OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 3852 Supervised Classification anneal 519 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -0.8602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8087, kappa: 0.5287, kb_relative_information_score: 201.1099, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8488, predictive_accuracy: 0.7962, prior_entropy: 0.7932, recall: 0.7962, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9513, kappa: 0.864, kb_relative_information_score: 721.0232, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9517, predictive_accuracy: 0.9521, prior_entropy: 0.7932, recall: 0.9521, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.6742, kappa: 0.0421, kb_relative_information_score: -15.1236, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8224, predictive_accuracy: 0.7684, prior_entropy: 0.7932, recall: 0.7684, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9445, kappa: 0.8476, kb_relative_information_score: 702.668, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9447, predictive_accuracy: 0.9443, prior_entropy: 0.7932, recall: 0.9443, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9607, kappa: 0.8911, kb_relative_information_score: 785.2813, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9607, predictive_accuracy: 0.961, prior_entropy: 0.7932, recall: 0.961, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9558, kappa: 0.8792, kb_relative_information_score: 766.3094, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9565, predictive_accuracy: 0.9555, prior_entropy: 0.7932, recall: 0.9555, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8276, kappa: 0.5443, kb_relative_information_score: 315.2798, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8383, predictive_accuracy: 0.8218, prior_entropy: 0.7932, recall: 0.8218, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8742, kappa: 0.6433, kb_relative_information_score: 454.9868, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8744, predictive_accuracy: 0.8786, prior_entropy: 0.7932, recall: 0.8786, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.956, kappa: 0.8774, kb_relative_information_score: 729.4706, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9562, predictive_accuracy: 0.9566, prior_entropy: 0.7932, recall: 0.9566, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.7369, kappa: 0.2259, kb_relative_information_score: 117.5473, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7343, predictive_accuracy: 0.7673, prior_entropy: 0.7932, recall: 0.7673, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9192, kappa: 0.7687, kb_relative_information_score: 661.1465, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9251, predictive_accuracy: 0.9232, prior_entropy: 0.7932, recall: 0.9232, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.7201, kappa: 0.1675, kb_relative_information_score: 18.3791, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7408, predictive_accuracy: 0.7739, prior_entropy: 0.7932, recall: 0.7739, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8814, kappa: 0.6717, kb_relative_information_score: 554.1808, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8809, predictive_accuracy: 0.882, prior_entropy: 0.7932, recall: 0.882, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9375, kappa: 0.8277, kb_relative_information_score: 613.3149, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9375, predictive_accuracy: 0.9376, prior_entropy: 0.7932, recall: 0.9376, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9271, kappa: 0.7931, kb_relative_information_score: 458.6057, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9302, predictive_accuracy: 0.9298, prior_entropy: 0.7932, recall: 0.9298, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -0.8602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9085, kappa: 0.7542, kb_relative_information_score: 580.387, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9129, predictive_accuracy: 0.9065, prior_entropy: 0.7932, recall: 0.9065, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9392, kappa: 0.8283, kb_relative_information_score: 742.4178, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9412, predictive_accuracy: 0.941, prior_entropy: 0.7932, recall: 0.941, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.187, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8684, kappa: 0.6475, kb_relative_information_score: 418.5414, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.8653, prior_entropy: 0.7932, recall: 0.8653, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9217, kappa: 0.7832, kb_relative_information_score: 593.418, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9214, predictive_accuracy: 0.922, prior_entropy: 0.7932, recall: 0.922, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.794, kappa: 0.4766, kb_relative_information_score: 26.0751, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8205, predictive_accuracy: 0.7829, prior_entropy: 0.7932, recall: 0.7829, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8542, kappa: 0.5821, kb_relative_information_score: 466.2748, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8561, predictive_accuracy: 0.8619, prior_entropy: 0.7932, recall: 0.8619, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9497, kappa: 0.8608, kb_relative_information_score: 640.2323, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.7932, recall: 0.9499, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8023, kappa: 0.4967, kb_relative_information_score: -3.6313, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8277, predictive_accuracy: 0.7918, prior_entropy: 0.7932, recall: 0.7918, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.6557, kappa: -0.0148, kb_relative_information_score: 205.451, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.6004, predictive_accuracy: 0.7517, prior_entropy: 0.7932, recall: 0.7517, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.1696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9147, kappa: 0.7696, kb_relative_information_score: 562.6156, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9178, predictive_accuracy: 0.9131, prior_entropy: 0.7932, recall: 0.9131, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7773, kappa: 0.4427, kb_relative_information_score: 160.5949, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8107, predictive_accuracy: 0.7639, prior_entropy: 0.7932, recall: 0.7639, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8738, kappa: 0.6547, kb_relative_information_score: 543.4235, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8748, predictive_accuracy: 0.8731, prior_entropy: 0.7932, recall: 0.8731, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9489, kappa: 0.8593, kb_relative_information_score: 725.1383, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.949, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 233.357, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7734, kappa: 0.4353, kb_relative_information_score: 161.2341, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8087, predictive_accuracy: 0.7595, prior_entropy: 0.7932, recall: 0.7595, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.9397, kappa: 0.8284, kb_relative_information_score: 735.6647, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9442, predictive_accuracy: 0.9421, prior_entropy: 0.7932, recall: 0.9421, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 233.357, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.8482, kappa: 0.5664, kb_relative_information_score: 493.8129, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8485, predictive_accuracy: 0.8552, prior_entropy: 0.7932, recall: 0.8552, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.9026, kappa: 0.7335, kb_relative_information_score: 624.0408, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9034, predictive_accuracy: 0.902, prior_entropy: 0.7932, recall: 0.902, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.313, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.7939, kappa: 0.3938, kb_relative_information_score: 388.3902, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8058, predictive_accuracy: 0.8174, prior_entropy: 0.7932, recall: 0.8174, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.7055, kappa: 0.1292, kb_relative_information_score: 292.2696, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.831, predictive_accuracy: 0.7829, prior_entropy: 0.7932, recall: 0.7829, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.466, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 233.357, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.6965, kappa: 0.1025, kb_relative_information_score: 273.6656, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7908, predictive_accuracy: 0.7762, prior_entropy: 0.7932, recall: 0.7762, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 233.357, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.6965, kappa: 0.1025, kb_relative_information_score: 273.6656, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7908, predictive_accuracy: 0.7762, prior_entropy: 0.7932, recall: 0.7762, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.8706, kappa: 0.643, kb_relative_information_score: 537.2222, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8704, predictive_accuracy: 0.8708, prior_entropy: 0.7932, recall: 0.8708, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.8359, kappa: 0.5146, kb_relative_information_score: 503.1149, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8768, predictive_accuracy: 0.8586, prior_entropy: 0.7932, recall: 0.8586, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 233.357, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.6965, kappa: 0.1025, kb_relative_information_score: 273.6656, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7908, predictive_accuracy: 0.7762, prior_entropy: 0.7932, recall: 0.7762, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.6039, kappa: 0.1418, kb_relative_information_score: -293.7561, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7074, predictive_accuracy: 0.5724, prior_entropy: 0.7932, recall: 0.5724, relative_absolute_error: 1.1769, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.5349, scimark_benchmark: 1280.301, usercpu_time_millis: 17406.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 17390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7215, kappa: 0.3197, kb_relative_information_score: 69.0217, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7666, predictive_accuracy: 0.7027, prior_entropy: 0.7932, recall: 0.7027, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.2798, scimark_benchmark: 1280.301, usercpu_time_millis: 6921.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 6890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 1461.2356, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6581, kappa: -0.0022, kb_relative_information_score: 230.2563, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.58, predictive_accuracy: 0.7606, prior_entropy: 0.7932, recall: 0.7606, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.1485, scimark_benchmark: 1461.2356, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9776, kappa: 0.9381, kb_relative_information_score: 818.9841, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3422, scimark_benchmark: 1862.8608, usercpu_time_millis: 9453.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9776, kappa: 0.9381, kb_relative_information_score: 818.9841, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3422, scimark_benchmark: 1787.9841, usercpu_time_millis: 10031.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 10015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9776, kappa: 0.9381, kb_relative_information_score: 818.9841, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.7932, recall: 0.9777, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3422, scimark_benchmark: 1398.2848, usercpu_time_millis: 11340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6581, kappa: -0.0022, kb_relative_information_score: 230.2563, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.58, predictive_accuracy: 0.7606, prior_entropy: 0.7932, recall: 0.7606, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.1485, scimark_benchmark: 1582.511, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.8181, kappa: 0.4626, kb_relative_information_score: 456.6049, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8467, predictive_accuracy: 0.8419, prior_entropy: 0.7932, recall: 0.8419, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9334, scimark_benchmark: 1638.8192, usercpu_time_millis: 400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9867, kappa: 0.9633, kb_relative_information_score: 854.3203, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 0.7932, recall: 0.9866, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2683, scimark_benchmark: 1671.2677, usercpu_time_millis: 12515.625, usercpu_time_millis_training: 12515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.6039, kappa: 0.1418, kb_relative_information_score: -293.7561, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7074, predictive_accuracy: 0.5724, prior_entropy: 0.7932, recall: 0.5724, relative_absolute_error: 1.1769, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.5349, scimark_benchmark: 1654.2628, usercpu_time_millis: 15420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 15380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7215, kappa: 0.3197, kb_relative_information_score: 69.0217, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7666, predictive_accuracy: 0.7027, prior_entropy: 0.7932, recall: 0.7027, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.2798, scimark_benchmark: 1672.8602, usercpu_time_millis: 7950, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9878, kappa: 0.9663, kb_relative_information_score: 845.6494, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 0.7932, recall: 0.9878, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2726, scimark_benchmark: 1665.974, usercpu_time_millis: 1156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1140.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7734, kappa: 0.4353, kb_relative_information_score: 161.2341, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8087, predictive_accuracy: 0.7595, prior_entropy: 0.7932, recall: 0.7595, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.9537, scimark_benchmark: 1449.1155, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9742, kappa: 0.9284, kb_relative_information_score: 808.8954, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 0.7932, recall: 0.9744, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3622, scimark_benchmark: 1260.2389, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8795, kappa: 0.6618, kb_relative_information_score: 436.852, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8786, predictive_accuracy: 0.882, prior_entropy: 0.7932, recall: 0.882, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7182, scimark_benchmark: 1108.5536, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9471, kappa: 0.8502, kb_relative_information_score: 756.2186, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5219, scimark_benchmark: 1381.6774, usercpu_time_millis: 260, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9878, kappa: 0.9665, kb_relative_information_score: 831.0521, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.7932, recall: 0.9878, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2566, scimark_benchmark: 989.8665, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9553, kappa: 0.8765, kb_relative_information_score: 732.2084, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9552, predictive_accuracy: 0.9555, prior_entropy: 0.7932, recall: 0.9555, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4713, scimark_benchmark: 944.6092, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8765, kappa: 0.6571, kb_relative_information_score: 555.8262, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8757, predictive_accuracy: 0.8775, prior_entropy: 0.7932, recall: 0.8775, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.35, root_relative_squared_error: 0.8215, scimark_benchmark: 1618.1738, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.889, kappa: 0.6952, kb_relative_information_score: 586.8328, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8894, predictive_accuracy: 0.8886, prior_entropy: 0.7932, recall: 0.8886, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7833, scimark_benchmark: 1618.1738, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9311, kappa: 0.8104, kb_relative_information_score: 619.0763, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 0.7932, recall: 0.931, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5449, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.953, kappa: 0.8699, kb_relative_information_score: 640.0838, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9529, predictive_accuracy: 0.9532, prior_entropy: 0.7932, recall: 0.9532, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4646, scimark_benchmark: 1925.3565, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 218.75, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -0.8602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9217, kappa: 0.7832, kb_relative_information_score: 593.418, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9214, predictive_accuracy: 0.922, prior_entropy: 0.7932, recall: 0.922, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5936, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7734, kappa: 0.4353, kb_relative_information_score: 161.2341, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8087, predictive_accuracy: 0.7595, prior_entropy: 0.7932, recall: 0.7595, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.9537, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8765, kappa: 0.6571, kb_relative_information_score: 555.8262, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8757, predictive_accuracy: 0.8775, prior_entropy: 0.7932, recall: 0.8775, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.35, root_relative_squared_error: 0.8215, scimark_benchmark: 1925.3565, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.889, kappa: 0.6952, kb_relative_information_score: 586.8328, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8894, predictive_accuracy: 0.8886, prior_entropy: 0.7932, recall: 0.8886, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7833, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9845, kappa: 0.9573, kb_relative_information_score: 842.0604, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9846, predictive_accuracy: 0.9844, prior_entropy: 0.7932, recall: 0.9844, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.2813, scimark_benchmark: 1925.3565, usercpu_time_millis: 875, usercpu_time_millis_training: 875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8795, kappa: 0.6618, kb_relative_information_score: 436.852, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8786, predictive_accuracy: 0.882, prior_entropy: 0.7932, recall: 0.882, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7182, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9471, kappa: 0.8502, kb_relative_information_score: 756.2186, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5219, scimark_benchmark: 1925.3565, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9878, kappa: 0.9665, kb_relative_information_score: 831.0521, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.7932, recall: 0.9878, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2566, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9531, kappa: 0.8703, kb_relative_information_score: 725.4144, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.953, predictive_accuracy: 0.9532, prior_entropy: 0.7932, recall: 0.9532, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4869, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9311, kappa: 0.8104, kb_relative_information_score: 619.0763, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 0.7932, recall: 0.931, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5449, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9485, kappa: 0.8575, kb_relative_information_score: 641.8457, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9484, predictive_accuracy: 0.9488, prior_entropy: 0.7932, recall: 0.9488, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4642, scimark_benchmark: 1892.0925, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -0.8602, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 0.7932, recall: 0.7617, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4261, root_relative_squared_error: 1, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9217, kappa: 0.7832, kb_relative_information_score: 593.418, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9214, predictive_accuracy: 0.922, prior_entropy: 0.7932, recall: 0.922, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5936, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8795, kappa: 0.6618, kb_relative_information_score: 436.852, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8786, predictive_accuracy: 0.882, prior_entropy: 0.7932, recall: 0.882, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7182, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9445, kappa: 0.8476, kb_relative_information_score: 702.668, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9447, predictive_accuracy: 0.9443, prior_entropy: 0.7932, recall: 0.9443, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5053, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9765, kappa: 0.9349, kb_relative_information_score: 813.8249, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 0.7932, recall: 0.9766, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3473, scimark_benchmark: 1834.908, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9878, kappa: 0.9665, kb_relative_information_score: 831.0521, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.7932, recall: 0.9878, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2566, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9878, kappa: 0.9665, kb_relative_information_score: 831.0521, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.7932, recall: 0.9878, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2566, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8643, kappa: 0.6042, kb_relative_information_score: 467.7182, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8797, predictive_accuracy: 0.8764, prior_entropy: 0.7932, recall: 0.8764, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.6565, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8912, kappa: 0.7013, kb_relative_information_score: 524.6486, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8916, predictive_accuracy: 0.8909, prior_entropy: 0.7932, recall: 0.8909, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6876, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.8205, kappa: 0.4678, kb_relative_information_score: 302.1442, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8662, predictive_accuracy: 0.8474, prior_entropy: 0.7932, recall: 0.8474, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.826, scimark_benchmark: 1788.6668, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.6925, kappa: 0.088, kb_relative_information_score: -5.7245, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.7287, predictive_accuracy: 0.7673, prior_entropy: 0.7932, recall: 0.7673, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9931, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.6553, kappa: -0.0184, kb_relative_information_score: 193.0483, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.6064, predictive_accuracy: 0.7472, prior_entropy: 0.7932, recall: 0.7472, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.1801, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.874, kappa: 0.6497, kb_relative_information_score: 549.6248, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8732, predictive_accuracy: 0.8753, prior_entropy: 0.7932, recall: 0.8753, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.8289, scimark_benchmark: 1270.1721, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9445, kappa: 0.8476, kb_relative_information_score: 702.668, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9447, predictive_accuracy: 0.9443, prior_entropy: 0.7932, recall: 0.9443, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5053, scimark_benchmark: 948.0295, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8662, kappa: 0.6341, kb_relative_information_score: 427.4313, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8673, predictive_accuracy: 0.8653, prior_entropy: 0.7932, recall: 0.8653, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.7028, scimark_benchmark: 1447.2612, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8864, kappa: 0.6871, kb_relative_information_score: 568.0104, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.8864, predictive_accuracy: 0.8864, prior_entropy: 0.7932, recall: 0.8864, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6417, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9273, kappa: 0.7918, kb_relative_information_score: 738.7976, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.3633, number_of_instances: 898, precision: 0.9342, predictive_accuracy: 0.931, prior_entropy: 0.7932, recall: 0.931, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.426, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.5107, scimark_benchmark: 1840.6094, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 265.625,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs