Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9807, kappa: 0.8089, kb_relative_information_score: 3196.1285, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9799, kappa: 0.7998, kb_relative_information_score: 3241.2285, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9789, kappa: 0.7927, kb_relative_information_score: 2890.9966, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9804, kappa: 0.805, kb_relative_information_score: 2971.399, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9777, kappa: 0.7781, kb_relative_information_score: 2903.3456, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 3205.0838, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9801, kappa: 0.8023, kb_relative_information_score: 3022.7887, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9794, kappa: 0.7941, kb_relative_information_score: 2952.1657, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.98, kappa: 0.8028, kb_relative_information_score: 3180.2462, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9797, kappa: 0.7976, kb_relative_information_score: 3238.8015, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9801, kappa: 0.8042, kb_relative_information_score: 3186.9035, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9818, kappa: 0.8203, kb_relative_information_score: 3107.659, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9799, kappa: 0.7998, kb_relative_information_score: 3091.0386, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9787, kappa: 0.7897, kb_relative_information_score: 2958.2081, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9786, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9801, kappa: 0.8035, kb_relative_information_score: 3240.8421, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9793, kappa: 0.7939, kb_relative_information_score: 3279.8055, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9749, kappa: 0.7547, kb_relative_information_score: 2768.3594, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3073.8819, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3198.7055, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9802, kappa: 0.8018, kb_relative_information_score: 3136.5069, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2932.0699, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9783, kappa: 0.787, kb_relative_information_score: 2871.898, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.5524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.977, kappa: 0.7706, kb_relative_information_score: 2914.8004, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9767, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9805, kappa: 0.8057, kb_relative_information_score: 3037.1795, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9789, kappa: 0.7927, kb_relative_information_score: 2896.3242, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2960.4455, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9794, kappa: 0.7941, kb_relative_information_score: 3065.5974, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3054.2776, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9749, kappa: 0.7547, kb_relative_information_score: 2777.1416, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9811, kappa: 0.8123, kb_relative_information_score: 3061.511, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9768, kappa: 0.7707, kb_relative_information_score: 2845.5388, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9758, kappa: 0.7653, kb_relative_information_score: 2757.3158, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2926.9364, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2743.4407, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2936.176, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9808, kappa: 0.8103, kb_relative_information_score: 3103.2148, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9815, kappa: 0.8168, kb_relative_information_score: 3123.1827, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9768, kappa: 0.7707, kb_relative_information_score: 2882.571, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2823.1714, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9792, kappa: 0.7918, kb_relative_information_score: 3042.6081, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9775, kappa: 0.7756, kb_relative_information_score: 2907.7539, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9772, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2940.8033, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.5453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9804, kappa: 0.805, kb_relative_information_score: 3013.4763, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9787, kappa: 0.7897, kb_relative_information_score: 2939.1851, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9786, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9805, kappa: 0.8083, kb_relative_information_score: 3232.8086, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9797, kappa: 0.7968, kb_relative_information_score: 3073.8129, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9795, kappa: 0.7984, kb_relative_information_score: 2965.9234, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9758, kappa: 0.7653, kb_relative_information_score: 2754.2452, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9815, kappa: 0.8168, kb_relative_information_score: 3124.0746, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9799, kappa: 0.7998, kb_relative_information_score: 3088.1038, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9791, kappa: 0.793, kb_relative_information_score: 3057.9514, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9812, kappa: 0.813, kb_relative_information_score: 3038.169, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9812, kappa: 0.8161, kb_relative_information_score: 3274.4875, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9795, kappa: 0.7984, kb_relative_information_score: 2957.317, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9801, kappa: 0.8042, kb_relative_information_score: 3321.783, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9796, kappa: 0.7979, kb_relative_information_score: 3084.3319, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9797, kappa: 0.7989, kb_relative_information_score: 3249.285, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9799, kappa: 0.7998, kb_relative_information_score: 3072.9973, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9794, kappa: 0.7941, kb_relative_information_score: 2958.3126, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9808, kappa: 0.8103, kb_relative_information_score: 3207.3971, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9796, kappa: 0.7986, kb_relative_information_score: 3141.169, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.979, kappa: 0.7907, kb_relative_information_score: 2964.3084, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9792, kappa: 0.7918, kb_relative_information_score: 3011.2357, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9807, kappa: 0.81, kb_relative_information_score: 3241.1505, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9815, kappa: 0.8158, kb_relative_information_score: 3004.6819, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9808, kappa: 0.8085, kb_relative_information_score: 3132.5427, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2933.1188, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9796, kappa: 0.7974, kb_relative_information_score: 3258.086, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3053.8576, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9805, kappa: 0.8057, kb_relative_information_score: 3032.9292, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9758, kappa: 0.7653, kb_relative_information_score: 2775.6835, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.979, kappa: 0.7915, kb_relative_information_score: 2948.9267, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9815, kappa: 0.8168, kb_relative_information_score: 3128.7606, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2837.3143, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9794, kappa: 0.797, kb_relative_information_score: 3127.563, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2746.5547, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9797, kappa: 0.7989, kb_relative_information_score: 3374.5168, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9806, kappa: 0.8067, kb_relative_information_score: 3051.0174, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9793, kappa: 0.7968, kb_relative_information_score: 3211.521, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9789, kappa: 0.7927, kb_relative_information_score: 2931.3849, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3043.526, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9783, kappa: 0.7832, kb_relative_information_score: 2959.0689, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9796, kappa: 0.7986, kb_relative_information_score: 3124.0213, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.5595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9795, kappa: 0.7984, kb_relative_information_score: 2937.4958, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9786, kappa: 0.7888, kb_relative_information_score: 3161.3302, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9785, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2953.1366, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9805, kappa: 0.8064, kb_relative_information_score: 3156.093, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9816, kappa: 0.8188, kb_relative_information_score: 3256.6907, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9758, kappa: 0.7653, kb_relative_information_score: 2776.9679, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2960.9265, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9796, kappa: 0.7986, kb_relative_information_score: 3168.2524, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.5681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9777, kappa: 0.7781, kb_relative_information_score: 2909.9635, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9793, kappa: 0.7955, kb_relative_information_score: 3082.9961, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9793, kappa: 0.7968, kb_relative_information_score: 3256.484, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9809, kappa: 0.8117, kb_relative_information_score: 3413.3554, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2950.0534, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9794, kappa: 0.7941, kb_relative_information_score: 3056.8964, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9773, kappa: 0.7756, kb_relative_information_score: 2871.2721, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2813.1996, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9773, kappa: 0.7756, kb_relative_information_score: 2855.4139, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5692,

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