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: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482, scimark_benchmark: 1276.3909, usercpu_time_millis: 2.733, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482, scimark_benchmark: 1287.0729, usercpu_time_millis: 4.382, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 4.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482, scimark_benchmark: 1296.9048, usercpu_time_millis: 5.696, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 5.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482, scimark_benchmark: 1289.4798, usercpu_time_millis: 6.276, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 5.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6546.9838, mean_absolute_error: 0.0021, 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: 0.008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0692, scimark_benchmark: 1279.0313, usercpu_time_millis: 404.073, usercpu_time_millis_testing: 2.669, usercpu_time_millis_training: 401.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482, scimark_benchmark: 1264.9703, usercpu_time_millis: 8.751, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 8.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482, scimark_benchmark: 1260.4778, usercpu_time_millis: 8.16, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 7.755,
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: 1253.0775, usercpu_time_millis: 231.857, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 231.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, 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: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1267.507, usercpu_time_millis: 347.971, usercpu_time_millis_testing: 2.692, usercpu_time_millis_training: 345.279,
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: 1262.1713, usercpu_time_millis: 283.911, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 283.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9964, kappa: 0.9861, kb_relative_information_score: 6415.2248, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, 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: 1268.2447, usercpu_time_millis: 275.693, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 274.158,
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: 1259.2617, usercpu_time_millis: 251.7, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 250.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9806, kappa: 0.9248, kb_relative_information_score: 5958.2659, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.31, scimark_benchmark: 1248.2392, usercpu_time_millis: 425.141, usercpu_time_millis_testing: 2.838, usercpu_time_millis_training: 422.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8516, 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: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1281.6627, usercpu_time_millis: 375.235, usercpu_time_millis_testing: 3.074, usercpu_time_millis_training: 372.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9637, kappa: 0.8587, kb_relative_information_score: 5159.0694, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9636, predictive_accuracy: 0.9642, prior_entropy: 0.6204, recall: 0.9642, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4636, scimark_benchmark: 1283.9684, usercpu_time_millis: 633.478, usercpu_time_millis_testing: 5.461, usercpu_time_millis_training: 628.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9883, kappa: 0.9552, kb_relative_information_score: 6088.8335, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.6204, recall: 0.9883, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2695, scimark_benchmark: 1255.0525, usercpu_time_millis: 333.405, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 331.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6390.1416, mean_absolute_error: 0.0085, 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: 0.0326, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1684, scimark_benchmark: 1278.7221, usercpu_time_millis: 312.456, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 310.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.7979, 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: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1263.123, usercpu_time_millis: 366.189, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 363.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9825, kappa: 0.9328, kb_relative_information_score: 5829.1996, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9825, predictive_accuracy: 0.9826, prior_entropy: 0.6204, recall: 0.9826, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3169, scimark_benchmark: 1254.5616, usercpu_time_millis: 355.498, usercpu_time_millis_testing: 3.673, usercpu_time_millis_training: 351.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6540.7213, mean_absolute_error: 0.0023, 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: 0.0089, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0272, root_relative_squared_error: 0.0755, scimark_benchmark: 1278.92, usercpu_time_millis: 390.434, usercpu_time_millis_testing: 2.772, usercpu_time_millis_training: 387.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3496.9766, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, 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: 0.245, root_relative_squared_error: 0.6785, scimark_benchmark: 1260.8147, usercpu_time_millis: 572.753, usercpu_time_millis_testing: 4.89, usercpu_time_millis_training: 567.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9334, kappa: 0.736, kb_relative_information_score: 3827.5194, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9334, predictive_accuracy: 0.9359, prior_entropy: 0.6204, recall: 0.9359, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.622, scimark_benchmark: 1273.5271, usercpu_time_millis: 709.176, usercpu_time_millis_testing: 7.134, usercpu_time_millis_training: 702.042,
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: 1279.6699, usercpu_time_millis: 262.952, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 262.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9754, kappa: 0.9044, kb_relative_information_score: 5701.5406, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9755, predictive_accuracy: 0.9758, prior_entropy: 0.6204, recall: 0.9758, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3711, scimark_benchmark: 1290.53, usercpu_time_millis: 566.853, usercpu_time_millis_testing: 4.214, usercpu_time_millis_training: 562.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.937, kappa: 0.7524, kb_relative_information_score: 4110.3346, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9365, predictive_accuracy: 0.9386, prior_entropy: 0.6204, recall: 0.9386, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6012, scimark_benchmark: 1270.6258, usercpu_time_millis: 746.951, usercpu_time_millis_testing: 8.568, usercpu_time_millis_training: 738.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6570.0424, 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: 0.0049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0296, scimark_benchmark: 1257.9668, usercpu_time_millis: 343.518, usercpu_time_millis_testing: 4.095, usercpu_time_millis_training: 339.423,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9615, kappa: 0.8493, kb_relative_information_score: 5022.4051, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9615, predictive_accuracy: 0.9623, prior_entropy: 0.6204, recall: 0.9623, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4573, scimark_benchmark: 1286.2621, usercpu_time_millis: 421.1, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 418.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9651, kappa: 0.8641, kb_relative_information_score: 5173.7984, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.965, predictive_accuracy: 0.9656, prior_entropy: 0.6204, recall: 0.9656, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4617, scimark_benchmark: 1244.3337, usercpu_time_millis: 671.653, usercpu_time_millis_testing: 7.368, usercpu_time_millis_training: 664.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.8721, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5406, scimark_benchmark: 1284.3252, usercpu_time_millis: 731.797, usercpu_time_millis_testing: 7.016, usercpu_time_millis_training: 724.781,
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: 1276.978, usercpu_time_millis: 308.66, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 307.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9289, kappa: 0.7129, kb_relative_information_score: 3904.3968, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9309, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.6174, scimark_benchmark: 1266.9505, usercpu_time_millis: 430.263, usercpu_time_millis_testing: 3.313, usercpu_time_millis_training: 426.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9885, kappa: 0.9558, kb_relative_information_score: 6089.927, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2685, scimark_benchmark: 1276.5325, usercpu_time_millis: 380.003, usercpu_time_millis_testing: 2.606, usercpu_time_millis_training: 377.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9952, kappa: 0.9814, kb_relative_information_score: 6352.9023, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.1835, scimark_benchmark: 1257.9118, usercpu_time_millis: 286.722, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 284.684,
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: 1248.8517, usercpu_time_millis: 244.516, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 243.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6477.6896, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0365, root_relative_squared_error: 0.1012, scimark_benchmark: 1285.4094, usercpu_time_millis: 500.269, usercpu_time_millis_testing: 3.226, usercpu_time_millis_training: 497.043,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9491, kappa: 0.8012, kb_relative_information_score: 4709.5103, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5406, scimark_benchmark: 1231.2062, usercpu_time_millis: 650.459, usercpu_time_millis_testing: 7.399, usercpu_time_millis_training: 643.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9958, kappa: 0.9838, kb_relative_information_score: 6397.2735, mean_absolute_error: 0.0082, 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: 0.0314, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1653, scimark_benchmark: 1255.2046, usercpu_time_millis: 332.81, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 332.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9515, kappa: 0.8083, kb_relative_information_score: 4582.4023, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9518, predictive_accuracy: 0.953, prior_entropy: 0.6204, recall: 0.953, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.5268, scimark_benchmark: 1288.6266, usercpu_time_millis: 464.631, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 461.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9952, kappa: 0.9814, kb_relative_information_score: 6362.4962, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0371, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.065, root_relative_squared_error: 0.18, scimark_benchmark: 1268.2661, usercpu_time_millis: 311.076, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 309.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9717, kappa: 0.8898, kb_relative_information_score: 5519.2645, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9717, predictive_accuracy: 0.9721, prior_entropy: 0.6204, recall: 0.9721, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4033, scimark_benchmark: 1248.962, usercpu_time_millis: 594.943, usercpu_time_millis_testing: 4.916, usercpu_time_millis_training: 590.027,
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: 1285.2111, usercpu_time_millis: 293.655, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 292.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.2033, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0456, scimark_benchmark: 1253.4656, usercpu_time_millis: 248.37, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 246.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9596, kappa: 0.8416, kb_relative_information_score: 4942.6145, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9598, predictive_accuracy: 0.9606, prior_entropy: 0.6204, recall: 0.9606, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.4706, scimark_benchmark: 1275.7475, usercpu_time_millis: 445.505, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 442.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9971, kappa: 0.989, kb_relative_information_score: 6450.1163, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1422, scimark_benchmark: 1253.9512, usercpu_time_millis: 293.238, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 292.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9439, kappa: 0.7767, kb_relative_information_score: 4376.1923, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9447, predictive_accuracy: 0.9462, prior_entropy: 0.6204, recall: 0.9462, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5563, scimark_benchmark: 1281.5862, usercpu_time_millis: 470.584, usercpu_time_millis_testing: 2.86, usercpu_time_millis_training: 467.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9493, kappa: 0.8019, kb_relative_information_score: 4710.6449, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5403, scimark_benchmark: 1270.4199, usercpu_time_millis: 651.273, usercpu_time_millis_testing: 7.972, usercpu_time_millis_training: 643.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9628, kappa: 0.8551, kb_relative_information_score: 5147.8046, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9626, predictive_accuracy: 0.9633, prior_entropy: 0.6204, recall: 0.9633, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4652, scimark_benchmark: 1280.2648, usercpu_time_millis: 703.706, usercpu_time_millis_testing: 6.518, usercpu_time_millis_training: 697.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9808, kappa: 0.9257, kb_relative_information_score: 5946.6804, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9809, predictive_accuracy: 0.9811, prior_entropy: 0.6204, recall: 0.9811, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.315, scimark_benchmark: 1236.3993, usercpu_time_millis: 452.23, usercpu_time_millis_testing: 3.458, usercpu_time_millis_training: 448.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.3602, 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: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0658, scimark_benchmark: 1267.8461, usercpu_time_millis: 384.902, usercpu_time_millis_testing: 2.661, usercpu_time_millis_training: 382.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6479.0833, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.0999, scimark_benchmark: 1238.6069, usercpu_time_millis: 471.467, usercpu_time_millis_testing: 3.187, usercpu_time_millis_training: 468.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6520.9719, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.028, root_relative_squared_error: 0.0776, scimark_benchmark: 1252.1264, usercpu_time_millis: 625.403, usercpu_time_millis_testing: 5.387, usercpu_time_millis_training: 620.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.5365, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0453, scimark_benchmark: 1261.7206, usercpu_time_millis: 251.974, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 251.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6516.1527, mean_absolute_error: 0.0034, 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: 0.0129, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0816, scimark_benchmark: 1273.7744, usercpu_time_millis: 585.818, usercpu_time_millis_testing: 4.104, usercpu_time_millis_training: 581.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6428.3869, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.147, scimark_benchmark: 1272.4145, usercpu_time_millis: 316.202, usercpu_time_millis_testing: 3.113, usercpu_time_millis_training: 313.089,
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: 1281.6541, usercpu_time_millis: 258.597, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 257.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6576.7142, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0394, scimark_benchmark: 1284.3383, usercpu_time_millis: 250.538, usercpu_time_millis_testing: 2.625, usercpu_time_millis_training: 247.913,
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: 1257.2884, usercpu_time_millis: 251.321, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 250.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.92, kappa: 0.6748, kb_relative_information_score: 3519.1131, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9224, predictive_accuracy: 0.9254, prior_entropy: 0.6204, recall: 0.9254, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6782, scimark_benchmark: 1231.6337, usercpu_time_millis: 581.129, usercpu_time_millis_testing: 5.438, usercpu_time_millis_training: 575.691,
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: 1262.3891, usercpu_time_millis: 258.49, usercpu_time_millis_testing: 1.809, usercpu_time_millis_training: 256.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9669, kappa: 0.8709, kb_relative_information_score: 5379.6296, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4301, scimark_benchmark: 1222.6606, usercpu_time_millis: 906.427, usercpu_time_millis_testing: 10.333, usercpu_time_millis_training: 896.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9664, kappa: 0.8689, kb_relative_information_score: 5313.4239, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9664, predictive_accuracy: 0.967, prior_entropy: 0.6204, recall: 0.967, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4384, scimark_benchmark: 1229.2409, usercpu_time_millis: 553.322, usercpu_time_millis_testing: 4.495, usercpu_time_millis_training: 548.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9929, kappa: 0.9727, kb_relative_information_score: 6268.2967, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.6204, recall: 0.9929, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.2117, scimark_benchmark: 1274.4307, usercpu_time_millis: 399.144, usercpu_time_millis_testing: 2.851, usercpu_time_millis_training: 396.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5147.3891, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4651, scimark_benchmark: 1287.8888, usercpu_time_millis: 839.757, usercpu_time_millis_testing: 8.742, usercpu_time_millis_training: 831.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.967, kappa: 0.8716, kb_relative_information_score: 5282.7233, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.4471, scimark_benchmark: 1290.0638, usercpu_time_millis: 816.2, usercpu_time_millis_testing: 8.191, usercpu_time_millis_training: 808.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.4974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1283.9156, usercpu_time_millis: 826.779, usercpu_time_millis_testing: 8.784, usercpu_time_millis_training: 817.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6579.6343, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0167, root_relative_squared_error: 0.0462, scimark_benchmark: 1283.0618, usercpu_time_millis: 295.417, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 294.533,

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