Task
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 698 runs submitted
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  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8562, kappa: 0.6863, kb_relative_information_score: 118.0909, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.856, predictive_accuracy: 0.8571, prior_entropy: 1.0314, recall: 0.8571, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7961, kappa: 0.5528, kb_relative_information_score: 130.4985, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7963, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.836, kappa: 0.643, kb_relative_information_score: 155.7966, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8356, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7861, kappa: 0.5311, kb_relative_information_score: 105.9165, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7858, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.84, kappa: 0.6526, kb_relative_information_score: 170.4474, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8398, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8191, kappa: 0.6066, kb_relative_information_score: 113.8249, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8187, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 149.9927, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.257, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.5878, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8114, kappa: 0.5846, kb_relative_information_score: 144.1468, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.815, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8279, kappa: 0.6234, kb_relative_information_score: 162.7586, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.828, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8151, kappa: 0.5967, kb_relative_information_score: 151.2447, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8146, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7967, kappa: 0.5547, kb_relative_information_score: 140.4041, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7964, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.248, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 150.7563, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8275, kappa: 0.6218, kb_relative_information_score: 7.4404, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.828, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8051, kappa: 0.5752, kb_relative_information_score: 131.9581, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8045, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8114, kappa: 0.5846, kb_relative_information_score: 112.7528, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.815, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.228, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8137, kappa: 0.5916, kb_relative_information_score: 145.3002, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8139, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8158, kappa: 0.5949, kb_relative_information_score: 131.7037, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8179, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 149.18, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.836, kappa: 0.643, kb_relative_information_score: 164.1784, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8356, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8299, kappa: 0.6312, kb_relative_information_score: 165.6278, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8299, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8222, kappa: 0.6085, kb_relative_information_score: 8.722, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8425, kappa: 0.6564, kb_relative_information_score: 137.5477, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.8297, kappa: 0.6254, kb_relative_information_score: 9.5268, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8322, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8396, kappa: 0.6511, kb_relative_information_score: 168.1323, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.838, kappa: 0.6453, kb_relative_information_score: 161.5736, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 7.1123, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7766, kappa: 0.5115, kb_relative_information_score: 112.063, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7758, predictive_accuracy: 0.7789, prior_entropy: 1.0314, recall: 0.7789, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8099, kappa: 0.5831, kb_relative_information_score: 160.2098, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8104, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 160.1765, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7974, kappa: 0.5538, kb_relative_information_score: 154.0053, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8099, kappa: 0.5831, kb_relative_information_score: 160.2098, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8104, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 160.1765, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8099, kappa: 0.5831, kb_relative_information_score: 160.2098, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8104, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 160.1765, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 160.1765, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 158.1694, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7974, kappa: 0.5538, kb_relative_information_score: 154.0053, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7943, kappa: 0.5471, kb_relative_information_score: 151.9649, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7966, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7974, kappa: 0.5538, kb_relative_information_score: 154.0053, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7918, kappa: 0.5423, kb_relative_information_score: 149.9411, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8151, kappa: 0.5967, kb_relative_information_score: 93.6151, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8146, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.8115, scimark_benchmark: 666.2891, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 979.034, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 979.034, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 979.034, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs