Task
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 1938 Supervised Classification waveform-5000 184 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.753, kappa: 0.6301, kb_relative_information_score: 29848.8761, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 1.5849, recall: 0.7534, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7944, kappa: 0.6917, kb_relative_information_score: 33143.933, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7944, predictive_accuracy: 0.7945, prior_entropy: 1.5849, recall: 0.7945, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6595, scimark_benchmark: 851.2074, usercpu_time_millis: 5840, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 941.3142, usercpu_time_millis: 11030, usercpu_time_millis_testing: 4010, usercpu_time_millis_training: 7020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 941.6675, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8212, kappa: 0.7325, kb_relative_information_score: 33261.3881, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8217, predictive_accuracy: 0.8216, prior_entropy: 1.5849, recall: 0.8216, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.6123, scimark_benchmark: 941.6675, usercpu_time_millis: 1620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8518, kappa: 0.7785, kb_relative_information_score: 32948.2858, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8533, predictive_accuracy: 0.8523, prior_entropy: 1.5849, recall: 0.8523, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5862, scimark_benchmark: 931.771, usercpu_time_millis: 3670, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 932.438, usercpu_time_millis: 7700, usercpu_time_millis_testing: 3890, usercpu_time_millis_training: 3810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7888, kappa: 0.7009, kb_relative_information_score: 36207.7362, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8326, predictive_accuracy: 0.8003, prior_entropy: 1.5849, recall: 0.8003, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102, scimark_benchmark: 932.438, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8004, kappa: 0.7016, kb_relative_information_score: 34795.1759, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8013, predictive_accuracy: 0.801, prior_entropy: 1.5849, recall: 0.801, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6707, scimark_benchmark: 947.1781, usercpu_time_millis: 11870, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 11780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8518, kappa: 0.7785, kb_relative_information_score: 32948.2858, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8533, predictive_accuracy: 0.8523, prior_entropy: 1.5849, recall: 0.8523, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5862, scimark_benchmark: 943.1009, usercpu_time_millis: 3990, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.753, kappa: 0.6301, kb_relative_information_score: 29848.8761, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 1.5849, recall: 0.7534, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699, scimark_benchmark: 819.5729, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7944, kappa: 0.6917, kb_relative_information_score: 33143.933, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7944, predictive_accuracy: 0.7945, prior_entropy: 1.5849, recall: 0.7945, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6595, scimark_benchmark: 608.4057, usercpu_time_millis: 6970, usercpu_time_millis_training: 6970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 730.6551, usercpu_time_millis: 26090, usercpu_time_millis_testing: 12790, usercpu_time_millis_training: 13300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 906.0979, usercpu_time_millis: 24460, usercpu_time_millis_testing: 14570, usercpu_time_millis_training: 9890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 938.1282, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 903.2737, usercpu_time_millis: 290, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 941.4991, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8212, kappa: 0.7325, kb_relative_information_score: 33261.3881, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8217, predictive_accuracy: 0.8216, prior_entropy: 1.5849, recall: 0.8216, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.6123, scimark_benchmark: 933.3455, usercpu_time_millis: 1630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 932.438, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8004, kappa: 0.7016, kb_relative_information_score: 34795.1759, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8013, predictive_accuracy: 0.801, prior_entropy: 1.5849, recall: 0.801, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6707, scimark_benchmark: 935.5664, usercpu_time_millis: 11460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 11370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8518, kappa: 0.7785, kb_relative_information_score: 32948.2858, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8533, predictive_accuracy: 0.8523, prior_entropy: 1.5849, recall: 0.8523, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5862, scimark_benchmark: 936.9595, usercpu_time_millis: 4640, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8657, kappa: 0.7995, kb_relative_information_score: 34499.1007, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8678, predictive_accuracy: 0.8663, prior_entropy: 1.5849, recall: 0.8663, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5572, scimark_benchmark: 940.1221, usercpu_time_millis: 167610, usercpu_time_millis_testing: 47650, usercpu_time_millis_training: 119960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8646, kappa: 0.7977, kb_relative_information_score: 34466.3449, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8665, predictive_accuracy: 0.8651, prior_entropy: 1.5849, recall: 0.8651, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5599, scimark_benchmark: 942.2392, usercpu_time_millis: 100170, usercpu_time_millis_testing: 27460, usercpu_time_millis_training: 72710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8613, kappa: 0.7927, kb_relative_information_score: 34393.9756, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8629, predictive_accuracy: 0.8618, prior_entropy: 1.5849, recall: 0.8618, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5644, scimark_benchmark: 917.2109, usercpu_time_millis: 42350, usercpu_time_millis_testing: 9660, usercpu_time_millis_training: 32690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8532, kappa: 0.7804, kb_relative_information_score: 34316.4461, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8542, predictive_accuracy: 0.8536, prior_entropy: 1.5849, recall: 0.8536, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5727, scimark_benchmark: 939.7883, usercpu_time_millis: 16930, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 14400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8398, kappa: 0.7603, kb_relative_information_score: 34122.5044, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8403, predictive_accuracy: 0.8402, prior_entropy: 1.5849, recall: 0.8402, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5892, scimark_benchmark: 935.6052, usercpu_time_millis: 10230, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 9100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8085, kappa: 0.713, kb_relative_information_score: 33930.3241, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8085, predictive_accuracy: 0.8087, prior_entropy: 1.5849, recall: 0.8087, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6314, scimark_benchmark: 929.0296, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.6539, kappa: 0.5233, kb_relative_information_score: 11248.4689, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7233, predictive_accuracy: 0.6815, prior_entropy: 1.5849, recall: 0.6815, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8742, scimark_benchmark: 936.1714, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.6539, kappa: 0.5233, kb_relative_information_score: 11248.4689, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7233, predictive_accuracy: 0.6815, prior_entropy: 1.5849, recall: 0.6815, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8742, scimark_benchmark: 938.3115, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.6418, kappa: 0.5124, kb_relative_information_score: 13143.4963, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7234, predictive_accuracy: 0.6741, prior_entropy: 1.5849, recall: 0.6741, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8606, scimark_benchmark: 938.3115, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.605, kappa: 0.4788, kb_relative_information_score: 18778.5303, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7135, predictive_accuracy: 0.6516, prior_entropy: 1.5849, recall: 0.6516, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.388, root_relative_squared_error: 0.823, scimark_benchmark: 935.6052, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.475, kappa: 0.3707, kb_relative_information_score: 15852.2365, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.6577, predictive_accuracy: 0.5789, prior_entropy: 1.5849, recall: 0.5789, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8681, scimark_benchmark: 941.9549, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.7769, kappa: 0.6654, kb_relative_information_score: 33701.4664, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7768, predictive_accuracy: 0.777, prior_entropy: 1.5849, recall: 0.777, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6884, scimark_benchmark: 926.5859, usercpu_time_millis: 1180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 1317.071, usercpu_time_millis: 21170, usercpu_time_millis_testing: 10400, usercpu_time_millis_training: 10770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7888, kappa: 0.7009, kb_relative_information_score: 36207.7362, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8326, predictive_accuracy: 0.8003, prior_entropy: 1.5849, recall: 0.8003, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102, scimark_benchmark: 1318.4315, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1319.4538, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1321.8321, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.753, kappa: 0.6301, kb_relative_information_score: 29848.8761, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 1.5849, recall: 0.7534, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699, scimark_benchmark: 1345.6844, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 1309.4708, usercpu_time_millis: 15690, usercpu_time_millis_testing: 7670, usercpu_time_millis_training: 8020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7888, kappa: 0.7009, kb_relative_information_score: 36207.7362, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8326, predictive_accuracy: 0.8003, prior_entropy: 1.5849, recall: 0.8003, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102, scimark_benchmark: 1342.2845, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1317.6232, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8004, kappa: 0.7016, kb_relative_information_score: 34795.1759, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8013, predictive_accuracy: 0.801, prior_entropy: 1.5849, recall: 0.801, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6707, scimark_benchmark: 1313.5633, usercpu_time_millis: 15040, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 14810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8518, kappa: 0.7785, kb_relative_information_score: 32948.2858, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8533, predictive_accuracy: 0.8523, prior_entropy: 1.5849, recall: 0.8523, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5862, scimark_benchmark: 1310.6554, usercpu_time_millis: 3670, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7944, kappa: 0.6917, kb_relative_information_score: 33143.933, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7944, predictive_accuracy: 0.7945, prior_entropy: 1.5849, recall: 0.7945, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6595, scimark_benchmark: 1313.8988, usercpu_time_millis: 4240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1371.174, usercpu_time_millis: 210, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1336.4701, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.753, kappa: 0.6301, kb_relative_information_score: 29848.8761, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 1.5849, recall: 0.7534, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699, scimark_benchmark: 1344.0499, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1347.1763, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8004, kappa: 0.7016, kb_relative_information_score: 34795.1759, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8013, predictive_accuracy: 0.801, prior_entropy: 1.5849, recall: 0.801, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6707, scimark_benchmark: 1316.7198, usercpu_time_millis: 15000, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 14760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.753, kappa: 0.6301, kb_relative_information_score: 29848.8761, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 1.5849, recall: 0.7534, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699, scimark_benchmark: 1260.1387, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7997, kb_relative_information_score: 40866.4825, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8671, predictive_accuracy: 0.8665, prior_entropy: 1.5849, recall: 0.8665, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.633, scimark_benchmark: 1331.7953, usercpu_time_millis: 46330, usercpu_time_millis_testing: 24410, usercpu_time_millis_training: 21920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1260.1387, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8212, kappa: 0.7325, kb_relative_information_score: 33261.3881, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8217, predictive_accuracy: 0.8216, prior_entropy: 1.5849, recall: 0.8216, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.6123, scimark_benchmark: 1347.993, usercpu_time_millis: 1470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8518, kappa: 0.7785, kb_relative_information_score: 32948.2858, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8533, predictive_accuracy: 0.8523, prior_entropy: 1.5849, recall: 0.8523, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5862, scimark_benchmark: 1260.1387, usercpu_time_millis: 3550, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1347.993, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8518, kappa: 0.7785, kb_relative_information_score: 32948.2858, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8533, predictive_accuracy: 0.8523, prior_entropy: 1.5849, recall: 0.8523, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5862, scimark_benchmark: 1322.7257, usercpu_time_millis: 3630, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 3170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7888, kappa: 0.7009, kb_relative_information_score: 36207.7362, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8326, predictive_accuracy: 0.8003, prior_entropy: 1.5849, recall: 0.8003, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102, scimark_benchmark: 935.5075, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1288.1375, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7944, kappa: 0.6917, kb_relative_information_score: 33143.933, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.7944, predictive_accuracy: 0.7945, prior_entropy: 1.5849, recall: 0.7945, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6595, scimark_benchmark: 1280.6338, usercpu_time_millis: 3970, usercpu_time_millis_training: 3970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8478, kappa: 0.7729, kb_relative_information_score: 38188.0255, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 1.5849, recall: 0.8485, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5639, scimark_benchmark: 1345.7204, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.4698, kappa: 0.3605, kb_relative_information_score: 16057.3024, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.6976, predictive_accuracy: 0.5721, prior_entropy: 1.5849, recall: 0.5721, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.877, scimark_benchmark: 1352.2099, usercpu_time_millis: 257000, usercpu_time_millis_testing: 257000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7888, kappa: 0.7009, kb_relative_information_score: 36207.7362, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8326, predictive_accuracy: 0.8003, prior_entropy: 1.5849, recall: 0.8003, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102, scimark_benchmark: 1315.933, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7888, kappa: 0.7009, kb_relative_information_score: 36207.7362, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8326, predictive_accuracy: 0.8003, prior_entropy: 1.5849, recall: 0.8003, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7102, scimark_benchmark: 1313.5052, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,

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