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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143129 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, 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: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -131.5598, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.8661, kappa: 0.2407, kb_relative_information_score: -193.1373, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.861, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.8629, kappa: 0.2365, kb_relative_information_score: -6.4749, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8663, prior_entropy: 0.478, recall: 0.8663, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.856, kappa: 0.1045, kb_relative_information_score: -222.325, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8412, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, 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: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.8624, kappa: 0.1667, kb_relative_information_score: -143.7349, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8512, predictive_accuracy: 0.8804, prior_entropy: 0.478, recall: 0.8804, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.315, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.8628, kappa: 0.1374, kb_relative_information_score: -127.4447, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8521, predictive_accuracy: 0.8893, prior_entropy: 0.478, recall: 0.8893, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.8578, kappa: 0.2357, kb_relative_information_score: -77.6756, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8596, predictive_accuracy: 0.856, prior_entropy: 0.478, recall: 0.856, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3782, root_relative_squared_error: 1.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.8685, kappa: 0.2235, kb_relative_information_score: -103.2347, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -131.5598, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8561, kappa: 0.1568, kb_relative_information_score: -180.0404, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8465, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.8629, kappa: 0.2394, kb_relative_information_score: -11.7501, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8603, predictive_accuracy: 0.8656, prior_entropy: 0.478, recall: 0.8656, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.361, root_relative_squared_error: 1.1908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.8556, kappa: 0.099, kb_relative_information_score: -223.3988, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8405, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.8561, kappa: 0.0961, kb_relative_information_score: -214.4246, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.841, predictive_accuracy: 0.8836, prior_entropy: 0.478, recall: 0.8836, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.8535, kappa: 0.0693, kb_relative_information_score: -141.0826, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8365, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.8483, kappa: 0.0066, kb_relative_information_score: -99.9944, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8207, predictive_accuracy: 0.8912, prior_entropy: 0.478, recall: 0.8912, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3059, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, 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: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.8672, kappa: 0.2054, kb_relative_information_score: -179.077, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3081, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.8648, kappa: 0.2634, kb_relative_information_score: -38.3931, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8646, predictive_accuracy: 0.865, prior_entropy: 0.478, recall: 0.865, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3532, root_relative_squared_error: 1.1652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.8561, kappa: 0.0961, kb_relative_information_score: -214.4246, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.841, predictive_accuracy: 0.8836, prior_entropy: 0.478, recall: 0.8836, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -68.6245, mean_absolute_error: 0.1803, 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: 0.9788, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.8488, kappa: 0.0034, kb_relative_information_score: -83.4046, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8205, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, 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: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.8604, kappa: 0.0954, kb_relative_information_score: -76.6293, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8576, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, 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: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -131.5598, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.856, kappa: 0.1045, kb_relative_information_score: -222.325, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8412, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.8508, kappa: 0.026, kb_relative_information_score: -96.1035, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8311, predictive_accuracy: 0.8919, prior_entropy: 0.478, recall: 0.8919, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.873, kappa: 0.2271, kb_relative_information_score: -155.2942, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8648, predictive_accuracy: 0.8906, prior_entropy: 0.478, recall: 0.8906, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.8641, kappa: 0.2524, kb_relative_information_score: -61.8707, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8626, predictive_accuracy: 0.8656, prior_entropy: 0.478, recall: 0.8656, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.8639, kappa: 0.2605, kb_relative_information_score: -95.3373, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8637, prior_entropy: 0.478, recall: 0.8637, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3351, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, 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: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.8685, kappa: 0.2235, kb_relative_information_score: -103.2347, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.8639, kappa: 0.2605, kb_relative_information_score: -95.3373, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8637, prior_entropy: 0.478, recall: 0.8637, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3351, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8536, kappa: 0.0463, kb_relative_information_score: -115.7567, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8404, predictive_accuracy: 0.8932, prior_entropy: 0.478, recall: 0.8932, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.867, kappa: 0.1463, kb_relative_information_score: -172.5755, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8665, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9528,

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