Task
Supervised Classification on autoUniv-au7-500

Supervised Classification on autoUniv-au7-500

Task 9903 Supervised Classification autoUniv-au7-500 573 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.4709, kappa: 0.3044, kb_relative_information_score: 145.0885, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4665, predictive_accuracy: 0.494, prior_entropy: 2.1516, recall: 0.494, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.3264, kappa: 0.1336, kb_relative_information_score: 65.3628, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2882, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.2868, kappa: 0.0811, kb_relative_information_score: 51.0983, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2286, predictive_accuracy: 0.39, prior_entropy: 2.1516, recall: 0.39, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.4725, kappa: 0.3089, kb_relative_information_score: 145.8406, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4633, predictive_accuracy: 0.504, prior_entropy: 2.1516, recall: 0.504, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.4708, kappa: 0.3062, kb_relative_information_score: 146.4023, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.461, predictive_accuracy: 0.502, prior_entropy: 2.1516, recall: 0.502, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.4844, kappa: 0.3248, kb_relative_information_score: 147.9005, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4791, predictive_accuracy: 0.514, prior_entropy: 2.1516, recall: 0.514, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.4489, kappa: 0.2632, kb_relative_information_score: 158.2507, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4551, predictive_accuracy: 0.444, prior_entropy: 2.1516, recall: 0.444, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.3445, kappa: 0.1595, kb_relative_information_score: 75.5746, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3102, predictive_accuracy: 0.422, prior_entropy: 2.1516, recall: 0.422, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4135, kappa: 0.2378, kb_relative_information_score: 108.6576, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3904, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.3183, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.4845, kappa: 0.3121, kb_relative_information_score: 172.4095, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4802, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.4709, kappa: 0.3044, kb_relative_information_score: 145.0885, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4665, predictive_accuracy: 0.494, prior_entropy: 2.1516, recall: 0.494, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.4388, kappa: 0.2744, kb_relative_information_score: 127.9057, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4171, predictive_accuracy: 0.476, prior_entropy: 2.1516, recall: 0.476, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.4518, kappa: 0.2669, kb_relative_information_score: 157.1124, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4543, predictive_accuracy: 0.45, prior_entropy: 2.1516, recall: 0.45, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.3183, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.4518, kappa: 0.2669, kb_relative_information_score: 157.1124, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4543, predictive_accuracy: 0.45, prior_entropy: 2.1516, recall: 0.45, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.2835, kappa: 0.0743, kb_relative_information_score: 48.8205, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.226, predictive_accuracy: 0.388, prior_entropy: 2.1516, recall: 0.388, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.4109, kappa: 0.241, kb_relative_information_score: 103.688, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3932, predictive_accuracy: 0.456, prior_entropy: 2.1516, recall: 0.456, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4135, kappa: 0.2378, kb_relative_information_score: 108.6576, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3904, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.3183, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.4845, kappa: 0.3121, kb_relative_information_score: 172.4095, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4802, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.4468, kappa: 0.2832, kb_relative_information_score: 132.4054, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.429, predictive_accuracy: 0.478, prior_entropy: 2.1516, recall: 0.478, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.3391, kappa: 0.1457, kb_relative_information_score: 66.9555, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3168, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.4629, kappa: 0.2831, kb_relative_information_score: 163.435, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4663, predictive_accuracy: 0.46, prior_entropy: 2.1516, recall: 0.46, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3254, kappa: 0.1328, kb_relative_information_score: 65.5527, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2878, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.486, kappa: 0.3143, kb_relative_information_score: 172.9295, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4813, predictive_accuracy: 0.492, prior_entropy: 2.1516, recall: 0.492, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3892, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.3354, kappa: 0.1346, kb_relative_information_score: 62.5952, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3394, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.4587, kappa: 0.2786, kb_relative_information_score: 160.3238, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.458, prior_entropy: 2.1516, recall: 0.458, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.4799, kappa: 0.3153, kb_relative_information_score: 147.8737, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4789, predictive_accuracy: 0.502, prior_entropy: 2.1516, recall: 0.502, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.4709, kappa: 0.3033, kb_relative_information_score: 144.8273, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4643, predictive_accuracy: 0.492, prior_entropy: 2.1516, recall: 0.492, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.5031, kappa: 0.3446, kb_relative_information_score: 163.341, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4953, predictive_accuracy: 0.522, prior_entropy: 2.1516, recall: 0.522, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.3183, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.4309, kappa: 0.2664, kb_relative_information_score: 118.8455, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4101, predictive_accuracy: 0.47, prior_entropy: 2.1516, recall: 0.47, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.2835, kappa: 0.0743, kb_relative_information_score: 48.8205, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.226, predictive_accuracy: 0.388, prior_entropy: 2.1516, recall: 0.388, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.4629, kappa: 0.2831, kb_relative_information_score: 163.435, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4663, predictive_accuracy: 0.46, prior_entropy: 2.1516, recall: 0.46, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4135, kappa: 0.2378, kb_relative_information_score: 108.6576, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3904, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.3284, kappa: 0.1382, kb_relative_information_score: 66.0687, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2901, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4135, kappa: 0.2378, kb_relative_information_score: 108.6576, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3904, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.465, kappa: 0.2895, kb_relative_information_score: 153.338, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4596, predictive_accuracy: 0.486, prior_entropy: 2.1516, recall: 0.486, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.4838, kappa: 0.317, kb_relative_information_score: 156.0834, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4761, predictive_accuracy: 0.506, prior_entropy: 2.1516, recall: 0.506, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.4629, kappa: 0.2831, kb_relative_information_score: 163.435, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4663, predictive_accuracy: 0.46, prior_entropy: 2.1516, recall: 0.46, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.4468, kappa: 0.2832, kb_relative_information_score: 132.4054, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.429, predictive_accuracy: 0.478, prior_entropy: 2.1516, recall: 0.478, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.3749, kappa: 0.1982, kb_relative_information_score: 86.9604, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4149, predictive_accuracy: 0.446, prior_entropy: 2.1516, recall: 0.446, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.3065, kappa: 0.0928, kb_relative_information_score: 51.1003, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2887, predictive_accuracy: 0.392, prior_entropy: 2.1516, recall: 0.392, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.3065, kappa: 0.0928, kb_relative_information_score: 51.1003, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2887, predictive_accuracy: 0.392, prior_entropy: 2.1516, recall: 0.392, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.3816, kappa: 0.2053, kb_relative_information_score: 88.871, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3901, predictive_accuracy: 0.444, prior_entropy: 2.1516, recall: 0.444, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.4613, kappa: 0.283, kb_relative_information_score: 158.5562, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4592, predictive_accuracy: 0.464, prior_entropy: 2.1516, recall: 0.464, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.4337, kappa: 0.2809, kb_relative_information_score: 120.4253, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4148, predictive_accuracy: 0.488, prior_entropy: 2.1516, recall: 0.488, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.3264, kappa: 0.1336, kb_relative_information_score: 65.3628, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2882, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.4709, kappa: 0.3033, kb_relative_information_score: 144.8273, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4643, predictive_accuracy: 0.492, prior_entropy: 2.1516, recall: 0.492, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.4052, kappa: 0.2235, kb_relative_information_score: 103.7348, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3901, predictive_accuracy: 0.442, prior_entropy: 2.1516, recall: 0.442, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.3255, kappa: 0.1205, kb_relative_information_score: 61.7662, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2986, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.5011, kappa: 0.3396, kb_relative_information_score: 166.9794, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.493, predictive_accuracy: 0.516, prior_entropy: 2.1516, recall: 0.516, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.4845, kappa: 0.3121, kb_relative_information_score: 172.4095, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4802, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.4629, kappa: 0.2831, kb_relative_information_score: 163.435, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4663, predictive_accuracy: 0.46, prior_entropy: 2.1516, recall: 0.46, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.4754, kappa: 0.3164, kb_relative_information_score: 144.3496, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4754, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.4738, kappa: 0.3075, kb_relative_information_score: 144.9419, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4676, predictive_accuracy: 0.496, prior_entropy: 2.1516, recall: 0.496, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.3264, kappa: 0.1336, kb_relative_information_score: 65.3628, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2882, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.5006, kappa: 0.3364, kb_relative_information_score: 166.9919, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4945, predictive_accuracy: 0.514, prior_entropy: 2.1516, recall: 0.514, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.6729, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.3808, kappa: 0.2059, kb_relative_information_score: 89.7797, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4174, predictive_accuracy: 0.448, prior_entropy: 2.1516, recall: 0.448, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.3304, kappa: 0.1431, kb_relative_information_score: 65.5871, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2923, predictive_accuracy: 0.408, prior_entropy: 2.1516, recall: 0.408, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.3264, kappa: 0.1336, kb_relative_information_score: 65.3628, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2882, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.413, kappa: 0.2369, kb_relative_information_score: 107.0684, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3901, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.2195, kappa: -0, kb_relative_information_score: 4.7367, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1843, predictive_accuracy: 0.38, prior_entropy: 2.1516, recall: 0.38, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3872, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.4707, kappa: 0.2956, kb_relative_information_score: 155.8304, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4648, predictive_accuracy: 0.482, prior_entropy: 2.1516, recall: 0.482, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.3801, kappa: 0.2008, kb_relative_information_score: 90.2175, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.366, predictive_accuracy: 0.44, prior_entropy: 2.1516, recall: 0.44, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.377, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3254, kappa: 0.1328, kb_relative_information_score: 65.5527, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2878, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.4103, kappa: 0.237, kb_relative_information_score: 104.5025, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3892, predictive_accuracy: 0.454, prior_entropy: 2.1516, recall: 0.454, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.3864, kappa: 0.198, kb_relative_information_score: 96.186, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3653, predictive_accuracy: 0.436, prior_entropy: 2.1516, recall: 0.436, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3028, kappa: 0.1045, kb_relative_information_score: 59.234, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.253, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.3035, kappa: 0.0849, kb_relative_information_score: 46.2151, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2878, predictive_accuracy: 0.394, prior_entropy: 2.1516, recall: 0.394, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9958,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs