OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 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: 0.5, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 252.5749, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1821.8751, usercpu_time_millis: 11.244, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 9.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7447, kappa: 0.4252, kb_relative_information_score: 171.6009, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8548, scimark_benchmark: 1830.8384, usercpu_time_millis: 3.105, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.713, kappa: 0.3674, kb_relative_information_score: 241.6316, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7126, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9175, scimark_benchmark: 1862.8534, usercpu_time_millis: 6.64, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 6.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7703, kappa: 0.491, kb_relative_information_score: 245.4882, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7693, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8376, scimark_benchmark: 1870.9768, usercpu_time_millis: 0.424, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7596, kappa: 0.469, kb_relative_information_score: 252.8734, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7589, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8453, scimark_benchmark: 1865.6428, usercpu_time_millis: 12.186, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 10.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 251.386, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8322, scimark_benchmark: 1835.1772, usercpu_time_millis: 8.391, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 7.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7405, kappa: 0.4182, kb_relative_information_score: 185.5165, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8559, scimark_benchmark: 1852.8492, usercpu_time_millis: 0.133, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7194, kappa: 0.368, kb_relative_information_score: 141.3687, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7405, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8767, scimark_benchmark: 787.8104, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7645, kappa: 0.4728, kb_relative_information_score: 195.0125, mean_absolute_error: 0.347, 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: 0.7634, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.846, scimark_benchmark: 1873.0711, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.0792, 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: 1859.7394, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 227.6707, mean_absolute_error: 0.3267, 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: 0.7187, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7577, kappa: 0.4602, kb_relative_information_score: 242.26, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1865.1205, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 243.8662, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1866.2224, usercpu_time_millis: 7.033, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 6.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7511, kappa: 0.4429, kb_relative_information_score: 193.3031, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8538, scimark_benchmark: 1854.9561, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7429, kappa: 0.4209, kb_relative_information_score: 157.9866, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7539, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8634, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7634, kappa: 0.4772, kb_relative_information_score: 250.6195, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.838, scimark_benchmark: 1855.9275, usercpu_time_millis: 5.237, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 4.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7545, kappa: 0.4473, kb_relative_information_score: 167.5701, mean_absolute_error: 0.3657, 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: 0.8047, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8569, scimark_benchmark: 1873.5991, usercpu_time_millis: 2.097, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.0281, 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: 1868.2531, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7363, kappa: 0.4181, kb_relative_information_score: 253.0674, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7357, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874, scimark_benchmark: 1829.7167, usercpu_time_millis: 4.257, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.6993, kappa: 0.3268, kb_relative_information_score: 123.7958, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8876, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7529, kappa: 0.4518, kb_relative_information_score: 240.8925, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7516, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8416, scimark_benchmark: 1836.5254, usercpu_time_millis: 6.793, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 5.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7617, kappa: 0.4708, kb_relative_information_score: 247.4972, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1865.1205, usercpu_time_millis: 7.584, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 6.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.76, kappa: 0.4624, kb_relative_information_score: 218.0524, mean_absolute_error: 0.3333, 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: 0.7334, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8372, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7667, kappa: 0.4816, kb_relative_information_score: 229.7169, mean_absolute_error: 0.3256, 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: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1855.5328, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 249.336, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1849.2559, usercpu_time_millis: 13.651, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 12.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 200.0242, mean_absolute_error: 0.3436, 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: 0.7559, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8433, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.462, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7689, kappa: 0.4844, kb_relative_information_score: 243.1746, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8267, scimark_benchmark: 1850.3165, usercpu_time_millis: 5.289, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 4.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 227.2776, mean_absolute_error: 0.327, 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: 0.7196, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.366, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 2.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7657, kappa: 0.4766, kb_relative_information_score: 233.0738, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8269, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.657, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7633, kappa: 0.4703, kb_relative_information_score: 224.9747, mean_absolute_error: 0.3294, 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: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.087, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 2.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7579, kappa: 0.4625, kb_relative_information_score: 239.5376, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7566, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8387, scimark_benchmark: 1859.2172, usercpu_time_millis: 7.687, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 6.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.762, kappa: 0.4769, kb_relative_information_score: 260.1036, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7624, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8467, scimark_benchmark: 1782.3751, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 187.8903, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8454, scimark_benchmark: 1869.2422, usercpu_time_millis: 3.442, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 2.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 228.847, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8315, scimark_benchmark: 1863.9794, usercpu_time_millis: 4.069, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 3.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.76, kappa: 0.4687, kb_relative_information_score: 254.8984, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8505, scimark_benchmark: 1864.7294, usercpu_time_millis: 10.769, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 9.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 246.4483, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8324, scimark_benchmark: 788.4134, usercpu_time_millis: 5.341, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 5.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7645, kappa: 0.4741, kb_relative_information_score: 217.0814, mean_absolute_error: 0.3341, 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: 0.7352, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1780.5871, usercpu_time_millis: 1.884, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.595,

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