OpenML
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: 0.829, f_measure: 0.7514, kappa: 0.4407, kb_relative_information_score: 181.7551, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7581, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8504, scimark_benchmark: 1292.5568, usercpu_time_millis: 8.72, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 7.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 217.0737, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8324, scimark_benchmark: 1284.2551, usercpu_time_millis: 24.988, usercpu_time_millis_testing: 2.312, usercpu_time_millis_training: 22.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: -0.0186, 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: 1288.1808, usercpu_time_millis: 4.14, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 3.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7691, kappa: 0.4865, kb_relative_information_score: 251.2938, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1287.591, usercpu_time_millis: 31.596, usercpu_time_millis_testing: 2.35, usercpu_time_millis_training: 29.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7492, kappa: 0.4348, kb_relative_information_score: 159.9599, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8642, scimark_benchmark: 1291.234, usercpu_time_millis: 8.112, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 7.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7731, kappa: 0.4938, kb_relative_information_score: 248.7289, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7727, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8305, scimark_benchmark: 1293.319, usercpu_time_millis: 28.128, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 25.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 253.0802, mean_absolute_error: 0.3093, 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: 0.6805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8324, scimark_benchmark: 1291.1457, usercpu_time_millis: 46.291, usercpu_time_millis_testing: 3.557, usercpu_time_millis_training: 42.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7577, kappa: 0.4574, kb_relative_information_score: 236.3453, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1289.148, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 6.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7601, kappa: 0.4638, kb_relative_information_score: 211.1317, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1291.079, usercpu_time_millis: 38.971, usercpu_time_millis_testing: 5.054, usercpu_time_millis_training: 33.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0381, 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: 1288.7787, usercpu_time_millis: 2.449, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 260.2531, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1296.2906, usercpu_time_millis: 36.556, usercpu_time_millis_testing: 2.899, usercpu_time_millis_training: 33.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7553, kappa: 0.459, kb_relative_information_score: 263.6993, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8498, scimark_benchmark: 1292.4051, usercpu_time_millis: 14.699, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 13.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7715, kappa: 0.4915, kb_relative_information_score: 252.1943, mean_absolute_error: 0.3103, 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: 0.6828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1287.9154, usercpu_time_millis: 10.682, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 9.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7707, kappa: 0.4887, kb_relative_information_score: 247.116, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7701, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8226, scimark_benchmark: 1289.4219, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7666, kappa: 0.4782, kb_relative_information_score: 227.2636, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7669, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1289.0466, usercpu_time_millis: 4.129, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 3.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7245, kappa: 0.3794, kb_relative_information_score: 129.4983, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7447, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8897, scimark_benchmark: 1288.3015, usercpu_time_millis: 9.823, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 8.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 212.4623, mean_absolute_error: 0.3359, 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: 0.739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8447, scimark_benchmark: 1289.9805, usercpu_time_millis: 9.438, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 8.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7717, kappa: 0.4944, kb_relative_information_score: 259.7102, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7707, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8376, scimark_benchmark: 1300.4469, usercpu_time_millis: 42.649, usercpu_time_millis_testing: 2.868, usercpu_time_millis_training: 39.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 262.0497, mean_absolute_error: 0.3026, 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: 0.6658, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8307, scimark_benchmark: 1293.6586, usercpu_time_millis: 28.641, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 26.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1292, 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: 1293.3195, usercpu_time_millis: 2.498, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7691, kappa: 0.4865, kb_relative_information_score: 254.6535, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1293.1538, usercpu_time_millis: 9.268, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 8.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 238.0094, mean_absolute_error: 0.3207, 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: 0.7055, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1285.5133, usercpu_time_millis: 9.301, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 8.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 248.2472, mean_absolute_error: 0.3133, 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: 0.6893, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1289.865, usercpu_time_millis: 43.793, usercpu_time_millis_testing: 3.868, usercpu_time_millis_training: 39.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 248.8091, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8297, scimark_benchmark: 1290.3504, usercpu_time_millis: 5.721, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 5.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.76, kappa: 0.4624, kb_relative_information_score: 206.5482, mean_absolute_error: 0.3401, 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: 0.7483, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8424, scimark_benchmark: 1277.7827, usercpu_time_millis: 13.9, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 12.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0113, 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: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1288.3602, usercpu_time_millis: 3.52, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 2.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7188, kappa: 0.3663, kb_relative_information_score: 133.4706, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7302, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8931, scimark_benchmark: 1291.8143, usercpu_time_millis: 7.252, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 6.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.6223, kappa: 0.1787, kb_relative_information_score: 97.627, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7275, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9104, scimark_benchmark: 1294.7139, usercpu_time_millis: 1.312, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 227.7365, mean_absolute_error: 0.328, 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: 0.7217, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8303, scimark_benchmark: 1284.9882, usercpu_time_millis: 2.785, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 259.4644, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1291.3697, usercpu_time_millis: 44.231, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 41.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7739, kappa: 0.4984, kb_relative_information_score: 255.5844, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7729, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1292.8862, usercpu_time_millis: 39.366, usercpu_time_millis_testing: 2.476, usercpu_time_millis_training: 36.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 253.2358, mean_absolute_error: 0.309, 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: 0.6799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8282, scimark_benchmark: 1283.6146, usercpu_time_millis: 29.97, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 27.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 239.2021, mean_absolute_error: 0.3199, 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: 0.7038, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8277, scimark_benchmark: 1289.5585, usercpu_time_millis: 11.224, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 10.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7669, kappa: 0.4779, kb_relative_information_score: 236.4183, mean_absolute_error: 0.322, 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: 0.7085, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1287.0343, usercpu_time_millis: 8.861, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 8.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7588, kappa: 0.458, kb_relative_information_score: 196.4798, mean_absolute_error: 0.3467, 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: 0.7628, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8436, scimark_benchmark: 1272.3452, usercpu_time_millis: 15.834, usercpu_time_millis_testing: 1.984, usercpu_time_millis_training: 13.85,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7708, kappa: 0.4908, kb_relative_information_score: 258.623, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1286.2449, usercpu_time_millis: 40.64, usercpu_time_millis_testing: 3.48, usercpu_time_millis_training: 37.16,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7729, kappa: 0.4949, kb_relative_information_score: 244.2533, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.772, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8351, scimark_benchmark: 1290.9005, usercpu_time_millis: 48.99, usercpu_time_millis_testing: 4.76, usercpu_time_millis_training: 44.23,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 263.3653, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.844, scimark_benchmark: 1286.8708, usercpu_time_millis: 23.639, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 22.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 256.1868, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1267.514, usercpu_time_millis: 56.409, usercpu_time_millis_testing: 3.325, usercpu_time_millis_training: 53.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7281, kappa: 0.3874, kb_relative_information_score: 147.9199, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7391, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 1289.7101, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 256.3164, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8324, scimark_benchmark: 1294.8945, usercpu_time_millis: 44.84, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 40.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7114, kappa: 0.3509, kb_relative_information_score: 134.6041, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7137, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9041, scimark_benchmark: 1289.4806, usercpu_time_millis: 2.644, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 2.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1167, 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: 1285.2487, usercpu_time_millis: 2.671, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7676, kappa: 0.4831, kb_relative_information_score: 253.4929, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8345, scimark_benchmark: 1279.2972, usercpu_time_millis: 34.913, usercpu_time_millis_testing: 2.15, usercpu_time_millis_training: 32.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 244.1397, mean_absolute_error: 0.3155, 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: 0.6943, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1282.0679, usercpu_time_millis: 41.251, usercpu_time_millis_testing: 4.282, usercpu_time_millis_training: 36.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7672, kappa: 0.4834, kb_relative_information_score: 257.1849, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8377, scimark_benchmark: 1295.5158, usercpu_time_millis: 46.915, usercpu_time_millis_testing: 2.431, usercpu_time_millis_training: 44.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7608, kappa: 0.4693, kb_relative_information_score: 265.2508, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, scimark_benchmark: 1291.4314, usercpu_time_millis: 1.107, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.763, kappa: 0.472, kb_relative_information_score: 255.9175, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7621, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1288.555, usercpu_time_millis: 34.385, usercpu_time_millis_testing: 2.811, usercpu_time_millis_training: 31.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 240.9173, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8282, scimark_benchmark: 1283.902, usercpu_time_millis: 29.954, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 28.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7353, kappa: 0.4037, kb_relative_information_score: 140.2665, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8768, scimark_benchmark: 1282.987, usercpu_time_millis: 8.961, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 7.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 255.606, mean_absolute_error: 0.3083, 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: 0.6784, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8259, scimark_benchmark: 1268.636, usercpu_time_millis: 39.106, usercpu_time_millis_testing: 3.083, usercpu_time_millis_training: 36.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7571, kappa: 0.4568, kb_relative_information_score: 232.9125, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.842, scimark_benchmark: 1287.7447, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7693, kappa: 0.4895, kb_relative_information_score: 260.1062, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 1250.8686, usercpu_time_millis: 37.841, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 34.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7696, kappa: 0.4883, kb_relative_information_score: 260.3926, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8361, scimark_benchmark: 1274.9755, usercpu_time_millis: 47.543, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 43.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 252.6886, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8324, scimark_benchmark: 1284.2641, usercpu_time_millis: 54.669, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 50.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7379, kappa: 0.4094, kb_relative_information_score: 151.331, mean_absolute_error: 0.3738, 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: 0.8226, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8688, scimark_benchmark: 1297.9887, usercpu_time_millis: 12.661, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 11.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7503, kappa: 0.4387, kb_relative_information_score: 200.2941, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7545, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.841, scimark_benchmark: 1293.6506, usercpu_time_millis: 3.372, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 3.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7327, kappa: 0.402, kb_relative_information_score: 160.8488, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7321, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8747, scimark_benchmark: 1291.8807, usercpu_time_millis: 11.366, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 9.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.0409, 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: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1288.4725, usercpu_time_millis: 0.841, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 254.0056, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 1281.3096, usercpu_time_millis: 44.629, usercpu_time_millis_testing: 2.66, usercpu_time_millis_training: 41.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 225.0576, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.833, scimark_benchmark: 1295.6504, usercpu_time_millis: 9.565, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 8.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7364, kappa: 0.4112, kb_relative_information_score: 182.9881, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7354, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8652, scimark_benchmark: 1282.9021, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 3.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 241.4534, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1298.7027, usercpu_time_millis: 10.738, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 9.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7382, kappa: 0.411, kb_relative_information_score: 180.1362, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7431, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8545, scimark_benchmark: 1290.6409, usercpu_time_millis: 5.837, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 5.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7615, kappa: 0.4659, kb_relative_information_score: 238.4505, mean_absolute_error: 0.3207, 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: 0.7057, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1291.4678, usercpu_time_millis: 10.709, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 9.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.723, kappa: 0.3767, kb_relative_information_score: 148.9495, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7269, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8972, scimark_benchmark: 1286.2876, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7538, kappa: 0.4489, kb_relative_information_score: 211.173, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8439, scimark_benchmark: 1287.294, usercpu_time_millis: 17.621, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 15.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7344, kappa: 0.4019, kb_relative_information_score: 165.794, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7425, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8597, scimark_benchmark: 1261.8125, usercpu_time_millis: 7.883, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 6.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 258.5874, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 1270.1434, usercpu_time_millis: 49.32, usercpu_time_millis_testing: 3.614, usercpu_time_millis_training: 45.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6578, kappa: 0.2454, kb_relative_information_score: 107.6043, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7395, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9023, scimark_benchmark: 1281.8357, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.597,

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