OpenML
Supervised Classification on ohscal.wc

Supervised Classification on ohscal.wc

Task 3534 Supervised Classification ohscal.wc 158 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.6721, kappa: 0.6133, kb_relative_information_score: 6391.2181, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.749, predictive_accuracy: 0.6529, prior_entropy: 3.2759, recall: 0.6529, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, kappa: 0.1095, kb_relative_information_score: 1261.2651, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, predictive_accuracy: 0.2358, prior_entropy: 3.2759, recall: 0.2358, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.6736, kappa: 0.6286, kb_relative_information_score: 7050.0428, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6909, predictive_accuracy: 0.6677, prior_entropy: 3.2759, recall: 0.6677, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.6677, kappa: 0.6289, kb_relative_information_score: 7220.0557, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 3.2759, recall: 0.6684, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.6912, kappa: 0.6546, kb_relative_information_score: 7490.3935, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6916, predictive_accuracy: 0.6914, prior_entropy: 3.2759, recall: 0.6914, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7629, kappa: 0.736, kb_relative_information_score: 2973.0343, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7644, predictive_accuracy: 0.7644, prior_entropy: 3.2759, recall: 0.7644, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7746, kappa: 0.7466, kb_relative_information_score: 8013.5535, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7769, predictive_accuracy: 0.7735, prior_entropy: 3.2759, recall: 0.7735, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7231, kappa: 0.6838, kb_relative_information_score: 7363.7112, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7413, predictive_accuracy: 0.7185, prior_entropy: 3.2759, recall: 0.7185, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.7186, kappa: 0.6841, kb_relative_information_score: 7468.9224, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7216, predictive_accuracy: 0.718, prior_entropy: 3.2759, recall: 0.718, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.1323, kappa: 0.1095, kb_relative_information_score: 1261.2675, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.1146, predictive_accuracy: 0.2358, prior_entropy: 3.2759, recall: 0.2358, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0368, kappa: 0.0262, kb_relative_information_score: 655.1186, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.0598, predictive_accuracy: 0.0889, prior_entropy: 3.2759, recall: 0.0889, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7333, kappa: 0.6999, kb_relative_information_score: 7991.5838, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7385, predictive_accuracy: 0.7317, prior_entropy: 3.2759, recall: 0.7317, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.0961, kappa: 0.0442, kb_relative_information_score: 1660.3153, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.5624, predictive_accuracy: 0.1525, prior_entropy: 3.2759, recall: 0.1525, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7231, kappa: 0.6838, kb_relative_information_score: 7363.7112, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7413, predictive_accuracy: 0.7185, prior_entropy: 3.2759, recall: 0.7185, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.7307, kappa: 0.6974, kb_relative_information_score: 7410.9641, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7366, predictive_accuracy: 0.7296, prior_entropy: 3.2759, recall: 0.7296, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.4837, kappa: 0.4225, kb_relative_information_score: 4972.7551, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.4845, predictive_accuracy: 0.484, prior_entropy: 3.2759, recall: 0.484, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7074, kappa: 0.6728, kb_relative_information_score: 7662.0855, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 3.2759, recall: 0.7076, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.6962, kappa: 0.6542, kb_relative_information_score: 7235.4704, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7123, predictive_accuracy: 0.6908, prior_entropy: 3.2759, recall: 0.6908, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.6799, kappa: 0.6324, kb_relative_information_score: 5365.5824, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7206, predictive_accuracy: 0.6716, prior_entropy: 3.2759, recall: 0.6716, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.7834, kappa: 0.7578, kb_relative_information_score: 8684.1736, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7835, predictive_accuracy: 0.7836, prior_entropy: 3.2759, recall: 0.7836, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.7831, kappa: 0.7595, kb_relative_information_score: 6437.3022, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7872, predictive_accuracy: 0.7854, prior_entropy: 3.2759, recall: 0.7854, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.3244, kappa: 0.245, kb_relative_information_score: 3344.3094, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.3236, predictive_accuracy: 0.3259, prior_entropy: 3.2759, recall: 0.3259, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3577, root_relative_squared_error: 1.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.7632, kappa: 0.7336, kb_relative_information_score: 7792.3409, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7662, predictive_accuracy: 0.7619, prior_entropy: 3.2759, recall: 0.7619, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7888, kappa: 0.7637, kb_relative_information_score: 8185.8267, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7897, predictive_accuracy: 0.7888, prior_entropy: 3.2759, recall: 0.7888, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.7582, kappa: 0.7307, kb_relative_information_score: 6764.402, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7603, predictive_accuracy: 0.7596, prior_entropy: 3.2759, recall: 0.7596, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.637, kappa: 0.5938, kb_relative_information_score: 6794.4451, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6935, predictive_accuracy: 0.6407, prior_entropy: 3.2759, recall: 0.6407, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7199, kappa: 0.686, kb_relative_information_score: 7651.4456, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7208, predictive_accuracy: 0.7193, prior_entropy: 3.2759, recall: 0.7193, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.7492, kappa: 0.729, kb_relative_information_score: 4909.8102, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7682, predictive_accuracy: 0.7589, prior_entropy: 3.2759, recall: 0.7589, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.6005, kappa: 0.5537, kb_relative_information_score: 6658.636, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6362, predictive_accuracy: 0.6011, prior_entropy: 3.2759, recall: 0.6011, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.727, kappa: 0.6945, kb_relative_information_score: 6660.0533, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7289, predictive_accuracy: 0.7269, prior_entropy: 3.2759, recall: 0.7269, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.741, kappa: 0.7095, kb_relative_information_score: 7753.6781, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7441, predictive_accuracy: 0.7404, prior_entropy: 3.2759, recall: 0.7404, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.6752, kappa: 0.6212, kb_relative_information_score: 6387.974, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7167, predictive_accuracy: 0.6638, prior_entropy: 3.2759, recall: 0.6638, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.7072, kappa: 0.6739, kb_relative_information_score: 6764.6461, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.709, predictive_accuracy: 0.7091, prior_entropy: 3.2759, recall: 0.7091, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.7612, kappa: 0.7375, kb_relative_information_score: 5860.7097, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.768, predictive_accuracy: 0.7661, prior_entropy: 3.2759, recall: 0.7661, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.7501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.6453, kappa: 0.6029, kb_relative_information_score: 6699.1244, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6488, predictive_accuracy: 0.6446, prior_entropy: 3.2759, recall: 0.6446, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7199, kappa: 0.686, kb_relative_information_score: 7651.4456, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7208, predictive_accuracy: 0.7193, prior_entropy: 3.2759, recall: 0.7193, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7199, kappa: 0.686, kb_relative_information_score: 7651.4456, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7208, predictive_accuracy: 0.7193, prior_entropy: 3.2759, recall: 0.7193, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7184, kappa: 0.6944, kb_relative_information_score: 5013.1669, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7315, predictive_accuracy: 0.7281, prior_entropy: 3.2759, recall: 0.7281, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7199, kappa: 0.686, kb_relative_information_score: 7651.4456, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7208, predictive_accuracy: 0.7193, prior_entropy: 3.2759, recall: 0.7193, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7199, kappa: 0.686, kb_relative_information_score: 7651.4456, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7208, predictive_accuracy: 0.7193, prior_entropy: 3.2759, recall: 0.7193, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.791, kappa: 0.767, kb_relative_information_score: 7199.0444, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7928, predictive_accuracy: 0.792, prior_entropy: 3.2759, recall: 0.792, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7911, kappa: 0.7675, kb_relative_information_score: 6991.7835, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7934, predictive_accuracy: 0.7925, prior_entropy: 3.2759, recall: 0.7925, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7885, kappa: 0.7651, kb_relative_information_score: 6699.8163, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7921, predictive_accuracy: 0.7905, prior_entropy: 3.2759, recall: 0.7905, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.7688, kappa: 0.7461, kb_relative_information_score: 6069.2973, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7766, predictive_accuracy: 0.7737, prior_entropy: 3.2759, recall: 0.7737, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.22, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.6591, kappa: 0.6266, kb_relative_information_score: 4928.0831, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.665, predictive_accuracy: 0.6677, prior_entropy: 3.2759, recall: 0.6677, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7515, kappa: 0.7281, kb_relative_information_score: 5541.2829, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7617, predictive_accuracy: 0.7578, prior_entropy: 3.2759, recall: 0.7578, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.7712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6939, kappa: 0.6685, kb_relative_information_score: 4610.2516, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7112, predictive_accuracy: 0.7053, prior_entropy: 3.2759, recall: 0.7053, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8277,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7245, kappa: 0.6917, kb_relative_information_score: 7280.3795, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7274, predictive_accuracy: 0.7243, prior_entropy: 3.2759, recall: 0.7243, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6789,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7429, kappa: 0.7116, kb_relative_information_score: 7633.6378, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7459, predictive_accuracy: 0.7423, prior_entropy: 3.2759, recall: 0.7423, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.6336, kappa: 0.5889, kb_relative_information_score: 2466.1579, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6386, predictive_accuracy: 0.6319, prior_entropy: 3.2759, recall: 0.6319, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.219, kappa: 0.1449, kb_relative_information_score: 2194.3953, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.3379, predictive_accuracy: 0.2403, prior_entropy: 3.2759, recall: 0.2403, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.304,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.5526, kappa: 0.499, kb_relative_information_score: 5878.806, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.5536, predictive_accuracy: 0.5524, prior_entropy: 3.2759, recall: 0.5524, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.7414, kappa: 0.7097, kb_relative_information_score: 7677.1439, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7438, predictive_accuracy: 0.7405, prior_entropy: 3.2759, recall: 0.7405, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.739, kappa: 0.7068, kb_relative_information_score: 7697.8057, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7413, predictive_accuracy: 0.7379, prior_entropy: 3.2759, recall: 0.7379, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6743,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.1323, kappa: 0.1095, kb_relative_information_score: 1950.2674, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.1146, predictive_accuracy: 0.2358, prior_entropy: 3.2759, recall: 0.2358, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3909, root_relative_squared_error: 1.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.7655, kappa: 0.737, kb_relative_information_score: 8195.4657, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7674, predictive_accuracy: 0.7648, prior_entropy: 3.2759, recall: 0.7648, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.626,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7138, kappa: 0.6791, kb_relative_information_score: 7600.5956, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7155, predictive_accuracy: 0.7131, prior_entropy: 3.2759, recall: 0.7131, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.7588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.2022, kappa: 0.1644, kb_relative_information_score: 1331.2438, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.2027, predictive_accuracy: 0.2818, prior_entropy: 3.2759, recall: 0.2818, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.286, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.6206, kappa: 0.5784, kb_relative_information_score: 370.1864, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.638, predictive_accuracy: 0.6252, prior_entropy: 3.2759, recall: 0.6252, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.1323, kappa: 0.1095, kb_relative_information_score: 1261.6541, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.1146, predictive_accuracy: 0.2358, prior_entropy: 3.2759, recall: 0.2358, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.5812, kappa: 0.5298, kb_relative_information_score: 370.0796, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.5971, predictive_accuracy: 0.5812, prior_entropy: 3.2759, recall: 0.5812, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.637, kappa: 0.5938, kb_relative_information_score: 6794.4451, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6935, predictive_accuracy: 0.6407, prior_entropy: 3.2759, recall: 0.6407, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7442, kappa: 0.7139, kb_relative_information_score: 2951.3117, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7448, predictive_accuracy: 0.7443, prior_entropy: 3.2759, recall: 0.7443, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7442, kappa: 0.7139, kb_relative_information_score: 2951.3117, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.7448, predictive_accuracy: 0.7443, prior_entropy: 3.2759, recall: 0.7443, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.0368, kb_relative_information_score: 0.5551, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.0211, predictive_accuracy: 0.1452, prior_entropy: 3.2759, recall: 0.1452, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2989, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.6336, kappa: 0.5889, kb_relative_information_score: 6830.4559, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.6386, predictive_accuracy: 0.6319, prior_entropy: 3.2759, recall: 0.6319, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.1323, kappa: 0.1095, kb_relative_information_score: 1261.2675, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.1146, predictive_accuracy: 0.2358, prior_entropy: 3.2759, recall: 0.2358, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.219, kappa: 0.1449, kb_relative_information_score: 2193.7074, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.3379, predictive_accuracy: 0.2403, prior_entropy: 3.2759, recall: 0.2403, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.3033,

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

OpenML APIs