Task
Supervised Classification on cpu_act

Supervised Classification on cpu_act

Task 3627 Supervised Classification cpu_act 559 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9147, kappa: 0.7957, kb_relative_information_score: 5914.9847, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9148, predictive_accuracy: 0.9156, prior_entropy: 0.8842, recall: 0.9156, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9354, kappa: 0.8451, kb_relative_information_score: 6336.8649, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9359, predictive_accuracy: 0.9362, prior_entropy: 0.8842, recall: 0.9362, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8974, kappa: 0.7552, kb_relative_information_score: 5310.9145, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8971, predictive_accuracy: 0.8981, prior_entropy: 0.8842, recall: 0.8981, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9255, kappa: 0.8222, kb_relative_information_score: 6108.8891, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9255, predictive_accuracy: 0.9261, prior_entropy: 0.8842, recall: 0.9261, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8772, kappa: 0.6985, kb_relative_information_score: 5103.6282, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8952, predictive_accuracy: 0.8849, prior_entropy: 0.8842, recall: 0.8849, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.326, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.927, kappa: 0.825, kb_relative_information_score: 6362.6819, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9276, predictive_accuracy: 0.928, prior_entropy: 0.8842, recall: 0.928, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.929, kappa: 0.8311, kb_relative_information_score: 6716.1964, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9289, predictive_accuracy: 0.9293, prior_entropy: 0.8842, recall: 0.9293, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8952, kappa: 0.75, kb_relative_information_score: 5576.0457, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8949, predictive_accuracy: 0.8959, prior_entropy: 0.8842, recall: 0.8959, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8126, kappa: 0.5387, kb_relative_information_score: 4577.7359, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8296, predictive_accuracy: 0.8267, prior_entropy: 0.8842, recall: 0.8267, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.8036, kappa: 0.5267, kb_relative_information_score: 4064.7588, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8025, predictive_accuracy: 0.8077, prior_entropy: 0.8842, recall: 0.8077, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9066, kappa: 0.7763, kb_relative_information_score: 6257.9334, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9066, predictive_accuracy: 0.9076, prior_entropy: 0.8842, recall: 0.9076, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.906, kappa: 0.775, kb_relative_information_score: 6249.3846, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.906, predictive_accuracy: 0.907, prior_entropy: 0.8842, recall: 0.907, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9295, kappa: 0.8308, kb_relative_information_score: 6337.0718, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9301, predictive_accuracy: 0.9304, prior_entropy: 0.8842, recall: 0.9304, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9233, kappa: 0.8167, kb_relative_information_score: 6594.3656, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9233, predictive_accuracy: 0.924, prior_entropy: 0.8842, recall: 0.924, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9311, kappa: 0.8357, kb_relative_information_score: 6317.4694, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9311, predictive_accuracy: 0.9316, prior_entropy: 0.8842, recall: 0.9316, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9299, kappa: 0.8321, kb_relative_information_score: 5687.3868, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9302, predictive_accuracy: 0.9307, prior_entropy: 0.8842, recall: 0.9307, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5734, kb_relative_information_score: -0.3142, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4593, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9276, kappa: 0.8268, kb_relative_information_score: 6358.2271, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9278, predictive_accuracy: 0.9283, prior_entropy: 0.8842, recall: 0.9283, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.925, kappa: 0.8208, kb_relative_information_score: 6291.0529, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9252, predictive_accuracy: 0.9258, prior_entropy: 0.8842, recall: 0.9258, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.922, kappa: 0.8131, kb_relative_information_score: 6226.004, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.923, prior_entropy: 0.8842, recall: 0.923, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9175, kappa: 0.8023, kb_relative_information_score: 6498.0181, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9179, predictive_accuracy: 0.9186, prior_entropy: 0.8842, recall: 0.9186, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9184, kappa: 0.8053, kb_relative_information_score: 6340.595, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9183, predictive_accuracy: 0.9191, prior_entropy: 0.8842, recall: 0.9191, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8952, kappa: 0.7502, kb_relative_information_score: 6022.0272, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8949, predictive_accuracy: 0.8959, prior_entropy: 0.8842, recall: 0.8959, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9253, kappa: 0.8214, kb_relative_information_score: 6419.1055, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9253, predictive_accuracy: 0.9259, prior_entropy: 0.8842, recall: 0.9259, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8869, kappa: 0.7307, kb_relative_information_score: 5829.1883, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8865, predictive_accuracy: 0.8873, prior_entropy: 0.8842, recall: 0.8873, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.9146, kappa: 0.7956, kb_relative_information_score: 6434.5457, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9147, predictive_accuracy: 0.9155, prior_entropy: 0.8842, recall: 0.9155, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9376, kappa: 0.8512, kb_relative_information_score: 6253.7705, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9376, predictive_accuracy: 0.938, prior_entropy: 0.8842, recall: 0.938, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8944, kappa: 0.7482, kb_relative_information_score: 5995.3546, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8941, predictive_accuracy: 0.895, prior_entropy: 0.8842, recall: 0.895, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9157, kappa: 0.7977, kb_relative_information_score: 6465.0124, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9164, predictive_accuracy: 0.917, prior_entropy: 0.8842, recall: 0.917, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9184, kappa: 0.8053, kb_relative_information_score: 6340.595, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9183, predictive_accuracy: 0.9191, prior_entropy: 0.8842, recall: 0.9191, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8768, kappa: 0.7197, kb_relative_information_score: 5509.1573, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8904, predictive_accuracy: 0.8734, prior_entropy: 0.8842, recall: 0.8734, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8952, kappa: 0.75, kb_relative_information_score: 6024.0016, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8949, predictive_accuracy: 0.8959, prior_entropy: 0.8842, recall: 0.8959, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9165, kappa: 0.8016, kb_relative_information_score: 6457.3957, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9163, predictive_accuracy: 0.9166, prior_entropy: 0.8842, recall: 0.9166, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9165, kappa: 0.8016, kb_relative_information_score: 6457.3957, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9163, predictive_accuracy: 0.9166, prior_entropy: 0.8842, recall: 0.9166, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9165, kappa: 0.8016, kb_relative_information_score: 6457.3957, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9163, predictive_accuracy: 0.9166, prior_entropy: 0.8842, recall: 0.9166, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9165, kappa: 0.8016, kb_relative_information_score: 6457.3957, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9163, predictive_accuracy: 0.9166, prior_entropy: 0.8842, recall: 0.9166, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5734, kb_relative_information_score: 0.6694, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4593, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9274, kappa: 0.8282, kb_relative_information_score: 6103.4384, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9275, predictive_accuracy: 0.9274, prior_entropy: 0.8842, recall: 0.9274, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.9063, kappa: 0.7781, kb_relative_information_score: 6239.0508, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9064, predictive_accuracy: 0.9061, prior_entropy: 0.8842, recall: 0.9061, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8111, kappa: 0.5582, kb_relative_information_score: 4218.0903, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.809, prior_entropy: 0.8842, recall: 0.809, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9517, scimark_benchmark: 1631.1992, usercpu_time_millis: 217812.5, usercpu_time_millis_testing: 734.375, usercpu_time_millis_training: 217078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1697.6783, usercpu_time_millis: 12140.625, usercpu_time_millis_testing: 4015.625, usercpu_time_millis_training: 8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1862.8608, usercpu_time_millis: 93109.375, usercpu_time_millis_testing: 21500, usercpu_time_millis_training: 71609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1655.4497, usercpu_time_millis: 12840, usercpu_time_millis_testing: 3610, usercpu_time_millis_training: 9230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1619.8097, usercpu_time_millis: 144130, usercpu_time_millis_testing: 37880, usercpu_time_millis_training: 106250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8111, kappa: 0.5582, kb_relative_information_score: 4218.0903, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.809, prior_entropy: 0.8842, recall: 0.809, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9517, scimark_benchmark: 1689.7746, usercpu_time_millis: 205290, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 204560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9307, kappa: 0.8352, kb_relative_information_score: 6041.451, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9306, predictive_accuracy: 0.931, prior_entropy: 0.8842, recall: 0.931, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5299, scimark_benchmark: 1908.2191, usercpu_time_millis: 35671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 35656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.934, kappa: 0.8437, kb_relative_information_score: 6539.5036, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 0.8842, recall: 0.934, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4884, scimark_benchmark: 1908.2191, usercpu_time_millis: 38984.375, usercpu_time_millis_training: 38984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8918, kappa: 0.7388, kb_relative_information_score: 5992.7779, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8934, predictive_accuracy: 0.8943, prior_entropy: 0.8842, recall: 0.8943, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7079, scimark_benchmark: 1827.4462, usercpu_time_millis: 62421.875, usercpu_time_millis_testing: 703.125, usercpu_time_millis_training: 61718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.931, kappa: 0.8358, kb_relative_information_score: 6550.641, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9309, predictive_accuracy: 0.9313, prior_entropy: 0.8842, recall: 0.9313, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4915, scimark_benchmark: 1264.0602, usercpu_time_millis: 26920, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 26880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9288, kappa: 0.8316, kb_relative_information_score: 6320.4937, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.929, predictive_accuracy: 0.9286, prior_entropy: 0.8842, recall: 0.9286, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5011, scimark_benchmark: 1293.3306, usercpu_time_millis: 4718.75, usercpu_time_millis_training: 4718.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8952, kappa: 0.75, kb_relative_information_score: 6024.0016, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8949, predictive_accuracy: 0.8959, prior_entropy: 0.8842, recall: 0.8959, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6827, scimark_benchmark: 1156.8498, usercpu_time_millis: 240, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.92, kappa: 0.8096, kb_relative_information_score: 5781.6661, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9199, predictive_accuracy: 0.9204, prior_entropy: 0.8842, recall: 0.9204, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5578, scimark_benchmark: 1146.1391, usercpu_time_millis: 5250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9231, kappa: 0.8161, kb_relative_information_score: 6607.1906, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9232, predictive_accuracy: 0.9238, prior_entropy: 0.8842, recall: 0.9238, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6009, scimark_benchmark: 1618.1738, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9297, kappa: 0.8323, kb_relative_information_score: 6739.2131, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9296, predictive_accuracy: 0.9302, prior_entropy: 0.8842, recall: 0.9302, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5753, scimark_benchmark: 1618.1738, usercpu_time_millis: 484.375, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.937, kappa: 0.8499, kb_relative_information_score: 6382.2522, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4777, scimark_benchmark: 1744.8652, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9111, kappa: 0.7879, kb_relative_information_score: 6351.8045, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9109, predictive_accuracy: 0.9116, prior_entropy: 0.8842, recall: 0.9116, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6472, scimark_benchmark: 1744.8652, usercpu_time_millis: 3437.5, usercpu_time_millis_testing: 3375, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9191, kappa: 0.8071, kb_relative_information_score: 6099.4973, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.919, predictive_accuracy: 0.9197, prior_entropy: 0.8842, recall: 0.9197, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5245, scimark_benchmark: 1744.8652, usercpu_time_millis: 2859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9223, kappa: 0.8143, kb_relative_information_score: 6045.4771, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9223, predictive_accuracy: 0.923, prior_entropy: 0.8842, recall: 0.923, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5675, scimark_benchmark: 1744.8652, usercpu_time_millis: 1703.125, usercpu_time_millis_training: 1703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9129, kappa: 0.792, kb_relative_information_score: 5992.2128, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9129, predictive_accuracy: 0.9137, prior_entropy: 0.8842, recall: 0.9137, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.568, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9372, kappa: 0.8503, kb_relative_information_score: 6254.8783, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.8842, recall: 0.9376, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4671, scimark_benchmark: 1744.8652, usercpu_time_millis: 2828.125, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8772, kappa: 0.6985, kb_relative_information_score: 5103.6282, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8952, predictive_accuracy: 0.8849, prior_entropy: 0.8842, recall: 0.8849, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.326, root_relative_squared_error: 0.7099, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9179, kappa: 0.8039, kb_relative_information_score: 6330.4935, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9178, predictive_accuracy: 0.9186, prior_entropy: 0.8842, recall: 0.9186, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5889, scimark_benchmark: 1744.8652, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8952, kappa: 0.75, kb_relative_information_score: 6024.0016, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8949, predictive_accuracy: 0.8959, prior_entropy: 0.8842, recall: 0.8959, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6827, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9231, kappa: 0.8161, kb_relative_information_score: 6607.1906, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9232, predictive_accuracy: 0.9238, prior_entropy: 0.8842, recall: 0.9238, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6009, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9297, kappa: 0.8323, kb_relative_information_score: 6739.2131, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9296, predictive_accuracy: 0.9302, prior_entropy: 0.8842, recall: 0.9302, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5753, scimark_benchmark: 1744.8652, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9208, kappa: 0.8109, kb_relative_information_score: 5772.3695, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9208, predictive_accuracy: 0.9215, prior_entropy: 0.8842, recall: 0.9215, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5575, scimark_benchmark: 1744.8652, usercpu_time_millis: 3343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.937, kappa: 0.8499, kb_relative_information_score: 6382.2522, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4777, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9111, kappa: 0.7879, kb_relative_information_score: 6351.8045, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9109, predictive_accuracy: 0.9116, prior_entropy: 0.8842, recall: 0.9116, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6472, scimark_benchmark: 1744.8652, usercpu_time_millis: 3515.625, usercpu_time_millis_testing: 3453.125, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9191, kappa: 0.8071, kb_relative_information_score: 6099.4973, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.919, predictive_accuracy: 0.9197, prior_entropy: 0.8842, recall: 0.9197, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5245, scimark_benchmark: 1744.8652, usercpu_time_millis: 2687.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.9261, kappa: 0.824, kb_relative_information_score: 6119.8096, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.926, predictive_accuracy: 0.9265, prior_entropy: 0.8842, recall: 0.9265, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5519, scimark_benchmark: 1744.8652, usercpu_time_millis: 2031.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9125, kappa: 0.7909, kb_relative_information_score: 5996.0375, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9124, predictive_accuracy: 0.9132, prior_entropy: 0.8842, recall: 0.9132, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5679, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9362, kappa: 0.8479, kb_relative_information_score: 6254.2523, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.8842, recall: 0.9366, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4671, scimark_benchmark: 1744.8652, usercpu_time_millis: 4156.25, usercpu_time_millis_testing: 734.375, usercpu_time_millis_training: 3421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8772, kappa: 0.6985, kb_relative_information_score: 5103.6282, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8952, predictive_accuracy: 0.8849, prior_entropy: 0.8842, recall: 0.8849, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.326, root_relative_squared_error: 0.7099, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.918, kappa: 0.8042, kb_relative_information_score: 6333.9894, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.918, predictive_accuracy: 0.9187, prior_entropy: 0.8842, recall: 0.9187, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5879, scimark_benchmark: 1744.8652, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.937, kappa: 0.8499, kb_relative_information_score: 6382.2522, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.8842, recall: 0.9374, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4777, scimark_benchmark: 1327.5254, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9255, kappa: 0.8222, kb_relative_information_score: 6108.8891, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9255, predictive_accuracy: 0.9261, prior_entropy: 0.8842, recall: 0.9261, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5582, scimark_benchmark: 1834.908, usercpu_time_millis: 1453.125, usercpu_time_millis_training: 1453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9191, kappa: 0.8071, kb_relative_information_score: 6099.4973, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.919, predictive_accuracy: 0.9197, prior_entropy: 0.8842, recall: 0.9197, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5245, scimark_benchmark: 1788.6668, usercpu_time_millis: 2906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9199, kappa: 0.8089, kb_relative_information_score: 5774.9134, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9197, predictive_accuracy: 0.9204, prior_entropy: 0.8842, recall: 0.9204, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5587, scimark_benchmark: 1788.6668, usercpu_time_millis: 3187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9153, kappa: 0.7982, kb_relative_information_score: 6037.507, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9151, predictive_accuracy: 0.9158, prior_entropy: 0.8842, recall: 0.9158, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5311, scimark_benchmark: 1788.6668, usercpu_time_millis: 1765.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9206, kappa: 0.8103, kb_relative_information_score: 5973.275, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9207, predictive_accuracy: 0.9214, prior_entropy: 0.8842, recall: 0.9214, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5701, scimark_benchmark: 1788.6668, usercpu_time_millis: 875, usercpu_time_millis_training: 875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9278, kappa: 0.8287, kb_relative_information_score: 5957.6617, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9277, predictive_accuracy: 0.9279, prior_entropy: 0.8842, recall: 0.9279, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5134, scimark_benchmark: 1788.6668, usercpu_time_millis: 2500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9313, kappa: 0.836, kb_relative_information_score: 6260.7238, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9313, predictive_accuracy: 0.9318, prior_entropy: 0.8842, recall: 0.9318, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4908, scimark_benchmark: 1788.6668, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9157, kappa: 0.7977, kb_relative_information_score: 6465.0124, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9164, predictive_accuracy: 0.917, prior_entropy: 0.8842, recall: 0.917, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6273, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9231, kappa: 0.8161, kb_relative_information_score: 6607.1906, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9232, predictive_accuracy: 0.9238, prior_entropy: 0.8842, recall: 0.9238, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6009, scimark_benchmark: 1309.4092, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9227, kappa: 0.815, kb_relative_information_score: 6157.3925, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9228, predictive_accuracy: 0.9235, prior_entropy: 0.8842, recall: 0.9235, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5175, scimark_benchmark: 1860.4354, usercpu_time_millis: 6203.125, usercpu_time_millis_testing: 6109.375, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9031, kappa: 0.7748, kb_relative_information_score: 6188.2067, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9077, predictive_accuracy: 0.9015, prior_entropy: 0.8842, recall: 0.9015, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5792, scimark_benchmark: 1840.6094, usercpu_time_millis: 5406.25, usercpu_time_millis_testing: 5281.25, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9084, kappa: 0.7867, kb_relative_information_score: 6303.8548, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9121, predictive_accuracy: 0.9071, prior_entropy: 0.8842, recall: 0.9071, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5631, scimark_benchmark: 1840.6094, usercpu_time_millis: 5968.75, usercpu_time_millis_testing: 5968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9308, kappa: 0.8344, kb_relative_information_score: 6315.6875, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9312, predictive_accuracy: 0.9316, prior_entropy: 0.8842, recall: 0.9316, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4915, scimark_benchmark: 1873.1108, usercpu_time_millis: 12015.625, usercpu_time_millis_testing: 12015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.922, kappa: 0.8131, kb_relative_information_score: 6226.004, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.923, prior_entropy: 0.8842, recall: 0.923, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5249, scimark_benchmark: 1873.1108, usercpu_time_millis: 5156.25, usercpu_time_millis_testing: 5078.125, usercpu_time_millis_training: 78.125,

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