Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59790 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59790 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 0.5101, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7584, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 0.5101, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7584, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 0.6012, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 0.4439, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8322, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 0.6012, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 0.6741, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8496, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7299, kappa: 0.46, kb_relative_information_score: 0.3478, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 0.6741, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8496, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 0.5432, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 0.5432, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8349, kappa: 0.67, kb_relative_information_score: 0.6444, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8358, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8349, kappa: 0.67, kb_relative_information_score: 0.6444, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8358, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6711, kappa: 0.3423, kb_relative_information_score: 0.3257, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6712, predictive_accuracy: 0.6712, prior_entropy: 1, recall: 0.6712, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6711, kappa: 0.3423, kb_relative_information_score: 0.3257, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6712, predictive_accuracy: 0.6712, prior_entropy: 1, recall: 0.6712, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 0.5091, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 0.5091, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8246, kappa: 0.6492, kb_relative_information_score: 0.3514, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8247, predictive_accuracy: 0.8246, prior_entropy: 1, recall: 0.8246, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8246, kappa: 0.6492, kb_relative_information_score: 0.3514, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8247, predictive_accuracy: 0.8246, prior_entropy: 1, recall: 0.8246, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 0.6139, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.847, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 0.6139, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.847, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 0.5984, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8239, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 0.5984, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8239, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7879, kappa: 0.5762, kb_relative_information_score: 0.4406, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.789, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7879, kappa: 0.5762, kb_relative_information_score: 0.4406, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.789, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.5926, kappa: 0.1854, kb_relative_information_score: 0.1851, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5928, predictive_accuracy: 0.5927, prior_entropy: 1, recall: 0.5927, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.5926, kappa: 0.1854, kb_relative_information_score: 0.1851, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5928, predictive_accuracy: 0.5927, prior_entropy: 1, recall: 0.5927, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.783, kappa: 0.5662, kb_relative_information_score: 0.4673, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7834, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.783, kappa: 0.5662, kb_relative_information_score: 0.4673, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7834, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8208, kappa: 0.6415, kb_relative_information_score: 0.5225, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8208, predictive_accuracy: 0.8208, prior_entropy: 1, recall: 0.8208, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8208, kappa: 0.6415, kb_relative_information_score: 0.5225, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8208, predictive_accuracy: 0.8208, prior_entropy: 1, recall: 0.8208, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7019, kappa: 0.4092, kb_relative_information_score: 0.398, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7125, predictive_accuracy: 0.7046, prior_entropy: 1, recall: 0.7046, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7019, kappa: 0.4092, kb_relative_information_score: 0.398, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7125, predictive_accuracy: 0.7046, prior_entropy: 1, recall: 0.7046, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.781, kappa: 0.5623, kb_relative_information_score: 0.4371, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7817, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.723, kappa: 0.4469, kb_relative_information_score: 0.2602, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7248, predictive_accuracy: 0.7235, prior_entropy: 1, recall: 0.7235, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.781, kappa: 0.5623, kb_relative_information_score: 0.4371, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7817, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8227, kappa: 0.6454, kb_relative_information_score: 0.5523, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8229, predictive_accuracy: 0.8227, prior_entropy: 1, recall: 0.8227, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8227, kappa: 0.6454, kb_relative_information_score: 0.5523, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8229, predictive_accuracy: 0.8227, prior_entropy: 1, recall: 0.8227, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8192, kappa: 0.6385, kb_relative_information_score: 0.4777, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8193, predictive_accuracy: 0.8192, prior_entropy: 1, recall: 0.8192, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8192, kappa: 0.6385, kb_relative_information_score: 0.4777, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8193, predictive_accuracy: 0.8192, prior_entropy: 1, recall: 0.8192, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 0.612, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 0.6263, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8254, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7315, kappa: 0.4631, kb_relative_information_score: 0.4193, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7316, predictive_accuracy: 0.7315, prior_entropy: 1, recall: 0.7315, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 0.6297, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 0.6419, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8324, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 0.416, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7811, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.725, kappa: 0.4523, kb_relative_information_score: 0.1731, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7302, predictive_accuracy: 0.7262, prior_entropy: 1, recall: 0.7262, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 0.449, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 0.5197, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8239, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7234, kappa: 0.45, kb_relative_information_score: 0.1974, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7303, predictive_accuracy: 0.725, prior_entropy: 1, recall: 0.725, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7234, kappa: 0.4469, kb_relative_information_score: 0.44, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7235, predictive_accuracy: 0.7235, prior_entropy: 1, recall: 0.7235, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8015, kappa: 0.6031, kb_relative_information_score: 0.4752, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8021, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8041, kappa: 0.6085, kb_relative_information_score: 0.5289, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8048, predictive_accuracy: 0.8042, prior_entropy: 1, recall: 0.8042, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7794, kappa: 0.5592, kb_relative_information_score: 0.4278, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7805, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 0.5469, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.844, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 0.5477, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8368, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6765, kappa: 0.3531, kb_relative_information_score: 0.3319, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6767, predictive_accuracy: 0.6765, prior_entropy: 1, recall: 0.6765, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7249, kappa: 0.4508, kb_relative_information_score: 0.1949, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.727, predictive_accuracy: 0.7254, prior_entropy: 1, recall: 0.7254, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 0.5232, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5889, kappa: 0.18, kb_relative_information_score: 0.18, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.591, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5889, kappa: 0.18, kb_relative_information_score: 0.18, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.591, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.6034, kappa: 0.2277, kb_relative_information_score: 0.2277, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6273, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6214, root_relative_squared_error: 1.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.5458, kappa: 0.1715, kb_relative_information_score: 0.1715, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6323, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.2872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.4785, kappa: -0.04, kb_relative_information_score: -0.04, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4798, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.611, kappa: 0.2315, kb_relative_information_score: 0.2315, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6217, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6199, root_relative_squared_error: 1.2397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.5915, kappa: 0.2015, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6318, root_relative_squared_error: 1.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.4675, kappa: -0.0231, kb_relative_information_score: -0.0231, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4863, predictive_accuracy: 0.4885, prior_entropy: 1, recall: 0.4885, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7152, root_relative_squared_error: 1.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.6029, kappa: 0.23, kb_relative_information_score: 0.23, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6309, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.6049, kappa: 0.2277, kb_relative_information_score: 0.2277, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6252, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6214, root_relative_squared_error: 1.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.6042, kappa: 0.2269, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6251, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.6045, kappa: 0.2277, kb_relative_information_score: 0.2277, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6258, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6214, root_relative_squared_error: 1.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.599, kappa: 0.2192, kb_relative_information_score: 0.2192, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6226, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6248, root_relative_squared_error: 1.2496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5999, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.604, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.6093, kappa: 0.2223, kb_relative_information_score: 0.2223, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6133, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6236, root_relative_squared_error: 1.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6054, kappa: 0.2292, kb_relative_information_score: 0.2292, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6265, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5948, kappa: 0.1931, kb_relative_information_score: 0.1931, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5982, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.6056, kappa: 0.2146, kb_relative_information_score: 0.2146, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6267, root_relative_squared_error: 1.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.417, kappa: 0.0169, kb_relative_information_score: 0.0169, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5227, predictive_accuracy: 0.5085, prior_entropy: 1, recall: 0.5085, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6049, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.4885, kappa: -0.0208, kb_relative_information_score: -0.0208, mean_absolute_error: 0.5104, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4895, predictive_accuracy: 0.4896, prior_entropy: 1, recall: 0.4896, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7144, root_relative_squared_error: 1.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.6045, kappa: 0.2277, kb_relative_information_score: 0.2277, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6258, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6214, root_relative_squared_error: 1.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.4835, kappa: 0.0046, kb_relative_information_score: 0.0046, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5027, predictive_accuracy: 0.5023, prior_entropy: 1, recall: 0.5023, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7055, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.4991, kappa: 0.01, kb_relative_information_score: 0.01, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5052, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6041, kappa: 0.21, kb_relative_information_score: 0.21, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6059, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6285, root_relative_squared_error: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.6052, kappa: 0.23, kb_relative_information_score: 0.23, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6276, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6054, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6255, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6049, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8414, kappa: 0.6831, kb_relative_information_score: 0.3977, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8424, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8034, kappa: 0.6069, kb_relative_information_score: 0.1572, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8036, predictive_accuracy: 0.8035, prior_entropy: 1, recall: 0.8035, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8303, kappa: 0.6608, kb_relative_information_score: 0.6128, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8309, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8154, kappa: 0.6308, kb_relative_information_score: 0.3207, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8154, predictive_accuracy: 0.8154, prior_entropy: 1, recall: 0.8154, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896,

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