OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 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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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.866, kappa: 0.1306, kb_relative_information_score: -325.1089, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8748, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9115, scimark_benchmark: 1868.1196, usercpu_time_millis: 23.581, usercpu_time_millis_testing: 1.263, usercpu_time_millis_training: 22.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8513, kappa: 0.0182, kb_relative_information_score: -320.1356, mean_absolute_error: 0.1573, 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: 0.8542, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9215, scimark_benchmark: 1872.9496, usercpu_time_millis: 12.146, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 11.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.8492, kb_relative_information_score: -5.8318, 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: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1854.3038, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8639, kappa: 0.1177, kb_relative_information_score: -278.3693, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8673, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9095, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.994, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 10.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8703, kappa: 0.1712, kb_relative_information_score: -268.1729, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8706, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8939, scimark_benchmark: 1872.4216, usercpu_time_millis: 21.935, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 20.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.8492, kb_relative_information_score: 0.7636, mean_absolute_error: 0.1839, 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: 0.9983, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1864.3739, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8492, kb_relative_information_score: -344.1125, mean_absolute_error: 0.1599, 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: 0.8682, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.9242, scimark_benchmark: 1873.4805, usercpu_time_millis: 1.616, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.8492, kb_relative_information_score: 2.2972, 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: 1, scimark_benchmark: 1878.3273, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8492, kb_relative_information_score: 1.1196, 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: 0.9979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8492, kb_relative_information_score: -366.0804, mean_absolute_error: 0.1607, 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: 0.8723, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9289, scimark_benchmark: 1840.05, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.867, kappa: 0.1424, kb_relative_information_score: -307.838, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.9015, scimark_benchmark: 1866.4683, usercpu_time_millis: 18.012, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 17.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -333.8505, mean_absolute_error: 0.1588, 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: 0.8623, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.9299, scimark_benchmark: 1875.0498, usercpu_time_millis: 16.581, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 16.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8637, kappa: 0.1132, kb_relative_information_score: -367.7834, mean_absolute_error: 0.1603, 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: 0.8703, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9166, scimark_benchmark: 1860.0553, usercpu_time_millis: 17.477, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 16.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8647, kappa: 0.1211, kb_relative_information_score: -304.5653, mean_absolute_error: 0.1565, 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: 0.8498, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9101, scimark_benchmark: 1878.3273, usercpu_time_millis: 2.828, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 2.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8586, kappa: 0.0752, kb_relative_information_score: -391.0304, mean_absolute_error: 0.1628, 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: 0.8839, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.925, scimark_benchmark: 1818.9456, usercpu_time_millis: 1.984, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8641, kappa: 0.1148, kb_relative_information_score: -200.9315, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8762, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8967, scimark_benchmark: 1880.2424, usercpu_time_millis: 3.901, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 3.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.867, kappa: 0.1501, kb_relative_information_score: -302.7298, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8639, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9024, scimark_benchmark: 1866.0005, usercpu_time_millis: 32.985, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 31.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8665, kappa: 0.1366, kb_relative_information_score: -356.4881, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.872, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9096, scimark_benchmark: 1818.3081, usercpu_time_millis: 24.251, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 23.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8492, kb_relative_information_score: -8.1528, mean_absolute_error: 0.1824, 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: 0.9902, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001, scimark_benchmark: 1847.612, usercpu_time_millis: 0.126, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8547, kappa: 0.0459, kb_relative_information_score: -341.3711, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8545, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.9218, scimark_benchmark: 1873.0711, usercpu_time_millis: 2.351, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 2.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8492, kb_relative_information_score: -341.8346, mean_absolute_error: 0.1607, 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: 0.8723, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.9261, scimark_benchmark: 1825.6513, usercpu_time_millis: 4.547, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 4.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8645, kappa: 0.1281, kb_relative_information_score: -305.1825, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8622, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9019, scimark_benchmark: 1872.0299, usercpu_time_millis: 8.392, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 8.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8787, kappa: 0.2371, kb_relative_information_score: -250.4877, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8918, scimark_benchmark: 1878.7854, usercpu_time_millis: 31.887, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 30.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8651, kappa: 0.1228, kb_relative_information_score: -335.2298, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8754, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9181, scimark_benchmark: 1868.1832, usercpu_time_millis: 31.465, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 30.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8492, kb_relative_information_score: 3.2686, 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: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1876.7581, usercpu_time_millis: 2.62, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -305.0809, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.9305, scimark_benchmark: 1846.0549, usercpu_time_millis: 4.995, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.851, kappa: 0.0168, kb_relative_information_score: -397.4506, mean_absolute_error: 0.165, 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: 0.8958, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.926, scimark_benchmark: 1878.1423, usercpu_time_millis: 3.125, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8492, kb_relative_information_score: -401.9842, mean_absolute_error: 0.163, 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: 0.8849, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9323, scimark_benchmark: 1823.238, usercpu_time_millis: 4.051, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -288.029, mean_absolute_error: 0.1602, 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: 0.8698, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9159, scimark_benchmark: 1846.1779, usercpu_time_millis: 9.525, usercpu_time_millis_testing: 1.328, usercpu_time_millis_training: 8.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8492, kb_relative_information_score: 2.3731, 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: 1, scimark_benchmark: 1878.3273, usercpu_time_millis: 2.128, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8601, kappa: 0.0938, kb_relative_information_score: -269.7337, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8557, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9221, scimark_benchmark: 1836.5407, usercpu_time_millis: 46.191, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 45.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8791, kappa: 0.2391, kb_relative_information_score: -269.8219, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8793, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.8962, scimark_benchmark: 1847.084, usercpu_time_millis: 14.457, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 13.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -361.6119, mean_absolute_error: 0.1618, 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: 0.8786, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9277, scimark_benchmark: 1879.0414, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 4.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8518, kappa: 0.0249, kb_relative_information_score: -317.7726, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8411, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9164, scimark_benchmark: 1869.3192, usercpu_time_millis: 5.077, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8479, kappa: -0.005, kb_relative_information_score: -377.1331, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8055, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.9196, scimark_benchmark: 1867.5457, usercpu_time_millis: 7.112, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 6.228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8669, kappa: 0.1572, kb_relative_information_score: -227.3029, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8603, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.922, scimark_benchmark: 1872.0845, usercpu_time_millis: 32.167, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 31.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8669, kappa: 0.1383, kb_relative_information_score: -364.9072, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8744, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9095, scimark_benchmark: 1745.8253, usercpu_time_millis: 20.846, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 20.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8687, kappa: 0.1606, kb_relative_information_score: -310.1208, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8673, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.91, scimark_benchmark: 1874.977, usercpu_time_millis: 45.382, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 44.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8795, kappa: 0.2564, kb_relative_information_score: -225.4657, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8748, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9009, scimark_benchmark: 1829.5358, usercpu_time_millis: 31.346, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 30.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8795, kappa: 0.2564, kb_relative_information_score: -226.0526, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8748, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9037, scimark_benchmark: 1845.5248, usercpu_time_millis: 30.204, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 29.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8722, kappa: 0.1897, kb_relative_information_score: -282.0239, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8702, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.8991, scimark_benchmark: 1855.873, usercpu_time_millis: 46.196, usercpu_time_millis_testing: 1.774, usercpu_time_millis_training: 44.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8799, kappa: 0.267, kb_relative_information_score: -162.9815, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8739, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.8992, scimark_benchmark: 1826.1094, usercpu_time_millis: 35.777, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 34.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -357.2528, mean_absolute_error: 0.1585, 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: 0.8605, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.9252, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.8492, kb_relative_information_score: -4.5437, mean_absolute_error: 0.1839, 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: 0.9985, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1830.9899, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.8492, kb_relative_information_score: -252.7035, mean_absolute_error: 0.1646, 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: 0.8936, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9399, scimark_benchmark: 1865.1967, usercpu_time_millis: 1.249, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.8492, kb_relative_information_score: 2.3706, 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: 1, scimark_benchmark: 1835.1595, usercpu_time_millis: 1.771, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8492, kb_relative_information_score: -350.4984, mean_absolute_error: 0.1606, 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: 0.8721, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.9258, scimark_benchmark: 1815.2422, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.8492, kb_relative_information_score: -379.3175, mean_absolute_error: 0.1695, 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: 0.9201, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.288, root_relative_squared_error: 0.95, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.71, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8735, kappa: 0.2123, kb_relative_information_score: -205.4044, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8674, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9103, scimark_benchmark: 1877.7472, usercpu_time_millis: 2.959, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 2.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.8492, kb_relative_information_score: -372.0976, mean_absolute_error: 0.1675, 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: 0.9093, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.9433, scimark_benchmark: 1850.7491, usercpu_time_millis: 3.205, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 2.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -266.0864, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8317, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9096, scimark_benchmark: 1833.5175, usercpu_time_millis: 2.917, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -335.9009, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8317, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.916, scimark_benchmark: 1875.5079, usercpu_time_millis: 4.363, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 3.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -334.0196, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.9175, scimark_benchmark: 1831.5209, usercpu_time_millis: 5.168, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 4.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -343.9507, mean_absolute_error: 0.1592, 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: 0.8644, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.28, root_relative_squared_error: 0.9236, scimark_benchmark: 1826.6374, usercpu_time_millis: 5.627, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 5.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8492, kb_relative_information_score: -363.1341, mean_absolute_error: 0.1607, 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: 0.8727, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.9294, scimark_benchmark: 1830.0638, usercpu_time_millis: 5.713, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 5.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.88, kappa: 0.249, kb_relative_information_score: -253.0133, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8785, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9001, scimark_benchmark: 1851.2072, usercpu_time_millis: 49.014, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 47.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8492, kb_relative_information_score: -409.7548, mean_absolute_error: 0.1641, 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: 0.8908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.935, scimark_benchmark: 1821.2227, usercpu_time_millis: 5.699, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 5.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8655, kappa: 0.1245, kb_relative_information_score: -291.3707, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8787, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.911, scimark_benchmark: 1863.7397, usercpu_time_millis: 6.499, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 6.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8483, kappa: -0.0038, kb_relative_information_score: -264.8811, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9124, scimark_benchmark: 1833.0594, usercpu_time_millis: 7.941, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 7.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8741, kappa: 0.2046, kb_relative_information_score: -281.9831, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8721, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9014, scimark_benchmark: 1833.639, usercpu_time_millis: 8.707, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 8.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8807, kappa: 0.285, kb_relative_information_score: -165.6653, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8741, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.277, root_relative_squared_error: 0.9139, scimark_benchmark: 1865.8853, usercpu_time_millis: 10.096, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 9.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8699, kappa: 0.1624, kb_relative_information_score: -287.6177, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8759, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.8988, scimark_benchmark: 1851.2072, usercpu_time_millis: 10.096, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 9.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8722, kappa: 0.1897, kb_relative_information_score: -274.4015, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8702, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9, scimark_benchmark: 1873.9387, usercpu_time_millis: 46.876, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 45.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8492, kb_relative_information_score: -372.6276, mean_absolute_error: 0.1611, 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: 0.8749, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9291, scimark_benchmark: 1876.6882, usercpu_time_millis: 13.42, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 12.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8586, kappa: 0.0752, kb_relative_information_score: -366.1038, mean_absolute_error: 0.1604, 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: 0.8709, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.9201, scimark_benchmark: 1830.5948, usercpu_time_millis: 14.48, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 13.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8701, kappa: 0.1777, kb_relative_information_score: -320.281, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.9016, scimark_benchmark: 1872.4216, usercpu_time_millis: 51.256, usercpu_time_millis_testing: 1.395, usercpu_time_millis_training: 49.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8492, kb_relative_information_score: -345.6419, mean_absolute_error: 0.1604, 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: 0.8708, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.926, scimark_benchmark: 1876.7581, usercpu_time_millis: 5.618, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 5.21,

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