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 - 1 downloads - 1 reach - area_under_roc_curve: 0.9997, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6581.0534, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0213, root_relative_squared_error: 0.0591, usercpu_time_millis: 30.05, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 29.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6504.608, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.1147, scimark_benchmark: 1265.3577, usercpu_time_millis: 245.436, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 244.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2481.7283, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.793, scimark_benchmark: 1269.5221, usercpu_time_millis: 963.918, usercpu_time_millis_testing: 11.915, usercpu_time_millis_training: 952.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9771, kappa: 0.9115, kb_relative_information_score: 5602.2565, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.6204, recall: 0.9773, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.3596, scimark_benchmark: 1201.2735, usercpu_time_millis: 372.414, usercpu_time_millis_testing: 2.647, usercpu_time_millis_training: 369.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.3598, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0455, scimark_benchmark: 1259.2539, usercpu_time_millis: 250.619, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 249.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9641, kappa: 0.86, kb_relative_information_score: 5222.9384, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.964, predictive_accuracy: 0.9647, prior_entropy: 0.6204, recall: 0.9647, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4538, scimark_benchmark: 1252.4851, usercpu_time_millis: 542.632, usercpu_time_millis_testing: 5.283, usercpu_time_millis_training: 537.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9704, kappa: 0.8849, kb_relative_information_score: 5282.8479, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9703, predictive_accuracy: 0.9707, prior_entropy: 0.6204, recall: 0.9707, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4138, scimark_benchmark: 1213.5151, usercpu_time_millis: 402.746, usercpu_time_millis_testing: 2.499, usercpu_time_millis_training: 400.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9198, kappa: 0.6743, kb_relative_information_score: 3500.2893, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9222, predictive_accuracy: 0.9253, prior_entropy: 0.6204, recall: 0.9253, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.678, scimark_benchmark: 1243.3819, usercpu_time_millis: 636.14, usercpu_time_millis_testing: 5.484, usercpu_time_millis_training: 630.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9866, kappa: 0.9482, kb_relative_information_score: 6102.0542, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.264, scimark_benchmark: 1262.5846, usercpu_time_millis: 503.202, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 499.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.6237, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.017, root_relative_squared_error: 0.047, scimark_benchmark: 1270.6888, usercpu_time_millis: 207.927, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 206.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9529, kappa: 0.8154, kb_relative_information_score: 4856.3283, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9528, predictive_accuracy: 0.9539, prior_entropy: 0.6204, recall: 0.9539, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5125, scimark_benchmark: 1217.2665, usercpu_time_millis: 704.695, usercpu_time_millis_testing: 7.183, usercpu_time_millis_training: 697.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9747, kappa: 0.9022, kb_relative_information_score: 5684.2203, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.3741, scimark_benchmark: 1261.1559, usercpu_time_millis: 326.231, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 323.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6493.5427, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1204, scimark_benchmark: 1251.2463, usercpu_time_millis: 209.602, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 208.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6494.3244, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.12, scimark_benchmark: 1272.0279, usercpu_time_millis: 210.362, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 209.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1269.7907, usercpu_time_millis: 199.25, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 198.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8001, kb_relative_information_score: 4700.4427, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5413, scimark_benchmark: 1271.0993, usercpu_time_millis: 479.299, usercpu_time_millis_testing: 4.795, usercpu_time_millis_training: 474.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1226.5239, usercpu_time_millis: 286.836, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 286.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 5882.8431, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2421, scimark_benchmark: 1240.813, usercpu_time_millis: 14.711, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 12.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5147.1054, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4657, scimark_benchmark: 1256.8272, usercpu_time_millis: 511.533, usercpu_time_millis_testing: 6.177, usercpu_time_millis_training: 505.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.801, kb_relative_information_score: 4708.0537, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5402, scimark_benchmark: 1215.5984, usercpu_time_millis: 501.649, usercpu_time_millis_testing: 5.494, usercpu_time_millis_training: 496.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.3328, 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: 0.0011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.007, root_relative_squared_error: 0.0194, scimark_benchmark: 1266.4584, usercpu_time_millis: 225.984, usercpu_time_millis_testing: 5.666, usercpu_time_millis_training: 220.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.5478, 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: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1227.9474, usercpu_time_millis: 231.971, usercpu_time_millis_testing: 5.998, usercpu_time_millis_training: 225.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2653, 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: 1224.4567, usercpu_time_millis: 364.047, usercpu_time_millis_testing: 5.82, usercpu_time_millis_training: 358.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.0606, 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: 0.0247, root_relative_squared_error: 0.0685, scimark_benchmark: 1264.5144, usercpu_time_millis: 410.846, usercpu_time_millis_testing: 7.91, usercpu_time_millis_training: 402.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.5631, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1239.2246, usercpu_time_millis: 247.697, usercpu_time_millis_testing: 5.414, usercpu_time_millis_training: 242.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0661, 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: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1247.2358, usercpu_time_millis: 252.772, usercpu_time_millis_testing: 4.318, usercpu_time_millis_training: 248.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6513.8575, mean_absolute_error: 0.0046, 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: 0.0177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0675, scimark_benchmark: 1278.6915, usercpu_time_millis: 262.115, usercpu_time_millis_testing: 5.306, usercpu_time_millis_training: 256.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6189.9674, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1356, scimark_benchmark: 1216.2847, usercpu_time_millis: 436.18, usercpu_time_millis_testing: 12.664, usercpu_time_millis_training: 423.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6521.4618, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0115, root_relative_squared_error: 0.0319, scimark_benchmark: 1275.5158, usercpu_time_millis: 280.205, usercpu_time_millis_testing: 6.152, usercpu_time_millis_training: 274.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.2299, 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: 0.0016, root_relative_squared_error: 0.0044, scimark_benchmark: 1236.2774, usercpu_time_millis: 459.908, usercpu_time_millis_testing: 6.735, usercpu_time_millis_training: 453.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 5734.36, mean_absolute_error: 0.0457, 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: 0.1751, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2486, scimark_benchmark: 1234.9394, usercpu_time_millis: 318.237, usercpu_time_millis_testing: 15.426, usercpu_time_millis_training: 302.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6558.4531, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0069, root_relative_squared_error: 0.0192, scimark_benchmark: 1222.834, usercpu_time_millis: 353.608, usercpu_time_millis_testing: 6.666, usercpu_time_millis_training: 346.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8036, 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: 0.001, root_relative_squared_error: 0.0028, scimark_benchmark: 1233.2964, usercpu_time_millis: 376.177, usercpu_time_millis_testing: 5.841, usercpu_time_millis_training: 370.336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.0316, 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: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1275.0165, usercpu_time_millis: 183.94, usercpu_time_millis_testing: 4.124, usercpu_time_millis_training: 179.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9852, kappa: 0.942, kb_relative_information_score: 5154.4102, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.3653, scimark_benchmark: 1283.3391, usercpu_time_millis: 124.272, usercpu_time_millis_testing: 7.459, usercpu_time_millis_training: 116.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6486.0433, 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: 0.0245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0258, root_relative_squared_error: 0.0714, scimark_benchmark: 1245.7502, usercpu_time_millis: 520.814, usercpu_time_millis_testing: 9.654, usercpu_time_millis_training: 511.16,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6554.6575, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0071, root_relative_squared_error: 0.0198, scimark_benchmark: 1235.3444, usercpu_time_millis: 454.512, usercpu_time_millis_testing: 6.395, usercpu_time_millis_training: 448.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6533.0998, mean_absolute_error: 0.0034, 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: 0.013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0232, root_relative_squared_error: 0.0643, scimark_benchmark: 1229.1092, usercpu_time_millis: 219.42, usercpu_time_millis_testing: 3.799, usercpu_time_millis_training: 215.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9863, kappa: 0.9464, kb_relative_information_score: 5459.2483, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9867, predictive_accuracy: 0.9865, prior_entropy: 0.6204, recall: 0.9865, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3262, scimark_benchmark: 1273.4427, usercpu_time_millis: 402.127, usercpu_time_millis_testing: 21.474, usercpu_time_millis_training: 380.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6498.4765, mean_absolute_error: 0.0056, 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: 0.0215, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1248.344, usercpu_time_millis: 499.45, usercpu_time_millis_testing: 9.477, usercpu_time_millis_training: 489.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6554.5848, 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: 0.0073, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0273, root_relative_squared_error: 0.0757, scimark_benchmark: 1274.9458, usercpu_time_millis: 130.724, usercpu_time_millis_testing: 4.659, usercpu_time_millis_training: 126.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2976, 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: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0031, root_relative_squared_error: 0.0085, scimark_benchmark: 1227.5386, usercpu_time_millis: 360.121, usercpu_time_millis_testing: 6.294, usercpu_time_millis_training: 353.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.6751, 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: 0.0248, root_relative_squared_error: 0.0685, scimark_benchmark: 1218.5741, usercpu_time_millis: 132.096, usercpu_time_millis_testing: 3.26, usercpu_time_millis_training: 128.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.5757, 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: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1269.1678, usercpu_time_millis: 53.78, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 51.931,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6405.2415, mean_absolute_error: 0.0113, 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: 0.0435, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0317, root_relative_squared_error: 0.0879, scimark_benchmark: 1275.2827, usercpu_time_millis: 85.008, usercpu_time_millis_testing: 2.971, usercpu_time_millis_training: 82.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6577.4225, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0058, root_relative_squared_error: 0.016, scimark_benchmark: 1236.4024, usercpu_time_millis: 52.414, usercpu_time_millis_testing: 1.912, usercpu_time_millis_training: 50.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.4488, 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: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1223.6918, usercpu_time_millis: 647.25, usercpu_time_millis_testing: 8.626, usercpu_time_millis_training: 638.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6554.2709, mean_absolute_error: 0.002, 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: 0.0078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0665, scimark_benchmark: 1224.0574, usercpu_time_millis: 259.342, usercpu_time_millis_testing: 6.059, usercpu_time_millis_training: 253.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3242, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0689, scimark_benchmark: 1275.2831, usercpu_time_millis: 262.609, usercpu_time_millis_testing: 5.724, usercpu_time_millis_training: 256.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6522.1511, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0115, root_relative_squared_error: 0.0319, scimark_benchmark: 1228.0418, usercpu_time_millis: 280.076, usercpu_time_millis_testing: 5.197, usercpu_time_millis_training: 274.879,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.6602, 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: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1239.5718, usercpu_time_millis: 238.108, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 233.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.8971, 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: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.0703, scimark_benchmark: 1248.5354, usercpu_time_millis: 172.374, usercpu_time_millis_testing: 4.904, usercpu_time_millis_training: 167.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6522.0833, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0112, root_relative_squared_error: 0.0311, scimark_benchmark: 1192.312, usercpu_time_millis: 567.871, usercpu_time_millis_testing: 9.87, usercpu_time_millis_training: 558.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.2175, 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: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1267.8592, usercpu_time_millis: 415.366, usercpu_time_millis_testing: 7.338, usercpu_time_millis_training: 408.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6522.7751, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0116, root_relative_squared_error: 0.0321, scimark_benchmark: 1274.954, usercpu_time_millis: 418.869, usercpu_time_millis_testing: 6.968, usercpu_time_millis_training: 411.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6571.5295, 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: 0.0035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1230.0199, usercpu_time_millis: 255.825, usercpu_time_millis_testing: 4.623, usercpu_time_millis_training: 251.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6286.1899, mean_absolute_error: 0.0186, 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: 0.0714, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1134, scimark_benchmark: 1232.584, usercpu_time_millis: 160.956, usercpu_time_millis_testing: 6.326, usercpu_time_millis_training: 154.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.801, kb_relative_information_score: 4703.8093, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5406, scimark_benchmark: 1235.3245, usercpu_time_millis: 663.048, usercpu_time_millis_testing: 7.755, usercpu_time_millis_training: 655.293,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs