Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 95046 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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95046 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9285, kappa: 0.8498, kb_relative_information_score: 3452.2078, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9144, kappa: 0.8205, kb_relative_information_score: 3564.2541, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9144, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9246, kappa: 0.8419, kb_relative_information_score: 3716.4315, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9246, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9102, kappa: 0.8115, kb_relative_information_score: 3499.9575, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9102, predictive_accuracy: 0.9105, prior_entropy: 0.9674, recall: 0.9105, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9122, kappa: 0.8157, kb_relative_information_score: 3572.5268, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 0.9674, recall: 0.9124, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.924, kappa: 0.8404, kb_relative_information_score: 3683.6152, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.924, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9207, kappa: 0.8335, kb_relative_information_score: 3774.3188, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.9674, recall: 0.9209, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9182, kappa: 0.8285, kb_relative_information_score: 3613.8304, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9181, predictive_accuracy: 0.9183, prior_entropy: 0.9674, recall: 0.9183, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9229, kappa: 0.8381, kb_relative_information_score: 3676.4393, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9253, kappa: 0.8433, kb_relative_information_score: 3721.1307, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9253, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9232, kappa: 0.839, kb_relative_information_score: 3823.7568, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9232, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9105, kappa: 0.8123, kb_relative_information_score: 3530.0184, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9105, predictive_accuracy: 0.9107, prior_entropy: 0.9674, recall: 0.9107, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9124, kappa: 0.8161, kb_relative_information_score: 3528.2991, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9124, predictive_accuracy: 0.9126, prior_entropy: 0.9674, recall: 0.9126, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9122, kappa: 0.8158, kb_relative_information_score: 3570.5269, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 0.9674, recall: 0.9124, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9255, kappa: 0.8437, kb_relative_information_score: 3776.101, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9255, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9193, kappa: 0.8307, kb_relative_information_score: 3616.3571, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9192, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9227, kappa: 0.8377, kb_relative_information_score: 3684.2654, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9227, predictive_accuracy: 0.9228, prior_entropy: 0.9674, recall: 0.9228, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9234, kappa: 0.8391, kb_relative_information_score: 3705.6765, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9236, predictive_accuracy: 0.9237, prior_entropy: 0.9674, recall: 0.9237, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9137, kappa: 0.8188, kb_relative_information_score: 3601.8431, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9137, predictive_accuracy: 0.9139, prior_entropy: 0.9674, recall: 0.9139, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9117, kappa: 0.8148, kb_relative_information_score: 3512.6218, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9118, predictive_accuracy: 0.912, prior_entropy: 0.9674, recall: 0.912, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9201, kappa: 0.8326, kb_relative_information_score: 3739.7107, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9201, predictive_accuracy: 0.9202, prior_entropy: 0.9674, recall: 0.9202, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9111, kappa: 0.8135, kb_relative_information_score: 3505.7695, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9111, predictive_accuracy: 0.9113, prior_entropy: 0.9674, recall: 0.9113, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9251, kappa: 0.8429, kb_relative_information_score: 3821.201, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9251, predictive_accuracy: 0.9252, prior_entropy: 0.9674, recall: 0.9252, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9195, kappa: 0.8311, kb_relative_information_score: 3660.4755, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9072, kappa: 0.8051, kb_relative_information_score: 3473.8427, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9072, predictive_accuracy: 0.9074, prior_entropy: 0.9674, recall: 0.9074, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9185, kappa: 0.8289, kb_relative_information_score: 3714.2078, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9185, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9262, kappa: 0.8451, kb_relative_information_score: 3855.4075, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9262, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9199, kappa: 0.8319, kb_relative_information_score: 3668.741, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9238, kappa: 0.8402, kb_relative_information_score: 3735.0398, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9238, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9203, kappa: 0.8326, kb_relative_information_score: 3706.8474, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9203, predictive_accuracy: 0.9205, prior_entropy: 0.9674, recall: 0.9205, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9218, kappa: 0.836, kb_relative_information_score: 3676.0994, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9218, predictive_accuracy: 0.922, prior_entropy: 0.9674, recall: 0.922, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9147, kappa: 0.8211, kb_relative_information_score: 3572.7683, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9146, predictive_accuracy: 0.9148, prior_entropy: 0.9674, recall: 0.9148, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9184, kappa: 0.8291, kb_relative_information_score: 3720.0978, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9184, predictive_accuracy: 0.9185, prior_entropy: 0.9674, recall: 0.9185, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9199, kappa: 0.8322, kb_relative_information_score: 3739.4234, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.919, kappa: 0.8301, kb_relative_information_score: 3659.9921, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9121, kappa: 0.8157, kb_relative_information_score: 3578.1916, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.912, predictive_accuracy: 0.9122, prior_entropy: 0.9674, recall: 0.9122, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9134, kappa: 0.8182, kb_relative_information_score: 3604.1028, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9135, predictive_accuracy: 0.9137, prior_entropy: 0.9674, recall: 0.9137, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9166, kappa: 0.8247, kb_relative_information_score: 3726.6588, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 0.9674, recall: 0.917, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.914, kappa: 0.8195, kb_relative_information_score: 3563.6148, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9139, predictive_accuracy: 0.9141, prior_entropy: 0.9674, recall: 0.9141, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9199, kappa: 0.8322, kb_relative_information_score: 3735.8307, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.919, kappa: 0.8303, kb_relative_information_score: 3613.0659, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9096, kappa: 0.8102, kb_relative_information_score: 3490.3442, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9096, predictive_accuracy: 0.9098, prior_entropy: 0.9674, recall: 0.9098, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.919, kappa: 0.8303, kb_relative_information_score: 3615.0555, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.919, kappa: 0.8299, kb_relative_information_score: 3692.2236, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9193, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9181, kappa: 0.8282, kb_relative_information_score: 3648.687, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9181, predictive_accuracy: 0.9183, prior_entropy: 0.9674, recall: 0.9183, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9246, kappa: 0.8418, kb_relative_information_score: 3702.0725, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9246, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9275, kappa: 0.8479, kb_relative_information_score: 3819.8246, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9275, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9238, kappa: 0.84, kb_relative_information_score: 3685.6971, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9238, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9025, kappa: 0.795, kb_relative_information_score: 3430.2782, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9026, predictive_accuracy: 0.9028, prior_entropy: 0.9674, recall: 0.9028, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9121, kappa: 0.8156, kb_relative_information_score: 3578.3983, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.912, predictive_accuracy: 0.9122, prior_entropy: 0.9674, recall: 0.9122, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9061, kappa: 0.8028, kb_relative_information_score: 3451.7353, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9063, predictive_accuracy: 0.9065, prior_entropy: 0.9674, recall: 0.9065, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9072, kappa: 0.8051, kb_relative_information_score: 3455.3364, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9074, predictive_accuracy: 0.9076, prior_entropy: 0.9674, recall: 0.9076, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9126, kappa: 0.8167, kb_relative_information_score: 3572.8759, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9126, predictive_accuracy: 0.9128, prior_entropy: 0.9674, recall: 0.9128, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9225, kappa: 0.8377, kb_relative_information_score: 3722.2896, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9192, kappa: 0.8303, kb_relative_information_score: 3628.1855, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9192, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9206, kappa: 0.8333, kb_relative_information_score: 3687.3064, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.9674, recall: 0.9209, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9238, kappa: 0.8401, kb_relative_information_score: 3686.5167, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9238, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9182, kappa: 0.8284, kb_relative_information_score: 3733.14, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9183, predictive_accuracy: 0.9185, prior_entropy: 0.9674, recall: 0.9185, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.923, kappa: 0.8384, kb_relative_information_score: 3820.1604, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9266, kappa: 0.8461, kb_relative_information_score: 3882.9441, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9266, predictive_accuracy: 0.9268, prior_entropy: 0.9674, recall: 0.9268, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9122, kappa: 0.8156, kb_relative_information_score: 3592.6978, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 0.9674, recall: 0.9124, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9255, kappa: 0.8437, kb_relative_information_score: 3809.3065, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9255, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9285, kappa: 0.85, kb_relative_information_score: 3696.5726, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9027, kappa: 0.7955, kb_relative_information_score: 3436.6309, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9028, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9022, kappa: 0.7946, kb_relative_information_score: 3430.2273, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9024, predictive_accuracy: 0.9026, prior_entropy: 0.9674, recall: 0.9026, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9228, kappa: 0.8384, kb_relative_information_score: 3808.221, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9228, predictive_accuracy: 0.9228, prior_entropy: 0.9674, recall: 0.9228, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9207, kappa: 0.8339, kb_relative_information_score: 3810.2462, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9207, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9057, kappa: 0.8019, kb_relative_information_score: 3445.7147, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9059, predictive_accuracy: 0.9061, prior_entropy: 0.9674, recall: 0.9061, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9177, kappa: 0.8272, kb_relative_information_score: 3731.626, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9179, predictive_accuracy: 0.9181, prior_entropy: 0.9674, recall: 0.9181, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9185, kappa: 0.8291, kb_relative_information_score: 3653.5175, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9185, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9203, kappa: 0.833, kb_relative_information_score: 3738.0671, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9203, predictive_accuracy: 0.9205, prior_entropy: 0.9674, recall: 0.9205, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9245, kappa: 0.8417, kb_relative_information_score: 3813.1665, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9244, predictive_accuracy: 0.9246, prior_entropy: 0.9674, recall: 0.9246, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9224, kappa: 0.8369, kb_relative_information_score: 3691.7318, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9242, kappa: 0.8411, kb_relative_information_score: 3737.4035, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9242, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9151, kappa: 0.822, kb_relative_information_score: 3581.8981, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9151, predictive_accuracy: 0.9152, prior_entropy: 0.9674, recall: 0.9152, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9152, kappa: 0.8221, kb_relative_information_score: 3636.0802, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9152, predictive_accuracy: 0.9155, prior_entropy: 0.9674, recall: 0.9155, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.912, kappa: 0.8152, kb_relative_information_score: 3520.6281, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.912, predictive_accuracy: 0.9122, prior_entropy: 0.9674, recall: 0.9122, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9146, kappa: 0.821, kb_relative_information_score: 3562.9102, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9146, predictive_accuracy: 0.9148, prior_entropy: 0.9674, recall: 0.9148, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9144, kappa: 0.8205, kb_relative_information_score: 3561.4346, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9144, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9173, kappa: 0.8268, kb_relative_information_score: 3607.3718, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9173, predictive_accuracy: 0.9174, prior_entropy: 0.9674, recall: 0.9174, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9229, kappa: 0.8382, kb_relative_information_score: 3713.5728, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9202, kappa: 0.8329, kb_relative_information_score: 3718.1222, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 0.9674, recall: 0.9202, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9206, kappa: 0.8335, kb_relative_information_score: 3747.4685, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9205, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9164, kappa: 0.8246, kb_relative_information_score: 3572.879, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9164, predictive_accuracy: 0.9165, prior_entropy: 0.9674, recall: 0.9165, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9092, kappa: 0.8097, kb_relative_information_score: 3525.9779, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9092, predictive_accuracy: 0.9094, prior_entropy: 0.9674, recall: 0.9094, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.924, kappa: 0.8406, kb_relative_information_score: 3780.8277, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.924, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9057, kappa: 0.8019, kb_relative_information_score: 3447.1689, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9059, predictive_accuracy: 0.9061, prior_entropy: 0.9674, recall: 0.9061, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9195, kappa: 0.8314, kb_relative_information_score: 3745.6396, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9195, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9164, kappa: 0.8246, kb_relative_information_score: 3587.4867, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9164, predictive_accuracy: 0.9165, prior_entropy: 0.9674, recall: 0.9165, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9251, kappa: 0.8429, kb_relative_information_score: 3818.5221, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9251, predictive_accuracy: 0.9252, prior_entropy: 0.9674, recall: 0.9252, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9223, kappa: 0.8369, kb_relative_information_score: 3747.1737, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9222, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9188, kappa: 0.8295, kb_relative_information_score: 3599.3287, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9187, predictive_accuracy: 0.9189, prior_entropy: 0.9674, recall: 0.9189, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9213, kappa: 0.8348, kb_relative_information_score: 3665.877, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9214, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.923, kappa: 0.8387, kb_relative_information_score: 3795.4719, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.923, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.912, kappa: 0.8154, kb_relative_information_score: 3567.7072, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.912, predictive_accuracy: 0.9122, prior_entropy: 0.9674, recall: 0.9122, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9116, kappa: 0.8144, kb_relative_information_score: 3515.3564, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9115, predictive_accuracy: 0.9118, prior_entropy: 0.9674, recall: 0.9118, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9206, kappa: 0.8334, kb_relative_information_score: 3638.8868, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9205, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5274,

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