OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
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  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: -571.7141, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.2598, scimark_benchmark: 947.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9733, kappa: 0.936, kb_relative_information_score: -453.4983, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9763, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3113, root_relative_squared_error: 1.2056, scimark_benchmark: 947.2414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9912, kappa: 0.9778, kb_relative_information_score: -447.7249, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9915, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 1.6563, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3107, root_relative_squared_error: 1.2031, scimark_benchmark: 947.2258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9618, kappa: 0.9146, kb_relative_information_score: 782.3647, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9591, predictive_accuracy: 0.9655, prior_entropy: 1.2149, recall: 0.9655, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.095, root_relative_squared_error: 0.3678, scimark_benchmark: 931.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9802, kappa: 0.9547, kb_relative_information_score: 823.0836, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9802, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2716, scimark_benchmark: 1335.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9822, kappa: 0.9554, kb_relative_information_score: 836.0688, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.295, scimark_benchmark: 1335.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 830.3004, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.2282, scimark_benchmark: 1335.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 857.3241, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.1557, scimark_benchmark: 1335.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1335.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7449, kappa: 0.4503, kb_relative_information_score: 297.9484, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7437, predictive_accuracy: 0.7717, prior_entropy: 1.2149, recall: 0.7717, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8515, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9821, kappa: 0.9554, kb_relative_information_score: 831.0417, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9821, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2922, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9832, kappa: 0.961, kb_relative_information_score: 822.6564, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.273, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9652, kappa: 0.8871, kb_relative_information_score: 360.0107, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9809, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.6441, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9896, kappa: 0.9747, kb_relative_information_score: 755.2162, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.3288, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 846.4815, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1887, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9902, kappa: 0.975, kb_relative_information_score: -658.1567, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9906, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 1.911, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3444, root_relative_squared_error: 1.3336, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: -658.3179, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 1.9125, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3446, root_relative_squared_error: 1.3347, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.8656, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9852, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9859, kappa: 0.9665, kb_relative_information_score: 835.5136, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2596, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9856, kappa: 0.9641, kb_relative_information_score: 803.7871, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.2823, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9662, kappa: 0.9165, kb_relative_information_score: 791.1398, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3794, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9515, kappa: 0.888, kb_relative_information_score: 643.0635, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9477, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4993, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9524, kappa: 0.8799, kb_relative_information_score: 759.1089, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4286, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 846.8608, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2233, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 848.5774, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1842, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9824, kappa: 0.9575, kb_relative_information_score: 843.5161, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.234, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9876, kappa: 0.9695, kb_relative_information_score: 851.6506, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9884, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.2264, scimark_benchmark: 1353.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1353.4029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1446.1278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.8656, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9852, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 925.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9802, kappa: 0.9547, kb_relative_information_score: 823.0836, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9802, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2716, scimark_benchmark: 949.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1227.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 298.1982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1990.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 2015.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 2009.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9889, kappa: 0.9724, kb_relative_information_score: 852.9031, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9895, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.057, root_relative_squared_error: 0.2206, scimark_benchmark: 2004.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 830.3004, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.2282, scimark_benchmark: 2008.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 2002.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9832, kappa: 0.961, kb_relative_information_score: 822.6564, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.273, scimark_benchmark: 2009.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1990.0546,

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