OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7573, kappa: 0.5018, kb_relative_information_score: 13464.2868, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.766, prior_entropy: 0.9835, recall: 0.766, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8221, scimark_benchmark: 1825.0002, usercpu_time_millis: 42.079, usercpu_time_millis_testing: 4.369, usercpu_time_millis_training: 37.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.0977, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1831.6845, usercpu_time_millis: 50.253, usercpu_time_millis_testing: 8.786, usercpu_time_millis_training: 41.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8326, kappa: 0.6558, kb_relative_information_score: 19925.3521, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.834, predictive_accuracy: 0.8339, prior_entropy: 0.9835, recall: 0.8339, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7155, scimark_benchmark: 1851.8567, usercpu_time_millis: 24.299, usercpu_time_millis_testing: 2.09, usercpu_time_millis_training: 22.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8767, kappa: 0.7473, kb_relative_information_score: 26904.4499, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8767, predictive_accuracy: 0.877, prior_entropy: 0.9835, recall: 0.877, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6102, scimark_benchmark: 1852.9259, usercpu_time_millis: 50.085, usercpu_time_millis_testing: 3.094, usercpu_time_millis_training: 46.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7549, kappa: 0.4963, kb_relative_information_score: 15046.3555, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7685, predictive_accuracy: 0.7624, prior_entropy: 0.9835, recall: 0.7624, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.814, scimark_benchmark: 1853.9121, usercpu_time_millis: 28.84, usercpu_time_millis_testing: 1.466, usercpu_time_millis_training: 27.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.919, kappa: 0.8341, kb_relative_information_score: 32974.8969, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.919, predictive_accuracy: 0.919, prior_entropy: 0.9835, recall: 0.919, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5026, scimark_benchmark: 1814.1977, usercpu_time_millis: 42.953, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 41.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8473, kappa: 0.6867, kb_relative_information_score: 24269.8887, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8474, predictive_accuracy: 0.8478, prior_entropy: 0.9835, recall: 0.8478, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6665, scimark_benchmark: 1846.2342, usercpu_time_millis: 24.886, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 23.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7488, kappa: 0.4856, kb_relative_information_score: 7542.881, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7727, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8917, scimark_benchmark: 1857.5664, usercpu_time_millis: 49.897, usercpu_time_millis_testing: 7.336, usercpu_time_millis_training: 42.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7578, kappa: 0.5029, kb_relative_information_score: 15475.9516, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7664, prior_entropy: 0.9835, recall: 0.7664, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8021, scimark_benchmark: 1846.3057, usercpu_time_millis: 45.784, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 42.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7555, kappa: 0.4988, kb_relative_information_score: 10860.9356, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7767, predictive_accuracy: 0.7652, prior_entropy: 0.9835, recall: 0.7652, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8477, scimark_benchmark: 1855.4813, usercpu_time_millis: 42.893, usercpu_time_millis_testing: 5.2, usercpu_time_millis_training: 37.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8377, kappa: 0.6667, kb_relative_information_score: 22485.1028, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8383, predictive_accuracy: 0.8386, prior_entropy: 0.9835, recall: 0.8386, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6883, scimark_benchmark: 1799.2259, usercpu_time_millis: 24.268, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 22.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7797, kappa: 0.5467, kb_relative_information_score: 17671.3711, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7872, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7811, scimark_benchmark: 1828.5093, usercpu_time_millis: 25.063, usercpu_time_millis_testing: 1.941, usercpu_time_millis_training: 23.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.1319, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1890.4443, usercpu_time_millis: 26.145, usercpu_time_millis_testing: 4.565, usercpu_time_millis_training: 21.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8176, kappa: 0.6248, kb_relative_information_score: 20265.4803, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8192, predictive_accuracy: 0.8192, prior_entropy: 0.9835, recall: 0.8192, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7269, scimark_benchmark: 1832.5979, usercpu_time_millis: 7.809, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 7.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9139, kappa: 0.8237, kb_relative_information_score: 31904.9647, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.9835, recall: 0.914, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5176, scimark_benchmark: 1857.0384, usercpu_time_millis: 18.994, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 17.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9042, kappa: 0.804, kb_relative_information_score: 30295.4755, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9042, predictive_accuracy: 0.9042, prior_entropy: 0.9835, recall: 0.9042, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5471, scimark_benchmark: 1853.9121, usercpu_time_millis: 27.808, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 26.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7569, kappa: 0.5011, kb_relative_information_score: 13724.3395, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7657, prior_entropy: 0.9835, recall: 0.7657, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8188, scimark_benchmark: 1785.0925, usercpu_time_millis: 29.152, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 26.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7885, kappa: 0.5648, kb_relative_information_score: 17961.6984, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7911, prior_entropy: 0.9835, recall: 0.7911, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7767, scimark_benchmark: 1834.7077, usercpu_time_millis: 8.609, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 8.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7962, kappa: 0.5814, kb_relative_information_score: 18529.6562, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7964, predictive_accuracy: 0.7973, prior_entropy: 0.9835, recall: 0.7973, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7678, scimark_benchmark: 1834.5866, usercpu_time_millis: 38.464, usercpu_time_millis_testing: 1.827, usercpu_time_millis_training: 36.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8462, kappa: 0.6845, kb_relative_information_score: 24138.9893, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8463, predictive_accuracy: 0.8467, prior_entropy: 0.9835, recall: 0.8467, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6676, scimark_benchmark: 1824.1861, usercpu_time_millis: 25.918, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 24.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8657, kappa: 0.7246, kb_relative_information_score: 25858.7668, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9835, recall: 0.866, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6309, scimark_benchmark: 1825.4611, usercpu_time_millis: 16.173, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 15.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7743, kappa: 0.5356, kb_relative_information_score: 17433.7998, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7821, predictive_accuracy: 0.7792, prior_entropy: 0.9835, recall: 0.7792, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7858, scimark_benchmark: 1853.3841, usercpu_time_millis: 32.293, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 30.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.796, kappa: 0.5818, kb_relative_information_score: 18746.489, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7965, prior_entropy: 0.9835, recall: 0.7965, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7698, scimark_benchmark: 1845.2509, usercpu_time_millis: 23.943, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 23.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8523, kappa: 0.6972, kb_relative_information_score: 25209.1861, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8523, predictive_accuracy: 0.8527, prior_entropy: 0.9835, recall: 0.8527, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6531, scimark_benchmark: 1858.0974, usercpu_time_millis: 6.73, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 6.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.775, kappa: 0.5372, kb_relative_information_score: 17082.8086, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.7811, prior_entropy: 0.9835, recall: 0.7811, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7801, scimark_benchmark: 1853.9121, usercpu_time_millis: 14.038, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 13.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.4697, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1818.1228, usercpu_time_millis: 21.002, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 19.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8729, kappa: 0.7395, kb_relative_information_score: 27329.7279, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8728, predictive_accuracy: 0.873, prior_entropy: 0.9835, recall: 0.873, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6162, scimark_benchmark: 1829.0188, usercpu_time_millis: 27.409, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 26.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8503, kappa: 0.693, kb_relative_information_score: 25363.5241, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8502, predictive_accuracy: 0.8506, prior_entropy: 0.9835, recall: 0.8506, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6567, scimark_benchmark: 1805.187, usercpu_time_millis: 3.791, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 3.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7003, kappa: 0.3922, kb_relative_information_score: 10724.8782, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7402, predictive_accuracy: 0.72, prior_entropy: 0.9835, recall: 0.72, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8917, scimark_benchmark: 1850.8706, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7587, kappa: 0.5044, kb_relative_information_score: 15724.2426, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7667, prior_entropy: 0.9835, recall: 0.7667, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8039, scimark_benchmark: 1794.9922, usercpu_time_millis: 5.315, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8202, kappa: 0.6307, kb_relative_information_score: 21322.9207, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8208, predictive_accuracy: 0.8212, prior_entropy: 0.9835, recall: 0.8212, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7203, scimark_benchmark: 1822.0519, usercpu_time_millis: 4.229, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 3.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.782, kappa: 0.5514, kb_relative_information_score: 17487.7265, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7913, predictive_accuracy: 0.787, prior_entropy: 0.9835, recall: 0.787, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7751, scimark_benchmark: 1851.3986, usercpu_time_millis: 20.251, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 19.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8562, kappa: 0.7049, kb_relative_information_score: 22654.6749, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8563, predictive_accuracy: 0.8567, prior_entropy: 0.9835, recall: 0.8567, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.673, scimark_benchmark: 1853.454, usercpu_time_millis: 5.986, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 5.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7753, kappa: 0.5378, kb_relative_information_score: 17268.7666, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7853, predictive_accuracy: 0.7808, prior_entropy: 0.9835, recall: 0.7808, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7819, scimark_benchmark: 1816.1609, usercpu_time_millis: 12.57, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 12.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7495, kappa: 0.486, kb_relative_information_score: 9308.4384, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7679, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8747, scimark_benchmark: 1850.2875, usercpu_time_millis: 5.855, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 5.517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7532, kappa: 0.4923, kb_relative_information_score: 10840.6042, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8569, scimark_benchmark: 1294.777, usercpu_time_millis: 1545.95, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1545.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8737, kappa: 0.7412, kb_relative_information_score: 28255.863, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 0.9835, recall: 0.8739, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6078, scimark_benchmark: 1285.2844, usercpu_time_millis: 1322.373, usercpu_time_millis_testing: 19.267, usercpu_time_millis_training: 1303.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8239, kappa: 0.638, kb_relative_information_score: 21865.0919, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8251, predictive_accuracy: 0.8252, prior_entropy: 0.9835, recall: 0.8252, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7163, scimark_benchmark: 1300.7149, usercpu_time_millis: 2829.061, usercpu_time_millis_testing: 47.114, usercpu_time_millis_training: 2781.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8822, kappa: 0.7585, kb_relative_information_score: 28728.8341, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8821, predictive_accuracy: 0.8823, prior_entropy: 0.9835, recall: 0.8823, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5942, scimark_benchmark: 1296.5169, usercpu_time_millis: 4999.465, usercpu_time_millis_testing: 93.602, usercpu_time_millis_training: 4905.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6781, kappa: 0.3402, kb_relative_information_score: 6305.8836, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6921, predictive_accuracy: 0.6908, prior_entropy: 0.9835, recall: 0.6908, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9145, scimark_benchmark: 1300.146, usercpu_time_millis: 1655.62, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1655.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.753, kappa: 0.4916, kb_relative_information_score: 15273.8638, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7598, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8222, scimark_benchmark: 1290.7739, usercpu_time_millis: 1854.618, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1854.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.4211, kappa: 0.0009, kb_relative_information_score: -1627.315, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7558, predictive_accuracy: 0.5758, prior_entropy: 0.9835, recall: 0.5758, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0114, scimark_benchmark: 1303.8277, usercpu_time_millis: 3.847, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8376, kappa: 0.6666, kb_relative_information_score: 23219.5239, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.838, predictive_accuracy: 0.8384, prior_entropy: 0.9835, recall: 0.8384, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6915, scimark_benchmark: 1292.6692, usercpu_time_millis: 3612.544, usercpu_time_millis_testing: 62.304, usercpu_time_millis_training: 3550.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7552, kappa: 0.496, kb_relative_information_score: 15806.7542, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.76, prior_entropy: 0.9835, recall: 0.76, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8211, scimark_benchmark: 1297.3467, usercpu_time_millis: 152.234, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 152.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9205, kappa: 0.8372, kb_relative_information_score: 33427.4766, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9205, predictive_accuracy: 0.9205, prior_entropy: 0.9835, recall: 0.9205, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4937, scimark_benchmark: 1294.0893, usercpu_time_millis: 5700.65, usercpu_time_millis_testing: 71.196, usercpu_time_millis_training: 5629.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.671, kappa: 0.3247, kb_relative_information_score: 6447.4909, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6821, predictive_accuracy: 0.6828, prior_entropy: 0.9835, recall: 0.6828, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9154, scimark_benchmark: 1282.7587, usercpu_time_millis: 1427.878, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1427.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8143, kappa: 0.618, kb_relative_information_score: 20867.813, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8162, predictive_accuracy: 0.8161, prior_entropy: 0.9835, recall: 0.8161, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7337, scimark_benchmark: 1304.436, usercpu_time_millis: 731.346, usercpu_time_millis_testing: 9.145, usercpu_time_millis_training: 722.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7505, kappa: 0.4867, kb_relative_information_score: 14170.32, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.7566, prior_entropy: 0.9835, recall: 0.7566, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8272, scimark_benchmark: 1286.9297, usercpu_time_millis: 874.783, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 874.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7763, kappa: 0.5401, kb_relative_information_score: 17018.9963, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7895, predictive_accuracy: 0.7827, prior_entropy: 0.9835, recall: 0.7827, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7847, scimark_benchmark: 1293.4317, usercpu_time_millis: 1854.45, usercpu_time_millis_testing: 27.394, usercpu_time_millis_training: 1827.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7544, kappa: 0.4945, kb_relative_information_score: 14467.5952, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8275, scimark_benchmark: 1300.3486, usercpu_time_millis: 289.354, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 289.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7552, kappa: 0.4961, kb_relative_information_score: 15641.0327, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7598, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8252, scimark_benchmark: 1288.5494, usercpu_time_millis: 37.336, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 37.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8366, kappa: 0.6645, kb_relative_information_score: 23570.2634, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8368, predictive_accuracy: 0.8372, prior_entropy: 0.9835, recall: 0.8372, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6893, scimark_benchmark: 1296.7217, usercpu_time_millis: 3811.355, usercpu_time_millis_testing: 56.927, usercpu_time_millis_training: 3754.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7572, kappa: 0.5017, kb_relative_information_score: 9649.7097, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7754, predictive_accuracy: 0.766, prior_entropy: 0.9835, recall: 0.766, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8635, scimark_benchmark: 1296.5484, usercpu_time_millis: 214.154, usercpu_time_millis_testing: 3.246, usercpu_time_millis_training: 210.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.6845, kappa: 0.3603, kb_relative_information_score: 4782.088, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7221, predictive_accuracy: 0.7054, prior_entropy: 0.9835, recall: 0.7054, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9288, scimark_benchmark: 1279.4044, usercpu_time_millis: 39.032, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 38.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8818, kappa: 0.7578, kb_relative_information_score: 28918.7737, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8818, predictive_accuracy: 0.882, prior_entropy: 0.9835, recall: 0.882, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5915, scimark_benchmark: 1294.8842, usercpu_time_millis: 4907.416, usercpu_time_millis_testing: 88.936, usercpu_time_millis_training: 4818.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.753, kappa: 0.4917, kb_relative_information_score: 15241.9489, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8222, scimark_benchmark: 1290.2418, usercpu_time_millis: 543.53, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 543.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6641, kappa: 0.3108, kb_relative_information_score: 6615.4649, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6751, predictive_accuracy: 0.6764, prior_entropy: 0.9835, recall: 0.6764, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9154, scimark_benchmark: 1290.0958, usercpu_time_millis: 1765.312, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1765.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6101, kappa: 0.2146, kb_relative_information_score: 3792.6453, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6438, predictive_accuracy: 0.641, prior_entropy: 0.9835, recall: 0.641, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9467, scimark_benchmark: 1297.18, usercpu_time_millis: 116.257, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 116.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8572, kappa: 0.7071, kb_relative_information_score: 26205.7866, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9835, recall: 0.8576, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6447, scimark_benchmark: 1285.1502, usercpu_time_millis: 5956.402, usercpu_time_millis_testing: 85.97, usercpu_time_millis_training: 5870.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.6917, kappa: 0.3681, kb_relative_information_score: 6506.8756, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7072, predictive_accuracy: 0.704, prior_entropy: 0.9835, recall: 0.704, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9104, scimark_benchmark: 1266.8401, usercpu_time_millis: 239.97, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 239.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8922, kappa: 0.7791, kb_relative_information_score: 29941.1981, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8921, predictive_accuracy: 0.8923, prior_entropy: 0.9835, recall: 0.8923, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5679, scimark_benchmark: 1295.0049, usercpu_time_millis: 5603.649, usercpu_time_millis_testing: 56.543, usercpu_time_millis_training: 5547.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8756, kappa: 0.7449, kb_relative_information_score: 28259.9212, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9835, recall: 0.8758, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6047, scimark_benchmark: 1288.2755, usercpu_time_millis: 2305.72, usercpu_time_millis_testing: 45.472, usercpu_time_millis_training: 2260.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7437, kappa: 0.4732, kb_relative_information_score: 9748.1294, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7552, predictive_accuracy: 0.7511, prior_entropy: 0.9835, recall: 0.7511, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8683, scimark_benchmark: 1305.0417, usercpu_time_millis: 1458.121, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1458.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8757, kappa: 0.7453, kb_relative_information_score: 28365.6788, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8757, predictive_accuracy: 0.8759, prior_entropy: 0.9835, recall: 0.8759, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6035, scimark_benchmark: 1285.8748, usercpu_time_millis: 1951.377, usercpu_time_millis_testing: 33.177, usercpu_time_millis_training: 1918.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8881, kappa: 0.7708, kb_relative_information_score: 29844.4866, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8881, predictive_accuracy: 0.8883, prior_entropy: 0.9835, recall: 0.8883, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5759, scimark_benchmark: 1291.5776, usercpu_time_millis: 3538.788, usercpu_time_millis_testing: 65.933, usercpu_time_millis_training: 3472.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7454, kappa: 0.4763, kb_relative_information_score: 13168.3168, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7545, predictive_accuracy: 0.7519, prior_entropy: 0.9835, recall: 0.7519, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.836, scimark_benchmark: 1293.4093, usercpu_time_millis: 1645.445, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 1645.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8483, kappa: 0.6887, kb_relative_information_score: 25543.9501, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8484, predictive_accuracy: 0.8487, prior_entropy: 0.9835, recall: 0.8487, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6648, scimark_benchmark: 1279.9343, usercpu_time_millis: 513.861, usercpu_time_millis_testing: 8.16, usercpu_time_millis_training: 505.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8836, kappa: 0.7614, kb_relative_information_score: 29047.19, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8835, predictive_accuracy: 0.8837, prior_entropy: 0.9835, recall: 0.8837, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.5903, scimark_benchmark: 1299.3355, usercpu_time_millis: 4305.589, usercpu_time_millis_testing: 68.873, usercpu_time_millis_training: 4236.716,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs