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: 0.5989, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 75.4426, 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: 0.9529, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9736, scimark_benchmark: 1255.5814, usercpu_time_millis: 16.081, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 15.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.8492, kb_relative_information_score: -38.7053, 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: 0.9977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9946, scimark_benchmark: 1267.4485, usercpu_time_millis: 14.186, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 14.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8619, kappa: 0.1096, kb_relative_information_score: -125.7015, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8575, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9572, scimark_benchmark: 1261.6632, usercpu_time_millis: 8.503, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 8.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -4.0171, 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: 0.2999, root_relative_squared_error: 0.9892, scimark_benchmark: 1280.6159, usercpu_time_millis: 5.347, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.8636, kappa: 0.1084, kb_relative_information_score: 53.6812, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8816, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9754, scimark_benchmark: 1252.0132, usercpu_time_millis: 18.499, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 18.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.0704, 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: 1259.5948, usercpu_time_millis: 15.716, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 15.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -44.7533, 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: 0.9981, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.994, scimark_benchmark: 1285.6135, usercpu_time_millis: 16.619, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 16.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 79.759, mean_absolute_error: 0.1758, 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: 0.9544, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.974, scimark_benchmark: 1258.4599, usercpu_time_millis: 14.366, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 14.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.9197, 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: 1.0005, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1257.0918, usercpu_time_millis: 4.441, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8664, kappa: 0.1324, kb_relative_information_score: -18.4687, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8777, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9684, scimark_benchmark: 1254.182, usercpu_time_millis: 17.211, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 16.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.8575, kappa: 0.0706, kb_relative_information_score: -27.0114, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9696, scimark_benchmark: 1251.6843, usercpu_time_millis: 5.854, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 5.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.8881, 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: 1283.2868, usercpu_time_millis: 3.967, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -10.726, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9951, scimark_benchmark: 1255.6523, usercpu_time_millis: 5.124, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 5.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.8492, kb_relative_information_score: 2.1874, 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: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1262.0764, usercpu_time_millis: 7.312, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 7.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -31.484, mean_absolute_error: 0.1815, 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: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9902, scimark_benchmark: 1250.5248, usercpu_time_millis: 6.62, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 6.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 73.275, mean_absolute_error: 0.1748, 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: 0.9489, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9726, scimark_benchmark: 1254.5667, usercpu_time_millis: 17.91, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 17.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.8522, kappa: 0.0313, kb_relative_information_score: -52.1149, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8388, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9771, scimark_benchmark: 1283.7723, usercpu_time_millis: 8.695, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 8.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.8492, kb_relative_information_score: 2.1416, 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: 0.9976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1280.155, usercpu_time_millis: 6.361, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 6.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8514, kappa: 0.0235, kb_relative_information_score: -45.0907, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8376, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.9651, scimark_benchmark: 1258.5551, usercpu_time_millis: 4.698, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 4.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.8492, kb_relative_information_score: 2.5736, 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: 1273.7997, usercpu_time_millis: 4.239, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -6.401, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9925, scimark_benchmark: 1283.1772, usercpu_time_millis: 6.841, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 6.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -36.8134, mean_absolute_error: 0.1806, 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: 0.9803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9865, scimark_benchmark: 1255.2081, usercpu_time_millis: 5.699, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 5.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 83.0225, 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: 0.2951, root_relative_squared_error: 0.9736, scimark_benchmark: 1272.9022, usercpu_time_millis: 14.914, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 14.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.5235, 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: 1.0001, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0028, scimark_benchmark: 1251.7964, usercpu_time_millis: 4.392, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.8637, kappa: 0.1132, kb_relative_information_score: 35.6783, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.873, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9748, scimark_benchmark: 1252.4723, usercpu_time_millis: 19.675, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 19.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -37.7009, mean_absolute_error: 0.1805, 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: 0.9802, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9862, scimark_benchmark: 1255.7397, usercpu_time_millis: 6.637, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 6.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.8624, kappa: 0.1034, kb_relative_information_score: -94.2198, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8703, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9617, scimark_benchmark: 1281.9037, usercpu_time_millis: 15.778, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 15.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.851, kappa: 0.0168, kb_relative_information_score: -93.5365, mean_absolute_error: 0.1783, 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: 0.9679, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9867, scimark_benchmark: 1251.4227, usercpu_time_millis: 4.676, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 4.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.8492, kb_relative_information_score: -9.3662, mean_absolute_error: 0.183, 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: 0.9936, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0001, scimark_benchmark: 1251.0478, usercpu_time_millis: 7.648, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 7.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.8596, kappa: 0.0837, kb_relative_information_score: -27.4518, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8642, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.293, root_relative_squared_error: 0.9667, scimark_benchmark: 1276.5237, usercpu_time_millis: 6.684, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 6.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.863, kappa: 0.1018, kb_relative_information_score: 70.1643, mean_absolute_error: 0.1762, 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: 0.9567, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9761, scimark_benchmark: 1247.9727, usercpu_time_millis: 9.3, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 9.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -61.6185, mean_absolute_error: 0.18, 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: 0.9776, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9906, scimark_benchmark: 1265.8419, usercpu_time_millis: 11.856, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 11.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.8506, kappa: 0.0155, kb_relative_information_score: -13.1604, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8357, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9868, scimark_benchmark: 1286.7054, usercpu_time_millis: 6.252, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 6.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -33.6649, mean_absolute_error: 0.1798, 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: 0.9763, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9838, scimark_benchmark: 1282.5458, usercpu_time_millis: 6.25, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 6.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -5.8863, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.988, scimark_benchmark: 1289.133, usercpu_time_millis: 7.222, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 7.12,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.8492, kb_relative_information_score: -39.0028, 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: 1277.4894, usercpu_time_millis: 13.837, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 13.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.8492, kb_relative_information_score: 5.761, 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: 0.3027, root_relative_squared_error: 0.9987, scimark_benchmark: 1257.4896, usercpu_time_millis: 5.21, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.6753, mean_absolute_error: 0.1822, 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: 0.9892, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.993, scimark_benchmark: 1282.9799, usercpu_time_millis: 7.276, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 7.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.6755, 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: 0.9526, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9733, scimark_benchmark: 1250.1946, usercpu_time_millis: 15.046, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 14.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -45.5458, 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: 0.9943, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9925, scimark_benchmark: 1278.475, usercpu_time_millis: 23.995, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 23.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.8503, kappa: 0.0142, kb_relative_information_score: -21.9112, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.832, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9813, scimark_benchmark: 1254.7827, usercpu_time_millis: 6.939, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 6.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8622, kappa: 0.1066, kb_relative_information_score: -152.4508, mean_absolute_error: 0.1649, 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: 0.8952, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9531, scimark_benchmark: 1250.9792, usercpu_time_millis: 14.195, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 13.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -84.6579, mean_absolute_error: 0.1823, 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: 0.9898, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9974, scimark_benchmark: 1273.3189, usercpu_time_millis: 19.37, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 19.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.8492, kb_relative_information_score: -3.1925, 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: 0.9953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9987, scimark_benchmark: 1256.1203, usercpu_time_millis: 4.776, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.8492, kb_relative_information_score: 4.7812, 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: 0.9964, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9994, scimark_benchmark: 1274.4954, usercpu_time_millis: 4.382, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.851, kappa: 0.0168, kb_relative_information_score: -51.7109, mean_absolute_error: 0.1767, 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: 0.9594, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9829, scimark_benchmark: 1252.5903, usercpu_time_millis: 4.633, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 4.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4735, f_measure: 0.8492, kb_relative_information_score: 6.7912, 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: 0.9951, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9985, scimark_benchmark: 1286.8602, usercpu_time_millis: 4.316, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -84.9504, mean_absolute_error: 0.1826, 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: 0.9913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9945, scimark_benchmark: 1281.0822, usercpu_time_millis: 884.391, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 884.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -47.274, 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: 0.9933, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9922, scimark_benchmark: 1284.0156, usercpu_time_millis: 26.686, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 26.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.8523, kappa: 0.0222, kb_relative_information_score: -47.8342, 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: 0.9913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1284.7216, usercpu_time_millis: 31.718, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 31.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.8612, kappa: 0.0986, kb_relative_information_score: -48.923, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9604, scimark_benchmark: 1276.552, usercpu_time_millis: 6.477, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 6.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.464, f_measure: 0.8492, kb_relative_information_score: 5.5695, 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: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9989, scimark_benchmark: 1282.5285, usercpu_time_millis: 4.644, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.8492, kb_relative_information_score: 2.3144, 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: 0.9967, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1253.9018, usercpu_time_millis: 4.67, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -74.5468, mean_absolute_error: 0.1834, 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: 0.996, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0003, scimark_benchmark: 1259.9142, usercpu_time_millis: 29.933, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 29.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -33.4092, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9683, scimark_benchmark: 1249.2287, usercpu_time_millis: 4.886, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -63.1777, mean_absolute_error: 0.1815, 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: 0.9856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9916, scimark_benchmark: 1245.1594, usercpu_time_millis: 582.705, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 582.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.489, mean_absolute_error: 0.1841, 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: 0.9997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0025, scimark_benchmark: 1253.4457, usercpu_time_millis: 4.48, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.8543, kappa: 0.0491, kb_relative_information_score: -191.5706, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8443, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.9448, scimark_benchmark: 1246.1703, usercpu_time_millis: 7.602, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 7.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.8492, kb_relative_information_score: 3.9037, 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: 0.9969, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1246.7213, usercpu_time_millis: 4.852, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -51.7108, mean_absolute_error: 0.1811, 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: 0.9835, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, scimark_benchmark: 1251.0214, usercpu_time_millis: 110.151, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 110.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -9.1181, 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: 0.9938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9975, scimark_benchmark: 1273.1689, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -20.8777, 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: 0.984, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.991, scimark_benchmark: 1279.432, usercpu_time_millis: 6.522, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 6.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -41.6164, mean_absolute_error: 0.1772, 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: 0.9619, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9757, scimark_benchmark: 1242.0486, usercpu_time_millis: 5.525, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 5.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8492, kb_relative_information_score: 3.2698, 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: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1242.5933, usercpu_time_millis: 5.75, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 5.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -38.7241, mean_absolute_error: 0.1838, 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: 0.9977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9951, scimark_benchmark: 1256.7013, usercpu_time_millis: 13.366, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 13.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.8645, kappa: 0.1165, kb_relative_information_score: 64.0282, 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: 0.9741, scimark_benchmark: 1251.0704, usercpu_time_millis: 18.098, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 17.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -24.1491, mean_absolute_error: 0.1813, 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: 0.9843, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9912, scimark_benchmark: 1280.3935, usercpu_time_millis: 6.861, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 6.747,

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