Task
Supervised Classification on arsenic-male-bladder

Supervised Classification on arsenic-male-bladder

Task 3810 Supervised Classification arsenic-male-bladder 559 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9758, kappa: 0.6739, kb_relative_information_score: 299.3156, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.2628, recall: 0.9785, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.147, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.9758, kappa: 0.6739, kb_relative_information_score: 198.3445, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.2628, recall: 0.9785, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.145, root_relative_squared_error: 0.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 172.2501, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.142, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.9758, kappa: 0.6739, kb_relative_information_score: 306.5313, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.2628, recall: 0.9785, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.7147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 294.4393, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.9621, kappa: 0.5336, kb_relative_information_score: -101.3221, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.2628, recall: 0.9624, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.9657, kappa: 0.578, kb_relative_information_score: 185.0901, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9653, predictive_accuracy: 0.966, prior_entropy: 0.2628, recall: 0.966, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 352.79, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -41.491, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.9485, kappa: 0.2758, kb_relative_information_score: 93.3264, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9454, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -10.2989, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -20.7509, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 352.7902, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 339.0345, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.9361, kb_relative_information_score: 44.7897, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 98.9657, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4477, f_measure: 0.9361, kb_relative_information_score: -35.4966, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2028, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9742, kappa: 0.6553, kb_relative_information_score: -122.7958, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9749, predictive_accuracy: 0.9767, prior_entropy: 0.2628, recall: 0.9767, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -75.8385, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9742, kappa: 0.6553, kb_relative_information_score: -98.3087, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9749, predictive_accuracy: 0.9767, prior_entropy: 0.2628, recall: 0.9767, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4477, f_measure: 0.9361, kb_relative_information_score: 4.727, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2028, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 352.5167, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.9725, kappa: 0.6376, kb_relative_information_score: -26.7419, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9726, predictive_accuracy: 0.975, prior_entropy: 0.2628, recall: 0.975, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.7589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 352.79, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.9628, kappa: 0.5518, kb_relative_information_score: 50.2536, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9632, predictive_accuracy: 0.9624, prior_entropy: 0.2628, recall: 0.9624, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.165, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 352.5511, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9725, kappa: 0.6376, kb_relative_information_score: -146.6001, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9726, predictive_accuracy: 0.975, prior_entropy: 0.2628, recall: 0.975, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4477, f_measure: 0.9361, kb_relative_information_score: 4.727, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2028, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 352.79, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.9361, kb_relative_information_score: -10.9862, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.9732, kappa: 0.6539, kb_relative_information_score: -151.3541, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9728, predictive_accuracy: 0.975, prior_entropy: 0.2628, recall: 0.975, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.9671, kappa: 0.5919, kb_relative_information_score: 231.8165, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9666, predictive_accuracy: 0.9678, prior_entropy: 0.2628, recall: 0.9678, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9361, kb_relative_information_score: 127.8638, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2072, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.9742, kappa: 0.6553, kb_relative_information_score: 318.4437, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9749, predictive_accuracy: 0.9767, prior_entropy: 0.2628, recall: 0.9767, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.8628, kappa: -0.012, kb_relative_information_score: -1223.5212, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9163, predictive_accuracy: 0.8175, prior_entropy: 0.2628, recall: 0.8175, relative_absolute_error: 2.1808, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.4272, root_relative_squared_error: 2.1072, scimark_benchmark: 1280.301, usercpu_time_millis: 19625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 19609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9482, kappa: 0.2147, kb_relative_information_score: 179.8401, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9639, predictive_accuracy: 0.9624, prior_entropy: 0.2628, recall: 0.9624, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.9561, scimark_benchmark: 1280.301, usercpu_time_millis: 42875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 42859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9361, kb_relative_information_score: 127.8638, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2072, root_relative_squared_error: 1.0222, scimark_benchmark: 1461.2356, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9361, kb_relative_information_score: 127.8638, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2072, root_relative_squared_error: 1.0222, scimark_benchmark: 1461.2356,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 294.4393, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6859, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 285.5033, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.6811, scimark_benchmark: 1788.6668, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -74.7397, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6925, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692, scimark_benchmark: 1209.621, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 294.4393, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6859, scimark_benchmark: 967.712, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -5.1763, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6915, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -75.8385, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6925, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 79.8625, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.8076, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -74.0881, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.6876, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: -75.8385, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6925, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9742, kappa: 0.6553, kb_relative_information_score: -98.3087, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9749, predictive_accuracy: 0.9767, prior_entropy: 0.2628, recall: 0.9767, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.7591, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.9751, kappa: 0.6568, kb_relative_information_score: 335.7692, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.979, predictive_accuracy: 0.9785, prior_entropy: 0.2628, recall: 0.9785, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.7228, usercpu_time_millis: 108.155, usercpu_time_millis_testing: 2.64, usercpu_time_millis_training: 105.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.9742, kappa: 0.6553, kb_relative_information_score: 318.4437, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9749, predictive_accuracy: 0.9767, prior_entropy: 0.2628, recall: 0.9767, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9361, kb_relative_information_score: 127.8638, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2072, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.9775, kappa: 0.6935, kb_relative_information_score: 353.0946, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.2628, recall: 0.9803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.692,

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