Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 72136 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_73 under100k under1m
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72136 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.2427, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 491.6671, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.1912, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 528.2045, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.2055, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.1823, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6149, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6125, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.0128, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6585, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.1253, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.3116, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 493.775, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.5214, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.411, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.2315, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.0746, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 529.7773, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.9029, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 529.2506, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 534.1984, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.9088, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 529.8746, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.1257, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.7004, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 498.4989, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 527.2565, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 526.3544, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 527.1323, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9675, kappa: 0.935, kb_relative_information_score: 510.1452, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9676, predictive_accuracy: 0.9675, prior_entropy: 0.9989, recall: 0.9675, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.6731, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 490.3623, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 491.4503, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 534.0719, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.2047, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.3624, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.1788, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.6633, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 490.8716, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.0763, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 529.676, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.3257, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.3601, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.2491, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3604,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.2324, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3581,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.0109, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 488.1882, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 493.8766, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.2008, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.4479, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.9606, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 509.0795, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.0519, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.1861, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.0028, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3599,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs