Task
Supervised Classification on pwLinear

Supervised Classification on pwLinear

Task 3587 Supervised Classification pwLinear 543 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8249, kappa: 0.6494, kb_relative_information_score: 117.6669, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8251, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 96.0667, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 135.4186, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 145.9287, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.855, kappa: 0.7097, kb_relative_information_score: 132.9966, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.89, kappa: 0.7799, kb_relative_information_score: 146.6208, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8902, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 124.6448, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8655, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 131.5204, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 122.6913, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.84, kappa: 0.6803, kb_relative_information_score: 121.1699, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8415, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 122.7721, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.83, kappa: 0.6599, kb_relative_information_score: 121.2671, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8698, kappa: 0.7393, kb_relative_information_score: 148.706, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8711, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2314, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.825, kappa: 0.6502, kb_relative_information_score: 103.6315, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8261, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.72, kappa: 0.4395, kb_relative_information_score: 43.7855, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9994, recall: 0.72, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7794, kappa: 0.5585, kb_relative_information_score: 97.0775, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7813, predictive_accuracy: 0.78, prior_entropy: 0.9994, recall: 0.78, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.6756, kappa: 0.3635, kb_relative_information_score: 36.1035, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7018, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8399, kappa: 0.6795, kb_relative_information_score: 114.3895, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8446, kappa: 0.6891, kb_relative_information_score: 135.1974, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8464, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8849, kappa: 0.7696, kb_relative_information_score: 135.1849, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8852, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.84, kappa: 0.6797, kb_relative_information_score: 79.5548, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.3501, kb_relative_information_score: -0.0687, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 119.4594, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8363, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7896, kappa: 0.5811, kb_relative_information_score: 110.0954, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.795, predictive_accuracy: 0.79, prior_entropy: 0.9994, recall: 0.79, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.825, kappa: 0.6498, kb_relative_information_score: 119.1136, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8251, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 109.5639, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.705, kappa: 0.4096, kb_relative_information_score: 47.413, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7051, predictive_accuracy: 0.705, prior_entropy: 0.9994, recall: 0.705, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 123.3177, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8699, kappa: 0.7396, kb_relative_information_score: 138.4069, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 107.9364, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.5552, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8348, kappa: 0.6692, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6897, kappa: 0.3787, kb_relative_information_score: 49.0096, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9994, recall: 0.69, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8699, kappa: 0.7396, kb_relative_information_score: 138.4069, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6897, kappa: 0.3787, kb_relative_information_score: 49.0096, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9994, recall: 0.69, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8699, kappa: 0.7395, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 5.7503, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8699, kappa: 0.7395, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 5.7503, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8699, kappa: 0.7395, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 5.7503, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8699, kappa: 0.7395, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 5.7503, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 132.7728, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8492, kappa: 0.6986, kb_relative_information_score: 105.2589, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8546, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.795, kappa: 0.5898, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7951, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 135.9159, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8004, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8246, kappa: 0.6489, kb_relative_information_score: 129.9083, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.837, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8599, kappa: 0.7194, kb_relative_information_score: 143.9261, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7487, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8246, kappa: 0.6489, kb_relative_information_score: 129.9083, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.837, scimark_benchmark: 1359.1343, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8599, kappa: 0.7194, kb_relative_information_score: 143.9261, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7487, scimark_benchmark: 1350.2676, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 135.9159, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8004, scimark_benchmark: 1582.9517, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 125.835, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1918.4916, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.825, kappa: 0.6496, kb_relative_information_score: 130.3382, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8205, scimark_benchmark: 1918.4916, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 1427.64, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8649, kappa: 0.7295, kb_relative_information_score: 142.9655, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8652, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6625, scimark_benchmark: 1301.1479, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8399, kappa: 0.6795, kb_relative_information_score: 132.7598, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7579, scimark_benchmark: 1871.4229, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6897, kappa: 0.3787, kb_relative_information_score: 49.0096, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9994, recall: 0.69, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743, scimark_benchmark: 1306.5761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8348, kappa: 0.6692, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8299, kappa: 0.6595, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 126.8067, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7506, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.85, kappa: 0.6997, kb_relative_information_score: 130.7362, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6529, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 138.3614, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7098, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 130.1741, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.875, kappa: 0.7503, kb_relative_information_score: 133.7491, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8771, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6585, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8041, kappa: 0.6084, kb_relative_information_score: 101.2987, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8081, predictive_accuracy: 0.805, prior_entropy: 0.9994, recall: 0.805, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7741, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 123.904, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.598, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 122.7721, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6907, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 136.5299, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.691, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6897, kappa: 0.3787, kb_relative_information_score: 49.0096, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9994, recall: 0.69, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8348, kappa: 0.6692, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8299, kappa: 0.6595, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 126.8066, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7506, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.85, kappa: 0.6997, kb_relative_information_score: 130.7362, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6529, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 138.3614, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7098, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 130.1741, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.885, kappa: 0.7701, kb_relative_information_score: 138.1417, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8861, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.641, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8041, kappa: 0.6084, kb_relative_information_score: 101.2987, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8081, predictive_accuracy: 0.805, prior_entropy: 0.9994, recall: 0.805, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7741, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8849, kappa: 0.7696, kb_relative_information_score: 123.7324, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8852, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6003, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 122.7721, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6907, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 136.5299, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.691, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.85, kappa: 0.6997, kb_relative_information_score: 130.7362, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6529, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8449, kappa: 0.6894, kb_relative_information_score: 130.1741, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 126.8067, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7506, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8187, kappa: 0.6382, kb_relative_information_score: 113.4675, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8257, predictive_accuracy: 0.82, prior_entropy: 0.9994, recall: 0.82, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7104, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.835, kappa: 0.6702, kb_relative_information_score: 107.4501, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8361, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7417, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.825, kappa: 0.6504, kb_relative_information_score: 108.5411, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.827, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7226, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8246, kappa: 0.6489, kb_relative_information_score: 114.953, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6908, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8348, kappa: 0.6692, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 897.5967, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.84, kappa: 0.6803, kb_relative_information_score: 121.1699, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8415, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7183, scimark_benchmark: 1311.9162, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.815, kappa: 0.6296, kb_relative_information_score: 110.2501, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9994, recall: 0.815, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7172, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8149, kappa: 0.6293, kb_relative_information_score: 117.1906, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8151, predictive_accuracy: 0.815, prior_entropy: 0.9994, recall: 0.815, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6898, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8239, kappa: 0.6483, kb_relative_information_score: 125.1636, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8299, predictive_accuracy: 0.825, prior_entropy: 0.9994, recall: 0.825, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6619, scimark_benchmark: 1840.6094,

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

OpenML bootcamp

From your own software

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

OpenML APIs