Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 296427 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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296427 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9734, kappa: 0.7126, kb_relative_information_score: 2625.7387, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9793, kappa: 0.7955, kb_relative_information_score: 3087.9649, mean_absolute_error: 0.0239, 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: 0.2335, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9769, kappa: 0.7715, kb_relative_information_score: 3264.4682, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9767, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9793, kappa: 0.7955, kb_relative_information_score: 3070.3508, 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: 0.2325, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9783, kappa: 0.787, kb_relative_information_score: 2863.5255, 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: 0.2599, 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: 0.9275, f_measure: 0.9783, kappa: 0.787, kb_relative_information_score: 3295.1377, mean_absolute_error: 0.0221, 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: 0.2163, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.979, kappa: 0.7907, kb_relative_information_score: 2967.0794, 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: 0.2513, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9819, kappa: 0.8216, kb_relative_information_score: 3129.362, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9808, kappa: 0.8103, kb_relative_information_score: 3098.7623, mean_absolute_error: 0.0242, 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: 0.2369, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 2991.2981, mean_absolute_error: 0.0251, 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: 0.2452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.124, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 2986.0069, mean_absolute_error: 0.0247, 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: 0.242, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2974.572, mean_absolute_error: 0.0249, 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: 0.244, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.5417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9797, kappa: 0.7981, kb_relative_information_score: 3348.985, mean_absolute_error: 0.021, 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: 0.2054, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2926.1714, mean_absolute_error: 0.0255, 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: 0.2499, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3064.3246, 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: 0.2376, 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: 0.9453, f_measure: 0.9795, kappa: 0.7992, kb_relative_information_score: 3215.4559, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.979, kappa: 0.7921, kb_relative_information_score: 3196.825, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.981, kappa: 0.8127, kb_relative_information_score: 3091.3441, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2953.9513, 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: 0.1223, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, 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: 0.1312, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.979, kappa: 0.7915, kb_relative_information_score: 2961.2149, 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: 0.2574, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9803, kappa: 0.8059, kb_relative_information_score: 3225.2571, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.2197, 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: 0.9619, f_measure: 0.9758, kappa: 0.7653, kb_relative_information_score: 2766.0496, 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: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2936.3334, mean_absolute_error: 0.0253, 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: 0.2478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9794, kappa: 0.7957, kb_relative_information_score: 3025.8447, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9811, kappa: 0.8123, kb_relative_information_score: 3019.1822, mean_absolute_error: 0.0244, 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: 0.2385, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9798, kappa: 0.7983, kb_relative_information_score: 3020.3406, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9791, kappa: 0.793, kb_relative_information_score: 3091.3683, mean_absolute_error: 0.0235, 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: 0.2295, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9788, kappa: 0.7912, kb_relative_information_score: 2945.9387, 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: 0.2482, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9787, kappa: 0.7897, kb_relative_information_score: 2969.1826, mean_absolute_error: 0.0252, 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: 0.2467, 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: 0.9378, f_measure: 0.9799, kappa: 0.8025, kb_relative_information_score: 3195.4344, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 2965.7833, mean_absolute_error: 0.0251, 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: 0.2458, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9796, kappa: 0.7986, kb_relative_information_score: 3159.2072, mean_absolute_error: 0.0229, 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: 0.2242, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9798, kappa: 0.7983, kb_relative_information_score: 3101.4299, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9799, kappa: 0.7998, kb_relative_information_score: 3067.8641, mean_absolute_error: 0.0236, 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: 0.2308, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9802, kappa: 0.8018, kb_relative_information_score: 3088.7732, mean_absolute_error: 0.0234, 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: 0.2286, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9797, kappa: 0.8016, kb_relative_information_score: 3256.3378, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3049.2328, 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: 0.2373, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9758, kappa: 0.7653, kb_relative_information_score: 2767.4635, 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: 0.2819, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9806, kappa: 0.8086, kb_relative_information_score: 3304.6562, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9783, kappa: 0.7832, kb_relative_information_score: 2952.0984, mean_absolute_error: 0.0261, 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: 0.2557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9818, kappa: 0.8203, kb_relative_information_score: 3235.9917, mean_absolute_error: 0.0219, 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: 0.2146, 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: 0.956, f_measure: 0.9796, kappa: 0.7966, kb_relative_information_score: 2956.2792, mean_absolute_error: 0.0254, 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: 0.2481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9799, kappa: 0.8032, kb_relative_information_score: 3259.831, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9749, kappa: 0.7547, kb_relative_information_score: 2775.6062, 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: 0.2788, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2854.813, 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: 0.2716, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9789, kappa: 0.7913, kb_relative_information_score: 2947.3548, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2487, 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: 0.9558, f_measure: 0.9788, kappa: 0.7882, kb_relative_information_score: 2970.6141, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9785, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9799, kappa: 0.7998, kb_relative_information_score: 3060.9029, 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: 0.2304, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9773, kappa: 0.7756, kb_relative_information_score: 2865.0242, mean_absolute_error: 0.0275, 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: 0.2689, 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: 0.9453, f_measure: 0.979, kappa: 0.7929, kb_relative_information_score: 3153.2724, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3011.9747, mean_absolute_error: 0.0246, 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: 0.2404, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9823, kappa: 0.8235, kb_relative_information_score: 3259.7629, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9821, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2074, 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: 0.9379, f_measure: 0.9807, kappa: 0.8074, kb_relative_information_score: 3195.9971, mean_absolute_error: 0.0226, 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: 0.221, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9808, kappa: 0.8085, kb_relative_information_score: 2966.1502, mean_absolute_error: 0.0247, 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: 0.2417, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9788, kappa: 0.7882, kb_relative_information_score: 2969.9491, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9785, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2825.3402, 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: 0.2755, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9795, kappa: 0.7984, kb_relative_information_score: 2951.612, 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: 0.2474, 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: 0.9573, f_measure: 0.9777, kappa: 0.7781, kb_relative_information_score: 2930.3599, mean_absolute_error: 0.0267, 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: 0.2615, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2841.0639, 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: 0.1299, root_relative_squared_error: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9796, kappa: 0.7966, kb_relative_information_score: 2963.7692, mean_absolute_error: 0.0253, 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: 0.2478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2949.3168, mean_absolute_error: 0.0251, 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: 0.2453, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.9794, kappa: 0.797, kb_relative_information_score: 3188.7029, mean_absolute_error: 0.0221, 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: 0.2163, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9749, kappa: 0.7547, kb_relative_information_score: 2765.2871, mean_absolute_error: 0.0287, 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: 0.2804, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9801, kappa: 0.8042, kb_relative_information_score: 3370.8509, mean_absolute_error: 0.021, 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: 0.2058, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9808, kappa: 0.8103, kb_relative_information_score: 3081.2176, mean_absolute_error: 0.0241, 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: 0.2362, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9795, kappa: 0.7984, kb_relative_information_score: 3116.3945, mean_absolute_error: 0.0233, 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: 0.2279, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9791, kappa: 0.793, kb_relative_information_score: 3062.2217, mean_absolute_error: 0.0238, 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: 0.2327, 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: 0.8976, f_measure: 0.9799, kappa: 0.8013, kb_relative_information_score: 3492.8943, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9794, kappa: 0.7941, kb_relative_information_score: 3069.8328, 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: 0.2317, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9806, kappa: 0.8067, kb_relative_information_score: 3088.3365, mean_absolute_error: 0.0234, 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: 0.2291, 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: 0.9491, f_measure: 0.9796, kappa: 0.7986, kb_relative_information_score: 3136.7706, mean_absolute_error: 0.0232, 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: 0.2273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9789, kappa: 0.7913, kb_relative_information_score: 2941.2602, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9749, kappa: 0.7547, kb_relative_information_score: 2762.7439, mean_absolute_error: 0.0287, 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: 0.281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.5794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9819, kappa: 0.8216, kb_relative_information_score: 3135.2211, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9805, kappa: 0.8057, kb_relative_information_score: 3187.4428, mean_absolute_error: 0.0227, 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: 0.2221, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9789, kappa: 0.7927, kb_relative_information_score: 2870.6299, 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: 0.257, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9803, kappa: 0.804, kb_relative_information_score: 2946.5937, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9787, kappa: 0.7897, kb_relative_information_score: 2960.8194, mean_absolute_error: 0.0253, 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: 0.247, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9786, kappa: 0.7888, kb_relative_information_score: 3372.3895, mean_absolute_error: 0.0213, 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: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2813.3896, mean_absolute_error: 0.028, 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: 0.2741, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2749.2557, mean_absolute_error: 0.029, 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: 0.2833, 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: 0.9417, f_measure: 0.9809, kappa: 0.8106, kb_relative_information_score: 3145.7797, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9813, kappa: 0.8134, kb_relative_information_score: 3032.0074, 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: 0.1258, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9797, kappa: 0.7968, kb_relative_information_score: 3098.0006, mean_absolute_error: 0.0238, 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: 0.2325, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9808, kappa: 0.8103, kb_relative_information_score: 3073.0761, mean_absolute_error: 0.0243, 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: 0.2381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9801, kappa: 0.8015, kb_relative_information_score: 3050.2371, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9793, kappa: 0.7947, kb_relative_information_score: 3215.6606, mean_absolute_error: 0.022, 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: 0.2149, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9802, kappa: 0.8033, kb_relative_information_score: 2941.477, mean_absolute_error: 0.0251, 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: 0.2457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9809, kappa: 0.8106, kb_relative_information_score: 3157.587, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9795, kappa: 0.7984, kb_relative_information_score: 2951.3551, 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: 0.2475, 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: 0.9521, f_measure: 0.9796, kappa: 0.7966, kb_relative_information_score: 2947.173, mean_absolute_error: 0.0254, 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: 0.2483, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9795, kappa: 0.7964, kb_relative_information_score: 3310.5725, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9799, kappa: 0.7993, kb_relative_information_score: 3070.4672, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9792, kappa: 0.7945, kb_relative_information_score: 3126.7498, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9759, kappa: 0.7652, kb_relative_information_score: 2754.6435, mean_absolute_error: 0.029, 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: 0.2833, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9799, kappa: 0.8013, kb_relative_information_score: 3456.5575, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3105.7004, mean_absolute_error: 0.0229, 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: 0.2242, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.9793, kappa: 0.7947, kb_relative_information_score: 3181.6159, mean_absolute_error: 0.0223, 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: 0.2185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.5921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9768, kappa: 0.7707, kb_relative_information_score: 2857.1533, 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: 0.2674, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.569,

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

OpenML APIs