Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 146803 Supervised Classification credit-g 3486 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7423, kappa: 0.3638, kb_relative_information_score: 188.3912, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.887, scimark_benchmark: 1351.3, usercpu_time_millis: 3.279, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 3.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7387, kappa: 0.3519, kb_relative_information_score: 190.8701, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7497, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8768, scimark_benchmark: 1327.9148, usercpu_time_millis: 7.097, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 6.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.2602, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1359.3362, usercpu_time_millis: 1.745, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.687, kappa: 0.2232, kb_relative_information_score: 107.9954, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6888, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9305, scimark_benchmark: 1358.4363, usercpu_time_millis: 2.044, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7418, kappa: 0.3693, kb_relative_information_score: 219.9428, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7392, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8943, scimark_benchmark: 1351.6698, usercpu_time_millis: 21.408, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 19.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.734, kappa: 0.3404, kb_relative_information_score: 180.1342, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7429, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8853, scimark_benchmark: 1358.8618, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.7295, kappa: 0.3299, kb_relative_information_score: 173.8092, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1358.357, usercpu_time_millis: 1.544, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.74, kappa: 0.3562, kb_relative_information_score: 186.2682, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7463, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8848, scimark_benchmark: 1368.9442, usercpu_time_millis: 0.924, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.5457, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1358.2385, usercpu_time_millis: 0.855, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.6874, kappa: 0.2287, kb_relative_information_score: 140.8212, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7468, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8985, scimark_benchmark: 1360.0759, usercpu_time_millis: 3.723, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 3.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7247, kappa: 0.3167, kb_relative_information_score: 163.2273, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7357, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8963, scimark_benchmark: 1353.7243, usercpu_time_millis: 3.757, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7306, kappa: 0.3324, kb_relative_information_score: 177.5663, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7376, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8929, scimark_benchmark: 1361.1561, usercpu_time_millis: 1.591, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7402, kappa: 0.3561, kb_relative_information_score: 189.5569, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7492, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8766, scimark_benchmark: 1348.8162, usercpu_time_millis: 7.18, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 6.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7435, kappa: 0.3664, kb_relative_information_score: 183.4774, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7473, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8881, scimark_benchmark: 1348.4688, usercpu_time_millis: 6.548, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 6.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.5783, kappa: 0.0027, kb_relative_information_score: 84.7562, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6403, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9295, scimark_benchmark: 1356.1658, usercpu_time_millis: 2.389, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 2.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7427, kappa: 0.3621, kb_relative_information_score: 189.41, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7533, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8757, scimark_benchmark: 1350.3952, usercpu_time_millis: 13.426, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 11.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7215, kappa: 0.308, kb_relative_information_score: 173.7516, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7387, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8839, scimark_benchmark: 1351.5701, usercpu_time_millis: 4.246, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.4211, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1357.6904, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 1.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.5992, kappa: 0.0461, kb_relative_information_score: 97.7022, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7949, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9243, scimark_benchmark: 1347.3816, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6801, kappa: 0.2079, kb_relative_information_score: 135.1802, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7144, predictive_accuracy: 0.731, prior_entropy: 0.8818, recall: 0.731, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9032, scimark_benchmark: 1350.3994, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7573, kappa: 0.404, kb_relative_information_score: 217.9346, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7574, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8777, scimark_benchmark: 1363.3801, usercpu_time_millis: 12.407, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 11.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1348.8294, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7504, kappa: 0.3842, kb_relative_information_score: 210.0939, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.877, scimark_benchmark: 1363.053, usercpu_time_millis: 2.088, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7138, kappa: 0.2889, kb_relative_information_score: 150.1198, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7344, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9004, scimark_benchmark: 1363.1575, usercpu_time_millis: 3.015, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.75, kappa: 0.3829, kb_relative_information_score: 194.0279, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.881, scimark_benchmark: 1355.7785, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7393, kappa: 0.3541, kb_relative_information_score: 181.2259, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7479, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8817, scimark_benchmark: 1364.274, usercpu_time_millis: 2.506, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 2.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7188, kappa: 0.3057, kb_relative_information_score: 186.8011, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7186, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9415, scimark_benchmark: 1357.3779, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.4933, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1357.4179, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7605, kappa: 0.4128, kb_relative_information_score: 209.5561, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.76, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8841, scimark_benchmark: 1360.2089, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7377, kappa: 0.3501, kb_relative_information_score: 181.5556, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.881, scimark_benchmark: 1350.9862, usercpu_time_millis: 5.353, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 4.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6684, kappa: 0.1784, kb_relative_information_score: 111.9038, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6931, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9235, scimark_benchmark: 1339.5243, usercpu_time_millis: 4.905, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 4.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7321, kappa: 0.3355, kb_relative_information_score: 172.1462, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7418, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8875, scimark_benchmark: 1351.3637, usercpu_time_millis: 5.807, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 5.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7453, kappa: 0.371, kb_relative_information_score: 190.4123, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8848, scimark_benchmark: 1351.2798, usercpu_time_millis: 3.628, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7494, kappa: 0.3841, kb_relative_information_score: 213.5847, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8831, scimark_benchmark: 1350.87, usercpu_time_millis: 7.578, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 7.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 220.1852, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.891, scimark_benchmark: 1356.1086, usercpu_time_millis: 18.238, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 17.048,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7601, kappa: 0.409, kb_relative_information_score: 207.8321, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7628, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8765, scimark_benchmark: 1347.0043, usercpu_time_millis: 17.736, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 16.348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7102, kappa: 0.28, kb_relative_information_score: 154.9389, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7321, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.897, scimark_benchmark: 1362.3828, usercpu_time_millis: 5.459, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 5.053,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7461, kappa: 0.3717, kb_relative_information_score: 189.8362, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7524, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8792, scimark_benchmark: 1345.0631, usercpu_time_millis: 8.806, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 7.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.5903, kappa: 0.0278, kb_relative_information_score: 92.1833, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.793, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9286, scimark_benchmark: 1344.6747, usercpu_time_millis: 3.924, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 3.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7572, kappa: 0.4013, kb_relative_information_score: 204.2173, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7605, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8744, scimark_benchmark: 1360.4028, usercpu_time_millis: 10.611, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 9.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6154, kappa: 0.0779, kb_relative_information_score: 109.7424, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7686, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9171, scimark_benchmark: 1352.4223, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 4.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.747, kappa: 0.375, kb_relative_information_score: 185.4399, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8945, scimark_benchmark: 1355.4085, usercpu_time_millis: 3.506, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 3.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.0741, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1347.5687, usercpu_time_millis: 2.069, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7539, kappa: 0.3985, kb_relative_information_score: 216.1649, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.752, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8785, scimark_benchmark: 1352.374, usercpu_time_millis: 12.659, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 11.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7163, kappa: 0.2956, kb_relative_information_score: 163.161, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7279, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8975, scimark_benchmark: 1359.1583, usercpu_time_millis: 7.164, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 6.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7466, kappa: 0.375, kb_relative_information_score: 210.7174, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7487, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8812, scimark_benchmark: 1343.2485, usercpu_time_millis: 12.462, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 11.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5788, kappa: 0.0047, kb_relative_information_score: 83.4179, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7905, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9349, scimark_benchmark: 1350.9067, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7269, kappa: 0.3222, kb_relative_information_score: 178.0783, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7384, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.884, scimark_benchmark: 1351.5832, usercpu_time_millis: 7.092, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 6.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7372, kappa: 0.3486, kb_relative_information_score: 177.4929, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7453, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8811, scimark_benchmark: 1359.1635, usercpu_time_millis: 5.939, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 5.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -1.2006, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1356.1567, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7539, kappa: 0.4024, kb_relative_information_score: 232.187, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7513, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8933, scimark_benchmark: 1361.3659, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7427, kappa: 0.3621, kb_relative_information_score: 193.4312, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7533, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8763, scimark_benchmark: 1349.1442, usercpu_time_millis: 5.205, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 4.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.739, kappa: 0.3534, kb_relative_information_score: 196.8458, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7464, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8751, scimark_benchmark: 1368.3453, usercpu_time_millis: 14.188, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 12.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7336, kappa: 0.341, kb_relative_information_score: 179.4983, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7375, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8935, scimark_benchmark: 1339.1837, usercpu_time_millis: 6.211, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 5.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7221, kappa: 0.3095, kb_relative_information_score: 163.0905, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7448, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8898, scimark_benchmark: 1363.2933, usercpu_time_millis: 7.016, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 6.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.6205, kappa: 0.0871, kb_relative_information_score: 115.124, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7517, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9139, scimark_benchmark: 1360.6709, usercpu_time_millis: 5.576, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 4.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7377, kappa: 0.3501, kb_relative_information_score: 184.7763, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8825, scimark_benchmark: 1364.0171, usercpu_time_millis: 4.106, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2881, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1362.9556, usercpu_time_millis: 2.208, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7477, kappa: 0.375, kb_relative_information_score: 187.6477, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7566, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8792, scimark_benchmark: 1360.1445, usercpu_time_millis: 1.201, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7517, kappa: 0.3911, kb_relative_information_score: 210.3181, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8821, scimark_benchmark: 1361.5144, usercpu_time_millis: 12.537, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 12.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7329, kappa: 0.3416, kb_relative_information_score: 203.9467, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7334, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8987, scimark_benchmark: 1361.3055, usercpu_time_millis: 13.599, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 13.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.685, kappa: 0.2195, kb_relative_information_score: 134.3931, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7192, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.9058, scimark_benchmark: 1357.3682, usercpu_time_millis: 3.837, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 3.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.5765, kb_relative_information_score: 75.3412, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9352, scimark_benchmark: 1336.9283, usercpu_time_millis: 1.516, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.5765, kb_relative_information_score: 83.7298, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.933, scimark_benchmark: 1361.8418, usercpu_time_millis: 1.789, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7044, kappa: 0.2661, kb_relative_information_score: 143.6118, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7311, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.904, scimark_benchmark: 1369.9733, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5765, kb_relative_information_score: 76.8203, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9398, scimark_benchmark: 1369.869, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.6854, kappa: 0.2252, kb_relative_information_score: 141.2254, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.755, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8978, scimark_benchmark: 1361.3228, usercpu_time_millis: 1.528, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7603, kappa: 0.4112, kb_relative_information_score: 219.2813, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7608, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.879, scimark_benchmark: 1679.9972, usercpu_time_millis: 8.61, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 7.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7466, kappa: 0.3896, kb_relative_information_score: 244.3352, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9341, scimark_benchmark: 1387.5096, usercpu_time_millis: 34.47, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 32.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3964, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1534.915, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.53,

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