.9665, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8433, predictive_accuracy: 0.8436, prior_entropy: 0.9233, recall: 0.8436, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7024, scimark_benchmark: 901.6243, usercpu_time_millis: 1970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8467, kappa: 0.6568, kb_relative_information_score: 27488.0709, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8464, predictive_accuracy: 0.8472, prior_entropy: 0.9233, recall: 0.8472, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6819, scimark_benchmark: 938.1282, usercpu_time_millis: 4080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 940.1221, usercpu_time_millis: 22520, usercpu_time_millis_testing: 10830, usercpu_time_millis_training: 11690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 730.6551, usercpu_time_millis: 35640, usercpu_time_millis_testing: 18860, usercpu_time_millis_training: 16780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8909, kappa: 0.7557, kb_relative_information_score: 34780.6374, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9233, recall: 0.8912, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5869, scimark_benchmark: 730.6551, usercpu_time_millis: 197840, usercpu_time_millis_testing: 7300, usercpu_time_millis_training: 190540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.855, kappa: 0.6872, kb_relative_information_score: 30657.1547, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8688, predictive_accuracy: 0.852, prior_entropy: 0.9233, recall: 0.852, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.686, scimark_benchmark: 930.404, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 930.404, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 941.4991, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8649, kappa: 0.6965, kb_relative_information_score: 28563.7364, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8646, predictive_accuracy: 0.8658, prior_entropy: 0.9233, recall: 0.8658, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6434, scimark_benchmark: 930.404, usercpu_time_millis: 1190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 944.0133, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8871, kappa: 0.7451, kb_relative_information_score: 27856.5781, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8877, predictive_accuracy: 0.8885, prior_entropy: 0.9233, recall: 0.8885, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6182, scimark_benchmark: 938.988, usercpu_time_millis: 4140, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8983, kappa: 0.7707, kb_relative_information_score: 29830.9007, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8989, predictive_accuracy: 0.8995, prior_entropy: 0.9233, recall: 0.8995, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.588, scimark_benchmark: 943.6618, usercpu_time_millis: 156160, usercpu_time_millis_testing: 46330, usercpu_time_millis_training: 109830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8983, kappa: 0.7707, kb_relative_information_score: 29806.8104, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8988, predictive_accuracy: 0.8994, prior_entropy: 0.9233, recall: 0.8994, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.59, scimark_benchmark: 938.4601, usercpu_time_millis: 75880, usercpu_time_millis_testing: 22330, usercpu_time_millis_training: 53550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8937, kappa: 0.7606, kb_relative_information_score: 29737.4517, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8941, predictive_accuracy: 0.8949, prior_entropy: 0.9233, recall: 0.8949, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5947, scimark_benchmark: 903.2737, usercpu_time_millis: 35800, usercpu_time_millis_testing: 9790, usercpu_time_millis_training: 26010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8879, kappa: 0.7476, kb_relative_information_score: 29529.7884, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.888, predictive_accuracy: 0.889, prior_entropy: 0.9233, recall: 0.889, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6048, scimark_benchmark: 938.3401, usercpu_time_millis: 16250, usercpu_time_millis_testing: 2210, usercpu_time_millis_training: 14040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8773, kappa: 0.7243, kb_relative_information_score: 29233.279, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8771, predictive_accuracy: 0.8782, prior_entropy: 0.9233, recall: 0.8782, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6233, scimark_benchmark: 905.3417, usercpu_time_millis: 8380, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8545, kappa: 0.6763, kb_relative_information_score: 29576.8795, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8553, predictive_accuracy: 0.8539, prior_entropy: 0.9233, recall: 0.8539, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6697, scimark_benchmark: 936.1714, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8545, kappa: 0.6763, kb_relative_information_score: 29576.8795, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8553, predictive_accuracy: 0.8539, prior_entropy: 0.9233, recall: 0.8539, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6697, scimark_benchmark: 894.7131, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8467, kappa: 0.6568, kb_relative_information_score: 27488.0709, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8464, predictive_accuracy: 0.8472, prior_entropy: 0.9233, recall: 0.8472, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6819, scimark_benchmark: 1339.2472, usercpu_time_millis: 3570, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.855, kappa: 0.6872, kb_relative_information_score: 30657.1547, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8688, predictive_accuracy: 0.852, prior_entropy: 0.9233, recall: 0.852, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.686, scimark_benchmark: 1362.9924, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1336.0954, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1362.9924, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1346.2927, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1286.2211, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1331.2559, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1325.8468, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1342.6744, usercpu_time_millis: 160, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.855, kappa: 0.6872, kb_relative_information_score: 30657.1547, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8688, predictive_accuracy: 0.852, prior_entropy: 0.9233, recall: 0.852, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.686, scimark_benchmark: 1310.6554, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1366.7181, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1350.2591, usercpu_time_millis: 160, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8909, kappa: 0.7557, kb_relative_information_score: 34780.6374, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9233, recall: 0.8912, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5869, scimark_benchmark: 1317.5857, usercpu_time_millis: 165470, usercpu_time_millis_testing: 7100, usercpu_time_millis_training: 158370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 1316.5668, usercpu_time_millis: 22320, usercpu_time_millis_testing: 9710, usercpu_time_millis_training: 12610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.855, kappa: 0.6872, kb_relative_information_score: 30657.1547, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8688, predictive_accuracy: 0.852, prior_entropy: 0.9233, recall: 0.852, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.686, scimark_benchmark: 1333.6736, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1313.11, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8649, kappa: 0.6965, kb_relative_information_score: 28563.7364, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8646, predictive_accuracy: 0.8658, prior_entropy: 0.9233, recall: 0.8658, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6434, scimark_benchmark: 1337.9552, usercpu_time_millis: 1170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1322.3407, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8435, kappa: 0.6501, kb_relative_information_score: 22466.9665, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8433, predictive_accuracy: 0.8436, prior_entropy: 0.9233, recall: 0.8436, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7024, scimark_benchmark: 1358.6198, usercpu_time_millis: 1730, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8467, kappa: 0.6568, kb_relative_information_score: 27488.0709, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8464, predictive_accuracy: 0.8472, prior_entropy: 0.9233, recall: 0.8472, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6819, scimark_benchmark: 1334.863, usercpu_time_millis: 3280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8997, kappa: 0.774, kb_relative_information_score: 38396.4045, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.9233, recall: 0.9008, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6657, scimark_benchmark: 1338.5214, usercpu_time_millis: 20710, usercpu_time_millis_testing: 9920, usercpu_time_millis_training: 10790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.855, kappa: 0.6872, kb_relative_information_score: 30657.1547, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8688, predictive_accuracy: 0.852, prior_entropy: 0.9233, recall: 0.852, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.686, scimark_benchmark: 1346.4374, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1332.9478, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1323.5075, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1342.2845, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1332.9478, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8606, kappa: 0.6979, kb_relative_information_score: 30826.7079, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.872, predictive_accuracy: 0.8578, prior_entropy: 0.9233, recall: 0.8578, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6584, scimark_benchmark: 1350.7721, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8549, kappa: 0.6852, kb_relative_information_score: 30645.9706, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4478, number_of_instances: 50000, precision: 0.8656, predictive_accuracy: 0.8521, prior_entropy: 0.9233, recall: 0.8521, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6863, scimark_benchmark: 1309.2287, usercpu_time_millis: 2220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2110,

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