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: 6594.5349, 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: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0015, root_relative_squared_error: 0.0043, scimark_benchmark: 1221.3925, usercpu_time_millis: 119.654, usercpu_time_millis_testing: 2.555, usercpu_time_millis_training: 117.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6491.7795, mean_absolute_error: 0.006, 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: 0.0231, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.0703, scimark_benchmark: 1230.6148, usercpu_time_millis: 203.566, usercpu_time_millis_testing: 4.715, usercpu_time_millis_training: 198.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6556.4091, 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: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1264.0179, usercpu_time_millis: 378.935, usercpu_time_millis_testing: 8.005, usercpu_time_millis_training: 370.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.5754, 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: 0.068, scimark_benchmark: 1267.3013, usercpu_time_millis: 369.672, usercpu_time_millis_testing: 5.603, usercpu_time_millis_training: 364.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6439.5288, mean_absolute_error: 0.0098, 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: 0.0376, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659, scimark_benchmark: 1271.3191, usercpu_time_millis: 211.49, usercpu_time_millis_testing: 8.9, usercpu_time_millis_training: 202.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.3361, 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: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1267.3864, usercpu_time_millis: 294.337, usercpu_time_millis_testing: 4.308, usercpu_time_millis_training: 290.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6570.4938, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0513, scimark_benchmark: 1264.5859, usercpu_time_millis: 112.492, usercpu_time_millis_testing: 4.928, usercpu_time_millis_training: 107.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6546.0062, mean_absolute_error: 0.0026, 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: 0.0098, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0662, scimark_benchmark: 1270.0194, usercpu_time_millis: 351.132, usercpu_time_millis_testing: 6.133, usercpu_time_millis_training: 344.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6007.6558, mean_absolute_error: 0.0325, 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: 0.1245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1926, scimark_benchmark: 1269.2736, usercpu_time_millis: 355.667, usercpu_time_millis_testing: 11.183, usercpu_time_millis_training: 344.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.5204, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0058, root_relative_squared_error: 0.0162, scimark_benchmark: 1225.3042, usercpu_time_millis: 304.019, usercpu_time_millis_testing: 7.545, usercpu_time_millis_training: 296.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8957, 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: 0.0023, scimark_benchmark: 1264.6259, usercpu_time_millis: 302.832, usercpu_time_millis_testing: 4.456, usercpu_time_millis_training: 298.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6550.6662, mean_absolute_error: 0.0023, 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: 0.0087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0647, scimark_benchmark: 1223.4793, usercpu_time_millis: 586.414, usercpu_time_millis_testing: 7.986, usercpu_time_millis_training: 578.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9829, kappa: 0.9331, kb_relative_information_score: 5043.4077, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3817, scimark_benchmark: 1274.4044, usercpu_time_millis: 265.811, usercpu_time_millis_testing: 15.593, usercpu_time_millis_training: 250.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6549.5464, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0231, scimark_benchmark: 1216.9737, usercpu_time_millis: 289.558, usercpu_time_millis_testing: 4.862, usercpu_time_millis_training: 284.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.3516, 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: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0033, root_relative_squared_error: 0.0091, scimark_benchmark: 1228.7796, usercpu_time_millis: 377.097, usercpu_time_millis_testing: 7.969, usercpu_time_millis_training: 369.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6565.4337, 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: 0.005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0677, scimark_benchmark: 1201.0157, usercpu_time_millis: 356.068, usercpu_time_millis_testing: 5.108, usercpu_time_millis_training: 350.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6574.8786, 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: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0297, scimark_benchmark: 1223.565, usercpu_time_millis: 161.685, usercpu_time_millis_testing: 5.363, usercpu_time_millis_training: 156.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3056, 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: 1276.7644, usercpu_time_millis: 204.479, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 201.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6436.0582, mean_absolute_error: 0.0095, 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: 0.0364, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0308, root_relative_squared_error: 0.0853, scimark_benchmark: 1229.4525, usercpu_time_millis: 200.678, usercpu_time_millis_testing: 7.51, usercpu_time_millis_training: 193.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6429.0692, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.071, scimark_benchmark: 1228.2215, usercpu_time_millis: 89.585, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 86.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6579.066, 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: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.012, root_relative_squared_error: 0.0333, scimark_benchmark: 1275.6865, usercpu_time_millis: 210.74, usercpu_time_millis_testing: 6.846, usercpu_time_millis_training: 203.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0967, 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: 0.0681, scimark_benchmark: 1266.2133, usercpu_time_millis: 217.056, usercpu_time_millis_testing: 3.687, usercpu_time_millis_training: 213.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6464.1894, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.021, root_relative_squared_error: 0.0582, scimark_benchmark: 1275.6043, usercpu_time_millis: 524.922, usercpu_time_millis_testing: 9.261, usercpu_time_millis_training: 515.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6122.6008, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1521, scimark_benchmark: 1274.6422, usercpu_time_millis: 268.414, usercpu_time_millis_testing: 8.576, usercpu_time_millis_training: 259.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2212, 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, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1233.5373, usercpu_time_millis: 265.833, usercpu_time_millis_testing: 4.23, usercpu_time_millis_training: 261.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6070.4805, mean_absolute_error: 0.0304, 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: 0.1164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1638, scimark_benchmark: 1281.4299, usercpu_time_millis: 152.693, usercpu_time_millis_testing: 6.735, usercpu_time_millis_training: 145.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3167, 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: 1228.9057, usercpu_time_millis: 11.15, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 10.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.7676, 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: 1271.6063, usercpu_time_millis: 236.034, usercpu_time_millis_testing: 4.747, usercpu_time_millis_training: 231.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.9751, 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: 0.0089, root_relative_squared_error: 0.0247, scimark_benchmark: 1256.8105, usercpu_time_millis: 20.487, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 19.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8609, 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: 1234.277, usercpu_time_millis: 327.529, usercpu_time_millis_testing: 6.138, usercpu_time_millis_training: 321.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6180.4724, 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: 0.0918, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1479, scimark_benchmark: 1241.7144, usercpu_time_millis: 157.947, usercpu_time_millis_testing: 4.377, usercpu_time_millis_training: 153.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6472.5767, mean_absolute_error: 0.0072, 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: 0.0278, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0748, scimark_benchmark: 1233.6242, usercpu_time_millis: 78.606, usercpu_time_millis_testing: 2.647, usercpu_time_millis_training: 75.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.5385, 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: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1211.7385, usercpu_time_millis: 46.785, usercpu_time_millis_testing: 1.599, usercpu_time_millis_training: 45.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6555.5323, 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: 0.0075, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0672, scimark_benchmark: 1275.8234, usercpu_time_millis: 252.324, usercpu_time_millis_testing: 5.822, usercpu_time_millis_training: 246.502,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6118.9282, mean_absolute_error: 0.0262, 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: 0.1005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1743, scimark_benchmark: 1277.1085, usercpu_time_millis: 219.978, usercpu_time_millis_testing: 7.238, usercpu_time_millis_training: 212.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9538, kappa: 0.8129, kb_relative_information_score: 4172.4475, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9589, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.5107, scimark_benchmark: 1265.9603, usercpu_time_millis: 213.109, usercpu_time_millis_testing: 17.067, usercpu_time_millis_training: 196.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6380.5456, mean_absolute_error: 0.0094, 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: 0.0359, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1241, scimark_benchmark: 1271.4188, usercpu_time_millis: 9.306, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 8.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6543.6578, 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: 0.0104, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659, scimark_benchmark: 1259.2407, usercpu_time_millis: 412.113, usercpu_time_millis_testing: 6.488, usercpu_time_millis_training: 405.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2712, 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: 1224.3024, usercpu_time_millis: 473.939, usercpu_time_millis_testing: 7.237, usercpu_time_millis_training: 466.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6439.9381, mean_absolute_error: 0.0092, 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: 0.0353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0794, scimark_benchmark: 1230.7841, usercpu_time_millis: 156.53, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 152.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.6648, 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: 0.0015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0088, root_relative_squared_error: 0.0243, scimark_benchmark: 1233.7574, usercpu_time_millis: 157.477, usercpu_time_millis_testing: 4.586, usercpu_time_millis_training: 152.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.0406, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0077, root_relative_squared_error: 0.0213, scimark_benchmark: 1267.1425, usercpu_time_millis: 280.048, usercpu_time_millis_testing: 6.945, usercpu_time_millis_training: 273.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6536.251, mean_absolute_error: 0.0032, 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: 0.0122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0674, scimark_benchmark: 1274.7786, usercpu_time_millis: 254.347, usercpu_time_millis_testing: 4.59, usercpu_time_millis_training: 249.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.1653, 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: 0.0017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0098, scimark_benchmark: 1228.2885, usercpu_time_millis: 109.522, usercpu_time_millis_testing: 2.47, usercpu_time_millis_training: 107.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2377, 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: 0.0012, root_relative_squared_error: 0.0032, scimark_benchmark: 1228.2081, usercpu_time_millis: 533.059, usercpu_time_millis_testing: 6.289, usercpu_time_millis_training: 526.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6517.1953, mean_absolute_error: 0.0044, 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: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1266.891, usercpu_time_millis: 515.359, usercpu_time_millis_testing: 8.952, usercpu_time_millis_training: 506.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.554, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1225.9753, usercpu_time_millis: 88.37, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 86.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.2514, 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: 0.0682, scimark_benchmark: 1220.5463, usercpu_time_millis: 86.911, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 84.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.9916, 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: 0.0017, scimark_benchmark: 1266.4693, usercpu_time_millis: 296.273, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 292.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0129, 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: 1267.3687, usercpu_time_millis: 28.439, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 27.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.5633, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1276.6334, usercpu_time_millis: 85.187, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 83.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.8327, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.0105, scimark_benchmark: 1266.2533, usercpu_time_millis: 439.537, usercpu_time_millis_testing: 6.775, usercpu_time_millis_training: 432.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.6897, 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: 1215.4419, usercpu_time_millis: 210.071, usercpu_time_millis_testing: 3.194, usercpu_time_millis_training: 206.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6447.4081, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0603, scimark_benchmark: 1226.5587, usercpu_time_millis: 308.894, usercpu_time_millis_testing: 6.827, usercpu_time_millis_training: 302.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6237.2297, mean_absolute_error: 0.0212, 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: 0.0811, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1263, scimark_benchmark: 1225.5044, usercpu_time_millis: 193.788, usercpu_time_millis_testing: 6.121, usercpu_time_millis_training: 187.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2358, 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, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1279.4222, usercpu_time_millis: 272.869, usercpu_time_millis_testing: 4.131, usercpu_time_millis_training: 268.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6056.7744, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.1644, scimark_benchmark: 1208.2752, usercpu_time_millis: 72.73, usercpu_time_millis_testing: 3.248, usercpu_time_millis_training: 69.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.5795, 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: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0038, scimark_benchmark: 1272.402, usercpu_time_millis: 180.783, usercpu_time_millis_testing: 3.171, usercpu_time_millis_training: 177.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.5715, 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: 0.0017, root_relative_squared_error: 0.0046, scimark_benchmark: 1263.7555, usercpu_time_millis: 27.019, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 25.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.553, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0029, root_relative_squared_error: 0.0079, scimark_benchmark: 1262.4324, usercpu_time_millis: 106.949, usercpu_time_millis_testing: 2.109, usercpu_time_millis_training: 104.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.5136, 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: 0.0023, root_relative_squared_error: 0.0063, scimark_benchmark: 1224.2665, usercpu_time_millis: 106.226, usercpu_time_millis_testing: 3.203, usercpu_time_millis_training: 103.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.461, 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: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1267.5002, usercpu_time_millis: 213.018, usercpu_time_millis_testing: 3.846, usercpu_time_millis_training: 209.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6544.1411, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0102, root_relative_squared_error: 0.0282, scimark_benchmark: 1256.243, usercpu_time_millis: 110.849, usercpu_time_millis_testing: 3.307, usercpu_time_millis_training: 107.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3371, 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: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1258.8711, usercpu_time_millis: 190.609, usercpu_time_millis_testing: 3.881, usercpu_time_millis_training: 186.728,

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