Task
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35690 runs submitted
2 likes downloaded by 2 people , 5 total downloads 0 issues
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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35690 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9775, kappa: 0.9767, kb_relative_information_score: 0.9725, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, weighted_recall: 0.9776, number_of_instances: 20000, precision: 0.9776, predictive_accuracy: 0.9776, prior_entropy: 4.6998, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.2011, unweighted_recall: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9682, kappa: 0.9669, kb_relative_information_score: 0.958, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9682, number_of_instances: 20000, precision: 0.9684, predictive_accuracy: 0.9682, prior_entropy: 4.6998, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.2502, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9675, kappa: 0.9661, kb_relative_information_score: 0.9639, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9675, number_of_instances: 20000, precision: 0.9676, predictive_accuracy: 0.9675, prior_entropy: 4.6998, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0449, root_relative_squared_error: 0.2333, unweighted_recall: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9573, kappa: 0.9555, kb_relative_information_score: 0.9493, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.074, weighted_recall: 0.9573, number_of_instances: 20000, precision: 0.9576, predictive_accuracy: 0.9573, prior_entropy: 4.6998, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.2725, unweighted_recall: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.6835, kappa: 0.673, kb_relative_information_score: 0.684, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.074, weighted_recall: 0.6856, number_of_instances: 20000, precision: 0.6852, predictive_accuracy: 0.6856, prior_entropy: 4.6998, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.6819, unweighted_recall: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.897, kappa: 0.8877, kb_relative_information_score: 0.8509, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.074, weighted_recall: 0.8921, number_of_instances: 20000, precision: 0.9082, predictive_accuracy: 0.8921, prior_entropy: 4.6998, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.4657, unweighted_recall: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 0.9633, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.074, weighted_recall: 0.9709, number_of_instances: 20000, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 4.6998, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.2352, unweighted_recall: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9683, kappa: 0.967, kb_relative_information_score: 0.9639, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.074, weighted_recall: 0.9683, number_of_instances: 20000, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 4.6998, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.2311, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.6313, kappa: 0.5313, kb_relative_information_score: 0.2842, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.074, weighted_recall: 0.5494, number_of_instances: 20000, precision: 0.8826, predictive_accuracy: 0.5494, prior_entropy: 4.6998, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.17, root_relative_squared_error: 0.8841, unweighted_recall: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8603, kappa: 0.8547, kb_relative_information_score: 0.8409, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.074, weighted_recall: 0.8603, number_of_instances: 20000, precision: 0.8613, predictive_accuracy: 0.8603, prior_entropy: 4.6998, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.4872, unweighted_recall: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9594, kappa: 0.9577, kb_relative_information_score: 0.939, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.074, weighted_recall: 0.9594, number_of_instances: 20000, precision: 0.9595, predictive_accuracy: 0.9594, prior_entropy: 4.6998, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.2886, unweighted_recall: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9782, kappa: 0.9773, kb_relative_information_score: 0.973, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, weighted_recall: 0.9782, number_of_instances: 20000, precision: 0.9782, predictive_accuracy: 0.9782, prior_entropy: 4.6998, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.1972, unweighted_recall: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9753, kappa: 0.9743, kb_relative_information_score: 0.9689, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, weighted_recall: 0.9753, number_of_instances: 20000, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 4.6998, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.2105, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9762, kappa: 0.9752, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, weighted_recall: 0.9762, number_of_instances: 20000, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 4.6998, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.2067, unweighted_recall: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.4995, kappa: 0.478, kb_relative_information_score: 0.4793, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.074, weighted_recall: 0.4981, number_of_instances: 20000, precision: 0.5144, predictive_accuracy: 0.4981, prior_entropy: 4.6998, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.8552, unweighted_recall: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7692, kappa: 0.6939, kb_relative_information_score: 0.5394, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.074, weighted_recall: 0.7057, number_of_instances: 20000, precision: 0.9117, predictive_accuracy: 0.7057, prior_entropy: 4.6998, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.7169, unweighted_recall: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8876, kappa: 0.883, kb_relative_information_score: 0.878, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, weighted_recall: 0.8875, number_of_instances: 20000, precision: 0.8887, predictive_accuracy: 0.8875, prior_entropy: 4.6998, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.082, root_relative_squared_error: 0.4264, unweighted_recall: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9782, kappa: 0.9773, kb_relative_information_score: 0.973, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, weighted_recall: 0.9782, number_of_instances: 20000, precision: 0.9782, predictive_accuracy: 0.9782, prior_entropy: 4.6998, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.1973, unweighted_recall: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.8634, kappa: 0.8578, kb_relative_information_score: 0.8536, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, weighted_recall: 0.8633, number_of_instances: 20000, precision: 0.8646, predictive_accuracy: 0.8633, prior_entropy: 4.6998, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.09, root_relative_squared_error: 0.4682, unweighted_recall: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8081, kappa: 0.8004, kb_relative_information_score: 0.8021, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.074, weighted_recall: 0.8081, number_of_instances: 20000, precision: 0.8103, predictive_accuracy: 0.8081, prior_entropy: 4.6998, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.5401, unweighted_recall: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.368, kappa: 0.2651, kb_relative_information_score: 0.0336, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, weighted_recall: 0.2925, number_of_instances: 20000, precision: 0.8831, predictive_accuracy: 0.2925, prior_entropy: 4.6998, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.9961, unweighted_recall: 0.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9701, kappa: 0.9689, kb_relative_information_score: 0.9747, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 4.6998, recall: 0.9701, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9678, kappa: 0.9665, kb_relative_information_score: 0.9719, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 4.6998, recall: 0.9678, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.949, kappa: 0.9466, kb_relative_information_score: 0.948, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9501, predictive_accuracy: 0.9487, prior_entropy: 4.6998, recall: 0.9487, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9703, kappa: 0.9691, kb_relative_information_score: 0.9743, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 4.6998, recall: 0.9703, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.042, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.97, kappa: 0.9687, kb_relative_information_score: 0.974, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 4.6998, recall: 0.97, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9538, kappa: 0.952, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9539, predictive_accuracy: 0.9538, prior_entropy: 4.6998, recall: 0.9538, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.2647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.6426, kappa: 0.623, kb_relative_information_score: 0.6326, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6668, predictive_accuracy: 0.6376, prior_entropy: 4.6998, recall: 0.6376, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.167, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9423, kappa: 0.9398, kb_relative_information_score: 0.9133, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 4.6998, recall: 0.9421, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9197, kappa: 0.9162, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9205, predictive_accuracy: 0.9194, prior_entropy: 4.6998, recall: 0.9194, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9472, kappa: 0.945, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9477, predictive_accuracy: 0.9472, prior_entropy: 4.6998, recall: 0.9472, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.2904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9465, kappa: 0.9443, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.947, predictive_accuracy: 0.9464, prior_entropy: 4.6998, recall: 0.9464, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8823, kappa: 0.8775, kb_relative_information_score: 0.8807, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8824, predictive_accuracy: 0.8822, prior_entropy: 4.6998, recall: 0.8822, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.4001, kappa: 0.3983, kb_relative_information_score: 0.4994, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4118, predictive_accuracy: 0.4215, prior_entropy: 4.6998, recall: 0.4215, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9197, kappa: 0.9162, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9205, predictive_accuracy: 0.9194, prior_entropy: 4.6998, recall: 0.9194, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8823, kappa: 0.8775, kb_relative_information_score: 0.8807, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8824, predictive_accuracy: 0.8822, prior_entropy: 4.6998, recall: 0.8822, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.4001, kappa: 0.3983, kb_relative_information_score: 0.4994, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4118, predictive_accuracy: 0.4215, prior_entropy: 4.6998, recall: 0.4215, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9472, kappa: 0.945, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9477, predictive_accuracy: 0.9472, prior_entropy: 4.6998, recall: 0.9472, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.2904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9465, kappa: 0.9443, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.947, predictive_accuracy: 0.9464, prior_entropy: 4.6998, recall: 0.9464, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8842, kappa: 0.8796, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8844, predictive_accuracy: 0.8842, prior_entropy: 4.6998, recall: 0.8842, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.4908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8813, kappa: 0.8765, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8815, predictive_accuracy: 0.8813, prior_entropy: 4.6998, recall: 0.8813, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8823, kappa: 0.8775, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8825, predictive_accuracy: 0.8823, prior_entropy: 4.6998, recall: 0.8823, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8814, kappa: 0.8765, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8815, predictive_accuracy: 0.8813, prior_entropy: 4.6998, recall: 0.8813, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9699, kappa: 0.9686, kb_relative_information_score: 0.9741, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 4.6998, recall: 0.9699, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9678, kappa: 0.9665, kb_relative_information_score: 0.9719, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 4.6998, recall: 0.9678, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9699, kappa: 0.9686, kb_relative_information_score: 0.9741, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 4.6998, recall: 0.9699, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9701, kappa: 0.9689, kb_relative_information_score: 0.9747, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 4.6998, recall: 0.9701, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9604, kappa: 0.9587, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 4.6998, recall: 0.9603, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9604, kappa: 0.9587, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 4.6998, recall: 0.9603, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9604, kappa: 0.9587, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 4.6998, recall: 0.9603, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9604, kappa: 0.9587, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 4.6998, recall: 0.9603, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9375, kappa: 0.9348, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9381, predictive_accuracy: 0.9374, prior_entropy: 4.6998, recall: 0.9374, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kappa: 0.0326, kb_relative_information_score: 0.0575, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0718, prior_entropy: 4.6998, recall: 0.0718, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.1806, kappa: 0.1067, kb_relative_information_score: 0.1317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9616, predictive_accuracy: 0.1425, prior_entropy: 4.6998, recall: 0.1425, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8779, kappa: 0.8729, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8784, predictive_accuracy: 0.8778, prior_entropy: 4.6998, recall: 0.8778, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.1806, kappa: 0.1067, kb_relative_information_score: 0.1317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9616, predictive_accuracy: 0.1425, prior_entropy: 4.6998, recall: 0.1425, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8781, kappa: 0.8731, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 4.6998, recall: 0.878, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.1806, kappa: 0.1067, kb_relative_information_score: 0.1317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9616, predictive_accuracy: 0.1425, prior_entropy: 4.6998, recall: 0.1425, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.1806, kappa: 0.1067, kb_relative_information_score: 0.1317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9616, predictive_accuracy: 0.1425, prior_entropy: 4.6998, recall: 0.1425, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.1806, kappa: 0.1067, kb_relative_information_score: 0.1317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9616, predictive_accuracy: 0.1425, prior_entropy: 4.6998, recall: 0.1425, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.1991, kappa: 0.1188, kb_relative_information_score: 0.1432, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9617, predictive_accuracy: 0.154, prior_entropy: 4.6998, recall: 0.154, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2551, root_relative_squared_error: 1.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.3728, kappa: 0.2429, kb_relative_information_score: 0.2637, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9611, predictive_accuracy: 0.2731, prior_entropy: 4.6998, recall: 0.2731, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2365, root_relative_squared_error: 1.2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7063, kappa: 0.5825, kb_relative_information_score: 0.5936, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9491, predictive_accuracy: 0.5989, prior_entropy: 4.6998, recall: 0.5989, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8919, kappa: 0.8863, kb_relative_information_score: 0.8892, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8989, predictive_accuracy: 0.8907, prior_entropy: 4.6998, recall: 0.8907, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9245, kappa: 0.9212, kb_relative_information_score: 0.9232, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.926, predictive_accuracy: 0.9243, prior_entropy: 4.6998, recall: 0.9243, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9191, kappa: 0.9155, kb_relative_information_score: 0.9177, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9208, predictive_accuracy: 0.9188, prior_entropy: 4.6998, recall: 0.9188, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.079, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8942, kappa: 0.8893, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8971, predictive_accuracy: 0.8936, prior_entropy: 4.6998, recall: 0.8936, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9428, kappa: 0.9404, kb_relative_information_score: 0.9484, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9429, predictive_accuracy: 0.9427, prior_entropy: 4.6998, recall: 0.9427, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.538, kappa: 0.5379, kb_relative_information_score: 0.1858, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6196, predictive_accuracy: 0.5558, prior_entropy: 4.6998, recall: 0.5558, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 0.6887, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6557, predictive_accuracy: 0.6421, prior_entropy: 4.6998, recall: 0.6421, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8811, kappa: 0.8751, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8874, predictive_accuracy: 0.8799, prior_entropy: 4.6998, recall: 0.8799, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9201, kappa: 0.9166, kb_relative_information_score: 0.9187, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9212, predictive_accuracy: 0.9198, prior_entropy: 4.6998, recall: 0.9198, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7892, kappa: 0.7782, kb_relative_information_score: 0.7838, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8005, predictive_accuracy: 0.7867, prior_entropy: 4.6998, recall: 0.7867, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9201, kappa: 0.9166, kb_relative_information_score: 0.9187, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9212, predictive_accuracy: 0.9198, prior_entropy: 4.6998, recall: 0.9198, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.5974, kappa: 0.569, kb_relative_information_score: 0.5802, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6323, predictive_accuracy: 0.5856, prior_entropy: 4.6998, recall: 0.5856, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8811, kappa: 0.8751, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8874, predictive_accuracy: 0.8799, prior_entropy: 4.6998, recall: 0.8799, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.5974, kappa: 0.569, kb_relative_information_score: 0.5802, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6323, predictive_accuracy: 0.5856, prior_entropy: 4.6998, recall: 0.5856, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7892, kappa: 0.7782, kb_relative_information_score: 0.7838, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8005, predictive_accuracy: 0.7867, prior_entropy: 4.6998, recall: 0.7867, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9247, kappa: 0.9088, kb_relative_information_score: 0.9112, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9503, predictive_accuracy: 0.9124, prior_entropy: 4.6998, recall: 0.9124, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8811, kappa: 0.8751, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8874, predictive_accuracy: 0.8799, prior_entropy: 4.6998, recall: 0.8799, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7892, kappa: 0.7782, kb_relative_information_score: 0.7838, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8005, predictive_accuracy: 0.7867, prior_entropy: 4.6998, recall: 0.7867, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9626, kappa: 0.961, kb_relative_information_score: 0.962, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 4.6998, recall: 0.9625, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7892, kappa: 0.7782, kb_relative_information_score: 0.7838, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8005, predictive_accuracy: 0.7867, prior_entropy: 4.6998, recall: 0.7867, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9765, kappa: 0.9756, kb_relative_information_score: 0.9762, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 4.6998, recall: 0.9765, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0284, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kappa: -0.0055, kb_relative_information_score: 0.0214, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0332, prior_entropy: 4.6998, recall: 0.0332, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.4181,

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

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