OpenML
Supervised Classification on chscase_funds

Supervised Classification on chscase_funds

Task 3666 Supervised Classification chscase_funds 511 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.5541, kappa: 0.1384, kb_relative_information_score: 29.0662, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5792, predictive_accuracy: 0.5622, prior_entropy: 0.9975, recall: 0.5622, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1503, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6526, kappa: 0.3071, kb_relative_information_score: 45.8857, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6634, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9236, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6395, kappa: 0.2774, kb_relative_information_score: 45.0708, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9639, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6395, kappa: 0.2774, kb_relative_information_score: 45.0708, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9639, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5388, kappa: 0.078, kb_relative_information_score: 16.1482, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5422, predictive_accuracy: 0.5459, prior_entropy: 0.9975, recall: 0.5459, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3501, usercpu_time_millis: 1.119, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.6157, kappa: 0.2316, kb_relative_information_score: 44.2885, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6219, predictive_accuracy: 0.6216, prior_entropy: 0.9975, recall: 0.6216, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2324, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6154, kappa: 0.2381, kb_relative_information_score: 46.2986, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.632, predictive_accuracy: 0.627, prior_entropy: 0.9975, recall: 0.627, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2236, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4884, kappa: -0.0074, kb_relative_information_score: 2.0781, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.4976, predictive_accuracy: 0.5081, prior_entropy: 0.9975, recall: 0.5081, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.4052, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6844, kappa: 0.3796, kb_relative_information_score: 72.4288, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7181, predictive_accuracy: 0.6973, prior_entropy: 0.9975, recall: 0.6973, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1023, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6149, kappa: 0.2904, kb_relative_information_score: 58.3587, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7479, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1692, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.6338, kappa: 0.2882, kb_relative_information_score: 56.3487, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6766, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1784, usercpu_time_millis: 0.021, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.6338, kappa: 0.2882, kb_relative_information_score: 56.3487, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6766, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1784, usercpu_time_millis: 0.028, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5892, kappa: 0.1755, kb_relative_information_score: 32.2284, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5892, predictive_accuracy: 0.5892, prior_entropy: 0.9975, recall: 0.5892, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6778, kappa: 0.3764, kb_relative_information_score: 72.4288, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7357, predictive_accuracy: 0.6973, prior_entropy: 0.9975, recall: 0.6973, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6946, kappa: 0.3935, kb_relative_information_score: 74.4388, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.714, predictive_accuracy: 0.7027, prior_entropy: 0.9975, recall: 0.7027, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.6071, kappa: 0.2787, kb_relative_information_score: 56.3487, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7442, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 28.2084, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.3009, usercpu_time_millis: 298.906, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 296.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.55, kappa: 0.1396, kb_relative_information_score: 30.2184, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5949, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6451, root_relative_squared_error: 1.2926, usercpu_time_millis: 3.022, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 2.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6127, kappa: 0.2232, kb_relative_information_score: 42.2785, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6153, predictive_accuracy: 0.6162, prior_entropy: 0.9975, recall: 0.6162, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6195, root_relative_squared_error: 1.2412, usercpu_time_millis: 0.298, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6423, kappa: 0.3364, kb_relative_information_score: 66.3988, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7733, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1315, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5833, kappa: 0.163, kb_relative_information_score: 30.2184, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5831, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6451, root_relative_squared_error: 1.2926, usercpu_time_millis: 7.79, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 5.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6395, kappa: 0.2774, kb_relative_information_score: 52.3286, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.1967, usercpu_time_millis: 6.898, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 6.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374, usercpu_time_millis: 0.124, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6327, kappa: 0.265, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6386, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6036, kappa: 0.2235, kb_relative_information_score: 44.2885, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6316, predictive_accuracy: 0.6216, prior_entropy: 0.9975, recall: 0.6216, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2324, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6426, kappa: 0.2861, kb_relative_information_score: 54.3386, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6508, predictive_accuracy: 0.6486, prior_entropy: 0.9975, recall: 0.6486, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5927, root_relative_squared_error: 1.1876, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6207, kappa: 0.2483, kb_relative_information_score: 44.2885, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6293, predictive_accuracy: 0.6216, prior_entropy: 0.9975, recall: 0.6216, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2324, usercpu_time_millis: 0.069, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.6197, kappa: 0.2563, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6522, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 0.067, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.5974, kappa: 0.1971, kb_relative_information_score: 38.2585, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6055, predictive_accuracy: 0.6054, prior_entropy: 0.9975, recall: 0.6054, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.2586, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 0.119, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4932, kappa: 0.0058, kb_relative_information_score: -1.9419, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5048, predictive_accuracy: 0.4973, prior_entropy: 0.9975, recall: 0.4973, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.709, root_relative_squared_error: 1.4205, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6244, kappa: 0.2669, kb_relative_information_score: 52.3286, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6601, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.1967, usercpu_time_millis: 0.611, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6281, kappa: 0.2689, kb_relative_information_score: 52.3286, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.655, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.1967, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6154, kappa: 0.2381, kb_relative_information_score: 46.2986, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.632, predictive_accuracy: 0.627, prior_entropy: 0.9975, recall: 0.627, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2236, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6862, kappa: 0.3887, kb_relative_information_score: 74.4388, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7349, predictive_accuracy: 0.7027, prior_entropy: 0.9975, recall: 0.7027, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0924, usercpu_time_millis: 26.891, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 25.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.6244, kappa: 0.2516, kb_relative_information_score: 48.3086, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6349, predictive_accuracy: 0.6324, prior_entropy: 0.9975, recall: 0.6324, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2147, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6411, kappa: 0.3086, kb_relative_information_score: 60.3687, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6987, predictive_accuracy: 0.6649, prior_entropy: 0.9975, recall: 0.6649, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5789, root_relative_squared_error: 1.1599, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6364, kappa: 0.2979, kb_relative_information_score: 58.3587, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6894, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1692, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6461, kappa: 0.2898, kb_relative_information_score: 54.3386, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6483, predictive_accuracy: 0.6486, prior_entropy: 0.9975, recall: 0.6486, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5927, root_relative_squared_error: 1.1876, usercpu_time_millis: 0.061, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6154, kappa: 0.2381, kb_relative_information_score: 46.2986, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.632, predictive_accuracy: 0.627, prior_entropy: 0.9975, recall: 0.627, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2236, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.6244, kappa: 0.2516, kb_relative_information_score: 48.3086, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6349, predictive_accuracy: 0.6324, prior_entropy: 0.9975, recall: 0.6324, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2147, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.584, kappa: 0.1694, kb_relative_information_score: 30.2184, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.587, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6451, root_relative_squared_error: 1.2926, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 0.795,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 66.3988, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1315, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5841, kappa: 0.1684, kb_relative_information_score: 30.2184, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5861, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6451, root_relative_squared_error: 1.2926, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.568,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6364, kappa: 0.2979, kb_relative_information_score: 58.3587, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6894, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1692, usercpu_time_millis: 0.807, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.6076, kappa: 0.2128, kb_relative_information_score: 40.2685, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6096, predictive_accuracy: 0.6108, prior_entropy: 0.9975, recall: 0.6108, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6239, root_relative_squared_error: 1.2499, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.342,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057, usercpu_time_millis: 5.85, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 5.083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 34.3027, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 34.3027, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 33.3922, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 33.3922, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 33.3922, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3669, kb_relative_information_score: -0.0498, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3669, kb_relative_information_score: -0.0498, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3669, kb_relative_information_score: -0.0498, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,

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