OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.4475, 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: 0.0014, root_relative_squared_error: 0.004, scimark_benchmark: 1264.7228, usercpu_time_millis: 394.924, usercpu_time_millis_testing: 5.864, usercpu_time_millis_training: 389.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6582.5833, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0171, root_relative_squared_error: 0.0473, scimark_benchmark: 1255.1045, usercpu_time_millis: 38.031, usercpu_time_millis_testing: 1.957, usercpu_time_millis_training: 36.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6172.9556, mean_absolute_error: 0.0176, 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: 0.0674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1714, scimark_benchmark: 1282.3893, usercpu_time_millis: 10.189, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 9.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.0686, 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: 0.0253, root_relative_squared_error: 0.07, scimark_benchmark: 1276.7244, usercpu_time_millis: 35.971, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 34.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6498.8476, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0143, root_relative_squared_error: 0.0397, scimark_benchmark: 1257.1466, usercpu_time_millis: 206.98, usercpu_time_millis_testing: 5.413, usercpu_time_millis_training: 201.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6070.3241, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1778, scimark_benchmark: 1262.2717, usercpu_time_millis: 35.321, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 33.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.5322, 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: 0.0008, root_relative_squared_error: 0.0022, scimark_benchmark: 1267.8679, usercpu_time_millis: 204.808, usercpu_time_millis_testing: 3.256, usercpu_time_millis_training: 201.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6555.6066, 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: 0.0098, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0199, scimark_benchmark: 1278.8957, usercpu_time_millis: 380.199, usercpu_time_millis_testing: 8.996, usercpu_time_millis_training: 371.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.9895, kb_relative_information_score: 5943.6859, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.2217, scimark_benchmark: 1265.077, usercpu_time_millis: 139.323, usercpu_time_millis_testing: 5.178, usercpu_time_millis_training: 134.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.3113, 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: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0027, root_relative_squared_error: 0.0075, scimark_benchmark: 1254.7233, usercpu_time_millis: 616.922, usercpu_time_millis_testing: 8.015, usercpu_time_millis_training: 608.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6403.4715, mean_absolute_error: 0.0116, 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: 0.0443, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.0903, scimark_benchmark: 1276.9511, usercpu_time_millis: 237.505, usercpu_time_millis_testing: 8.555, usercpu_time_millis_training: 228.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9931, kappa: 0.9734, kb_relative_information_score: 5635.8526, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6204, recall: 0.9932, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.2816, scimark_benchmark: 1258.0798, usercpu_time_millis: 406.066, usercpu_time_millis_testing: 17.064, usercpu_time_millis_training: 389.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9802, kappa: 0.9223, kb_relative_information_score: 4840.2355, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9811, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4086, scimark_benchmark: 1249.3318, usercpu_time_millis: 49.855, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 46.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.2562, 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: 0.025, root_relative_squared_error: 0.0692, scimark_benchmark: 1281.7481, usercpu_time_millis: 210.399, usercpu_time_millis_testing: 4.964, usercpu_time_millis_training: 205.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6583.5053, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.016, root_relative_squared_error: 0.0442, scimark_benchmark: 1278.1139, usercpu_time_millis: 145.48, usercpu_time_millis_testing: 5.788, usercpu_time_millis_training: 139.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6502.9054, mean_absolute_error: 0.0052, 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: 0.0201, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0781, scimark_benchmark: 1262.6963, usercpu_time_millis: 197.321, usercpu_time_millis_testing: 7.168, usercpu_time_millis_training: 190.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.7207, 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: 0.0016, root_relative_squared_error: 0.0044, scimark_benchmark: 1250.6542, usercpu_time_millis: 551.442, usercpu_time_millis_testing: 8.252, usercpu_time_millis_training: 543.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.5799, 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: 1276.652, usercpu_time_millis: 342.448, usercpu_time_millis_testing: 6.508, usercpu_time_millis_training: 335.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6581.7149, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.003, root_relative_squared_error: 0.0084, scimark_benchmark: 1251.6612, usercpu_time_millis: 337.179, usercpu_time_millis_testing: 5.648, usercpu_time_millis_training: 331.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.7416, 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: 0.0256, root_relative_squared_error: 0.0708, scimark_benchmark: 1258.1726, usercpu_time_millis: 285.555, usercpu_time_millis_testing: 7.531, usercpu_time_millis_training: 278.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6458.4615, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0542, scimark_benchmark: 1271.4873, usercpu_time_millis: 63.672, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 61.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6531.4508, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1255.9201, usercpu_time_millis: 265.081, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 259.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.105, 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: 0.0016, root_relative_squared_error: 0.0045, scimark_benchmark: 1277.1214, usercpu_time_millis: 245.857, usercpu_time_millis_testing: 4.555, usercpu_time_millis_training: 241.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9957, kappa: 0.9835, kb_relative_information_score: 5597.5847, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2821, scimark_benchmark: 1283.4505, usercpu_time_millis: 194.01, usercpu_time_millis_testing: 9.555, usercpu_time_millis_training: 184.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.2549, 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: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1276.8406, usercpu_time_millis: 594.888, usercpu_time_millis_testing: 7.438, usercpu_time_millis_training: 587.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6475.9316, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0479, scimark_benchmark: 1278.0893, usercpu_time_millis: 496.554, usercpu_time_millis_testing: 9.571, usercpu_time_millis_training: 486.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6560.1387, 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: 0.0063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676, scimark_benchmark: 1266.2797, usercpu_time_millis: 294.152, usercpu_time_millis_testing: 5.465, usercpu_time_millis_training: 288.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6547.4239, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0225, scimark_benchmark: 1257.4287, usercpu_time_millis: 365.398, usercpu_time_millis_testing: 7.081, usercpu_time_millis_training: 358.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6465.2304, 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: 0.0314, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0209, root_relative_squared_error: 0.058, scimark_benchmark: 1277.0724, usercpu_time_millis: 491.09, usercpu_time_millis_testing: 8.801, usercpu_time_millis_training: 482.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6544.1088, 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: 0.0103, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0691, scimark_benchmark: 1257.3053, usercpu_time_millis: 270.137, usercpu_time_millis_testing: 6.399, usercpu_time_millis_training: 263.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4463, 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: 0.069, scimark_benchmark: 1272.1497, usercpu_time_millis: 255.646, usercpu_time_millis_testing: 5.648, usercpu_time_millis_training: 249.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.0936, 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: 0.0013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0016, root_relative_squared_error: 0.0045, scimark_benchmark: 1280.7799, usercpu_time_millis: 686.231, usercpu_time_millis_testing: 7.844, usercpu_time_millis_training: 678.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6553.5685, mean_absolute_error: 0.0021, 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: 0.008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0664, scimark_benchmark: 1258.8908, usercpu_time_millis: 330.578, usercpu_time_millis_testing: 6.268, usercpu_time_millis_training: 324.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9845, kappa: 0.9395, kb_relative_information_score: 5269.4255, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9851, predictive_accuracy: 0.9848, prior_entropy: 0.6204, recall: 0.9848, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.128, root_relative_squared_error: 0.3545, scimark_benchmark: 1277.803, usercpu_time_millis: 176.878, usercpu_time_millis_testing: 9.823, usercpu_time_millis_training: 167.055,
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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: 6504.7756, mean_absolute_error: 0.0051, 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: 0.0197, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0765, scimark_benchmark: 1227.5204, usercpu_time_millis: 142.868, usercpu_time_millis_testing: 5.267, usercpu_time_millis_training: 137.601,
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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: 6205.7493, mean_absolute_error: 0.0221, 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: 0.0848, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1462, scimark_benchmark: 1264.673, usercpu_time_millis: 102.288, usercpu_time_millis_testing: 2.781, usercpu_time_millis_training: 99.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6583.6897, 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: 0.0149, root_relative_squared_error: 0.0411, scimark_benchmark: 1274.4094, usercpu_time_millis: 77.977, usercpu_time_millis_testing: 3.031, usercpu_time_millis_training: 74.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6571.9652, 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: 0.0255, root_relative_squared_error: 0.0705, scimark_benchmark: 1280.5596, usercpu_time_millis: 297.219, usercpu_time_millis_testing: 7.769, usercpu_time_millis_training: 289.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6374.3774, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0284, root_relative_squared_error: 0.0786, scimark_benchmark: 1252.0359, usercpu_time_millis: 271.829, usercpu_time_millis_testing: 7.676, usercpu_time_millis_training: 264.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6529.7103, 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: 0.0104, root_relative_squared_error: 0.0288, scimark_benchmark: 1255.6269, usercpu_time_millis: 644.321, usercpu_time_millis_testing: 10.199, usercpu_time_millis_training: 634.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6538.2271, mean_absolute_error: 0.0031, 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: 0.0117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1272.5991, usercpu_time_millis: 353.491, usercpu_time_millis_testing: 9.072, usercpu_time_millis_training: 344.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6231.2837, mean_absolute_error: 0.022, 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: 0.0842, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1261, scimark_benchmark: 1268.0274, usercpu_time_millis: 255.262, usercpu_time_millis_testing: 11.081, usercpu_time_millis_training: 244.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6557.4309, 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: 0.0092, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0109, root_relative_squared_error: 0.0302, scimark_benchmark: 1284.4592, usercpu_time_millis: 166.73, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 161.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.4235, 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: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0668, scimark_benchmark: 1265.6923, usercpu_time_millis: 492.267, usercpu_time_millis_testing: 8.082, usercpu_time_millis_training: 484.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3804, 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: 1276.2188, usercpu_time_millis: 198.158, usercpu_time_millis_testing: 3.417, usercpu_time_millis_training: 194.741,
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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: 6574.5309, 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: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1252.811, usercpu_time_millis: 183.383, usercpu_time_millis_testing: 3.142, usercpu_time_millis_training: 180.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.7208, 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: 0.0009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0015, root_relative_squared_error: 0.0041, scimark_benchmark: 1251.6634, usercpu_time_millis: 260.986, usercpu_time_millis_testing: 5.177, usercpu_time_millis_training: 255.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.3766, 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: 0.0009, root_relative_squared_error: 0.0024, scimark_benchmark: 1278.5918, usercpu_time_millis: 158.872, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 155.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6448.5633, mean_absolute_error: 0.0087, 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: 0.0333, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0842, scimark_benchmark: 1248.5585, usercpu_time_millis: 52.338, usercpu_time_millis_testing: 3.321, usercpu_time_millis_training: 49.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.6043, 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: 0.004, scimark_benchmark: 1261.0573, usercpu_time_millis: 214.271, usercpu_time_millis_testing: 3.815, usercpu_time_millis_training: 210.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6085.8352, mean_absolute_error: 0.0283, 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: 0.1086, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.1752, scimark_benchmark: 1254.9804, usercpu_time_millis: 196.742, usercpu_time_millis_testing: 5.876, usercpu_time_millis_training: 190.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6286.9828, mean_absolute_error: 0.018, 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: 0.0689, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1204, scimark_benchmark: 1267.884, usercpu_time_millis: 459.18, usercpu_time_millis_testing: 11.113, usercpu_time_millis_training: 448.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6549.4662, mean_absolute_error: 0.0022, 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: 0.0086, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0764, scimark_benchmark: 1281.8637, usercpu_time_millis: 176.522, usercpu_time_millis_testing: 6.404, usercpu_time_millis_training: 170.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6196.4225, mean_absolute_error: 0.0231, 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: 0.0885, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1383, scimark_benchmark: 1285.9928, usercpu_time_millis: 151.561, usercpu_time_millis_testing: 4.847, usercpu_time_millis_training: 146.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.148, 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: 0.069, scimark_benchmark: 1281.1525, usercpu_time_millis: 253.29, usercpu_time_millis_testing: 5.305, usercpu_time_millis_training: 247.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6546.7629, mean_absolute_error: 0.0025, 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: 0.0096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0689, scimark_benchmark: 1269.3494, usercpu_time_millis: 300.066, usercpu_time_millis_testing: 7.245, usercpu_time_millis_training: 292.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.5509, 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: 1280.2029, usercpu_time_millis: 505.039, usercpu_time_millis_testing: 6.771, usercpu_time_millis_training: 498.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.8807, 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: 0.0013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0048, scimark_benchmark: 1284.9353, usercpu_time_millis: 292.739, usercpu_time_millis_testing: 4.147, usercpu_time_millis_training: 288.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6552.7896, mean_absolute_error: 0.0021, 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: 0.0082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0663, scimark_benchmark: 1282.9677, usercpu_time_millis: 175.249, usercpu_time_millis_testing: 3.654, usercpu_time_millis_training: 171.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6559.9692, 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: 0.0063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0252, root_relative_squared_error: 0.0698, scimark_benchmark: 1256.9196, usercpu_time_millis: 117.193, usercpu_time_millis_testing: 3.756, usercpu_time_millis_training: 113.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6538.8207, mean_absolute_error: 0.0029, 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: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0284, root_relative_squared_error: 0.0787, scimark_benchmark: 1284.5445, usercpu_time_millis: 116.426, usercpu_time_millis_testing: 5.726, usercpu_time_millis_training: 110.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6430.304, 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: 0.0293, root_relative_squared_error: 0.0811, scimark_benchmark: 1256.3855, usercpu_time_millis: 103.257, usercpu_time_millis_testing: 3.05, usercpu_time_millis_training: 100.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6472.9154, 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: 0.0276, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.026, root_relative_squared_error: 0.072, scimark_benchmark: 1268.8337, usercpu_time_millis: 756.05, usercpu_time_millis_testing: 11.15, usercpu_time_millis_training: 744.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6525.9015, mean_absolute_error: 0.0038, 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: 0.0147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0648, scimark_benchmark: 1271.923, usercpu_time_millis: 100.375, usercpu_time_millis_testing: 2.632, usercpu_time_millis_training: 97.743,

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