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: 0.7213, f_measure: 0.7642, kappa: 0.4702, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7412, kappa: 0.4168, kb_relative_information_score: 0.4483, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7583, predictive_accuracy: 0.7591, prior_entropy: 0.9331, recall: 0.7591, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.7534, kappa: 0.4453, kb_relative_information_score: 0.4602, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, predictive_accuracy: 0.7643, prior_entropy: 0.9331, recall: 0.7643, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7662, kappa: 0.4743, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7721, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6974, kappa: 0.3329, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6969, predictive_accuracy: 0.6979, prior_entropy: 0.9331, recall: 0.6979, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7634, kappa: 0.4686, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7721, prior_entropy: 0.9331, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 0.4334, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9331, recall: 0.7526, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7604, kappa: 0.4611, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7623, kappa: 0.4649, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7394, kappa: 0.4157, kb_relative_information_score: 0.4214, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9331, recall: 0.7474, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7394, kappa: 0.415, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7604, kappa: 0.4607, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7689, predictive_accuracy: 0.7721, prior_entropy: 0.9331, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.758, kappa: 0.4551, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7669, kappa: 0.4763, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6871, kappa: 0.3135, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6881, predictive_accuracy: 0.6862, prior_entropy: 0.9331, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7524, kappa: 0.4484, kb_relative_information_score: 0.4423, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7565, prior_entropy: 0.9331, recall: 0.7565, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, 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: 0.5036, f_measure: 0.5211, kappa: 0.0093, kb_relative_information_score: 0.2037, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6343, predictive_accuracy: 0.6523, prior_entropy: 0.9331, recall: 0.6523, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7535, kappa: 0.4447, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7667, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7651, kappa: 0.4714, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7729, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.7557, kappa: 0.4504, kb_relative_information_score: 0.4662, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7624, predictive_accuracy: 0.7669, prior_entropy: 0.9331, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7703, kappa: 0.4843, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7743, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.771, kappa: 0.4861, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.774, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7681, kappa: 0.4788, kb_relative_information_score: 0.49, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9331, recall: 0.7773, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, 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: 0.6524, f_measure: 0.71, kappa: 0.3506, kb_relative_information_score: 0.4125, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.7435, prior_entropy: 0.9331, recall: 0.7435, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5966, kappa: 0.1333, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7215, predictive_accuracy: 0.6836, prior_entropy: 0.9331, recall: 0.6836, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.751, kappa: 0.4396, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7583, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7599, kappa: 0.4606, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3434, f_measure: 0.402, kappa: -0.3109, kb_relative_information_score: -0.3749, mean_absolute_error: 0.6003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4043, predictive_accuracy: 0.3997, prior_entropy: 0.9331, recall: 0.3997, relative_absolute_error: 1.3207, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7748, root_relative_squared_error: 1.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4047, f_measure: 0.4582, kappa: -0.1898, kb_relative_information_score: -0.2436, mean_absolute_error: 0.543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4594, predictive_accuracy: 0.457, prior_entropy: 0.9331, recall: 0.457, relative_absolute_error: 1.1947, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7369, root_relative_squared_error: 1.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7657, kappa: 0.4737, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7702, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5128, kappa: -0.0026, kb_relative_information_score: 0.1977, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4236, predictive_accuracy: 0.6497, prior_entropy: 0.9331, recall: 0.6497, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5918, root_relative_squared_error: 1.2417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7519, kappa: 0.4411, kb_relative_information_score: 0.4662, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7669, prior_entropy: 0.9331, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6857, kappa: 0.3101, kb_relative_information_score: 0.2783, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6866, predictive_accuracy: 0.6849, prior_entropy: 0.9331, recall: 0.6849, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6522, kappa: 0.2342, kb_relative_information_score: 0.2037, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.652, predictive_accuracy: 0.6523, prior_entropy: 0.9331, recall: 0.6523, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5164, kappa: 0.0049, kb_relative_information_score: 0.2037, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7734, predictive_accuracy: 0.6523, prior_entropy: 0.9331, recall: 0.6523, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, 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: 0.7261, f_measure: 0.7693, kappa: 0.4814, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7748, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7696, kappa: 0.4824, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7746, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7693, kappa: 0.4814, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7748, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7669, kappa: 0.4763, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7782, kappa: 0.5066, kb_relative_information_score: 258.6292, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7774, predictive_accuracy: 0.7813, prior_entropy: 0.9335, recall: 0.7813, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1277.6487, usercpu_time_millis: 31.832, usercpu_time_millis_testing: 2.345, usercpu_time_millis_training: 29.487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7506, kappa: 0.4403, kb_relative_information_score: 201.8908, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 1292.5649, usercpu_time_millis: 5.476, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 4.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7275, kappa: 0.3883, kb_relative_information_score: 166.9772, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7285, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8717, scimark_benchmark: 1290.2207, usercpu_time_millis: 10.643, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 9.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7734, kappa: 0.4935, kb_relative_information_score: 230.0169, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7738, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1291.0274, usercpu_time_millis: 24.258, usercpu_time_millis_testing: 2.392, usercpu_time_millis_training: 21.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 252.0476, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8284, scimark_benchmark: 1287.213, usercpu_time_millis: 15.584, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 14.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0936, 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: 1291.2096, usercpu_time_millis: 3.821, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 3.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7603, kappa: 0.4615, kb_relative_information_score: 193.0595, mean_absolute_error: 0.3488, 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: 0.7675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8467, scimark_benchmark: 1283.0349, usercpu_time_millis: 4.399, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.744, kappa: 0.4231, kb_relative_information_score: 152.1557, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8679, scimark_benchmark: 1291.8816, usercpu_time_millis: 6.525, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 5.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1404, 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: 1291.0959, usercpu_time_millis: 1.217, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7401, kappa: 0.415, kb_relative_information_score: 167.5169, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7464, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8608, scimark_benchmark: 1289.4814, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7479, kappa: 0.4336, kb_relative_information_score: 181.5092, mean_absolute_error: 0.356, 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: 0.7832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8532, scimark_benchmark: 1289.5473, usercpu_time_millis: 12.58, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 11.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7502, kappa: 0.4459, kb_relative_information_score: 263.6485, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7489, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1294.9732, usercpu_time_millis: 42.674, usercpu_time_millis_testing: 2.406, usercpu_time_millis_training: 40.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 264.3508, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8382, scimark_benchmark: 1276.364, usercpu_time_millis: 54.454, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 51.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7543, kappa: 0.4494, kb_relative_information_score: 208.7027, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8459, scimark_benchmark: 1292.7978, usercpu_time_millis: 5.773, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 5.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7296, kappa: 0.391, kb_relative_information_score: 140.2276, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8773, scimark_benchmark: 1292.2341, usercpu_time_millis: 9.266, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 8.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.756, kappa: 0.4558, kb_relative_information_score: 247.2504, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7551, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8307, scimark_benchmark: 1291.7169, usercpu_time_millis: 5.437, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7479, kappa: 0.4436, kb_relative_information_score: 261.7721, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8595, scimark_benchmark: 1291.845, usercpu_time_millis: 5.269, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 4.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7133, kappa: 0.3578, kb_relative_information_score: 135.3555, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7123, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076, scimark_benchmark: 1290.2862, usercpu_time_millis: 8.148, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 7.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7689, kappa: 0.4877, kb_relative_information_score: 255.554, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 1287.7349, usercpu_time_millis: 64.121, usercpu_time_millis_testing: 4.603, usercpu_time_millis_training: 59.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 230.1882, mean_absolute_error: 0.3261, 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: 0.7175, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1297.176, usercpu_time_millis: 14.337, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 13.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0183, 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: 1290.8504, usercpu_time_millis: 2.442, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7493, kappa: 0.4354, kb_relative_information_score: 171.8356, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568, scimark_benchmark: 1293.8098, usercpu_time_millis: 11.341, usercpu_time_millis_testing: 1.585, usercpu_time_millis_training: 9.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.503, mean_absolute_error: 0.4542, 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: 0.9993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1297.3224, usercpu_time_millis: 3.282, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.858,

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