Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 106049 runs submitted
0 likes downloaded by 2 people , 8 total downloads 0 issues
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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106049 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9398, kappa: 0.8624, kb_relative_information_score: 12711.8166, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.9135, recall: 0.9403, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9314, kappa: 0.8447, kb_relative_information_score: 13004.3822, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9315, predictive_accuracy: 0.9312, prior_entropy: 0.9135, recall: 0.9312, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9403, kappa: 0.8635, kb_relative_information_score: 12687.8629, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9135, recall: 0.9409, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9341, kappa: 0.85, kb_relative_information_score: 12807.0443, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.934, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9322, kappa: 0.8461, kb_relative_information_score: 12884.1427, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9321, predictive_accuracy: 0.9323, prior_entropy: 0.9135, recall: 0.9323, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9359, kappa: 0.8539, kb_relative_information_score: 12753.6156, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9359, predictive_accuracy: 0.9362, prior_entropy: 0.9135, recall: 0.9362, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.939, kappa: 0.8607, kb_relative_information_score: 12716.7056, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9395, predictive_accuracy: 0.9396, prior_entropy: 0.9135, recall: 0.9396, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9255, kappa: 0.832, kb_relative_information_score: 12943.2239, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9261, predictive_accuracy: 0.9252, prior_entropy: 0.9135, recall: 0.9252, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12715.0837, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9415, kappa: 0.8659, kb_relative_information_score: 12641.4684, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9367, kappa: 0.8558, kb_relative_information_score: 12803.9351, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9367, predictive_accuracy: 0.937, prior_entropy: 0.9135, recall: 0.937, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9415, kappa: 0.8659, kb_relative_information_score: 12635.9487, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9405, kappa: 0.8641, kb_relative_information_score: 12682.8194, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9135, recall: 0.9411, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9321, kappa: 0.8463, kb_relative_information_score: 12944.1142, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9135, recall: 0.9321, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9327, kappa: 0.8478, kb_relative_information_score: 13052.4329, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9329, predictive_accuracy: 0.9326, prior_entropy: 0.9135, recall: 0.9326, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9365, kappa: 0.8554, kb_relative_information_score: 12802.5462, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9365, predictive_accuracy: 0.9368, prior_entropy: 0.9135, recall: 0.9368, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9336, kappa: 0.8492, kb_relative_information_score: 12866.6882, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9335, predictive_accuracy: 0.9338, prior_entropy: 0.9135, recall: 0.9338, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9355, kappa: 0.8531, kb_relative_information_score: 12740.8093, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9355, predictive_accuracy: 0.9358, prior_entropy: 0.9135, recall: 0.9358, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9405, kappa: 0.8641, kb_relative_information_score: 12676.9469, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9135, recall: 0.9411, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9418, kappa: 0.8667, kb_relative_information_score: 12654.3512, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9417, kappa: 0.8664, kb_relative_information_score: 12629.2044, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9374, kappa: 0.8573, kb_relative_information_score: 12856.9077, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9374, predictive_accuracy: 0.9377, prior_entropy: 0.9135, recall: 0.9377, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.932, kappa: 0.8459, kb_relative_information_score: 12945.9357, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 0.9135, recall: 0.932, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9416, kappa: 0.8663, kb_relative_information_score: 12651.8732, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9423, prior_entropy: 0.9135, recall: 0.9423, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9417, kappa: 0.8664, kb_relative_information_score: 12652.6179, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9342, kappa: 0.8503, kb_relative_information_score: 12878.6634, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9341, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9318, kappa: 0.8454, kb_relative_information_score: 12937.5496, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9318, predictive_accuracy: 0.9318, prior_entropy: 0.9135, recall: 0.9318, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9416, kappa: 0.8665, kb_relative_information_score: 12715.0807, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.9423, prior_entropy: 0.9135, recall: 0.9423, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9394, kappa: 0.8616, kb_relative_information_score: 12765.3537, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9135, recall: 0.9399, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9346, kappa: 0.8514, kb_relative_information_score: 12851.0545, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9345, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.225, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9379, kappa: 0.8585, kb_relative_information_score: 12841.2607, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.938, predictive_accuracy: 0.9383, prior_entropy: 0.9135, recall: 0.9383, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9389, kappa: 0.8606, kb_relative_information_score: 12754.4719, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9392, predictive_accuracy: 0.9394, prior_entropy: 0.9135, recall: 0.9394, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9397, kappa: 0.8622, kb_relative_information_score: 12765.676, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9402, prior_entropy: 0.9135, recall: 0.9402, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9375, kappa: 0.8574, kb_relative_information_score: 12737.0472, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9377, predictive_accuracy: 0.9379, prior_entropy: 0.9135, recall: 0.9379, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9419, kappa: 0.8671, kb_relative_information_score: 12741.1302, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9419, kappa: 0.8671, kb_relative_information_score: 12693.1654, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9418, kappa: 0.8667, kb_relative_information_score: 12658.3087, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9403, kappa: 0.8635, kb_relative_information_score: 12675.2579, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9135, recall: 0.9409, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9413, kappa: 0.8655, kb_relative_information_score: 12634.939, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9418, kappa: 0.8668, kb_relative_information_score: 12736.3533, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9324, kappa: 0.847, kb_relative_information_score: 13013.2473, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9325, predictive_accuracy: 0.9323, prior_entropy: 0.9135, recall: 0.9323, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12678.0891, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9419, kappa: 0.8671, kb_relative_information_score: 12744.7686, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9415, kappa: 0.8661, kb_relative_information_score: 12627.0909, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9423, prior_entropy: 0.9135, recall: 0.9423, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9417, kappa: 0.8664, kb_relative_information_score: 12654.6015, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9354, kappa: 0.8528, kb_relative_information_score: 12758.9802, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9354, predictive_accuracy: 0.9357, prior_entropy: 0.9135, recall: 0.9357, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9366, kappa: 0.8555, kb_relative_information_score: 12830.2195, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9367, predictive_accuracy: 0.937, prior_entropy: 0.9135, recall: 0.937, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9319, kappa: 0.8454, kb_relative_information_score: 12863.6001, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9318, predictive_accuracy: 0.9319, prior_entropy: 0.9135, recall: 0.9319, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9326, kappa: 0.8471, kb_relative_information_score: 12940.647, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9325, predictive_accuracy: 0.9326, prior_entropy: 0.9135, recall: 0.9326, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9384, kappa: 0.8595, kb_relative_information_score: 12809.2736, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9386, predictive_accuracy: 0.9388, prior_entropy: 0.9135, recall: 0.9388, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12714.2268, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9381, kappa: 0.8587, kb_relative_information_score: 12813.371, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9135, recall: 0.9385, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9429, kappa: 0.8692, kb_relative_information_score: 12702.6831, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.944, predictive_accuracy: 0.9436, prior_entropy: 0.9135, recall: 0.9436, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9348, kappa: 0.8517, kb_relative_information_score: 12838.9694, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9348, predictive_accuracy: 0.9351, prior_entropy: 0.9135, recall: 0.9351, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9331, kappa: 0.8482, kb_relative_information_score: 12924.4472, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 0.9135, recall: 0.9332, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9393, kappa: 0.8614, kb_relative_information_score: 12781.5401, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9395, predictive_accuracy: 0.9397, prior_entropy: 0.9135, recall: 0.9397, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9291, kappa: 0.8397, kb_relative_information_score: 12966.8893, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9293, predictive_accuracy: 0.929, prior_entropy: 0.9135, recall: 0.929, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9418, kappa: 0.8667, kb_relative_information_score: 12654.3802, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9306, kappa: 0.843, kb_relative_information_score: 12957.2291, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9307, predictive_accuracy: 0.9305, prior_entropy: 0.9135, recall: 0.9305, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9417, kappa: 0.8664, kb_relative_information_score: 12654.9853, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9415, kappa: 0.8659, kb_relative_information_score: 12638.2634, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9414, kappa: 0.8658, kb_relative_information_score: 12625.2762, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9385, kappa: 0.8595, kb_relative_information_score: 12703.5659, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.939, predictive_accuracy: 0.9391, prior_entropy: 0.9135, recall: 0.9391, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9375, kappa: 0.8574, kb_relative_information_score: 12742.2531, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9377, predictive_accuracy: 0.9379, prior_entropy: 0.9135, recall: 0.9379, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9378, kappa: 0.8582, kb_relative_information_score: 12842.1769, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9379, predictive_accuracy: 0.9382, prior_entropy: 0.9135, recall: 0.9382, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12691.9413, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9295, kappa: 0.8405, kb_relative_information_score: 12891.508, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 0.9135, recall: 0.9294, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9397, kappa: 0.8624, kb_relative_information_score: 12770.3323, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9402, prior_entropy: 0.9135, recall: 0.9402, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9429, kappa: 0.8693, kb_relative_information_score: 12704.9986, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9441, predictive_accuracy: 0.9436, prior_entropy: 0.9135, recall: 0.9436, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9423, kappa: 0.8678, kb_relative_information_score: 12742.6629, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9433, predictive_accuracy: 0.9429, prior_entropy: 0.9135, recall: 0.9429, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9363, kappa: 0.855, kb_relative_information_score: 12799.5886, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9363, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.932, kappa: 0.8457, kb_relative_information_score: 12878.6883, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9319, predictive_accuracy: 0.9321, prior_entropy: 0.9135, recall: 0.9321, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9247, kappa: 0.8303, kb_relative_information_score: 12966.0295, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9255, predictive_accuracy: 0.9243, prior_entropy: 0.9135, recall: 0.9243, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9379, kappa: 0.8585, kb_relative_information_score: 12793.7276, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9381, predictive_accuracy: 0.9384, prior_entropy: 0.9135, recall: 0.9384, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9392, kappa: 0.8612, kb_relative_information_score: 12778.0236, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9395, predictive_accuracy: 0.9397, prior_entropy: 0.9135, recall: 0.9397, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9347, kappa: 0.8515, kb_relative_information_score: 12886.7292, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9346, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9384, kappa: 0.8596, kb_relative_information_score: 12808.4876, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9387, predictive_accuracy: 0.9389, prior_entropy: 0.9135, recall: 0.9389, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9395, kappa: 0.8619, kb_relative_information_score: 12764.0608, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.94, prior_entropy: 0.9135, recall: 0.94, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9412, kappa: 0.8653, kb_relative_information_score: 12630.3109, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9396, kappa: 0.8623, kb_relative_information_score: 12762.2276, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9401, prior_entropy: 0.9135, recall: 0.9401, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9417, kappa: 0.8664, kb_relative_information_score: 12654.8508, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9255, kappa: 0.832, kb_relative_information_score: 13002.1004, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9262, predictive_accuracy: 0.9251, prior_entropy: 0.9135, recall: 0.9251, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.934, kappa: 0.85, kb_relative_information_score: 12881.3116, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.934, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9333, kappa: 0.8486, kb_relative_information_score: 12924.98, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9332, predictive_accuracy: 0.9334, prior_entropy: 0.9135, recall: 0.9334, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9392, kappa: 0.8612, kb_relative_information_score: 12780.4602, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9395, predictive_accuracy: 0.9397, prior_entropy: 0.9135, recall: 0.9397, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9429, kappa: 0.8692, kb_relative_information_score: 12697.5534, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9441, predictive_accuracy: 0.9436, prior_entropy: 0.9135, recall: 0.9436, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9332, kappa: 0.8484, kb_relative_information_score: 12899.576, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9332, predictive_accuracy: 0.9334, prior_entropy: 0.9135, recall: 0.9334, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9318, kappa: 0.8452, kb_relative_information_score: 12843.4315, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9317, predictive_accuracy: 0.9319, prior_entropy: 0.9135, recall: 0.9319, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9348, kappa: 0.8519, kb_relative_information_score: 12900.7942, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9347, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9339, kappa: 0.8499, kb_relative_information_score: 12861.7796, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9339, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9337, kappa: 0.8493, kb_relative_information_score: 12836.4406, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9336, predictive_accuracy: 0.9339, prior_entropy: 0.9135, recall: 0.9339, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9419, kappa: 0.8672, kb_relative_information_score: 12680.5832, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9406, kappa: 0.8642, kb_relative_information_score: 12745.5671, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9413, predictive_accuracy: 0.9412, prior_entropy: 0.9135, recall: 0.9412, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9364, kappa: 0.8552, kb_relative_information_score: 12792.2924, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9365, predictive_accuracy: 0.9368, prior_entropy: 0.9135, recall: 0.9368, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9329, kappa: 0.8481, kb_relative_information_score: 13010.3621, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.933, predictive_accuracy: 0.9329, prior_entropy: 0.9135, recall: 0.9329, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12680.359, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9337, kappa: 0.8496, kb_relative_information_score: 12924.742, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9337, predictive_accuracy: 0.9339, prior_entropy: 0.9135, recall: 0.9339, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9363, kappa: 0.855, kb_relative_information_score: 12743.2338, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9364, predictive_accuracy: 0.9367, prior_entropy: 0.9135, recall: 0.9367, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9376, kappa: 0.8578, kb_relative_information_score: 12854.9613, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9376, predictive_accuracy: 0.9379, prior_entropy: 0.9135, recall: 0.9379, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9374, kappa: 0.8573, kb_relative_information_score: 12840.0681, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.9135, recall: 0.9378, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4637,

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