Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8647, kappa: 0.1211, kb_relative_information_score: -75.7458, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8725, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9602, scimark_benchmark: 1284.9221, usercpu_time_millis: 15.717, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 15.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -81.1162, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9973, scimark_benchmark: 1243.3458, usercpu_time_millis: 18.086, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 17.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -17.1525, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.006, scimark_benchmark: 1272.168, usercpu_time_millis: 7.563, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 7.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.8606, kappa: 0.1002, kb_relative_information_score: -113.0552, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.855, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9592, scimark_benchmark: 1233.3573, usercpu_time_millis: 7.38, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 7.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.858, kappa: 0.0681, kb_relative_information_score: 42.7831, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8688, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9844, scimark_benchmark: 1244.7957, usercpu_time_millis: 9.584, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 9.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 5.8704, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9974, scimark_benchmark: 1279.9733, usercpu_time_millis: 4.673, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 4.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -40.2344, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9827, scimark_benchmark: 1251.9369, usercpu_time_millis: 5.64, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 5.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -39.958, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1280.6173, usercpu_time_millis: 14.778, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 14.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8589, kappa: 0.0893, kb_relative_information_score: -121.3434, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8507, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9585, scimark_benchmark: 1282.391, usercpu_time_millis: 9.219, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 9.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.8547, kappa: 0.0411, kb_relative_information_score: -46.7271, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8759, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 1280.5132, usercpu_time_millis: 5.897, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.8492, kb_relative_information_score: 1.0136, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9992, scimark_benchmark: 1282.1735, usercpu_time_millis: 5.662, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.8492, kb_relative_information_score: -0.8478, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9989, scimark_benchmark: 1254.3265, usercpu_time_millis: 5.038, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 4.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.2547, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9952, scimark_benchmark: 1249.2934, usercpu_time_millis: 9.449, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 9.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 55.7519, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.9794, scimark_benchmark: 1253.9546, usercpu_time_millis: 15.588, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 15.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.8492, kb_relative_information_score: 4.5368, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1253.1847, usercpu_time_millis: 4.555, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.8601, kappa: 0.0815, kb_relative_information_score: 57.9894, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8842, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9807, scimark_benchmark: 1278.6165, usercpu_time_millis: 8.849, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 8.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.851, kappa: 0.0168, kb_relative_information_score: -59.7874, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8407, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9862, scimark_benchmark: 1273.1022, usercpu_time_millis: 4.673, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -26.5734, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9946, scimark_benchmark: 1270.9608, usercpu_time_millis: 8.29, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 8.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.891, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1243.8596, usercpu_time_millis: 4.59, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 4.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.8652, kappa: 0.1272, kb_relative_information_score: -184.1907, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8697, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9486, scimark_benchmark: 1274.914, usercpu_time_millis: 7.706, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 7.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -2.7351, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9973, scimark_benchmark: 1259.2872, usercpu_time_millis: 5.201, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 80.0098, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9729, scimark_benchmark: 1255.5697, usercpu_time_millis: 15.536, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 15.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -77.7975, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1261.2715, usercpu_time_millis: 883.257, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 883.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.8492, kb_relative_information_score: 2.6986, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9994, scimark_benchmark: 1274.2018, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 4.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.8492, kb_relative_information_score: 2.9545, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9994, scimark_benchmark: 1284.1702, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 6.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.666, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.971, scimark_benchmark: 1284.3428, usercpu_time_millis: 15.764, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 15.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4647, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.8685, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0033, scimark_benchmark: 1251.2527, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8644, kappa: 0.1238, kb_relative_information_score: -108.4599, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8654, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9505, scimark_benchmark: 1277.7524, usercpu_time_millis: 13.902, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 13.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8615, kappa: 0.108, kb_relative_information_score: -130.8109, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8559, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9556, scimark_benchmark: 1245.2515, usercpu_time_millis: 9.721, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 9.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.8492, kb_relative_information_score: -39.059, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9948, scimark_benchmark: 1249.6351, usercpu_time_millis: 14.366, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 14.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -61.2465, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1287.5428, usercpu_time_millis: 229.694, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 229.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.859, kappa: 0.0767, kb_relative_information_score: 0.7873, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.868, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9762, scimark_benchmark: 1250.09, usercpu_time_millis: 18.373, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 18.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 87.2864, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9709, scimark_benchmark: 1247.0522, usercpu_time_millis: 16.877, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 16.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.5551, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0029, scimark_benchmark: 1277.2242, usercpu_time_millis: 4.271, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.8622, kappa: 0.1066, kb_relative_information_score: -55.8465, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8625, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9616, scimark_benchmark: 1241.2011, usercpu_time_millis: 6.408, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 6.281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.8628, kappa: 0.1051, kb_relative_information_score: -46.9615, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8736, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9698, scimark_benchmark: 1281.5269, usercpu_time_millis: 17.12, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 16.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 43.8397, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9788, scimark_benchmark: 1243.2355, usercpu_time_millis: 17.13, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 16.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 78.055, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9736, scimark_benchmark: 1238.5281, usercpu_time_millis: 15.364, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 15.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 4.8385, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9977, scimark_benchmark: 1281.8252, usercpu_time_millis: 4.612, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -26.7003, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9946, scimark_benchmark: 1278.5711, usercpu_time_millis: 8.543, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 8.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -34.1272, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9857, scimark_benchmark: 1270.0904, usercpu_time_millis: 8.443, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 8.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4595, f_measure: 0.8492, kb_relative_information_score: 2.3819, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9997, scimark_benchmark: 1248.2815, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.8601, kappa: 0.0815, kb_relative_information_score: 55.3918, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8842, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9812, scimark_benchmark: 1263.6667, usercpu_time_millis: 9.132, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 8.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -5.0932, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1274.9236, usercpu_time_millis: 4.341, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.8488, kappa: 0.0034, kb_relative_information_score: -182.0634, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8205, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.9792, scimark_benchmark: 1280.3895, usercpu_time_millis: 10.566, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 10.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -53.2579, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9925, scimark_benchmark: 1256.8424, usercpu_time_millis: 823.953, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 823.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.8492, kb_relative_information_score: 4.802, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9988, scimark_benchmark: 1277.8109, usercpu_time_millis: 5.305, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.5209, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9949, scimark_benchmark: 1278.8454, usercpu_time_millis: 8.42, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 8.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.8492, kb_relative_information_score: 6.1642, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9987, scimark_benchmark: 1282.875, usercpu_time_millis: 4.364, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -9.4803, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.9978, scimark_benchmark: 1243.1303, usercpu_time_millis: 4.677, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 79.6631, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9713, scimark_benchmark: 1252.2507, usercpu_time_millis: 17.567, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 17.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -59.4619, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.986, scimark_benchmark: 1254.842, usercpu_time_millis: 9.518, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 9.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -47.2177, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9922, scimark_benchmark: 1271.6112, usercpu_time_millis: 26.677, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 26.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -8.2563, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9972, scimark_benchmark: 1248.3796, usercpu_time_millis: 4.946, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4829, f_measure: 0.8492, kb_relative_information_score: 1.7085, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1269.2523, usercpu_time_millis: 4.311, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.8616, kappa: 0.0917, kb_relative_information_score: 58.4309, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.887, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.9792, scimark_benchmark: 1268.0476, usercpu_time_millis: 5.895, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 5.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.3166, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9898, scimark_benchmark: 1248.8363, usercpu_time_millis: 6.373, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 6.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.8626, kappa: 0.1082, kb_relative_information_score: -146.0167, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8648, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.954, scimark_benchmark: 1250.8774, usercpu_time_millis: 11.765, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 11.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -49.9206, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.9781, scimark_benchmark: 1279.7686, usercpu_time_millis: 6.31, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 6.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 84.5075, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.971, scimark_benchmark: 1278.862, usercpu_time_millis: 17.02, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 16.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 72.2481, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9726, scimark_benchmark: 1262.0818, usercpu_time_millis: 18.017, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 17.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.0607, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9714, scimark_benchmark: 1241.8978, usercpu_time_millis: 15.612, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 15.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -48.7562, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9779, scimark_benchmark: 1268.7605, usercpu_time_millis: 5.16, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 79.6869, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.973, scimark_benchmark: 1248.3058, usercpu_time_millis: 15.513, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 15.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.859, kappa: 0.0767, kb_relative_information_score: -4.4895, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.868, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9758, scimark_benchmark: 1252.8992, usercpu_time_millis: 17.548, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 17.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.8492, kb_relative_information_score: 2.4444, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9994, scimark_benchmark: 1276.821, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -45.4661, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9924, scimark_benchmark: 1281.2108, usercpu_time_millis: 24.307, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 24.216,

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