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Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 146066 Supervised Classification monks-problems-3 32406 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8877, kappa: 0.775, kb_relative_information_score: 262.7258, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8907, predictive_accuracy: 0.8881, prior_entropy: 0.9989, recall: 0.8881, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6733, scimark_benchmark: 1982.2408, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9277, kappa: 0.8551, kb_relative_information_score: 252.532, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9288, predictive_accuracy: 0.9278, prior_entropy: 0.9989, recall: 0.9278, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6589, scimark_benchmark: 1986.9055, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7219, kappa: 0.4452, kb_relative_information_score: 210.3428, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.725, predictive_accuracy: 0.722, prior_entropy: 0.9989, recall: 0.722, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9375, scimark_benchmark: 1875.5079, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7219, kappa: 0.4452, kb_relative_information_score: 210.3428, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.725, predictive_accuracy: 0.722, prior_entropy: 0.9989, recall: 0.722, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9375, scimark_benchmark: 1831.3466, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7908, kappa: 0.5818, kb_relative_information_score: 217.3903, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7972, predictive_accuracy: 0.7924, prior_entropy: 0.9989, recall: 0.7924, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.793, scimark_benchmark: 1988.674, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 258.2551, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6507, scimark_benchmark: 1757.7298, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7274, kappa: 0.4558, kb_relative_information_score: 205.5405, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7299, predictive_accuracy: 0.7274, prior_entropy: 0.9989, recall: 0.7274, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.91, scimark_benchmark: 1862.6595, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9095, kappa: 0.8187, kb_relative_information_score: 276.2771, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9113, predictive_accuracy: 0.9097, prior_entropy: 0.9989, recall: 0.9097, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6392, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1834.9046, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 265.5778, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6408, scimark_benchmark: 1833.0347, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 275.8729, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6293, scimark_benchmark: 1830.9822, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.7111, kappa: 0.4235, kb_relative_information_score: 233.2715, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7138, predictive_accuracy: 0.7112, prior_entropy: 0.9989, recall: 0.7112, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0757, scimark_benchmark: 1839.0346, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 270.4774, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6354, scimark_benchmark: 1831.0383, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7623, kappa: 0.5264, kb_relative_information_score: 212.8767, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7734, predictive_accuracy: 0.7653, prior_entropy: 0.9989, recall: 0.7653, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.82, scimark_benchmark: 1836.3486, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 277.9081, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6284, scimark_benchmark: 1834.7591, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 265.5778, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6408, scimark_benchmark: 1830.5712, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7384, kappa: 0.4768, kb_relative_information_score: 241.9661, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7395, predictive_accuracy: 0.7383, prior_entropy: 0.9989, recall: 0.7383, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9567, scimark_benchmark: 1832.3617, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.807, kappa: 0.6144, kb_relative_information_score: 223.8061, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8148, predictive_accuracy: 0.8087, prior_entropy: 0.9989, recall: 0.8087, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7686, scimark_benchmark: 1831.0383, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7908, kappa: 0.5818, kb_relative_information_score: 217.3903, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7972, predictive_accuracy: 0.7924, prior_entropy: 0.9989, recall: 0.7924, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.793, scimark_benchmark: 2173.1473, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9095, kappa: 0.8187, kb_relative_information_score: 276.2771, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9113, predictive_accuracy: 0.9097, prior_entropy: 0.9989, recall: 0.9097, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6392, scimark_benchmark: 1829.8802, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9113, kappa: 0.8223, kb_relative_information_score: 273.3287, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9137, predictive_accuracy: 0.9116, prior_entropy: 0.9989, recall: 0.9116, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6471, scimark_benchmark: 1986.9624, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 268.1022, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.638, scimark_benchmark: 1830.2844, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 255.7924, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6543, scimark_benchmark: 1826.8533, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.807, kappa: 0.6144, kb_relative_information_score: 223.8061, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8148, predictive_accuracy: 0.8087, prior_entropy: 0.9989, recall: 0.8087, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7686, scimark_benchmark: 1823.0765, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 277.9081, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6284, scimark_benchmark: 1978.8226, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8877, kappa: 0.775, kb_relative_information_score: 262.7258, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8907, predictive_accuracy: 0.8881, prior_entropy: 0.9989, recall: 0.8881, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6733, scimark_benchmark: 1984.1483, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7908, kappa: 0.5818, kb_relative_information_score: 217.3903, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7972, predictive_accuracy: 0.7924, prior_entropy: 0.9989, recall: 0.7924, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.793, scimark_benchmark: 1975.9843, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1873.9908, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8284, kappa: 0.6578, kb_relative_information_score: 244.4023, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8395, predictive_accuracy: 0.8303, prior_entropy: 0.9989, recall: 0.8303, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7165, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9277, kappa: 0.8551, kb_relative_information_score: 252.532, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9288, predictive_accuracy: 0.9278, prior_entropy: 0.9989, recall: 0.9278, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6589, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 268.1022, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.638, scimark_benchmark: 1873.9387, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9277, kappa: 0.8551, kb_relative_information_score: 252.532, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9288, predictive_accuracy: 0.9278, prior_entropy: 0.9989, recall: 0.9278, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6589, scimark_benchmark: 1881.8845, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1876.23, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1870.2323, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 265.5778, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6408, scimark_benchmark: 1832.5264, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.12,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 277.9081, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6284, scimark_benchmark: 1870.742, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8053, kappa: 0.6109, kb_relative_information_score: 232.6843, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.812, predictive_accuracy: 0.8069, prior_entropy: 0.9989, recall: 0.8069, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.743, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 274.1504, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6308, scimark_benchmark: 1830.8384, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7384, kappa: 0.4768, kb_relative_information_score: 241.9661, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7395, predictive_accuracy: 0.7383, prior_entropy: 0.9989, recall: 0.7383, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9567, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9095, kappa: 0.8187, kb_relative_information_score: 276.2771, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9113, predictive_accuracy: 0.9097, prior_entropy: 0.9989, recall: 0.9097, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6392, scimark_benchmark: 1870.7758, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7219, kappa: 0.4452, kb_relative_information_score: 210.3428, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.725, predictive_accuracy: 0.722, prior_entropy: 0.9989, recall: 0.722, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9375, scimark_benchmark: 1872.1262, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7623, kappa: 0.5264, kb_relative_information_score: 212.8767, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7734, predictive_accuracy: 0.7653, prior_entropy: 0.9989, recall: 0.7653, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.82, scimark_benchmark: 2110.2631, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 274.1504, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6308, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 258.2551, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6507, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1866.4162, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 270.4774, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6354, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1877.289, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 270.4774, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6354, scimark_benchmark: 1852.9784, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9095, kappa: 0.8187, kb_relative_information_score: 276.2771, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9113, predictive_accuracy: 0.9097, prior_entropy: 0.9989, recall: 0.9097, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6392, scimark_benchmark: 1876.23, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 261.5383, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6463, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9095, kappa: 0.8187, kb_relative_information_score: 276.2771, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9113, predictive_accuracy: 0.9097, prior_entropy: 0.9989, recall: 0.9097, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6392, scimark_benchmark: 1870.742, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7623, kappa: 0.5264, kb_relative_information_score: 212.8767, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7734, predictive_accuracy: 0.7653, prior_entropy: 0.9989, recall: 0.7653, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.82, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9277, kappa: 0.8551, kb_relative_information_score: 252.532, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9288, predictive_accuracy: 0.9278, prior_entropy: 0.9989, recall: 0.9278, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6589, scimark_benchmark: 1871.3129, usercpu_time_millis: 0.236, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8053, kappa: 0.6109, kb_relative_information_score: 232.6843, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.812, predictive_accuracy: 0.8069, prior_entropy: 0.9989, recall: 0.8069, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.743, scimark_benchmark: 1990.7697, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7908, kappa: 0.5818, kb_relative_information_score: 217.3903, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7972, predictive_accuracy: 0.7924, prior_entropy: 0.9989, recall: 0.7924, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.793, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 261.5383, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6463, scimark_benchmark: 1853.4806, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7384, kappa: 0.4768, kb_relative_information_score: 241.9661, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7395, predictive_accuracy: 0.7383, prior_entropy: 0.9989, recall: 0.7383, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9567, scimark_benchmark: 1991.8154, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8877, kappa: 0.775, kb_relative_information_score: 262.7258, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8907, predictive_accuracy: 0.8881, prior_entropy: 0.9989, recall: 0.8881, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6733, scimark_benchmark: 1996.1826, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8053, kappa: 0.6109, kb_relative_information_score: 232.6843, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.812, predictive_accuracy: 0.8069, prior_entropy: 0.9989, recall: 0.8069, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.743, scimark_benchmark: 1987.0301, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 268.1022, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.638, scimark_benchmark: 1873.9908, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1843.0744, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8374, kappa: 0.6758, kb_relative_information_score: 252.6742, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8502, predictive_accuracy: 0.8394, prior_entropy: 0.9989, recall: 0.8394, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6949, scimark_benchmark: 1870.742, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8284, kappa: 0.6578, kb_relative_information_score: 244.4023, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8395, predictive_accuracy: 0.8303, prior_entropy: 0.9989, recall: 0.8303, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7165, scimark_benchmark: 1874.977, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7219, kappa: 0.4452, kb_relative_information_score: 210.3428, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.725, predictive_accuracy: 0.722, prior_entropy: 0.9989, recall: 0.722, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9375, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 258.2551, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6507, scimark_benchmark: 1871.668, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.904, kappa: 0.8077, kb_relative_information_score: 269.3075, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9068, predictive_accuracy: 0.9043, prior_entropy: 0.9989, recall: 0.9043, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6577, scimark_benchmark: 1844.4626, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8284, kappa: 0.6578, kb_relative_information_score: 244.4023, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8395, predictive_accuracy: 0.8303, prior_entropy: 0.9989, recall: 0.8303, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7165, scimark_benchmark: 1829.8951, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1828.834, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.124,

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