Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9494, kappa: 0.8936, kb_relative_information_score: 3441.4024, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4401, scimark_benchmark: 1284.87, usercpu_time_millis: 246.728, usercpu_time_millis_testing: 16.594, usercpu_time_millis_training: 230.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9306, kappa: 0.854, kb_relative_information_score: 2842.4677, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9316, predictive_accuracy: 0.9311, prior_entropy: 0.9674, recall: 0.9311, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.545, scimark_benchmark: 1288.8083, usercpu_time_millis: 39.35, usercpu_time_millis_testing: 2.85, usercpu_time_millis_training: 36.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9335, kappa: 0.86, kb_relative_information_score: 2998.1591, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9344, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5163, scimark_benchmark: 1296.0359, usercpu_time_millis: 85.477, usercpu_time_millis_testing: 6.594, usercpu_time_millis_training: 78.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9486, kappa: 0.892, kb_relative_information_score: 3537.8452, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4297, scimark_benchmark: 1299.7354, usercpu_time_millis: 318.876, usercpu_time_millis_testing: 16.806, usercpu_time_millis_training: 302.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.949, kappa: 0.8928, kb_relative_information_score: 3530.3154, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9492, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4287, scimark_benchmark: 1302.4501, usercpu_time_millis: 305.33, usercpu_time_millis_testing: 17.911, usercpu_time_millis_training: 287.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9317, kappa: 0.8563, kb_relative_information_score: 2714.3122, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9322, prior_entropy: 0.9674, recall: 0.9322, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5647, scimark_benchmark: 1299.1025, usercpu_time_millis: 14.537, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 13.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9391, kappa: 0.8719, kb_relative_information_score: 3251.9247, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4801, scimark_benchmark: 1285.0691, usercpu_time_millis: 266.983, usercpu_time_millis_testing: 11.806, usercpu_time_millis_training: 255.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8246, kappa: 0.6298, kb_relative_information_score: 1271.9577, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8638, predictive_accuracy: 0.8353, prior_entropy: 0.9674, recall: 0.8353, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.8, scimark_benchmark: 1277.407, usercpu_time_millis: 12.799, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 11.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9428, kappa: 0.8799, kb_relative_information_score: 3364.6961, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4646, scimark_benchmark: 1282.0695, usercpu_time_millis: 10.038, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 9.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9512, kappa: 0.8976, kb_relative_information_score: 3651.7833, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4103, scimark_benchmark: 1286.1796, usercpu_time_millis: 338.541, usercpu_time_millis_testing: 13.54, usercpu_time_millis_training: 325.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9428, kappa: 0.8798, kb_relative_information_score: 3485.5758, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4439, scimark_benchmark: 1304.887, usercpu_time_millis: 230.573, usercpu_time_millis_testing: 12.325, usercpu_time_millis_training: 218.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9444, kappa: 0.8831, kb_relative_information_score: 3416.6319, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4478, scimark_benchmark: 1298.7046, usercpu_time_millis: 115.714, usercpu_time_millis_testing: 7.655, usercpu_time_millis_training: 108.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9351, kappa: 0.8636, kb_relative_information_score: 3188.27, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4955, scimark_benchmark: 1299.4305, usercpu_time_millis: 228.708, usercpu_time_millis_testing: 10.769, usercpu_time_millis_training: 217.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9483, kappa: 0.8913, kb_relative_information_score: 3419.8943, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.9674, recall: 0.9485, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4438, scimark_benchmark: 1296.2315, usercpu_time_millis: 106.888, usercpu_time_millis_testing: 6.932, usercpu_time_millis_training: 99.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9555, kappa: 0.9067, kb_relative_information_score: 3708.6885, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9674, recall: 0.9557, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3978, scimark_benchmark: 1295.9166, usercpu_time_millis: 404.806, usercpu_time_millis_testing: 20.757, usercpu_time_millis_training: 384.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9412, kappa: 0.8764, kb_relative_information_score: 3242.4185, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4722, scimark_benchmark: 1283.9761, usercpu_time_millis: 80.954, usercpu_time_millis_testing: 6.342, usercpu_time_millis_training: 74.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9507, kappa: 0.8965, kb_relative_information_score: 3589.8816, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195, scimark_benchmark: 1285.3221, usercpu_time_millis: 191.995, usercpu_time_millis_testing: 9.969, usercpu_time_millis_training: 182.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9446, kappa: 0.8835, kb_relative_information_score: 3366.7041, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4549, scimark_benchmark: 1299.9958, usercpu_time_millis: 61.578, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 56.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9547, kappa: 0.9048, kb_relative_information_score: 3641.4055, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9674, recall: 0.9548, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4063, scimark_benchmark: 1248.2457, usercpu_time_millis: 359.913, usercpu_time_millis_testing: 19.518, usercpu_time_millis_training: 340.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8737, kappa: 0.7324, kb_relative_information_score: 1631.2696, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8897, predictive_accuracy: 0.8779, prior_entropy: 0.9674, recall: 0.8779, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7399, scimark_benchmark: 1295.8487, usercpu_time_millis: 36.697, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 33.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9505, kappa: 0.8961, kb_relative_information_score: 3632.0989, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4164, scimark_benchmark: 1287.112, usercpu_time_millis: 258.161, usercpu_time_millis_testing: 10.691, usercpu_time_millis_training: 247.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9525, kappa: 0.9003, kb_relative_information_score: 3665.1058, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4063, scimark_benchmark: 1282.0232, usercpu_time_millis: 391.818, usercpu_time_millis_testing: 20.398, usercpu_time_millis_training: 371.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9324, kappa: 0.8576, kb_relative_information_score: 2720.7391, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9335, predictive_accuracy: 0.9328, prior_entropy: 0.9674, recall: 0.9328, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5593, scimark_benchmark: 1302.4862, usercpu_time_millis: 71.789, usercpu_time_millis_testing: 5.799, usercpu_time_millis_training: 65.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9309, kappa: 0.8546, kb_relative_information_score: 2864.227, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9317, predictive_accuracy: 0.9313, prior_entropy: 0.9674, recall: 0.9313, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5444, scimark_benchmark: 1290.0906, usercpu_time_millis: 51.927, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 48.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9437, kappa: 0.8817, kb_relative_information_score: 3390.5498, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4497, scimark_benchmark: 1300.0658, usercpu_time_millis: 239.824, usercpu_time_millis_testing: 17.802, usercpu_time_millis_training: 222.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9501, kappa: 0.8952, kb_relative_information_score: 3638.8644, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9503, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4125, scimark_benchmark: 1298.2422, usercpu_time_millis: 122.598, usercpu_time_millis_testing: 5.289, usercpu_time_millis_training: 117.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9415, kappa: 0.877, kb_relative_information_score: 3438.0961, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4491, scimark_benchmark: 1300.0862, usercpu_time_millis: 205.229, usercpu_time_millis_testing: 14.161, usercpu_time_millis_training: 191.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8802, kappa: 0.7462, kb_relative_information_score: 1710.8802, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8936, predictive_accuracy: 0.8837, prior_entropy: 0.9674, recall: 0.8837, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.727, scimark_benchmark: 1285.0675, usercpu_time_millis: 55.229, usercpu_time_millis_testing: 4.375, usercpu_time_millis_training: 50.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9255, kappa: 0.8432, kb_relative_information_score: 2562.2789, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9267, predictive_accuracy: 0.9261, prior_entropy: 0.9674, recall: 0.9261, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.59, scimark_benchmark: 1300.838, usercpu_time_millis: 41.618, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 39.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.952, kappa: 0.8993, kb_relative_information_score: 3591.8004, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4168, scimark_benchmark: 1296.6472, usercpu_time_millis: 34.025, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 32.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 3639.6077, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.9674, recall: 0.9544, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4087, scimark_benchmark: 1297.8239, usercpu_time_millis: 444.168, usercpu_time_millis_testing: 21.736, usercpu_time_millis_training: 422.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.938, kappa: 0.8696, kb_relative_information_score: 3356.2522, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9385, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4676, scimark_benchmark: 1301.0556, usercpu_time_millis: 29.144, usercpu_time_millis_testing: 2.098, usercpu_time_millis_training: 27.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.944, kappa: 0.8823, kb_relative_information_score: 3529.9515, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4347, scimark_benchmark: 1280.3242, usercpu_time_millis: 27.456, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 26.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9503, kappa: 0.8955, kb_relative_information_score: 3502.6079, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9506, predictive_accuracy: 0.9504, prior_entropy: 0.9674, recall: 0.9504, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4283, scimark_benchmark: 1289.1524, usercpu_time_millis: 328.144, usercpu_time_millis_testing: 19.166, usercpu_time_millis_training: 308.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9327, kappa: 0.8585, kb_relative_information_score: 3022.5585, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9332, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5224, scimark_benchmark: 1302.1467, usercpu_time_millis: 99.599, usercpu_time_millis_testing: 7.262, usercpu_time_millis_training: 92.337,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9355, kappa: 0.8644, kb_relative_information_score: 3105.3349, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5038, scimark_benchmark: 1301.6767, usercpu_time_millis: 94.822, usercpu_time_millis_testing: 5.499, usercpu_time_millis_training: 89.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9437, kappa: 0.8818, kb_relative_information_score: 3451.539, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.944, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4422, scimark_benchmark: 1285.6453, usercpu_time_millis: 13.083, usercpu_time_millis_testing: -0.024, usercpu_time_millis_training: 13.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9329, kappa: 0.8587, kb_relative_information_score: 2912.6167, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9337, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5328, scimark_benchmark: 1296.7914, usercpu_time_millis: 148.224, usercpu_time_millis_testing: 10.266, usercpu_time_millis_training: 137.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9239, kappa: 0.8394, kb_relative_information_score: 2625.114, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9268, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5725, scimark_benchmark: 1295.324, usercpu_time_millis: 47.492, usercpu_time_millis_testing: 3.734, usercpu_time_millis_training: 43.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9435, kappa: 0.8812, kb_relative_information_score: 3375.3184, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9438, predictive_accuracy: 0.9437, prior_entropy: 0.9674, recall: 0.9437, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4566, scimark_benchmark: 1296.4669, usercpu_time_millis: 48.181, usercpu_time_millis_testing: 2.923, usercpu_time_millis_training: 45.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9193, kappa: 0.83, kb_relative_information_score: 2336.5078, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9208, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6256, scimark_benchmark: 1293.5404, usercpu_time_millis: 29.301, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 26.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.948, kappa: 0.8907, kb_relative_information_score: 3376.3321, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4477, scimark_benchmark: 1292.3366, usercpu_time_millis: 136.469, usercpu_time_millis_testing: 9.576, usercpu_time_millis_training: 126.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3075.5308, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5125, scimark_benchmark: 1302.2443, usercpu_time_millis: 103.491, usercpu_time_millis_testing: 5.638, usercpu_time_millis_training: 97.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9349, kappa: 0.863, kb_relative_information_score: 3088.1471, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9355, predictive_accuracy: 0.9352, prior_entropy: 0.9674, recall: 0.9352, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5082, scimark_benchmark: 1303.909, usercpu_time_millis: 184.845, usercpu_time_millis_testing: 10.73, usercpu_time_millis_training: 174.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9512, kappa: 0.8974, kb_relative_information_score: 3621.452, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9514, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4123, scimark_benchmark: 1282.645, usercpu_time_millis: 163.803, usercpu_time_millis_testing: 9.444, usercpu_time_millis_training: 154.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9183, kappa: 0.8275, kb_relative_information_score: 2483.8628, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9218, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5968, scimark_benchmark: 1303.1765, usercpu_time_millis: 80.971, usercpu_time_millis_testing: 6.253, usercpu_time_millis_training: 74.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.936, kappa: 0.8655, kb_relative_information_score: 3253.8323, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9365, predictive_accuracy: 0.9363, prior_entropy: 0.9674, recall: 0.9363, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4856, scimark_benchmark: 1298.8201, usercpu_time_millis: 52.111, usercpu_time_millis_testing: 3.879, usercpu_time_millis_training: 48.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9344, kappa: 0.8621, kb_relative_information_score: 2990.541, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5221, scimark_benchmark: 1296.5919, usercpu_time_millis: 220.351, usercpu_time_millis_testing: 10.955, usercpu_time_millis_training: 209.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.934, kappa: 0.8611, kb_relative_information_score: 2937.4757, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5287, scimark_benchmark: 1282.5477, usercpu_time_millis: 169.083, usercpu_time_millis_testing: 9.214, usercpu_time_millis_training: 159.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9468, kappa: 0.8882, kb_relative_information_score: 3526.219, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4351, scimark_benchmark: 1279.9106, usercpu_time_millis: 390.654, usercpu_time_millis_testing: 14.525, usercpu_time_millis_training: 376.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9513, kappa: 0.8978, kb_relative_information_score: 3537.9635, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9517, predictive_accuracy: 0.9515, prior_entropy: 0.9674, recall: 0.9515, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4227, scimark_benchmark: 1304.2286, usercpu_time_millis: 72.807, usercpu_time_millis_testing: 4.661, usercpu_time_millis_training: 68.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9397, kappa: 0.8733, kb_relative_information_score: 3345.5371, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 0.9674, recall: 0.94, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4639, scimark_benchmark: 1294.9891, usercpu_time_millis: 203.02, usercpu_time_millis_testing: 10.446, usercpu_time_millis_training: 192.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9265, kappa: 0.845, kb_relative_information_score: 2637.7139, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9274, prior_entropy: 0.9674, recall: 0.9274, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5705, scimark_benchmark: 1306.3799, usercpu_time_millis: 61.985, usercpu_time_millis_testing: 5.721, usercpu_time_millis_training: 56.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9285, kappa: 0.8494, kb_relative_information_score: 2824.0343, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9294, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.551, scimark_benchmark: 1307.0963, usercpu_time_millis: 48.904, usercpu_time_millis_testing: 3.215, usercpu_time_millis_training: 45.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9441, kappa: 0.8825, kb_relative_information_score: 3401.5345, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9446, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4508, scimark_benchmark: 1302.0078, usercpu_time_millis: 48.158, usercpu_time_millis_testing: 3.346, usercpu_time_millis_training: 44.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9149, kappa: 0.8202, kb_relative_information_score: 2259.9953, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9189, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6338, scimark_benchmark: 1297.3097, usercpu_time_millis: 37.447, usercpu_time_millis_testing: 3.604, usercpu_time_millis_training: 33.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9358, kappa: 0.8649, kb_relative_information_score: 3093.2165, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9364, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5063, scimark_benchmark: 1290.8548, usercpu_time_millis: 29.642, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 26.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9391, kappa: 0.8719, kb_relative_information_score: 3376.0481, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4625, scimark_benchmark: 1297.0067, usercpu_time_millis: 125.876, usercpu_time_millis_testing: 9.289, usercpu_time_millis_training: 116.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9507, kappa: 0.8965, kb_relative_information_score: 3562.4409, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4228, scimark_benchmark: 1302.5755, usercpu_time_millis: 279.198, usercpu_time_millis_testing: 15.984, usercpu_time_millis_training: 263.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9551, kappa: 0.9058, kb_relative_information_score: 3731.8961, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, recall: 0.9552, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3974, scimark_benchmark: 1277.286, usercpu_time_millis: 94.354, usercpu_time_millis_testing: 3.964, usercpu_time_millis_training: 90.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9424, kappa: 0.8789, kb_relative_information_score: 3450.7792, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9674, recall: 0.9426, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.449, scimark_benchmark: 1271.6625, usercpu_time_millis: 41.974, usercpu_time_millis_testing: 1.949, usercpu_time_millis_training: 40.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9409, kappa: 0.8757, kb_relative_information_score: 3305.8758, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4673, scimark_benchmark: 1295.8578, usercpu_time_millis: 36.496, usercpu_time_millis_testing: 2.524, usercpu_time_millis_training: 33.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9494, kappa: 0.8937, kb_relative_information_score: 3460.369, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4367, scimark_benchmark: 1293.2909, usercpu_time_millis: 22.505, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 21.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9282, kappa: 0.849, kb_relative_information_score: 2755.1053, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9291, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5616, scimark_benchmark: 1294.5799, usercpu_time_millis: 18.091, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 17.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.949, kappa: 0.8928, kb_relative_information_score: 3544.3749, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9492, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4278, scimark_benchmark: 1305.4322, usercpu_time_millis: 379.467, usercpu_time_millis_testing: 18.145, usercpu_time_millis_training: 361.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9199, kappa: 0.8314, kb_relative_information_score: 2424.5889, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9208, predictive_accuracy: 0.9205, prior_entropy: 0.9674, recall: 0.9205, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6139, scimark_benchmark: 1299.5543, usercpu_time_millis: 79.579, usercpu_time_millis_testing: 5.823, usercpu_time_millis_training: 73.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.927, kappa: 0.8463, kb_relative_information_score: 2565.4999, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.588, scimark_benchmark: 1290.4986, usercpu_time_millis: 6.745, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 6.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: -0.5617, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1297.6255, usercpu_time_millis: 34.849, usercpu_time_millis_testing: 4.142, usercpu_time_millis_training: 30.707,

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