OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 146607 Supervised Classification SpeedDating 23409 runs submitted
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23409 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.2025, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, kb_relative_information_score: -1400.6068, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.2025, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, kb_relative_information_score: -1400.6068, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, kb_relative_information_score: -1400.6068, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.829, kappa: 0.3594, kb_relative_information_score: 2151.2954, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8247, predictive_accuracy: 0.8348, prior_entropy: 0.6457, recall: 0.8348, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7942, kappa: 0.3621, kb_relative_information_score: -516.6474, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8376, predictive_accuracy: 0.7725, prior_entropy: 0.6457, recall: 0.7725, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.1696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 15.7572, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, kb_relative_information_score: -1400.6068, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8281, kappa: 0.3131, kb_relative_information_score: 1007.4116, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8279, predictive_accuracy: 0.8514, prior_entropy: 0.6457, recall: 0.8514, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7535, kappa: 0.326, kb_relative_information_score: -2687.8916, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8457, predictive_accuracy: 0.7189, prior_entropy: 0.6457, recall: 0.7189, relative_absolute_error: 1.0488, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7879, kappa: 0.3639, kb_relative_information_score: -966.7019, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8429, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4476, root_relative_squared_error: 1.2068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8311, kappa: 0.3262, kb_relative_information_score: 924.7155, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8312, predictive_accuracy: 0.8534, prior_entropy: 0.6457, recall: 0.8534, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.8176, kappa: 0.2624, kb_relative_information_score: 485.201, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8198, predictive_accuracy: 0.8472, prior_entropy: 0.6457, recall: 0.8472, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.2025, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7874, kappa: 0.3631, kb_relative_information_score: -984.215, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8429, predictive_accuracy: 0.7622, prior_entropy: 0.6457, recall: 0.7622, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7493, kappa: 0.3233, kb_relative_information_score: -2733.7475, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.847, predictive_accuracy: 0.7137, prior_entropy: 0.6457, recall: 0.7137, relative_absolute_error: 1.0533, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7523, kappa: 0.3247, kb_relative_information_score: -2713.6901, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.7175, prior_entropy: 0.6457, recall: 0.7175, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.3239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7888, kappa: 0.3628, kb_relative_information_score: -881.9477, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8417, predictive_accuracy: 0.7644, prior_entropy: 0.6457, recall: 0.7644, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4463, root_relative_squared_error: 1.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8224, kappa: 0.28, kb_relative_information_score: 917.2064, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8292, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8315, kappa: 0.3306, kb_relative_information_score: 919.9769, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8522, prior_entropy: 0.6457, recall: 0.8522, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.329, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7601, kappa: 0.3321, kb_relative_information_score: -2378.224, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8446, predictive_accuracy: 0.7271, prior_entropy: 0.6457, recall: 0.7271, relative_absolute_error: 1.0212, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7883, kappa: 0.3641, kb_relative_information_score: -936.843, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.7634, prior_entropy: 0.6457, recall: 0.7634, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.2025, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.764, kappa: 0.0171, kb_relative_information_score: 2092.2415, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7475, predictive_accuracy: 0.8306, prior_entropy: 0.6457, recall: 0.8306, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.41, root_relative_squared_error: 1.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8299, kappa: 0.3256, kb_relative_information_score: 1056.3066, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8274, predictive_accuracy: 0.8502, prior_entropy: 0.6457, recall: 0.8502, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8252, kappa: 0.2949, kb_relative_information_score: 942.5307, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.829, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7487, kappa: 0.3221, kb_relative_information_score: -2753.5425, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8467, predictive_accuracy: 0.7129, prior_entropy: 0.6457, recall: 0.7129, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.3334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, kb_relative_information_score: -1400.6068, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8313, kappa: 0.3276, kb_relative_information_score: 1200.7722, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.831, predictive_accuracy: 0.8532, prior_entropy: 0.6457, recall: 0.8532, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8278, kappa: 0.3255, kb_relative_information_score: 921.4907, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8225, predictive_accuracy: 0.8445, prior_entropy: 0.6457, recall: 0.8445, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7458, kappa: 0.3188, kb_relative_information_score: -2879.0692, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8468, predictive_accuracy: 0.7094, prior_entropy: 0.6457, recall: 0.7094, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.766, kappa: 0.026, kb_relative_information_score: 2112.5832, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.755, predictive_accuracy: 0.831, prior_entropy: 0.6457, recall: 0.831, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7532, kappa: 0.3261, kb_relative_information_score: -2699.9108, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7185, prior_entropy: 0.6457, recall: 0.7185, relative_absolute_error: 1.0499, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7832, kappa: 0.3553, kb_relative_information_score: -1220.7458, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8414, predictive_accuracy: 0.7571, prior_entropy: 0.6457, recall: 0.7571, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7873, kappa: 0.3626, kb_relative_information_score: -975.3449, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8427, predictive_accuracy: 0.7621, prior_entropy: 0.6457, recall: 0.7621, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4478, root_relative_squared_error: 1.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8245, kappa: 0.2923, kb_relative_information_score: 985.2886, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.828, predictive_accuracy: 0.8519, prior_entropy: 0.6457, recall: 0.8519, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.8078, kappa: 0.2202, kb_relative_information_score: 2376.2428, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8075, predictive_accuracy: 0.8407, prior_entropy: 0.6457, recall: 0.8407, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3785, root_relative_squared_error: 1.0203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7622, kappa: 0.0095, kb_relative_information_score: 2074.6122, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7386, predictive_accuracy: 0.83, prior_entropy: 0.6457, recall: 0.83, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.1087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8142, kappa: 0.2384, kb_relative_information_score: 763.0959, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8515, prior_entropy: 0.6457, recall: 0.8515, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8203, kappa: 0.2689, kb_relative_information_score: 807.4286, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8299, predictive_accuracy: 0.8526, prior_entropy: 0.6457, recall: 0.8526, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7466, kappa: 0.3189, kb_relative_information_score: -2877.9132, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.7104, prior_entropy: 0.6457, recall: 0.7104, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.496, root_relative_squared_error: 1.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7839, kappa: 0.106, kb_relative_information_score: 2307.1401, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7885, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8187, kappa: 0.262, kb_relative_information_score: 768.8362, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8274, predictive_accuracy: 0.8513, prior_entropy: 0.6457, recall: 0.8513, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8134, kappa: 0.2343, kb_relative_information_score: 746.0794, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.831, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8259, kappa: 0.2981, kb_relative_information_score: 960.9527, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8214, kappa: 0.2746, kb_relative_information_score: 882.8265, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8296, predictive_accuracy: 0.8526, prior_entropy: 0.6457, recall: 0.8526, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8205, kappa: 0.2686, kb_relative_information_score: 909.8035, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8313, predictive_accuracy: 0.8532, prior_entropy: 0.6457, recall: 0.8532, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8171, kappa: 0.251, kb_relative_information_score: 778.6203, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8336, predictive_accuracy: 0.8533, prior_entropy: 0.6457, recall: 0.8533, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.826, kappa: 0.2946, kb_relative_information_score: 985.1927, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8348, predictive_accuracy: 0.8556, prior_entropy: 0.6457, recall: 0.8556, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8634,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.82, kappa: 0.2685, kb_relative_information_score: 837.7996, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8281, predictive_accuracy: 0.8518, prior_entropy: 0.6457, recall: 0.8518, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.746, kappa: 0.3183, kb_relative_information_score: -2894.3233, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.7097, prior_entropy: 0.6457, recall: 0.7097, relative_absolute_error: 1.0681, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7886, kappa: 0.3628, kb_relative_information_score: -888.0185, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8418, predictive_accuracy: 0.764, prior_entropy: 0.6457, recall: 0.764, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.2034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7886, kappa: 0.3637, kb_relative_information_score: -935.0052, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8424, predictive_accuracy: 0.7639, prior_entropy: 0.6457, recall: 0.7639, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7888, kappa: 0.3628, kb_relative_information_score: -881.6191, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8417, predictive_accuracy: 0.7644, prior_entropy: 0.6457, recall: 0.7644, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4463, root_relative_squared_error: 1.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.8054, kappa: 0.2062, kb_relative_information_score: 2400.2372, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8082, predictive_accuracy: 0.8416, prior_entropy: 0.6457, recall: 0.8416, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3804, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7466, kappa: 0.32, kb_relative_information_score: -2826.0871, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8468, predictive_accuracy: 0.7104, prior_entropy: 0.6457, recall: 0.7104, relative_absolute_error: 1.0616, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7972, kappa: 0.3639, kb_relative_information_score: -364.0213, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.7768, prior_entropy: 0.6457, recall: 0.7768, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8278, kappa: 0.3034, kb_relative_information_score: 905.7238, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8349, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.8308, kappa: 0.324, kb_relative_information_score: 957.6316, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8313, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7897, kappa: 0.363, kb_relative_information_score: -831.4055, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8412, predictive_accuracy: 0.7656, prior_entropy: 0.6457, recall: 0.7656, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.443, root_relative_squared_error: 1.1942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8101, kappa: 0.3599, kb_relative_information_score: 479.9557, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8275, predictive_accuracy: 0.7984, prior_entropy: 0.6457, recall: 0.7984, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7892, kappa: 0.363, kb_relative_information_score: -880.9166, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8415, predictive_accuracy: 0.7649, prior_entropy: 0.6457, recall: 0.7649, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.8238, kappa: 0.3315, kb_relative_information_score: 1898.6152, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6457, recall: 0.8324, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7471, kappa: 0.3213, kb_relative_information_score: -2848.5291, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8474, predictive_accuracy: 0.7109, prior_entropy: 0.6457, recall: 0.7109, relative_absolute_error: 1.0637, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.8371, kappa: 0.37, kb_relative_information_score: 2584.2838, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8321, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8207, kappa: 0.2706, kb_relative_information_score: 767.5668, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.8526, prior_entropy: 0.6457, recall: 0.8526, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7462, kappa: 0.3186, kb_relative_information_score: -2892.7317, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.71, prior_entropy: 0.6457, recall: 0.71, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.764, kappa: 0.0171, kb_relative_information_score: 2094.336, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7475, predictive_accuracy: 0.8306, prior_entropy: 0.6457, recall: 0.8306, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8228, kappa: 0.2787, kb_relative_information_score: 878.6676, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8344, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.82, kappa: 0.2671, kb_relative_information_score: 787.7164, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8526, prior_entropy: 0.6457, recall: 0.8526, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.819, kappa: 0.2852, kb_relative_information_score: 2229.5241, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8132, predictive_accuracy: 0.8393, prior_entropy: 0.6457, recall: 0.8393, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7885, kappa: 0.3612, kb_relative_information_score: -878.3014, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.841, predictive_accuracy: 0.764, prior_entropy: 0.6457, recall: 0.764, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4462, root_relative_squared_error: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8019, kappa: 0.3585, kb_relative_information_score: 6.8898, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.831, predictive_accuracy: 0.785, prior_entropy: 0.6457, recall: 0.785, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.1284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.788, kappa: 0.3638, kb_relative_information_score: -972.4372, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.7631, prior_entropy: 0.6457, recall: 0.7631, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.447, root_relative_squared_error: 1.2051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7649, kappa: 0.0192, kb_relative_information_score: 420.0128, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8263, predictive_accuracy: 0.8367, prior_entropy: 0.6457, recall: 0.8367, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7501, kappa: 0.3229, kb_relative_information_score: -2673.9986, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.7147, prior_entropy: 0.6457, recall: 0.7147, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7881, kappa: 0.3643, kb_relative_information_score: -958.8017, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.843, predictive_accuracy: 0.7632, prior_entropy: 0.6457, recall: 0.7632, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7486, kappa: 0.3209, kb_relative_information_score: -2823.1363, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7129, prior_entropy: 0.6457, recall: 0.7129, relative_absolute_error: 1.0613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8132, kappa: 0.233, kb_relative_information_score: 837.5212, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8319, predictive_accuracy: 0.8519, prior_entropy: 0.6457, recall: 0.8519, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7472, kappa: 0.3206, kb_relative_information_score: -2801.8251, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8468, predictive_accuracy: 0.7111, prior_entropy: 0.6457, recall: 0.7111, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.8213, kappa: 0.2797, kb_relative_information_score: 820.9972, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8232, predictive_accuracy: 0.849, prior_entropy: 0.6457, recall: 0.849, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.815, kappa: 0.2431, kb_relative_information_score: 730.5557, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8285, predictive_accuracy: 0.8512, prior_entropy: 0.6457, recall: 0.8512, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8034, kappa: 0.3596, kb_relative_information_score: 137.2943, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.7873, prior_entropy: 0.6457, recall: 0.7873, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.121,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7881, kappa: 0.3643, kb_relative_information_score: -961.3631, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.843, predictive_accuracy: 0.7632, prior_entropy: 0.6457, recall: 0.7632, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4476, root_relative_squared_error: 1.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.825, kappa: 0.29, kb_relative_information_score: 936.0068, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8336, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7884, kappa: 0.3628, kb_relative_information_score: -899.2624, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.842, predictive_accuracy: 0.7637, prior_entropy: 0.6457, recall: 0.7637, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4466, root_relative_squared_error: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8157, kappa: 0.3643, kb_relative_information_score: 847.1107, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.827, predictive_accuracy: 0.8074, prior_entropy: 0.6457, recall: 0.8074, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.746, kappa: 0.3183, kb_relative_information_score: -2894.338, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.7097, prior_entropy: 0.6457, recall: 0.7097, relative_absolute_error: 1.0681, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8326, kappa: 0.3384, kb_relative_information_score: 1192.5542, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8299, predictive_accuracy: 0.8515, prior_entropy: 0.6457, recall: 0.8515, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8264, kappa: 0.3007, kb_relative_information_score: 978.4131, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.83, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8252, kappa: 0.2932, kb_relative_information_score: 846.5197, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8309, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8197, kappa: 0.2692, kb_relative_information_score: 809.9446, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.825, predictive_accuracy: 0.8502, prior_entropy: 0.6457, recall: 0.8502, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, kb_relative_information_score: 220.7191, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7882, kappa: 0.3639, kb_relative_information_score: -925.544, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.7633, prior_entropy: 0.6457, recall: 0.7633, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.447, root_relative_squared_error: 1.2051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8249, kappa: 0.3052, kb_relative_information_score: 741.0866, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8212, predictive_accuracy: 0.8459, prior_entropy: 0.6457, recall: 0.8459, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9027,

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