OpenML
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: 0.6343, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -70.6091, mean_absolute_error: 0.1821, 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: 0.9886, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9924, scimark_benchmark: 1275.4632, usercpu_time_millis: 965.111, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 965.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.6447, mean_absolute_error: 0.1808, 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: 0.9819, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9882, scimark_benchmark: 1282.4712, usercpu_time_millis: 6.119, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 6.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, f_measure: 0.8492, kb_relative_information_score: 4.376, 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: 0.9968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1276.9421, usercpu_time_millis: 4.071, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.8492, kb_relative_information_score: -2.9589, 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: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1225.1442, usercpu_time_millis: 6.342, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 6.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 70.4577, 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: 0.9486, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9729, scimark_benchmark: 1267.382, usercpu_time_millis: 17.941, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 17.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -47.0803, mean_absolute_error: 0.1831, 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: 0.994, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9924, scimark_benchmark: 1241.9505, usercpu_time_millis: 25.427, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 25.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.8492, kb_relative_information_score: 4.7781, 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: 0.9956, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9991, scimark_benchmark: 1255.1688, usercpu_time_millis: 6.342, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 6.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -25.5769, 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: 0.9864, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9916, scimark_benchmark: 1280.714, usercpu_time_millis: 6.693, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 6.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.8492, kb_relative_information_score: 2.1591, 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: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1273.8013, usercpu_time_millis: 4.125, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -31.8356, mean_absolute_error: 0.1833, 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: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9954, scimark_benchmark: 1223.1017, usercpu_time_millis: 10.265, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 10.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -64.6304, mean_absolute_error: 0.1816, 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: 0.9861, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1207.6538, usercpu_time_millis: 454.514, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 454.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -51.246, 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: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9923, scimark_benchmark: 1250.7945, usercpu_time_millis: 61.895, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 61.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.8519, kappa: 0.03, kb_relative_information_score: -22.9011, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8365, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9805, scimark_benchmark: 1255.6366, usercpu_time_millis: 6.24, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 6.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -33.1361, 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: 0.971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9856, scimark_benchmark: 1247.0289, usercpu_time_millis: 8.207, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 8.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -46.3628, 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: 0.9936, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9923, scimark_benchmark: 1270.5668, usercpu_time_millis: 25.53, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 25.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.8589, kappa: 0.0893, kb_relative_information_score: -118.5102, 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: 0.8925, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9592, scimark_benchmark: 1275.8271, usercpu_time_millis: 8.331, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 8.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -53.2867, 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: 0.9892, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1278.7061, usercpu_time_millis: 40.189, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 40.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.8561, kappa: 0.0606, kb_relative_information_score: -21.5707, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.851, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.9719, scimark_benchmark: 1275.3264, usercpu_time_millis: 5.502, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -13.2342, mean_absolute_error: 0.1831, 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: 0.9941, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0008, scimark_benchmark: 1244.381, usercpu_time_millis: 7.881, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 7.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.2947, 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: 0.993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9951, scimark_benchmark: 1253.8363, usercpu_time_millis: 8.759, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 8.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.8634, kappa: 0.1115, kb_relative_information_score: -21.4042, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.87, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9702, scimark_benchmark: 1276.373, usercpu_time_millis: 18.047, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 17.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.4917, 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: 0.9519, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.973, scimark_benchmark: 1243.2775, usercpu_time_millis: 16.021, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 15.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 83.7819, mean_absolute_error: 0.1752, 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: 0.9512, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9726, scimark_benchmark: 1254.3687, usercpu_time_millis: 15.706, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 15.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.8653, kappa: 0.12, kb_relative_information_score: 67.4974, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8885, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.974, scimark_benchmark: 1277.6015, usercpu_time_millis: 17.594, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 17.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.8586, kappa: 0.0752, kb_relative_information_score: -58.9907, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9551, scimark_benchmark: 1278.3075, usercpu_time_millis: 4.44, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 4.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.8128, 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: 0.9852, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9906, scimark_benchmark: 1273.6193, usercpu_time_millis: 8.001, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 7.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -17.2729, mean_absolute_error: 0.1796, 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: 0.975, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9854, scimark_benchmark: 1269.6857, usercpu_time_millis: 7.101, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 6.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: 4.5337, mean_absolute_error: 0.1826, 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: 0.9913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.998, scimark_benchmark: 1242.7534, usercpu_time_millis: 4.883, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.8492, kb_relative_information_score: 4.5732, 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: 0.3027, root_relative_squared_error: 0.9987, scimark_benchmark: 1233.294, usercpu_time_millis: 4.659, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -35.7162, mean_absolute_error: 0.1833, 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: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9948, scimark_benchmark: 1269.5426, usercpu_time_millis: 11.648, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 11.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.863, kappa: 0.1018, kb_relative_information_score: 74.6098, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8895, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9749, scimark_benchmark: 1254.52, usercpu_time_millis: 16.367, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 16.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.8492, kb_relative_information_score: 2.7326, 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: 0.3033, root_relative_squared_error: 1.0005, scimark_benchmark: 1238.0996, usercpu_time_millis: 4.834, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4776, f_measure: 0.8492, kb_relative_information_score: 6.0239, 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: 0.9958, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9987, scimark_benchmark: 1277.3405, usercpu_time_millis: 5.169, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 5.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.8492, kb_relative_information_score: 2.913, 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: 0.9971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1265.9277, usercpu_time_millis: 6.089, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 5.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.9046, 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: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1228.9494, usercpu_time_millis: 4.701, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.612,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -26.7305, mean_absolute_error: 0.1818, 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: 0.9873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9924, scimark_benchmark: 1259.5477, usercpu_time_millis: 8.574, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 8.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4641, f_measure: 0.8492, kb_relative_information_score: 6.8145, mean_absolute_error: 0.1833, 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: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9984, scimark_benchmark: 1257.3435, usercpu_time_millis: 6.193, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 6.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -31.1593, 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: 0.9941, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1259.6092, usercpu_time_millis: 13.898, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 13.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.8495, kappa: 0.006, kb_relative_information_score: -80.8248, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8265, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9873, scimark_benchmark: 1285.0183, usercpu_time_millis: 3.9, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -21.9503, mean_absolute_error: 0.1815, 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: 0.9853, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9948, scimark_benchmark: 1251.6502, usercpu_time_millis: 6.729, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 6.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -24.4526, mean_absolute_error: 0.1812, 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: 0.9837, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9896, scimark_benchmark: 1284.1184, usercpu_time_millis: 6.045, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 5.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.8808, mean_absolute_error: 0.1826, 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: 0.9916, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9944, scimark_benchmark: 1279.7965, usercpu_time_millis: 7.461, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 7.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.7189, 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: 0.9469, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9711, scimark_benchmark: 1254.0376, usercpu_time_millis: 16.125, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 15.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -36.9932, mean_absolute_error: 0.1835, 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: 0.9965, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9951, scimark_benchmark: 1257.0818, usercpu_time_millis: 12.533, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 12.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.077, 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: 0.9477, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9714, scimark_benchmark: 1258.2536, usercpu_time_millis: 15.238, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 14.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 6.733, 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: 0.9929, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9965, scimark_benchmark: 1252.4746, usercpu_time_millis: 4.872, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 4.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.8492, kb_relative_information_score: 2.4597, 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: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1244.4707, usercpu_time_millis: 5.761, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -41.3219, mean_absolute_error: 0.1839, 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: 0.9983, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9945, scimark_benchmark: 1281.8192, usercpu_time_millis: 15.336, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 15.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -45.6288, 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: 1276.3285, usercpu_time_millis: 26.344, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 26.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.8513, kappa: 0.0182, kb_relative_information_score: -9.9953, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8475, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9889, scimark_benchmark: 1251.4587, usercpu_time_millis: 5.77, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 5.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 79.8392, mean_absolute_error: 0.1755, 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: 0.953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9729, scimark_benchmark: 1252.6142, usercpu_time_millis: 5.503, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 5.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.3685, mean_absolute_error: 0.1834, 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: 0.996, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002, scimark_benchmark: 1280.6396, usercpu_time_millis: 4.864, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.8492, kb_relative_information_score: -2.7842, 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: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.999, scimark_benchmark: 1286.5615, usercpu_time_millis: 7.421, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 7.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -62.023, 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: 0.9855, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1285.0855, usercpu_time_millis: 236.778, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 236.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.8523, kappa: 0.0222, kb_relative_information_score: -49.8609, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9091, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1289.7759, usercpu_time_millis: 34.642, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 34.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.8645, kappa: 0.1165, kb_relative_information_score: 63.5884, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8799, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9742, scimark_benchmark: 1285.4573, usercpu_time_millis: 22.245, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 21.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.8626, kappa: 0.1082, kb_relative_information_score: -150.4757, mean_absolute_error: 0.1651, 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: 0.8966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.954, scimark_benchmark: 1256.5702, usercpu_time_millis: 16.197, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 15.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.8632, kappa: 0.1067, kb_relative_information_score: -19.8763, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8774, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9745, scimark_benchmark: 1278.8771, usercpu_time_millis: 17.426, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 17.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -45.4, 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: 0.3013, root_relative_squared_error: 0.9939, scimark_benchmark: 1248.045, usercpu_time_millis: 17.974, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 17.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -45.6974, mean_absolute_error: 0.1804, 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: 0.9793, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9848, scimark_benchmark: 1285.0876, usercpu_time_millis: 6.059, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 5.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.8618, kappa: 0.105, kb_relative_information_score: -70.6381, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8604, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9577, scimark_benchmark: 1280.1457, usercpu_time_millis: 7.656, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 7.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.8492, kb_relative_information_score: -5.463, mean_absolute_error: 0.1838, 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: 0.9981, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002, scimark_benchmark: 1259.9671, usercpu_time_millis: 6.746, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 6.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.8653, kappa: 0.1355, kb_relative_information_score: -130.3813, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8628, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9446, scimark_benchmark: 1254.1901, usercpu_time_millis: 10.785, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 10.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -62.4465, mean_absolute_error: 0.1814, 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: 0.9851, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.992, scimark_benchmark: 1251.7498, usercpu_time_millis: 786.588, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 786.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, f_measure: 0.8492, kb_relative_information_score: 1.8285, mean_absolute_error: 0.1838, 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: 0.9977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1263.9104, usercpu_time_millis: 5.103, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -61.7824, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9896, scimark_benchmark: 1258.4558, usercpu_time_millis: 11.774, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 11.685,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs