Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.843, kappa: 0.6777, kb_relative_information_score: 0.6766, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7199, kappa: 0.4496, kb_relative_information_score: 0.42, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.749, predictive_accuracy: 0.7194, prior_entropy: 0.9835, recall: 0.7194, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8412, kappa: 0.6742, kb_relative_information_score: 0.6727, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8412, predictive_accuracy: 0.8417, prior_entropy: 0.9835, recall: 0.8417, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.8041, kappa: 0.6012, kb_relative_information_score: 0.5936, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8061, predictive_accuracy: 0.8034, prior_entropy: 0.9835, recall: 0.8034, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8021, kappa: 0.5969, kb_relative_information_score: 0.5894, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8039, predictive_accuracy: 0.8014, prior_entropy: 0.9835, recall: 0.8014, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7814, kappa: 0.5504, kb_relative_information_score: 0.5519, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7825, predictive_accuracy: 0.7832, prior_entropy: 0.9835, recall: 0.7832, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7826, kappa: 0.5528, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.784, kappa: 0.5558, kb_relative_information_score: 0.5573, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7851, predictive_accuracy: 0.7858, prior_entropy: 0.9835, recall: 0.7858, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.801, kappa: 0.595, kb_relative_information_score: 0.5871, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8032, predictive_accuracy: 0.8003, prior_entropy: 0.9835, recall: 0.8003, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6343, kappa: 0.3183, kb_relative_information_score: 0.2602, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7083, predictive_accuracy: 0.6421, prior_entropy: 0.9835, recall: 0.6421, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5982, root_relative_squared_error: 1.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8421, kappa: 0.6761, kb_relative_information_score: 0.6748, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8423, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7824, kappa: 0.5523, kb_relative_information_score: 0.5547, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7816, kappa: 0.5506, kb_relative_information_score: 0.5536, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7839, predictive_accuracy: 0.7841, prior_entropy: 0.9835, recall: 0.7841, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7816, kappa: 0.5506, kb_relative_information_score: 0.5536, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7839, predictive_accuracy: 0.7841, prior_entropy: 0.9835, recall: 0.7841, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7838, kappa: 0.5555, kb_relative_information_score: 0.5564, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7845, predictive_accuracy: 0.7854, prior_entropy: 0.9835, recall: 0.7854, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7839, kappa: 0.5559, kb_relative_information_score: 0.5561, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7853, prior_entropy: 0.9835, recall: 0.7853, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7839, kappa: 0.5559, kb_relative_information_score: 0.5561, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7853, prior_entropy: 0.9835, recall: 0.7853, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7824, kappa: 0.5523, kb_relative_information_score: 0.5547, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7817, kappa: 0.551, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7817, kappa: 0.551, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8426, kappa: 0.6768, kb_relative_information_score: 0.6757, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8428, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7825, kappa: 0.5525, kb_relative_information_score: 0.5555, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7848, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7818, kappa: 0.551, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8422, kappa: 0.6762, kb_relative_information_score: 0.6751, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8424, kappa: 0.6768, kb_relative_information_score: 0.6751, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8011, kappa: 0.5954, kb_relative_information_score: 0.5872, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8003, prior_entropy: 0.9835, recall: 0.8003, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8422, kappa: 0.676, kb_relative_information_score: 0.6751, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8428, kappa: 0.6772, kb_relative_information_score: 0.6766, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8421, kappa: 0.6758, kb_relative_information_score: 0.6749, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.843, kappa: 0.6775, kb_relative_information_score: 0.6769, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8437, prior_entropy: 0.9835, recall: 0.8437, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.6689, kappa: 0.3722, kb_relative_information_score: 0.3243, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7295, predictive_accuracy: 0.6732, prior_entropy: 0.9835, recall: 0.6732, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.1567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7215, kappa: 0.4482, kb_relative_information_score: 0.4221, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7432, predictive_accuracy: 0.7205, prior_entropy: 0.9835, recall: 0.7205, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7814, kappa: 0.5504, kb_relative_information_score: 0.5528, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8422, kappa: 0.6761, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8422, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.6773, kappa: 0.3834, kb_relative_information_score: 0.3391, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7306, predictive_accuracy: 0.6803, prior_entropy: 0.9835, recall: 0.6803, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8432, kappa: 0.6782, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8435, predictive_accuracy: 0.8439, prior_entropy: 0.9835, recall: 0.8439, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7591, kappa: 0.5179, kb_relative_information_score: 0.4992, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8037, kappa: 0.6008, kb_relative_information_score: 0.5925, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8063, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6748, kappa: 0.38, kb_relative_information_score: 0.3346, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7304, predictive_accuracy: 0.6781, prior_entropy: 0.9835, recall: 0.6781, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8037, kappa: 0.6008, kb_relative_information_score: 0.5925, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8063, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7812, kappa: 0.5502, kb_relative_information_score: 0.5515, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7831, prior_entropy: 0.9835, recall: 0.7831, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6748, kappa: 0.38, kb_relative_information_score: 0.3346, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7304, predictive_accuracy: 0.6781, prior_entropy: 0.9835, recall: 0.6781, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7621, kappa: 0.5243, kb_relative_information_score: 0.5055, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7769, predictive_accuracy: 0.7608, prior_entropy: 0.9835, recall: 0.7608, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7621, kappa: 0.5243, kb_relative_information_score: 0.5055, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7769, predictive_accuracy: 0.7608, prior_entropy: 0.9835, recall: 0.7608, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.782, kappa: 0.5513, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.782, kappa: 0.5513, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.718, kappa: 0.4464, kb_relative_information_score: 0.4163, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7478, predictive_accuracy: 0.7176, prior_entropy: 0.9835, recall: 0.7176, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7822, kappa: 0.5523, kb_relative_information_score: 0.5533, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7831, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.645, kappa: 0.3337, kb_relative_information_score: 0.2792, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7133, predictive_accuracy: 0.6514, prior_entropy: 0.9835, recall: 0.6514, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5905, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8065, kappa: 0.6062, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8087, predictive_accuracy: 0.8057, prior_entropy: 0.9835, recall: 0.8057, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8419, kappa: 0.6751, kb_relative_information_score: 0.675, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8428, kappa: 0.6774, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.782, kappa: 0.5515, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8427, kappa: 0.677, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7828, kappa: 0.5534, kb_relative_information_score: 0.5542, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7835, predictive_accuracy: 0.7844, prior_entropy: 0.9835, recall: 0.7844, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7821, kappa: 0.5519, kb_relative_information_score: 0.5531, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7838, prior_entropy: 0.9835, recall: 0.7838, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7822, kappa: 0.5522, kb_relative_information_score: 0.5539, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7835, predictive_accuracy: 0.7842, prior_entropy: 0.9835, recall: 0.7842, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8431, kappa: 0.678, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8435, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.842, kappa: 0.6755, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6792, kappa: 0.3879, kb_relative_information_score: 0.3434, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7343, predictive_accuracy: 0.6824, prior_entropy: 0.9835, recall: 0.6824, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8431, kappa: 0.6778, kb_relative_information_score: 0.677, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8435, kappa: 0.6785, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8441, predictive_accuracy: 0.8443, prior_entropy: 0.9835, recall: 0.8443, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7819, kappa: 0.5516, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7836, prior_entropy: 0.9835, recall: 0.7836, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7805, kappa: 0.5485, kb_relative_information_score: 0.5509, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7822, predictive_accuracy: 0.7828, prior_entropy: 0.9835, recall: 0.7828, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8426, kappa: 0.6767, kb_relative_information_score: 0.676, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8433, prior_entropy: 0.9835, recall: 0.8433, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6759, kappa: 0.3806, kb_relative_information_score: 0.3362, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7289, predictive_accuracy: 0.6789, prior_entropy: 0.9835, recall: 0.6789, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8434, kappa: 0.6784, kb_relative_information_score: 0.6778, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8438, predictive_accuracy: 0.8441, prior_entropy: 0.9835, recall: 0.8441, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7817, kappa: 0.5508, kb_relative_information_score: 0.5532, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7834, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7835, kappa: 0.5548, kb_relative_information_score: 0.5569, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8417, kappa: 0.6749, kb_relative_information_score: 0.6743, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8421, predictive_accuracy: 0.8424, prior_entropy: 0.9835, recall: 0.8424, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7813, kappa: 0.5501, kb_relative_information_score: 0.5519, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7825, predictive_accuracy: 0.7832, prior_entropy: 0.9835, recall: 0.7832, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8417, kappa: 0.6749, kb_relative_information_score: 0.6743, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8421, predictive_accuracy: 0.8424, prior_entropy: 0.9835, recall: 0.8424, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7838, kappa: 0.5555, kb_relative_information_score: 0.5564, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7845, predictive_accuracy: 0.7854, prior_entropy: 0.9835, recall: 0.7854, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.7807, kappa: 0.5489, kb_relative_information_score: 0.5511, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7828, prior_entropy: 0.9835, recall: 0.7828, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7813, kappa: 0.5501, kb_relative_information_score: 0.5519, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7825, predictive_accuracy: 0.7832, prior_entropy: 0.9835, recall: 0.7832, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8447, kappa: 0.6811, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.845, predictive_accuracy: 0.8453, prior_entropy: 0.9835, recall: 0.8453, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8423, kappa: 0.6764, kb_relative_information_score: 0.675, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7828, kappa: 0.5535, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7616, kappa: 0.5219, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.774, predictive_accuracy: 0.7603, prior_entropy: 0.9835, recall: 0.7603, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7826, kappa: 0.5529, kb_relative_information_score: 0.5543, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.7844, prior_entropy: 0.9835, recall: 0.7844, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8433, kappa: 0.6784, kb_relative_information_score: 0.6771, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8025, kappa: 0.5982, kb_relative_information_score: 0.5902, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8048, predictive_accuracy: 0.8018, prior_entropy: 0.9835, recall: 0.8018, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7207, kappa: 0.4496, kb_relative_information_score: 0.4212, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7472, predictive_accuracy: 0.72, prior_entropy: 0.9835, recall: 0.72, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.0705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7828, kappa: 0.5533, kb_relative_information_score: 0.555, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7848, prior_entropy: 0.9835, recall: 0.7848, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8014, kappa: 0.5956, kb_relative_information_score: 0.5879, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8034, predictive_accuracy: 0.8006, prior_entropy: 0.9835, recall: 0.8006, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7756, kappa: 0.5493, kb_relative_information_score: 0.5334, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7868, predictive_accuracy: 0.7743, prior_entropy: 0.9835, recall: 0.7743, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7829, kappa: 0.5534, kb_relative_information_score: 0.5566, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7854, predictive_accuracy: 0.7855, prior_entropy: 0.9835, recall: 0.7855, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7801, kappa: 0.5477, kb_relative_information_score: 0.5499, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7817, predictive_accuracy: 0.7823, prior_entropy: 0.9835, recall: 0.7823, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7821, kappa: 0.5519, kb_relative_information_score: 0.5533, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.714, kappa: 0.4128, kb_relative_information_score: 0.4113, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7136, predictive_accuracy: 0.7152, prior_entropy: 0.9835, recall: 0.7152, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7827, kappa: 0.5532, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7803, kappa: 0.548, kb_relative_information_score: 0.5509, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7825, predictive_accuracy: 0.7828, prior_entropy: 0.9835, recall: 0.7828, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7813, kappa: 0.5503, kb_relative_information_score: 0.5522, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7834, prior_entropy: 0.9835, recall: 0.7834, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8414, kappa: 0.6746, kb_relative_information_score: 0.6734, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8416, predictive_accuracy: 0.842, prior_entropy: 0.9835, recall: 0.842, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7819, kappa: 0.5516, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7819, kappa: 0.5515, kb_relative_information_score: 0.5529, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8447, kappa: 0.6811, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.845, predictive_accuracy: 0.8453, prior_entropy: 0.9835, recall: 0.8453, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8423, kappa: 0.6764, kb_relative_information_score: 0.675, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.7807, kappa: 0.5489, kb_relative_information_score: 0.5511, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7828, prior_entropy: 0.9835, recall: 0.7828, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15889.5663, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1323.4084, usercpu_time_millis: 8195.092, usercpu_time_millis_testing: 25.513, usercpu_time_millis_training: 8169.579,

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

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

OpenML APIs