OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131686 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: 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: 0.5, 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: 0.389, f_measure: 0.4459, kappa: -0.2235, kb_relative_information_score: -0.2645, mean_absolute_error: 0.5521, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.444, predictive_accuracy: 0.4479, prior_entropy: 0.9331, recall: 0.4479, relative_absolute_error: 1.2147, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.743, root_relative_squared_error: 1.5589,
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: 0.6787, f_measure: 0.7165, kappa: 0.3681, kb_relative_information_score: 0.3618, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7146, predictive_accuracy: 0.7214, prior_entropy: 0.9331, recall: 0.7214, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5525, kappa: 0.0528, kb_relative_information_score: 0.2216, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6536, predictive_accuracy: 0.6602, prior_entropy: 0.9331, recall: 0.6602, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.583, root_relative_squared_error: 1.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7228, kappa: 0.3901, kb_relative_information_score: 0.3648, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7229, predictive_accuracy: 0.7227, prior_entropy: 0.9331, recall: 0.7227, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.697, kappa: 0.334, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6974, predictive_accuracy: 0.6966, prior_entropy: 0.9331, recall: 0.6966, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7415, kappa: 0.4179, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4288, f_measure: 0.4843, kappa: -0.1602, kb_relative_information_score: -0.0736, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4579, predictive_accuracy: 0.5313, prior_entropy: 0.9331, recall: 0.5313, relative_absolute_error: 1.0314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6847, root_relative_squared_error: 1.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.6421, kappa: 0.2159, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6438, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3757, f_measure: 0.4339, kappa: -0.2506, kb_relative_information_score: -0.2914, mean_absolute_error: 0.5638, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4317, predictive_accuracy: 0.4362, prior_entropy: 0.9331, recall: 0.4362, relative_absolute_error: 1.2405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7509, root_relative_squared_error: 1.5753,
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: 0.6445, f_measure: 0.6811, kappa: 0.2932, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6792, 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: 0.6445, f_measure: 0.6811, kappa: 0.2932, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6792, 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: 0.5, 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: 0.638, f_measure: 0.6914, kappa: 0.3045, kb_relative_information_score: 0.3439, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7023, predictive_accuracy: 0.7135, prior_entropy: 0.9331, recall: 0.7135, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.5425, kappa: 0.0196, kb_relative_information_score: 0.1828, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5732, predictive_accuracy: 0.6432, prior_entropy: 0.9331, recall: 0.6432, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.2532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6958, kappa: 0.3317, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6953, prior_entropy: 0.9331, recall: 0.6953, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581,
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: 0.6664, f_measure: 0.6958, kappa: 0.3317, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6953, prior_entropy: 0.9331, recall: 0.6953, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5546, kappa: 0.0518, kb_relative_information_score: 0.2156, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6328, predictive_accuracy: 0.6576, prior_entropy: 0.9331, recall: 0.6576, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5852, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.5188, kappa: 0.0071, kb_relative_information_score: 0.2037, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6573, 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: 0.6462, f_measure: 0.703, kappa: 0.3335, kb_relative_information_score: 0.3916, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7387, predictive_accuracy: 0.7344, prior_entropy: 0.9331, recall: 0.7344, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0813,
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: 0.5, 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: 0.5, 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: 0.6559, 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: 0.6769, f_measure: 0.7158, kappa: 0.3659, kb_relative_information_score: 0.3618, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.714, predictive_accuracy: 0.7214, prior_entropy: 0.9331, recall: 0.7214, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1075,
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: 0.5, 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: 0.4215, f_measure: 0.4757, kappa: -0.1582, kb_relative_information_score: -0.1959, mean_absolute_error: 0.5221, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4737, predictive_accuracy: 0.4779, prior_entropy: 0.9331, recall: 0.4779, relative_absolute_error: 1.1488, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7226, root_relative_squared_error: 1.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.6811, kappa: 0.2932, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6792, 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: 0.5, 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: 0.6925, f_measure: 0.7411, kappa: 0.4168, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7503, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5194, kappa: 0.0097, kb_relative_information_score: 0.2067, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.6536, prior_entropy: 0.9331, recall: 0.6536, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5194, kappa: 0.0097, kb_relative_information_score: 0.2067, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.6536, prior_entropy: 0.9331, recall: 0.6536, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7101, kappa: 0.3495, kb_relative_information_score: 0.3588, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.71, predictive_accuracy: 0.7201, prior_entropy: 0.9331, recall: 0.7201, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5194, kappa: 0.0097, kb_relative_information_score: 0.2067, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.6536, prior_entropy: 0.9331, recall: 0.6536, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 0.3827, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9331, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7101, kappa: 0.3495, kb_relative_information_score: 0.3588, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.71, predictive_accuracy: 0.7201, prior_entropy: 0.9331, recall: 0.7201, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.6759, kappa: 0.2844, kb_relative_information_score: 0.2604, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6749, predictive_accuracy: 0.6771, prior_entropy: 0.9331, recall: 0.6771, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7101, kappa: 0.3495, kb_relative_information_score: 0.3588, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.71, predictive_accuracy: 0.7201, prior_entropy: 0.9331, recall: 0.7201, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 0.3827, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9331, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 0.3827, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9331, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5107, kappa: -0.0184, kb_relative_information_score: 0.1769, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4566, predictive_accuracy: 0.6406, prior_entropy: 0.9331, recall: 0.6406, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3645, f_measure: 0.4269, kappa: -0.2853, kb_relative_information_score: -0.2705, mean_absolute_error: 0.5547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4119, predictive_accuracy: 0.4453, prior_entropy: 0.9331, recall: 0.4453, relative_absolute_error: 1.2205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7448, root_relative_squared_error: 1.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7356, kappa: 0.4044, kb_relative_information_score: 0.4274, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.75, prior_entropy: 0.9331, recall: 0.75, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
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: 0.6447, f_measure: 0.6771, kappa: 0.2893, kb_relative_information_score: 0.2604, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6771, predictive_accuracy: 0.6771, prior_entropy: 0.9331, recall: 0.6771, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1922,

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