OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16997 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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16997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, kappa: 0.218, kb_relative_information_score: 3.2075, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.248, prior_entropy: 4.7004, recall: 0.248, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9339, kappa: 0.9313, kb_relative_information_score: 6914.2104, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9342, predictive_accuracy: 0.9339, prior_entropy: 4.7004, recall: 0.9339, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.919, kappa: 0.9161, kb_relative_information_score: 15.9656, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9214, predictive_accuracy: 0.9193, prior_entropy: 4.7004, recall: 0.9193, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9661, kappa: 0.9648, kb_relative_information_score: 7453.6384, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9663, predictive_accuracy: 0.9661, prior_entropy: 4.7004, recall: 0.9661, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.047, root_relative_squared_error: 0.2446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9277, kappa: 0.9248, kb_relative_information_score: 6989.8945, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9281, predictive_accuracy: 0.9277, prior_entropy: 4.7004, recall: 0.9277, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.5975, kappa: 0.5812, kb_relative_information_score: 3841.5752, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6379, predictive_accuracy: 0.5973, prior_entropy: 4.7004, recall: 0.5973, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9447, kappa: 0.9425, kb_relative_information_score: 6951.3784, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.945, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9427, kappa: 0.9405, kb_relative_information_score: 6918.1345, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.943, predictive_accuracy: 0.9428, prior_entropy: 4.7004, recall: 0.9428, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9764, kappa: 0.9755, kb_relative_information_score: 7531.1409, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 4.7004, recall: 0.9764, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9402, kappa: 0.9378, kb_relative_information_score: 6956.6318, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 4.7004, recall: 0.9402, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9278, kappa: 0.9249, kb_relative_information_score: 6658.8611, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9282, predictive_accuracy: 0.9278, prior_entropy: 4.7004, recall: 0.9278, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.4481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9369, kappa: 0.9344, kb_relative_information_score: 6900.7564, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9372, predictive_accuracy: 0.9369, prior_entropy: 4.7004, recall: 0.9369, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.929, kappa: 0.9262, kb_relative_information_score: 6908.2308, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9295, predictive_accuracy: 0.9291, prior_entropy: 4.7004, recall: 0.9291, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9405, kappa: 0.9382, kb_relative_information_score: 6884.4745, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9408, predictive_accuracy: 0.9406, prior_entropy: 4.7004, recall: 0.9406, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.921, kappa: 0.9178, kb_relative_information_score: 6907.5545, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 4.7004, recall: 0.921, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9285, kappa: 0.9257, kb_relative_information_score: 6932.5668, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.929, predictive_accuracy: 0.9286, prior_entropy: 4.7004, recall: 0.9286, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9163, kappa: 0.9129, kb_relative_information_score: 6713.3067, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9169, predictive_accuracy: 0.9162, prior_entropy: 4.7004, recall: 0.9162, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9407, kappa: 0.9384, kb_relative_information_score: 6984.3, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 4.7004, recall: 0.9407, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9463, kappa: 0.9442, kb_relative_information_score: 7342.0425, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 4.7004, recall: 0.9464, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.2953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9178, kappa: 0.9145, kb_relative_information_score: 6921.3581, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9184, predictive_accuracy: 0.9178, prior_entropy: 4.7004, recall: 0.9178, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9145, kappa: 0.911, kb_relative_information_score: 6872.9023, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.915, predictive_accuracy: 0.9145, prior_entropy: 4.7004, recall: 0.9145, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9229, kappa: 0.9198, kb_relative_information_score: 6998.1846, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9234, predictive_accuracy: 0.9229, prior_entropy: 4.7004, recall: 0.9229, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.3865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.0211, kappa: -0.0166, kb_relative_information_score: 441.0478, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0443, predictive_accuracy: 0.0224, prior_entropy: 4.7004, recall: 0.0224, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9189, kappa: 0.9157, kb_relative_information_score: 6729.0215, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9197, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.084, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9236, kappa: 0.9205, kb_relative_information_score: 6860.4997, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9241, predictive_accuracy: 0.9236, prior_entropy: 4.7004, recall: 0.9236, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9023, kappa: 0.8984, kb_relative_information_score: 6917.2896, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.903, predictive_accuracy: 0.9023, prior_entropy: 4.7004, recall: 0.9023, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, kappa: 0.2651, kb_relative_information_score: 2204.4069, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2933, prior_entropy: 4.7004, recall: 0.2933, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.4718, kappa: 0.4711, kb_relative_information_score: 2.7192, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5307, predictive_accuracy: 0.4915, prior_entropy: 4.7004, recall: 0.4915, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9392, kappa: 0.9368, kb_relative_information_score: 67.6379, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9394, predictive_accuracy: 0.9392, prior_entropy: 4.7004, recall: 0.9392, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9064, kappa: 0.9026, kb_relative_information_score: 6745.1031, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9071, predictive_accuracy: 0.9064, prior_entropy: 4.7004, recall: 0.9064, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, kappa: 0.2736, kb_relative_information_score: 804.4098, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.3015, prior_entropy: 4.7004, recall: 0.3015, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.919, kappa: 0.9158, kb_relative_information_score: 6791.1996, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9196, predictive_accuracy: 0.9191, prior_entropy: 4.7004, recall: 0.9191, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.4252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9321, kappa: 0.9294, kb_relative_information_score: 6795.2641, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9325, predictive_accuracy: 0.9322, prior_entropy: 4.7004, recall: 0.9322, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.8879, kappa: 0.8833, kb_relative_information_score: 6837.2572, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8889, predictive_accuracy: 0.8878, prior_entropy: 4.7004, recall: 0.8878, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.925, kappa: 0.922, kb_relative_information_score: 6965.8453, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9255, predictive_accuracy: 0.925, prior_entropy: 4.7004, recall: 0.925, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8915, kappa: 0.8878, kb_relative_information_score: 6763.0495, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9012, predictive_accuracy: 0.8921, prior_entropy: 4.7004, recall: 0.8921, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, kappa: 0.4522, kb_relative_information_score: 8.4977, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.4733, prior_entropy: 4.7004, recall: 0.4733, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9265, kappa: 0.9236, kb_relative_information_score: 7032.7954, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9269, predictive_accuracy: 0.9265, prior_entropy: 4.7004, recall: 0.9265, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9377, kappa: 0.9352, kb_relative_information_score: 6950.5884, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.938, predictive_accuracy: 0.9377, prior_entropy: 4.7004, recall: 0.9377, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9139, kappa: 0.9104, kb_relative_information_score: 6826.5234, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9147, predictive_accuracy: 0.9138, prior_entropy: 4.7004, recall: 0.9138, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9128, kappa: 0.9093, kb_relative_information_score: 6773.8845, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9134, predictive_accuracy: 0.9128, prior_entropy: 4.7004, recall: 0.9128, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, kappa: 0.2717, kb_relative_information_score: 2239.3296, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2997, prior_entropy: 4.7004, recall: 0.2997, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9444, kappa: 0.9422, kb_relative_information_score: 6939.2207, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9446, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9575, kappa: 0.9557, kb_relative_information_score: 44.9635, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9577, predictive_accuracy: 0.9574, prior_entropy: 4.7004, recall: 0.9574, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9238, kappa: 0.9208, kb_relative_information_score: 6957.189, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9242, predictive_accuracy: 0.9238, prior_entropy: 4.7004, recall: 0.9238, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8959, kappa: 0.8917, kb_relative_information_score: 6732.8779, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.897, predictive_accuracy: 0.8959, prior_entropy: 4.7004, recall: 0.8959, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9284, kappa: 0.9256, kb_relative_information_score: 6794.5085, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9287, predictive_accuracy: 0.9284, prior_entropy: 4.7004, recall: 0.9284, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9197, kappa: 0.9165, kb_relative_information_score: 6726.7433, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9201, predictive_accuracy: 0.9197, prior_entropy: 4.7004, recall: 0.9197, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8609, kappa: 0.8553, kb_relative_information_score: 6738.1254, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8622, predictive_accuracy: 0.8608, prior_entropy: 4.7004, recall: 0.8608, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8956, kappa: 0.8913, kb_relative_information_score: 6920.805, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8962, predictive_accuracy: 0.8955, prior_entropy: 4.7004, recall: 0.8955, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.08, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.7809, kappa: 0.7734, kb_relative_information_score: 6392.1589, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7849, predictive_accuracy: 0.7821, prior_entropy: 4.7004, recall: 0.7821, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.6341, kappa: 0.6439, kb_relative_information_score: 7.5509, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6661, predictive_accuracy: 0.6576, prior_entropy: 4.7004, recall: 0.6576, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9217, kappa: 0.9186, kb_relative_information_score: 31.1629, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9226, predictive_accuracy: 0.9218, prior_entropy: 4.7004, recall: 0.9218, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9174, kappa: 0.9141, kb_relative_information_score: 6972.9623, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9179, predictive_accuracy: 0.9174, prior_entropy: 4.7004, recall: 0.9174, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.5033, kappa: 0.5362, kb_relative_information_score: 8.1933, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5649, predictive_accuracy: 0.5541, prior_entropy: 4.7004, recall: 0.5541, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8394, kappa: 0.8326, kb_relative_information_score: 6732.581, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8426, predictive_accuracy: 0.839, prior_entropy: 4.7004, recall: 0.839, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.861, kappa: 0.8554, kb_relative_information_score: 6730.4734, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8623, predictive_accuracy: 0.861, prior_entropy: 4.7004, recall: 0.861, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9054, kappa: 0.9014, kb_relative_information_score: 7054.3216, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9077, predictive_accuracy: 0.9052, prior_entropy: 4.7004, recall: 0.9052, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9346, kappa: 0.932, kb_relative_information_score: 59.2057, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9349, predictive_accuracy: 0.9346, prior_entropy: 4.7004, recall: 0.9346, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9435, kappa: 0.9413, kb_relative_information_score: 7037.9204, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9437, predictive_accuracy: 0.9436, prior_entropy: 4.7004, recall: 0.9436, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.7587, kappa: 0.7606, kb_relative_information_score: 5.8948, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.791, predictive_accuracy: 0.7698, prior_entropy: 4.7004, recall: 0.7698, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.7038, kappa: 0.7067, kb_relative_information_score: 7.024, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.727, predictive_accuracy: 0.718, prior_entropy: 4.7004, recall: 0.718, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9405, kappa: 0.9382, kb_relative_information_score: 16.1759, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9411, predictive_accuracy: 0.9406, prior_entropy: 4.7004, recall: 0.9406, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9484, kappa: 0.9464, kb_relative_information_score: 26.5355, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.949, predictive_accuracy: 0.9484, prior_entropy: 4.7004, recall: 0.9484, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.928, kappa: 0.9252, kb_relative_information_score: 6862.8341, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9284, predictive_accuracy: 0.928, prior_entropy: 4.7004, recall: 0.928, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9351, kappa: 0.9325, kb_relative_information_score: 6980.1521, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9354, predictive_accuracy: 0.9351, prior_entropy: 4.7004, recall: 0.9351, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9453, kappa: 0.9432, kb_relative_information_score: 30.6012, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9458, predictive_accuracy: 0.9454, prior_entropy: 4.7004, recall: 0.9454, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9293, kappa: 0.9265, kb_relative_information_score: 6880.6646, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9296, predictive_accuracy: 0.9293, prior_entropy: 4.7004, recall: 0.9293, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8797, kappa: 0.8764, kb_relative_information_score: 8.8585, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8874, predictive_accuracy: 0.8811, prior_entropy: 4.7004, recall: 0.8811, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9137, kappa: 0.9102, kb_relative_information_score: 6832.4856, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9144, predictive_accuracy: 0.9137, prior_entropy: 4.7004, recall: 0.9137, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9284, kappa: 0.9254, kb_relative_information_score: 11.068, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9293, predictive_accuracy: 0.9283, prior_entropy: 4.7004, recall: 0.9283, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9711, kappa: 0.97, kb_relative_information_score: 7486.2857, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9712, predictive_accuracy: 0.9711, prior_entropy: 4.7004, recall: 0.9711, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9108, kappa: 0.9072, kb_relative_information_score: 7007.8719, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9114, predictive_accuracy: 0.9107, prior_entropy: 4.7004, recall: 0.9107, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9097, kappa: 0.9061, kb_relative_information_score: 6885.1148, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9103, predictive_accuracy: 0.9097, prior_entropy: 4.7004, recall: 0.9097, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9323, kappa: 0.9297, kb_relative_information_score: 25.2945, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9336, predictive_accuracy: 0.9324, prior_entropy: 4.7004, recall: 0.9324, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8738, kappa: 0.8697, kb_relative_information_score: 10.8186, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8793, predictive_accuracy: 0.8747, prior_entropy: 4.7004, recall: 0.8747, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9032, kappa: 0.8988, kb_relative_information_score: 6776.1175, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9056, predictive_accuracy: 0.9027, prior_entropy: 4.7004, recall: 0.9027, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.7607, kappa: 0.7492, kb_relative_information_score: 4464.0373, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7698, predictive_accuracy: 0.7589, prior_entropy: 4.7004, recall: 0.7589, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8889, kappa: 0.8832, kb_relative_information_score: 6703.336, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8959, predictive_accuracy: 0.8876, prior_entropy: 4.7004, recall: 0.8876, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9243, kappa: 0.9213, kb_relative_information_score: 6695.856, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9248, predictive_accuracy: 0.9243, prior_entropy: 4.7004, recall: 0.9243, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8963, kappa: 0.8921, kb_relative_information_score: 6905.7211, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8969, predictive_accuracy: 0.8962, prior_entropy: 4.7004, recall: 0.8962, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, kappa: 0.2362, kb_relative_information_score: 2153.7683, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.2656, prior_entropy: 4.7004, recall: 0.2656, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9309, kappa: 0.928, kb_relative_information_score: 7316.8501, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9317, predictive_accuracy: 0.9307, prior_entropy: 4.7004, recall: 0.9307, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9166, kappa: 0.9128, kb_relative_information_score: 7125.1314, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9204, predictive_accuracy: 0.9161, prior_entropy: 4.7004, recall: 0.9161, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.728, kappa: 0.7323, kb_relative_information_score: 4981.8395, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7943, predictive_accuracy: 0.7426, prior_entropy: 4.7004, recall: 0.7426, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.6215, kappa: 0.6337, kb_relative_information_score: 7.6279, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6652, predictive_accuracy: 0.6478, prior_entropy: 4.7004, recall: 0.6478, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9197, kappa: 0.9164, kb_relative_information_score: 7243.3317, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9203, predictive_accuracy: 0.9196, prior_entropy: 4.7004, recall: 0.9196, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9392, kappa: 0.9368, kb_relative_information_score: 7057.2355, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9396, predictive_accuracy: 0.9392, prior_entropy: 4.7004, recall: 0.9392, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9692, kappa: 0.968, kb_relative_information_score: 7473.0906, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 4.7004, recall: 0.9692, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.7341, kappa: 0.7363, kb_relative_information_score: 5020.758, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7962, predictive_accuracy: 0.7464, prior_entropy: 4.7004, recall: 0.7464, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9255, kappa: 0.9225, kb_relative_information_score: 6922.4112, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9258, predictive_accuracy: 0.9255, prior_entropy: 4.7004, recall: 0.9255, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8956, kappa: 0.892, kb_relative_information_score: 21.7323, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8971, predictive_accuracy: 0.8961, prior_entropy: 4.7004, recall: 0.8961, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9107, kappa: 0.9072, kb_relative_information_score: 6761.8779, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9115, predictive_accuracy: 0.9107, prior_entropy: 4.7004, recall: 0.9107, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.4334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9338, kappa: 0.9312, kb_relative_information_score: 6710.754, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.934, predictive_accuracy: 0.9338, prior_entropy: 4.7004, recall: 0.9338, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9118, kappa: 0.9082, kb_relative_information_score: 6840.6672, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9125, predictive_accuracy: 0.9118, prior_entropy: 4.7004, recall: 0.9118, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.95, kappa: 0.9478, kb_relative_information_score: 24.0585, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9505, predictive_accuracy: 0.9499, prior_entropy: 4.7004, recall: 0.9499, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9553, kappa: 0.9536, kb_relative_information_score: 57.1445, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9555, predictive_accuracy: 0.9554, prior_entropy: 4.7004, recall: 0.9554, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9262, kappa: 0.9233, kb_relative_information_score: 6937.3982, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9266, predictive_accuracy: 0.9263, prior_entropy: 4.7004, recall: 0.9263, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.961, kappa: 0.9595, kb_relative_information_score: 55.3414, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 4.7004, recall: 0.961, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.878, kappa: 0.8746, kb_relative_information_score: 8.7264, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8853, predictive_accuracy: 0.8794, prior_entropy: 4.7004, recall: 0.8794, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,

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