OpenML
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 158595 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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158595 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.8103, kappa: 0.1684, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8323, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.8085, kappa: 0.2307, kb_relative_information_score: 0.1469, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8006, predictive_accuracy: 0.8193, prior_entropy: 0.6212, recall: 0.8193, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.425, root_relative_squared_error: 1.1758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.8072, kappa: 0.1524, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.27, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.7858, kappa: 0.0516, kb_relative_information_score: 0.2857, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8316, predictive_accuracy: 0.8487, prior_entropy: 0.6212, recall: 0.8487, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.8116, kappa: 0.1731, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8401, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.27, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7772, kappa: 0.1336, kb_relative_information_score: -0.0345, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7736, predictive_accuracy: 0.7809, prior_entropy: 0.6212, recall: 0.7809, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.468, root_relative_squared_error: 1.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.8056, kappa: 0.1437, kb_relative_information_score: 0.3193, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8429, predictive_accuracy: 0.8559, prior_entropy: 0.6212, recall: 0.8559, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.8182, kappa: 0.2096, kb_relative_information_score: 0.3215, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8302, predictive_accuracy: 0.8563, prior_entropy: 0.6212, recall: 0.8563, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.8015, kappa: 0.1334, kb_relative_information_score: 0.2723, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8035, predictive_accuracy: 0.8459, prior_entropy: 0.6212, recall: 0.8459, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.828, kappa: 0.2626, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.831, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.8137, kappa: 0.1836, kb_relative_information_score: 0.3283, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8394, predictive_accuracy: 0.8578, prior_entropy: 0.6212, recall: 0.8578, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.8046, kappa: 0.1403, kb_relative_information_score: 0.3126, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8349, predictive_accuracy: 0.8544, prior_entropy: 0.6212, recall: 0.8544, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3815, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.8276, kappa: 0.2666, kb_relative_information_score: 0.3104, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8262, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.27, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4263, f_measure: 0.7008, kappa: -0.1483, kb_relative_information_score: -0.4084, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.6999, predictive_accuracy: 0.7018, prior_entropy: 0.6212, recall: 0.7018, relative_absolute_error: 1.1401, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.8111, kappa: 0.1735, kb_relative_information_score: 0.3148, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8295, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.8215, kappa: 0.226, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8317, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.8115, kappa: 0.1746, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.8206, kappa: 0.222, kb_relative_information_score: 0.3238, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8307, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.7908, kappa: 0.0755, kb_relative_information_score: 0.288, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8211, predictive_accuracy: 0.8492, prior_entropy: 0.6212, recall: 0.8492, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3883, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.8153, kappa: 0.1933, kb_relative_information_score: 0.3238, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8335, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.8102, kappa: 0.1692, kb_relative_information_score: 0.3126, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8283, predictive_accuracy: 0.8544, prior_entropy: 0.6212, recall: 0.8544, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3815, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.8187, kappa: 0.2165, kb_relative_information_score: 0.3081, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8233, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3828, root_relative_squared_error: 1.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.7911, kappa: 0.0765, kb_relative_information_score: 0.2902, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8252, predictive_accuracy: 0.8497, prior_entropy: 0.6212, recall: 0.8497, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3877, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.8145, kappa: 0.1885, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8362, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.27, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.8128, kappa: 0.1793, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8383, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.8247, kappa: 0.2384, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8412, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.8258, kappa: 0.2469, kb_relative_information_score: 0.335, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8352, predictive_accuracy: 0.8592, prior_entropy: 0.6212, recall: 0.8592, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.8133, kappa: 0.1824, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8376, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.7806, kappa: 0.1521, kb_relative_information_score: -0.0255, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7784, predictive_accuracy: 0.7828, prior_entropy: 0.6212, recall: 0.7828, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.466, root_relative_squared_error: 1.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.8115, kappa: 0.1746, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.8096, kappa: 0.1661, kb_relative_information_score: 0.3126, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8287, predictive_accuracy: 0.8544, prior_entropy: 0.6212, recall: 0.8544, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3815, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.8165, kappa: 0.2015, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8281, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.8206, kappa: 0.2239, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8273, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.8133, kappa: 0.1824, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8376, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.8173, kappa: 0.2408, kb_relative_information_score: 0.2297, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8084, predictive_accuracy: 0.8369, prior_entropy: 0.6212, recall: 0.8369, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.8105, kappa: 0.1704, kb_relative_information_score: 0.3148, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8299, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.8111, kappa: 0.1735, kb_relative_information_score: 0.3148, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8295, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.8194, kappa: 0.2169, kb_relative_information_score: 0.3193, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8285, predictive_accuracy: 0.8559, prior_entropy: 0.6212, recall: 0.8559, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.8111, kappa: 0.1735, kb_relative_information_score: 0.3148, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8295, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, f_measure: 0.8081, kappa: 0.1568, kb_relative_information_score: 0.3193, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8376, predictive_accuracy: 0.8559, prior_entropy: 0.6212, recall: 0.8559, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.8273, kappa: 0.2654, kb_relative_information_score: 0.3081, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8256, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3828, root_relative_squared_error: 1.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.8072, kappa: 0.1524, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.8115, kappa: 0.1746, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.801, kappa: 0.1234, kb_relative_information_score: 0.3059, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8319, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3834, root_relative_squared_error: 1.0606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.8162, kappa: 0.1974, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8346, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.7845, kappa: 0.0465, kb_relative_information_score: 0.2745, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.803, predictive_accuracy: 0.8464, prior_entropy: 0.6212, recall: 0.8464, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.392, root_relative_squared_error: 1.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.801, kappa: 0.1234, kb_relative_information_score: 0.3059, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8319, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3834, root_relative_squared_error: 1.0606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.8117, kappa: 0.1967, kb_relative_information_score: 0.2521, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8047, predictive_accuracy: 0.8416, prior_entropy: 0.6212, recall: 0.8416, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.398, root_relative_squared_error: 1.1008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.8256, kappa: 0.2471, kb_relative_information_score: 0.3305, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.833, predictive_accuracy: 0.8582, prior_entropy: 0.6212, recall: 0.8582, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3765, root_relative_squared_error: 1.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.803, kappa: 0.1324, kb_relative_information_score: 0.3104, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8348, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.8259, kappa: 0.2484, kb_relative_information_score: 0.3327, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.834, predictive_accuracy: 0.8587, prior_entropy: 0.6212, recall: 0.8587, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3759, root_relative_squared_error: 1.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.8132, kappa: 0.2112, kb_relative_information_score: 0.2387, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8046, predictive_accuracy: 0.8388, prior_entropy: 0.6212, recall: 0.8388, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.8046, kappa: 0.1693, kb_relative_information_score: 0.2163, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7939, predictive_accuracy: 0.834, prior_entropy: 0.6212, recall: 0.834, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.1269,

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

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

OpenML APIs