Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 254.2641, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1288.1505, usercpu_time_millis: 20.103, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 18.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7428, kappa: 0.4212, kb_relative_information_score: 172.9839, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7494, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.86, scimark_benchmark: 1285.2273, usercpu_time_millis: 8.235, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 7.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7555, kappa: 0.4519, kb_relative_information_score: 206.3562, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8452, scimark_benchmark: 1298.4487, usercpu_time_millis: 5.399, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 4.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7591, kappa: 0.4608, kb_relative_information_score: 233.4345, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1293.5504, usercpu_time_millis: 5.373, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 4.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 233.882, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1292.695, usercpu_time_millis: 9.54, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 8.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7445, kappa: 0.4242, kb_relative_information_score: 160.2133, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8624, scimark_benchmark: 1277.0847, usercpu_time_millis: 1.751, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.5076, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1282.3008, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7525, kappa: 0.4443, kb_relative_information_score: 209.1804, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1288.4004, usercpu_time_millis: 12.492, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 11.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0673, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1295.3807, usercpu_time_millis: 4.315, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 3.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7692, kappa: 0.4853, kb_relative_information_score: 248.1161, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1281.5959, usercpu_time_millis: 42.012, usercpu_time_millis_testing: 2.915, usercpu_time_millis_training: 39.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 257.5975, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1283.592, usercpu_time_millis: 34.48, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 32.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0771, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1292.2062, usercpu_time_millis: 5.542, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 4.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7521, kappa: 0.4459, kb_relative_information_score: 239.0129, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7518, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8269, scimark_benchmark: 1292.8743, usercpu_time_millis: 22.535, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 20.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 232.5664, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1288.1593, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7699, kappa: 0.4848, kb_relative_information_score: 230.5548, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, scimark_benchmark: 1280.0113, usercpu_time_millis: 29.334, usercpu_time_millis_testing: 3.188, usercpu_time_millis_training: 26.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7669, kappa: 0.4779, kb_relative_information_score: 233.4396, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1297.0331, usercpu_time_millis: 5.372, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 4.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7245, kappa: 0.3804, kb_relative_information_score: 145.7772, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7284, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8828, scimark_benchmark: 1280.3532, usercpu_time_millis: 7.407, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 6.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5134, kb_relative_information_score: -0.058, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1290.9637, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7535, kappa: 0.4479, kb_relative_information_score: 238.4799, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1291.3738, usercpu_time_millis: 12.66, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 11.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 257.0453, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8577, scimark_benchmark: 1293.4075, usercpu_time_millis: 3.618, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 3.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.6661, kappa: 0.2611, kb_relative_information_score: 102.0634, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7396, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9073, scimark_benchmark: 1287.3077, usercpu_time_millis: 6.645, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 5.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 254.4598, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8299, scimark_benchmark: 1293.0074, usercpu_time_millis: 11.29, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 10.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7434, kappa: 0.4219, kb_relative_information_score: 163.2817, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7536, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8621, scimark_benchmark: 1292.7387, usercpu_time_millis: 8.5, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 7.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7588, kappa: 0.458, kb_relative_information_score: 199.913, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8415, scimark_benchmark: 1285.2199, usercpu_time_millis: 17.559, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 15.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 246.1511, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1286.6699, usercpu_time_millis: 37.793, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 34.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 248.3424, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1294.9717, usercpu_time_millis: 9.513, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 8.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 252.7443, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1286.4558, usercpu_time_millis: 48.402, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 44.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 250.7944, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8273, scimark_benchmark: 1285.5258, usercpu_time_millis: 31.93, usercpu_time_millis_testing: 2.015, usercpu_time_millis_training: 29.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.2025, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1296.0995, usercpu_time_millis: 1.388, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0865, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1291.6845, usercpu_time_millis: 3.776, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 3.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 237.1998, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1301.5659, usercpu_time_millis: 27.345, usercpu_time_millis_testing: 2.707, usercpu_time_millis_training: 24.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 253.6945, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8269, scimark_benchmark: 1278.9568, usercpu_time_millis: 38.222, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 34.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7621, kappa: 0.4678, kb_relative_information_score: 240.2028, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1290.7647, usercpu_time_millis: 16.753, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 15.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7492, kappa: 0.4405, kb_relative_information_score: 240.2044, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7482, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1289.1973, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1222, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1288.945, usercpu_time_millis: 4.718, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 4.061,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 252.1772, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8276, scimark_benchmark: 1292.1399, usercpu_time_millis: 31.408, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 29.281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7715, kappa: 0.4915, kb_relative_information_score: 253.5324, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7706, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8341, scimark_benchmark: 1294.08, usercpu_time_millis: 38.778, usercpu_time_millis_testing: 2.344, usercpu_time_millis_training: 36.434,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7522, kappa: 0.4433, kb_relative_information_score: 190.3765, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8468, scimark_benchmark: 1287.7602, usercpu_time_millis: 8.816, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 7.865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.758, kappa: 0.4611, kb_relative_information_score: 255.7217, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7569, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1283.0421, usercpu_time_millis: 59.631, usercpu_time_millis_testing: 3.436, usercpu_time_millis_training: 56.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7379, kappa: 0.4094, kb_relative_information_score: 146.9071, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.872, scimark_benchmark: 1291.676, usercpu_time_millis: 9.428, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 8.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7693, kappa: 0.4874, kb_relative_information_score: 255.4846, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1290.7581, usercpu_time_millis: 30.444, usercpu_time_millis_testing: 2.506, usercpu_time_millis_training: 27.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.218, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1269.7781, usercpu_time_millis: 1.427, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7386, kappa: 0.4121, kb_relative_information_score: 165.3114, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.743, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8667, scimark_benchmark: 1286.1192, usercpu_time_millis: 6.182, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 5.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 253.3532, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1286.4398, usercpu_time_millis: 7.761, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 7.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7695, kappa: 0.4863, kb_relative_information_score: 237.3849, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1295.1701, usercpu_time_millis: 15.368, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 13.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1385, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1291.2307, usercpu_time_millis: 4.393, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 3.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0934, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1286.8296, usercpu_time_millis: 8.103, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 6.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 243.0912, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1285.1218, usercpu_time_millis: 34.264, usercpu_time_millis_testing: 3.185, usercpu_time_millis_training: 31.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 252.0133, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8257, scimark_benchmark: 1292.2249, usercpu_time_millis: 34.543, usercpu_time_millis_testing: 3.127, usercpu_time_millis_training: 31.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7553, kappa: 0.4552, kb_relative_information_score: 248.8844, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8261, scimark_benchmark: 1283.0069, usercpu_time_millis: 24.124, usercpu_time_millis_testing: 1.768, usercpu_time_millis_training: 22.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.76, kappa: 0.4624, kb_relative_information_score: 227.4334, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8334, scimark_benchmark: 1294.8032, usercpu_time_millis: 25.903, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 23.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5134, kb_relative_information_score: 0.1726, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1282.5469, usercpu_time_millis: 4.016, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 3.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0846, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1292.9027, usercpu_time_millis: 6.231, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 5.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 213.7179, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8347, scimark_benchmark: 1298.0503, usercpu_time_millis: 10.42, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 9.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -1.1566, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1286.5285, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 217.6518, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1288.6864, usercpu_time_millis: 10.087, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 8.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 256.4394, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1297.0729, usercpu_time_millis: 60.577, usercpu_time_millis_testing: 3.043, usercpu_time_millis_training: 57.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 257.0982, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1291.9739, usercpu_time_millis: 18.717, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 17.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7551, kappa: 0.4509, kb_relative_information_score: 211.1297, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8374, scimark_benchmark: 1293.3104, usercpu_time_millis: 1.606, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 252.2749, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1273.3631, usercpu_time_millis: 43.445, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 41.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7721, kappa: 0.4922, kb_relative_information_score: 234.4185, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7715, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 1279.0417, usercpu_time_millis: 38.414, usercpu_time_millis_testing: 4.019, usercpu_time_millis_training: 34.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7583, kappa: 0.4593, kb_relative_information_score: 238.3532, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1293.5413, usercpu_time_millis: 24.779, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 23.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.5884, kappa: 0.1172, kb_relative_information_score: 87.7091, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7069, predictive_accuracy: 0.6784, prior_entropy: 0.9335, recall: 0.6784, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9188, scimark_benchmark: 1293.0624, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7605, kappa: 0.4629, kb_relative_information_score: 205.3711, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413, scimark_benchmark: 1285.1569, usercpu_time_millis: 28.297, usercpu_time_millis_testing: 3.413, usercpu_time_millis_training: 24.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 246.4123, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8239, scimark_benchmark: 1294.4419, usercpu_time_millis: 9.255, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 8.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 234.827, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1291.4528, usercpu_time_millis: 22.892, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 20.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7648, kappa: 0.4738, kb_relative_information_score: 238.2909, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1286.1869, usercpu_time_millis: 16.048, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 14.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 207.4726, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1292.6668, usercpu_time_millis: 15.475, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 13.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7523, kappa: 0.4454, kb_relative_information_score: 239.7733, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, scimark_benchmark: 1281.9247, usercpu_time_millis: 2.363, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 2.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7523, kappa: 0.4454, kb_relative_information_score: 238.3693, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8284, scimark_benchmark: 1280.717, usercpu_time_millis: 14.506, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 13.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7667, kappa: 0.4816, kb_relative_information_score: 255.4842, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833, scimark_benchmark: 1277.1845, usercpu_time_millis: 16.789, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 15.834,

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