Task
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6354.5901, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.032, root_relative_squared_error: 0.0887, scimark_benchmark: 1230.8683, usercpu_time_millis: 465.917, usercpu_time_millis_testing: 11.015, usercpu_time_millis_training: 454.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6404.5948, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0317, root_relative_squared_error: 0.0879, scimark_benchmark: 1232.9415, usercpu_time_millis: 96.015, usercpu_time_millis_testing: 3.48, usercpu_time_millis_training: 92.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6422.9168, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.0869, scimark_benchmark: 1278.3684, usercpu_time_millis: 34.723, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 33.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6579.1918, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0063, root_relative_squared_error: 0.0175, scimark_benchmark: 1272.0151, usercpu_time_millis: 356.28, usercpu_time_millis_testing: 7.963, usercpu_time_millis_training: 348.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6122.4326, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.157, scimark_benchmark: 1281.4986, usercpu_time_millis: 75.079, usercpu_time_millis_testing: 3.058, usercpu_time_millis_training: 72.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6391.1193, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0898, scimark_benchmark: 1268.5366, usercpu_time_millis: 192.422, usercpu_time_millis_testing: 5.805, usercpu_time_millis_training: 186.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6543.689, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0734, scimark_benchmark: 1227.7568, usercpu_time_millis: 128.681, usercpu_time_millis_testing: 4.393, usercpu_time_millis_training: 124.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8452, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0018, scimark_benchmark: 1225.2403, usercpu_time_millis: 650.455, usercpu_time_millis_testing: 7.726, usercpu_time_millis_training: 642.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2612, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1227.8368, usercpu_time_millis: 333.426, usercpu_time_millis_testing: 4.361, usercpu_time_millis_training: 329.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6286.7126, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1042, scimark_benchmark: 1263.5149, usercpu_time_millis: 154.945, usercpu_time_millis_testing: 5.648, usercpu_time_millis_training: 149.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.0528, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.002, scimark_benchmark: 1230.7644, usercpu_time_millis: 151.815, usercpu_time_millis_testing: 2.431, usercpu_time_millis_training: 149.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.9694, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.068, scimark_benchmark: 1270.7099, usercpu_time_millis: 49.633, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 48.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6556.3997, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0696, scimark_benchmark: 1270.4186, usercpu_time_millis: 35.055, usercpu_time_millis_testing: 1.771, usercpu_time_millis_training: 33.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.1417, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0071, scimark_benchmark: 1263.1499, usercpu_time_millis: 128.07, usercpu_time_millis_testing: 2.797, usercpu_time_millis_training: 125.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.9986, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0018, scimark_benchmark: 1232.9478, usercpu_time_millis: 58.889, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 57.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6585.513, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0037, root_relative_squared_error: 0.0102, scimark_benchmark: 1274.2711, usercpu_time_millis: 447.011, usercpu_time_millis_testing: 7.777, usercpu_time_millis_training: 439.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6586.357, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0071, scimark_benchmark: 1273.4195, usercpu_time_millis: 523.357, usercpu_time_millis_testing: 7.524, usercpu_time_millis_training: 515.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6507.0343, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0271, root_relative_squared_error: 0.0751, scimark_benchmark: 1257.9432, usercpu_time_millis: 213.876, usercpu_time_millis_testing: 6.982, usercpu_time_millis_training: 206.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6472.2544, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0201, root_relative_squared_error: 0.0556, scimark_benchmark: 1264.9923, usercpu_time_millis: 29.546, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 27.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6138.7272, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1476, scimark_benchmark: 1268.6055, usercpu_time_millis: 197.314, usercpu_time_millis_testing: 7.34, usercpu_time_millis_training: 189.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6242.519, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.114, scimark_benchmark: 1224.9657, usercpu_time_millis: 62.521, usercpu_time_millis_testing: 3.47, usercpu_time_millis_training: 59.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 5895.7959, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2262, scimark_benchmark: 1276.1227, usercpu_time_millis: 58.577, usercpu_time_millis_testing: 2.688, usercpu_time_millis_training: 55.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.9223, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.011, root_relative_squared_error: 0.0305, scimark_benchmark: 1268.2236, usercpu_time_millis: 20.514, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 19.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6565.866, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0058, root_relative_squared_error: 0.016, scimark_benchmark: 1223.1189, usercpu_time_millis: 87.35, usercpu_time_millis_testing: 2.217, usercpu_time_millis_training: 85.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.2129, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0048, scimark_benchmark: 1228.0977, usercpu_time_millis: 451.304, usercpu_time_millis_testing: 6.177, usercpu_time_millis_training: 445.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.9315, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0272, root_relative_squared_error: 0.0754, scimark_benchmark: 1273.4052, usercpu_time_millis: 220.592, usercpu_time_millis_testing: 7.253, usercpu_time_millis_training: 213.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6492.5004, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0472, scimark_benchmark: 1270.598, usercpu_time_millis: 61.108, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 59.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.6664, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0028, root_relative_squared_error: 0.0078, scimark_benchmark: 1281.1207, usercpu_time_millis: 303.623, usercpu_time_millis_testing: 6.718, usercpu_time_millis_training: 296.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0135, scimark_benchmark: 1272.849, usercpu_time_millis: 273.453, usercpu_time_millis_testing: 6.402, usercpu_time_millis_training: 267.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6560.6967, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.067, scimark_benchmark: 1225.6551, usercpu_time_millis: 255.514, usercpu_time_millis_testing: 4.691, usercpu_time_millis_training: 250.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6540.6035, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0274, root_relative_squared_error: 0.0757, scimark_benchmark: 1234.386, usercpu_time_millis: 140.834, usercpu_time_millis_testing: 5.02, usercpu_time_millis_training: 135.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.2631, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1223.7681, usercpu_time_millis: 165.439, usercpu_time_millis_testing: 3.142, usercpu_time_millis_training: 162.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6524.4737, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0119, root_relative_squared_error: 0.0328, scimark_benchmark: 1240.8517, usercpu_time_millis: 602.312, usercpu_time_millis_testing: 10.461, usercpu_time_millis_training: 591.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.437, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1251.4385, usercpu_time_millis: 101.994, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 99.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.5841, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0025, root_relative_squared_error: 0.0068, scimark_benchmark: 1266.2426, usercpu_time_millis: 440.07, usercpu_time_millis_testing: 7.455, usercpu_time_millis_training: 432.615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 5890.4641, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2324, scimark_benchmark: 1281.339, usercpu_time_millis: 262.646, usercpu_time_millis_testing: 9.828, usercpu_time_millis_training: 252.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.9782, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0134, scimark_benchmark: 1257.3356, usercpu_time_millis: 62.281, usercpu_time_millis_testing: 2.109, usercpu_time_millis_training: 60.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.2395, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0266, root_relative_squared_error: 0.0737, scimark_benchmark: 1228.7711, usercpu_time_millis: 231.317, usercpu_time_millis_testing: 7.63, usercpu_time_millis_training: 223.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6173.6604, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1516, scimark_benchmark: 1225.7067, usercpu_time_millis: 464.917, usercpu_time_millis_testing: 11.749, usercpu_time_millis_training: 453.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6559.4522, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0669, scimark_benchmark: 1278.6379, usercpu_time_millis: 73.054, usercpu_time_millis_testing: 2.06, usercpu_time_millis_training: 70.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.0456, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0028, scimark_benchmark: 1272.712, usercpu_time_millis: 461.977, usercpu_time_millis_testing: 7.212, usercpu_time_millis_training: 454.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3109, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1228.6074, usercpu_time_millis: 292.314, usercpu_time_millis_testing: 4.912, usercpu_time_millis_training: 287.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9512, kappa: 0.8019, kb_relative_information_score: 4057.7187, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9568, predictive_accuracy: 0.9545, prior_entropy: 0.6204, recall: 0.9545, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.5242, scimark_benchmark: 1231.3899, usercpu_time_millis: 273.967, usercpu_time_millis_testing: 22.535, usercpu_time_millis_training: 251.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6561.5445, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.066, scimark_benchmark: 1250.4979, usercpu_time_millis: 708.742, usercpu_time_millis_testing: 9.796, usercpu_time_millis_training: 698.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6565.9006, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1221.0823, usercpu_time_millis: 242.6, usercpu_time_millis_testing: 5.258, usercpu_time_millis_training: 237.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.7101, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0012, scimark_benchmark: 1270.69, usercpu_time_millis: 385.621, usercpu_time_millis_testing: 5.361, usercpu_time_millis_training: 380.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.7412, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.068, scimark_benchmark: 1277.1156, usercpu_time_millis: 498.493, usercpu_time_millis_testing: 6.512, usercpu_time_millis_training: 491.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6485.5331, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0729, scimark_benchmark: 1269.6021, usercpu_time_millis: 128.796, usercpu_time_millis_testing: 3.777, usercpu_time_millis_training: 125.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8723, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0021, scimark_benchmark: 1256.4625, usercpu_time_millis: 321.685, usercpu_time_millis_testing: 4.346, usercpu_time_millis_training: 317.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6529.2461, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0112, root_relative_squared_error: 0.0309, scimark_benchmark: 1278.056, usercpu_time_millis: 635.325, usercpu_time_millis_testing: 10.281, usercpu_time_millis_training: 625.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6586.3283, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.0105, scimark_benchmark: 1219.2607, usercpu_time_millis: 408.143, usercpu_time_millis_testing: 7.537, usercpu_time_millis_training: 400.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.5812, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0289, scimark_benchmark: 1223.0556, usercpu_time_millis: 76.299, usercpu_time_millis_testing: 2.555, usercpu_time_millis_training: 73.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.444, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.005, scimark_benchmark: 1279.0977, usercpu_time_millis: 61.857, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 60.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6574.9393, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0041, root_relative_squared_error: 0.0113, scimark_benchmark: 1259.971, usercpu_time_millis: 514.412, usercpu_time_millis_testing: 7.962, usercpu_time_millis_training: 506.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.9453, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.0705, scimark_benchmark: 1260.9998, usercpu_time_millis: 156.685, usercpu_time_millis_testing: 4.175, usercpu_time_millis_training: 152.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.9379, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1238.0415, usercpu_time_millis: 412.371, usercpu_time_millis_testing: 7.772, usercpu_time_millis_training: 404.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6467.9324, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0188, root_relative_squared_error: 0.0519, scimark_benchmark: 1218.9001, usercpu_time_millis: 70.174, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 68.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6467.3158, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0217, root_relative_squared_error: 0.0601, scimark_benchmark: 1236.6549, usercpu_time_millis: 41.841, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 39.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6561.6085, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0712, scimark_benchmark: 1279.755, usercpu_time_millis: 44.377, usercpu_time_millis_testing: 1.906, usercpu_time_millis_training: 42.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6461.5416, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.023, root_relative_squared_error: 0.0636, scimark_benchmark: 1228.4231, usercpu_time_millis: 46.138, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 43.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6411.5044, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0712, scimark_benchmark: 1239.4529, usercpu_time_millis: 194.637, usercpu_time_millis_testing: 4.657, usercpu_time_millis_training: 189.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.7487, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0271, root_relative_squared_error: 0.0751, scimark_benchmark: 1279.1597, usercpu_time_millis: 20.394, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 19.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6571.4725, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.0129, scimark_benchmark: 1227.2177, usercpu_time_millis: 673.961, usercpu_time_millis_testing: 9.622, usercpu_time_millis_training: 664.339,

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