Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 383451 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7493, kappa: 0.2642, kb_relative_information_score: 90.2076, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9489, scimark_benchmark: 1331.3867, usercpu_time_millis: 7.257, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 6.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.767, kappa: 0.317, kb_relative_information_score: 100.3274, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7677, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1343.3639, usercpu_time_millis: 15.735, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 14.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7469, kappa: 0.2602, kb_relative_information_score: 97.108, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7423, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9438, scimark_benchmark: 1341.4368, usercpu_time_millis: 33.554, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 30.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7528, kappa: 0.2703, kb_relative_information_score: 87.3156, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7568, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924, scimark_benchmark: 1317.8447, usercpu_time_millis: 8.467, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 7.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7478, kappa: 0.2535, kb_relative_information_score: 85.4453, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7543, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9246, scimark_benchmark: 1337.2894, usercpu_time_millis: 16.403, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 14.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 102.8596, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7589, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253, scimark_benchmark: 1333.4904, usercpu_time_millis: 17.291, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 15.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.756, kappa: 0.2787, kb_relative_information_score: 89.4998, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7627, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9199, scimark_benchmark: 1312.8766, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7436, kappa: 0.2442, kb_relative_information_score: 90.4813, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7435, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9311, scimark_benchmark: 1338.451, usercpu_time_millis: 2.551, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7574, kappa: 0.2872, kb_relative_information_score: 98.13, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.758, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.925, scimark_benchmark: 1316.1449, usercpu_time_millis: 5.046, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7497, kappa: 0.2621, kb_relative_information_score: 89.1621, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7512, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.927, scimark_benchmark: 1319.7478, usercpu_time_millis: 14.749, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 12.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 92.4397, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.946, scimark_benchmark: 1336.8505, usercpu_time_millis: 21.865, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 19.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7416, kappa: 0.2388, kb_relative_information_score: 90.4458, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9397, scimark_benchmark: 1327.4578, usercpu_time_millis: 28.99, usercpu_time_millis_testing: 3.771, usercpu_time_millis_training: 25.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.7455, kappa: 0.2512, kb_relative_information_score: 89.7538, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7443, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.942, scimark_benchmark: 1333.6449, usercpu_time_millis: 17.861, usercpu_time_millis_testing: 2.322, usercpu_time_millis_training: 15.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 101.0073, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9274, scimark_benchmark: 1329.1771, usercpu_time_millis: 20.678, usercpu_time_millis_testing: 2.405, usercpu_time_millis_training: 18.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7446, kappa: 0.2557, kb_relative_information_score: 85.0857, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9583, scimark_benchmark: 1327.3373, usercpu_time_millis: 39.576, usercpu_time_millis_testing: 3.316, usercpu_time_millis_training: 36.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7426, kappa: 0.2406, kb_relative_information_score: 93.4797, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.743, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9319, scimark_benchmark: 1320.8316, usercpu_time_millis: 14.815, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 13.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7528, kappa: 0.2774, kb_relative_information_score: 100.5525, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7493, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9328, scimark_benchmark: 1323.8218, usercpu_time_millis: 16.336, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 14.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 93.3687, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9438, scimark_benchmark: 1342.8957, usercpu_time_millis: 20.471, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 18.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7591, kappa: 0.2937, kb_relative_information_score: 98.4151, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.922, scimark_benchmark: 1350.3332, usercpu_time_millis: 3.092, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 2.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 70.9833, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253, scimark_benchmark: 1320.9769, usercpu_time_millis: 6.909, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 5.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7507, kappa: 0.2648, kb_relative_information_score: 86.3695, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.753, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.925, scimark_benchmark: 1311.4256, usercpu_time_millis: 13.989, usercpu_time_millis_testing: 1.725, usercpu_time_millis_training: 12.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.7436, kappa: 0.2531, kb_relative_information_score: 84.474, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.9588, scimark_benchmark: 1333.6426, usercpu_time_millis: 19.406, usercpu_time_millis_testing: 1.805, usercpu_time_millis_training: 17.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7529, kappa: 0.2697, kb_relative_information_score: 86.5691, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.925, scimark_benchmark: 1348.0871, usercpu_time_millis: 2.822, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 2.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7602, kappa: 0.2964, kb_relative_information_score: 102.3333, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7602, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9255, scimark_benchmark: 1337.4716, usercpu_time_millis: 12.029, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 10.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7391, kappa: 0.237, kb_relative_information_score: 88.7249, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7333, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.963, scimark_benchmark: 1350.0093, usercpu_time_millis: 12.646, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 11.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 95.9206, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9365, scimark_benchmark: 1313.6545, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.7664, kappa: 0.3136, kb_relative_information_score: 93.1672, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.769, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1339.7506, usercpu_time_millis: 16.086, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 14.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.764, kappa: 0.3083, kb_relative_information_score: 100.0685, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7641, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9229, scimark_benchmark: 1311.5929, usercpu_time_millis: 10.42, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 9.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7634, kappa: 0.3048, kb_relative_information_score: 93.75, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7653, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9218, scimark_benchmark: 1331.9528, usercpu_time_millis: 11.831, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 10.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7608, kappa: 0.295, kb_relative_information_score: 84.1492, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7649, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211, scimark_benchmark: 1331.8771, usercpu_time_millis: 13.041, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 11.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 93.6696, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9438, scimark_benchmark: 1318.9418, usercpu_time_millis: 34.042, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 30.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7455, kappa: 0.2512, kb_relative_information_score: 90.64, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7443, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9398, scimark_benchmark: 1336.0273, usercpu_time_millis: 19.556, usercpu_time_millis_testing: 2.324, usercpu_time_millis_training: 17.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7456, kappa: 0.2445, kb_relative_information_score: 77.8578, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.759, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9254, scimark_benchmark: 1337.8041, usercpu_time_millis: 12.456, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 10.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7517, kappa: 0.2682, kb_relative_information_score: 88.7258, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7533, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9246, scimark_benchmark: 1325.952, usercpu_time_millis: 22.41, usercpu_time_millis_testing: 2.656, usercpu_time_millis_training: 19.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7508, kappa: 0.2641, kb_relative_information_score: 83.1701, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7547, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9212, scimark_benchmark: 1345.2119, usercpu_time_millis: 3.236, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 2.928,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7467, kappa: 0.2609, kb_relative_information_score: 87.7541, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7415, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9539, scimark_benchmark: 1321.7686, usercpu_time_millis: 21.585, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 19.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 101.8454, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9305, scimark_benchmark: 1319.9371, usercpu_time_millis: 5.219, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7602, kappa: 0.2901, kb_relative_information_score: 79.3654, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7712, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9213, scimark_benchmark: 1319.3486, usercpu_time_millis: 11.353, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 9.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.761, kappa: 0.2996, kb_relative_information_score: 101.124, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9235, scimark_benchmark: 1343.7372, usercpu_time_millis: 17.044, usercpu_time_millis_testing: 1.863, usercpu_time_millis_training: 15.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7549, kappa: 0.2828, kb_relative_information_score: 101.7433, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7523, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.933, scimark_benchmark: 1342.0978, usercpu_time_millis: 20.366, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 18.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7467, kappa: 0.2609, kb_relative_information_score: 88.3288, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7415, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9522, scimark_benchmark: 1344.9514, usercpu_time_millis: 35.002, usercpu_time_millis_testing: 3.15, usercpu_time_millis_training: 31.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7702, kappa: 0.3255, kb_relative_information_score: 92.4755, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7728, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.9186, scimark_benchmark: 1318.6963, usercpu_time_millis: 11.718, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 10.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7457, kappa: 0.2488, kb_relative_information_score: 83.8478, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7485, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9252, scimark_benchmark: 1337.2277, usercpu_time_millis: 2.053, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7452, kappa: 0.2535, kb_relative_information_score: 92.4051, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7412, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9466, scimark_benchmark: 1337.4679, usercpu_time_millis: 35.761, usercpu_time_millis_testing: 3.98, usercpu_time_millis_training: 31.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7388, kappa: 0.2387, kb_relative_information_score: 83.7135, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7321, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9595, scimark_benchmark: 1323.1882, usercpu_time_millis: 8.272, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 7.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7587, kappa: 0.2946, kb_relative_information_score: 96.3652, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7562, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378, scimark_benchmark: 1310.786, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 93.4648, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9439, scimark_benchmark: 1331.6819, usercpu_time_millis: 29.703, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 26.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.7462, kappa: 0.2623, kb_relative_information_score: 79.4552, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.9709, scimark_benchmark: 1334.9682, usercpu_time_millis: 14.742, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 13.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 92.1421, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7491, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9284, scimark_benchmark: 1339.8392, usercpu_time_millis: 14.588, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 12.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.764, kappa: 0.3035, kb_relative_information_score: 81.851, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7707, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921, scimark_benchmark: 1322.1685, usercpu_time_millis: 5.018, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 4.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7632, kappa: 0.3052, kb_relative_information_score: 98.4775, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7639, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9242, scimark_benchmark: 1348.511, usercpu_time_millis: 16.475, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 14.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.7445, kappa: 0.2485, kb_relative_information_score: 90.4473, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9361, scimark_benchmark: 1336.2147, usercpu_time_millis: 4.486, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 99.7208, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, scimark_benchmark: 1326.8987, usercpu_time_millis: 1.834, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7457, kappa: 0.2496, kb_relative_information_score: 93.1998, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.747, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9306, scimark_benchmark: 1345.667, usercpu_time_millis: 13.58, usercpu_time_millis_testing: 1.532, usercpu_time_millis_training: 12.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7436, kappa: 0.2531, kb_relative_information_score: 86.4578, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9564, scimark_benchmark: 1334.3387, usercpu_time_millis: 26.662, usercpu_time_millis_testing: 2.676, usercpu_time_millis_training: 23.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7479, kappa: 0.2629, kb_relative_information_score: 94.7496, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7438, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9421, scimark_benchmark: 1332.8944, usercpu_time_millis: 7.725, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 6.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7647, kappa: 0.3072, kb_relative_information_score: 87.1547, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7688, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921, scimark_benchmark: 1329.1644, usercpu_time_millis: 9.818, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 8.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7432, kappa: 0.2474, kb_relative_information_score: 89.5699, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7391, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.9589, scimark_benchmark: 1341.6405, usercpu_time_millis: 29.355, usercpu_time_millis_testing: 3.424, usercpu_time_millis_training: 25.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7477, kappa: 0.2519, kb_relative_information_score: 78.6796, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7587, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9256, scimark_benchmark: 1326.4688, usercpu_time_millis: 10.037, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 9.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7528, kappa: 0.2774, kb_relative_information_score: 99.9401, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7493, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9332, scimark_benchmark: 1326.5655, usercpu_time_millis: 29.27, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 26.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7498, kappa: 0.2613, kb_relative_information_score: 92.483, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7528, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.927, scimark_benchmark: 1340.2287, usercpu_time_millis: 18.421, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 16.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7436, kappa: 0.245, kb_relative_information_score: 89.8303, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7422, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9386, scimark_benchmark: 1326.676, usercpu_time_millis: 8.401, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 7.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7446, kappa: 0.2557, kb_relative_information_score: 87.8308, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.9589, scimark_benchmark: 1296.6244, usercpu_time_millis: 20.86, usercpu_time_millis_testing: 2.228, usercpu_time_millis_training: 18.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7436, kappa: 0.2531, kb_relative_information_score: 86.3512, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.9572, scimark_benchmark: 1324.0117, usercpu_time_millis: 46.522, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 42.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7623, kappa: 0.302, kb_relative_information_score: 96.1693, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7636, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9221, scimark_benchmark: 1327.2449, usercpu_time_millis: 13.892, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 12.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.7457, kappa: 0.2496, kb_relative_information_score: 91.0856, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.747, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9263, scimark_benchmark: 1345.6072, usercpu_time_millis: 17.65, usercpu_time_millis_testing: 2.488, usercpu_time_millis_training: 15.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.761, kappa: 0.2996, kb_relative_information_score: 101.9882, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9241, scimark_benchmark: 1318.0231, usercpu_time_millis: 20.484, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 18.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7396, kappa: 0.2421, kb_relative_information_score: 78.2004, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7328, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.9751, scimark_benchmark: 1337.0856, usercpu_time_millis: 43.902, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 39.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 102.5459, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9306, scimark_benchmark: 1334.8833, usercpu_time_millis: 2.472, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 2.209,

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