OpenML
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: 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: 1244.1946, usercpu_time_millis: 247.763, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 247.047,
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: 1260.2816, usercpu_time_millis: 246.406, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 245.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9767, kappa: 0.91, kb_relative_information_score: 5762.9476, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9767, predictive_accuracy: 0.977, prior_entropy: 0.6204, recall: 0.977, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3569, scimark_benchmark: 1277.926, usercpu_time_millis: 338.636, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 336.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6542.6859, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0898, scimark_benchmark: 1283.5962, usercpu_time_millis: 231.834, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 230.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.0162, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4628, scimark_benchmark: 1245.8452, usercpu_time_millis: 813.425, usercpu_time_millis_testing: 9.634, usercpu_time_millis_training: 803.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9428, kappa: 0.7721, kb_relative_information_score: 4366.7216, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9437, predictive_accuracy: 0.9453, prior_entropy: 0.6204, recall: 0.9453, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.558, scimark_benchmark: 1300.8658, usercpu_time_millis: 385.107, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 382.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6415.7826, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1578, scimark_benchmark: 1298.0982, usercpu_time_millis: 380.927, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 378.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9813, kappa: 0.928, kb_relative_information_score: 5753.931, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9813, predictive_accuracy: 0.9814, prior_entropy: 0.6204, recall: 0.9814, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3317, scimark_benchmark: 1293.7222, usercpu_time_millis: 281.288, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 279.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.1444, mean_absolute_error: 0.0008, 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: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0179, root_relative_squared_error: 0.0495, scimark_benchmark: 1232.7028, usercpu_time_millis: 265.739, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 264.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9944, kappa: 0.9785, kb_relative_information_score: 6309.9506, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.1976, scimark_benchmark: 1241.36, usercpu_time_millis: 342.917, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 340.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9435, kb_relative_information_score: 6107.4593, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.2696, scimark_benchmark: 1279.7331, usercpu_time_millis: 341.884, usercpu_time_millis_testing: 2.803, usercpu_time_millis_training: 339.081,
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: 1294.4701, usercpu_time_millis: 201.475, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 200.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9788, kappa: 0.9182, kb_relative_information_score: 5660.92, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.6204, recall: 0.9789, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3496, scimark_benchmark: 1238.4788, usercpu_time_millis: 387.425, usercpu_time_millis_testing: 2.566, usercpu_time_millis_training: 384.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.976, kappa: 0.9068, kb_relative_information_score: 5702.0687, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9761, predictive_accuracy: 0.9764, prior_entropy: 0.6204, recall: 0.9764, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.368, scimark_benchmark: 1233.0615, usercpu_time_millis: 648.312, usercpu_time_millis_testing: 5.26, usercpu_time_millis_training: 643.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9555, kappa: 0.8247, kb_relative_information_score: 4729.8761, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9558, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5038, scimark_benchmark: 1244.8736, usercpu_time_millis: 428.084, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 425.395,
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: 1287.1435, usercpu_time_millis: 195.478, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 194.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9642, kappa: 0.8604, kb_relative_information_score: 5231.2539, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9648, prior_entropy: 0.6204, recall: 0.9648, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506, scimark_benchmark: 1237.9097, usercpu_time_millis: 578.153, usercpu_time_millis_testing: 4.95, usercpu_time_millis_training: 573.203,
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: 1308.0247, usercpu_time_millis: 207.243, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 206.56,
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: 1294.9958, usercpu_time_millis: 202.52, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 201.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.0996, mean_absolute_error: 0.0011, 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: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0295, scimark_benchmark: 1289.8954, usercpu_time_millis: 298.13, usercpu_time_millis_testing: 2.622, usercpu_time_millis_training: 295.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9844, kappa: 0.9399, kb_relative_information_score: 5907.6567, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 0.6204, recall: 0.9844, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2999, scimark_benchmark: 1301.0421, usercpu_time_millis: 286.413, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 284.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6542.8375, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0896, scimark_benchmark: 1273.987, usercpu_time_millis: 195.298, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 194.37,
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: 1291.8026, usercpu_time_millis: 216.321, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 215.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9875, kappa: 0.9517, kb_relative_information_score: 6144.1694, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.6204, recall: 0.9876, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2513, scimark_benchmark: 1287.7853, usercpu_time_millis: 471.347, usercpu_time_millis_testing: 3.944, usercpu_time_millis_training: 467.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9695, kappa: 0.8815, kb_relative_information_score: 5461.7016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9695, predictive_accuracy: 0.97, prior_entropy: 0.6204, recall: 0.97, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.413, scimark_benchmark: 1280.636, usercpu_time_millis: 449.351, usercpu_time_millis_testing: 3.984, usercpu_time_millis_training: 445.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6542.0897, 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: 0.0089, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.068, scimark_benchmark: 1287.9871, usercpu_time_millis: 226.939, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 225.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6552.2023, mean_absolute_error: 0.0019, 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: 0.0072, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0616, scimark_benchmark: 1253.3333, usercpu_time_millis: 394.402, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 391.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8566, kb_relative_information_score: 5152.536, mean_absolute_error: 0.0559, 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: 0.2142, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4648, scimark_benchmark: 1260.2675, usercpu_time_millis: 735.803, usercpu_time_millis_testing: 7.997, usercpu_time_millis_training: 727.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9657, kappa: 0.8662, kb_relative_information_score: 5199.3168, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9656, predictive_accuracy: 0.9662, prior_entropy: 0.6204, recall: 0.9662, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4579, scimark_benchmark: 1301.5713, usercpu_time_millis: 767.906, usercpu_time_millis_testing: 8.874, usercpu_time_millis_training: 759.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9787, kappa: 0.9177, kb_relative_information_score: 5816.2316, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.6204, recall: 0.9789, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3456, scimark_benchmark: 1284.0318, usercpu_time_millis: 910.006, usercpu_time_millis_testing: 11.6, usercpu_time_millis_training: 898.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9914, kappa: 0.9668, kb_relative_information_score: 6232.4495, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9913, predictive_accuracy: 0.9914, prior_entropy: 0.6204, recall: 0.9914, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2249, scimark_benchmark: 1228.3908, usercpu_time_millis: 368.43, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 365.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.944, kappa: 0.7759, kb_relative_information_score: 4494.8911, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9457, predictive_accuracy: 0.9468, prior_entropy: 0.6204, recall: 0.9468, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5493, scimark_benchmark: 1248.4503, usercpu_time_millis: 529.956, usercpu_time_millis_testing: 4.222, usercpu_time_millis_training: 525.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9487, kappa: 0.7993, kb_relative_information_score: 4703.7385, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9484, predictive_accuracy: 0.9497, prior_entropy: 0.6204, recall: 0.9497, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5398, scimark_benchmark: 1299.8483, usercpu_time_millis: 594.613, usercpu_time_millis_testing: 6.406, usercpu_time_millis_training: 588.207,
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: 1247.2258, usercpu_time_millis: 251.144, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 250.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9629, kappa: 0.855, kb_relative_information_score: 5054.6712, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9629, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4523, scimark_benchmark: 1262.5168, usercpu_time_millis: 369.821, usercpu_time_millis_testing: 2.58, usercpu_time_millis_training: 367.241,
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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: 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: 1244.6237, usercpu_time_millis: 243.978, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 243.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.7022, 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: 1243.8359, usercpu_time_millis: 243.211, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 242.48,
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: 1278.6741, usercpu_time_millis: 233.104, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 232.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9369, kappa: 0.7526, kb_relative_information_score: 4152.2886, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9364, predictive_accuracy: 0.9383, prior_entropy: 0.6204, recall: 0.9383, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.5989, scimark_benchmark: 1250.722, usercpu_time_millis: 671.397, usercpu_time_millis_testing: 7.595, usercpu_time_millis_training: 663.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.8817, kb_relative_information_score: 5472.1613, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9695, predictive_accuracy: 0.97, prior_entropy: 0.6204, recall: 0.97, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4115, scimark_benchmark: 1237.7869, usercpu_time_millis: 407.09, usercpu_time_millis_testing: 2.757, usercpu_time_millis_training: 404.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.949, kappa: 0.8008, kb_relative_information_score: 4698.0953, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.5417, scimark_benchmark: 1253.8635, usercpu_time_millis: 579.886, usercpu_time_millis_testing: 6.3, usercpu_time_millis_training: 573.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9683, kappa: 0.8763, kb_relative_information_score: 5401.1416, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9683, predictive_accuracy: 0.9688, prior_entropy: 0.6204, recall: 0.9688, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4204, scimark_benchmark: 1290.4735, usercpu_time_millis: 660.317, usercpu_time_millis_testing: 6.131, usercpu_time_millis_training: 654.186,
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: 1275.4649, usercpu_time_millis: 228.837, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 228.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.97, kappa: 0.8832, kb_relative_information_score: 5487.0795, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.97, predictive_accuracy: 0.9704, prior_entropy: 0.6204, recall: 0.9704, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4078, scimark_benchmark: 1251.955, usercpu_time_millis: 462.164, usercpu_time_millis_testing: 3.415, usercpu_time_millis_training: 458.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.5705, mean_absolute_error: 0.0025, 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: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0657, scimark_benchmark: 1242.2481, usercpu_time_millis: 374.039, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 371.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9868, kappa: 0.9493, kb_relative_information_score: 5971.2149, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2869, scimark_benchmark: 1282.7272, usercpu_time_millis: 329.831, usercpu_time_millis_testing: 2.33, usercpu_time_millis_training: 327.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9743, kb_relative_information_score: 6339.2835, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.6204, recall: 0.9933, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1827, scimark_benchmark: 1289.3832, usercpu_time_millis: 470.992, usercpu_time_millis_testing: 3.333, usercpu_time_millis_training: 467.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9689, kappa: 0.8786, kb_relative_information_score: 5424.5774, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.6204, recall: 0.9694, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4154, scimark_benchmark: 1254.2526, usercpu_time_millis: 657.803, usercpu_time_millis_testing: 5.744, usercpu_time_millis_training: 652.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.7102, 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: 0.0152, root_relative_squared_error: 0.042, scimark_benchmark: 1246.4238, usercpu_time_millis: 242.194, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 241.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3494.9401, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1259.8391, usercpu_time_millis: 621.554, usercpu_time_millis_testing: 6.339, usercpu_time_millis_training: 615.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6528.8859, mean_absolute_error: 0.0027, 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: 0.0102, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0733, scimark_benchmark: 1251.8434, usercpu_time_millis: 360.036, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 357.452,
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: 1225.9591, usercpu_time_millis: 225.639, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 224.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.929, kappa: 0.7139, kb_relative_information_score: 3950.8704, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9308, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6118, scimark_benchmark: 1288.5445, usercpu_time_millis: 429.21, usercpu_time_millis_testing: 3.181, usercpu_time_millis_training: 426.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9832, kappa: 0.935, kb_relative_information_score: 6047.294, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9832, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2889, scimark_benchmark: 1286.8293, usercpu_time_millis: 412.446, usercpu_time_millis_testing: 2.988, usercpu_time_millis_training: 409.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9655, kappa: 0.8658, kb_relative_information_score: 5196.04, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9655, predictive_accuracy: 0.9661, prior_entropy: 0.6204, recall: 0.9661, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4573, scimark_benchmark: 1236.7821, usercpu_time_millis: 704.127, usercpu_time_millis_testing: 6.577, usercpu_time_millis_training: 697.55,
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: 1263.3084, usercpu_time_millis: 269.016, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 268.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9369, kappa: 0.7526, kb_relative_information_score: 4154.8694, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9364, predictive_accuracy: 0.9383, prior_entropy: 0.6204, recall: 0.9383, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.5988, scimark_benchmark: 1302.1992, usercpu_time_millis: 621.027, usercpu_time_millis_testing: 7.34, usercpu_time_millis_training: 613.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3496.691, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6784, scimark_benchmark: 1289.4286, usercpu_time_millis: 550.162, usercpu_time_millis_testing: 5.416, usercpu_time_millis_training: 544.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9441, kappa: 0.7828, kb_relative_information_score: 4471.5552, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9437, predictive_accuracy: 0.9448, prior_entropy: 0.6204, recall: 0.9448, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.5665, scimark_benchmark: 1263.5913, usercpu_time_millis: 757.141, usercpu_time_millis_testing: 8.239, usercpu_time_millis_training: 748.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9729, kappa: 0.8948, kb_relative_information_score: 5421.2352, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.6204, recall: 0.9732, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3906, scimark_benchmark: 1295.6095, usercpu_time_millis: 334.358, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 331.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6474.617, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1305, scimark_benchmark: 1283.7162, usercpu_time_millis: 269.787, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 268.518,
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: 1294.0829, usercpu_time_millis: 257.653, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 256.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.939, kappa: 0.756, kb_relative_information_score: 4277.0014, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.94, predictive_accuracy: 0.9418, prior_entropy: 0.6204, recall: 0.9418, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.57, scimark_benchmark: 1226.9073, usercpu_time_millis: 477.721, usercpu_time_millis_testing: 3.205, usercpu_time_millis_training: 474.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.997, kappa: 0.9884, kb_relative_information_score: 6444.7847, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1443, scimark_benchmark: 1255.6909, usercpu_time_millis: 302.559, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 300.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6503.8067, 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: 0.0144, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1151, scimark_benchmark: 1279.9831, usercpu_time_millis: 209.378, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 208.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6551.4584, mean_absolute_error: 0.0017, 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: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.078, scimark_benchmark: 1283.0213, usercpu_time_millis: 203.166, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 202.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6452.0009, mean_absolute_error: 0.0056, 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: 0.0216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1415, scimark_benchmark: 1288.3849, usercpu_time_millis: 264.37, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 262.967,

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