OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7932, kappa: 0.3546, kb_relative_information_score: 118.9102, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7901, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7932, kappa: 0.3546, kb_relative_information_score: 120.2245, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7901, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.7847, kappa: 0.3313, kb_relative_information_score: 100.0533, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7823, predictive_accuracy: 0.7874, prior_entropy: 0.734, recall: 0.7874, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8127, kappa: 0.3907, kb_relative_information_score: 151.6311, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8104, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7978, kappa: 0.366, kb_relative_information_score: 126.4908, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.8195, kappa: 0.4134, kb_relative_information_score: 145.9013, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8177, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8093, kappa: 0.412, kb_relative_information_score: 143.4525, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 150.6919, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.7877, kappa: 0.3498, kb_relative_information_score: 109.9774, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7881, predictive_accuracy: 0.7874, prior_entropy: 0.734, recall: 0.7874, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.461, root_relative_squared_error: 1.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.8246, kappa: 0.4482, kb_relative_information_score: 147.2437, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8214, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.8215, kappa: 0.4358, kb_relative_information_score: 143.7508, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8179, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8379, kappa: 0.4993, kb_relative_information_score: 147.6243, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8369, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8093, kappa: 0.3881, kb_relative_information_score: 139.5202, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8049, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8025, kappa: 0.3877, kb_relative_information_score: 126.4591, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.8157, kappa: 0.4277, kb_relative_information_score: 147.768, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8112, kappa: 0.3864, kb_relative_information_score: 143.2813, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.8263, kappa: 0.4485, kb_relative_information_score: 147.8835, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8229, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.8157, kappa: 0.4277, kb_relative_information_score: 147.768, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8093, kappa: 0.3881, kb_relative_information_score: 139.5202, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8049, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8223, kappa: 0.4399, kb_relative_information_score: 145.8309, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8189, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8093, kappa: 0.3881, kb_relative_information_score: 139.5202, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8049, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8025, kappa: 0.3877, kb_relative_information_score: 126.4591, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.819, kappa: 0.4184, kb_relative_information_score: 147.4567, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8155, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 156.2899, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8025, kappa: 0.3877, kb_relative_information_score: 126.4591, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8379, kappa: 0.4993, kb_relative_information_score: 147.6243, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8369, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7932, kappa: 0.3546, kb_relative_information_score: 118.9102, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7901, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.8086, kappa: 0.3886, kb_relative_information_score: 135.6977, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8041, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.8246, kappa: 0.4482, kb_relative_information_score: 147.2437, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8214, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.8246, kappa: 0.4482, kb_relative_information_score: 147.2437, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8214, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.8288, kappa: 0.453, kb_relative_information_score: 148.5384, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8256, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8093, kappa: 0.412, kb_relative_information_score: 143.4525, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8149, kappa: 0.3946, kb_relative_information_score: 152.667, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8144, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.823, kappa: 0.444, kb_relative_information_score: 143.8148, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8025, kappa: 0.3877, kb_relative_information_score: 126.4591, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8149, kappa: 0.3946, kb_relative_information_score: 152.667, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8144, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8093, kappa: 0.412, kb_relative_information_score: 143.4525, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.8288, kappa: 0.453, kb_relative_information_score: 150.8167, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8256, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8379, kappa: 0.4993, kb_relative_information_score: 147.6243, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8369, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8093, kappa: 0.3881, kb_relative_information_score: 139.5202, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8049, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.8877,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8025, kappa: 0.3877, kb_relative_information_score: 126.4591, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 150.6919, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.8088, kappa: 0.3937, kb_relative_information_score: 141.7086, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8045, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8127, kappa: 0.3907, kb_relative_information_score: 151.6311, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8104, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8096, kappa: 0.3821, kb_relative_information_score: 138.3557, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8063, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8149, kappa: 0.3946, kb_relative_information_score: 152.667, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8144, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.8102, kappa: 0.3815, kb_relative_information_score: 151.2518, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8078, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8093, kappa: 0.412, kb_relative_information_score: 143.4525, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7901, kappa: 0.3471, kb_relative_information_score: 112.8576, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7875, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.063,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8223, kappa: 0.4399, kb_relative_information_score: 145.8309, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8189, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.8181, kappa: 0.4035, kb_relative_information_score: 156.2899, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8191, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8149, kappa: 0.3946, kb_relative_information_score: 152.667, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8144, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.8246, kappa: 0.4482, kb_relative_information_score: 147.2437, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8214, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8495,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.8499, kappa: 0.5436, kb_relative_information_score: 150.1449, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8514, predictive_accuracy: 0.8487, prior_entropy: 0.734, recall: 0.8487, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8096, kappa: 0.3821, kb_relative_information_score: 138.3557, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8063, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7901, kappa: 0.3471, kb_relative_information_score: 112.8576, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7875, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7978, kappa: 0.366, kb_relative_information_score: 126.4908, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8093, kappa: 0.3881, kb_relative_information_score: 139.5202, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8049, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.8175, kappa: 0.4039, kb_relative_information_score: 147.954, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8121, kappa: 0.3788, kb_relative_information_score: 155.3866, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8025, kappa: 0.3877, kb_relative_information_score: 126.4591, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.8086, kappa: 0.3886, kb_relative_information_score: 135.6977, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8041, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.7785, kappa: 0.317, kb_relative_information_score: 98.146, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7774, predictive_accuracy: 0.7797, prior_entropy: 0.734, recall: 0.7797, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8096, kappa: 0.3821, kb_relative_information_score: 138.3557, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8063, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8862,

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

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

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