Task
Supervised Classification on mc2

Supervised Classification on mc2

Task 3905 Supervised Classification mc2 578 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 30.5591, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.6878, kappa: 0.2641, kb_relative_information_score: 21.5058, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.717, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.6165, kappa: 0.1111, kb_relative_information_score: 12.7395, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.661, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6923, kappa: 0.2736, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6956, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7218, kappa: 0.3441, kb_relative_information_score: 22.1887, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7261, predictive_accuracy: 0.7391, prior_entropy: 0.9099, recall: 0.7391, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6691, kappa: 0.2214, kb_relative_information_score: 28.1752, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6997, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7451, kappa: 0.4009, kb_relative_information_score: 35.0146, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7478, predictive_accuracy: 0.7578, prior_entropy: 0.9099, recall: 0.7578, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7213, kappa: 0.3415, kb_relative_information_score: 28.024, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7356, predictive_accuracy: 0.7453, prior_entropy: 0.9099, recall: 0.7453, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.6906, kappa: 0.269, kb_relative_information_score: 41.6414, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7035, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6275, kappa: 0.1244, kb_relative_information_score: 4.5085, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6201, predictive_accuracy: 0.646, prior_entropy: 0.9099, recall: 0.646, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 55.7768, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.649, kappa: 0.1818, kb_relative_information_score: 13.1585, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6436, predictive_accuracy: 0.6584, prior_entropy: 0.9099, recall: 0.6584, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.1188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7182, kappa: 0.342, kb_relative_information_score: 50.9456, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7157, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.7128, kappa: 0.3306, kb_relative_information_score: 34.2784, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7099, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.5516, kappa: -0.0468, kb_relative_information_score: 2.6154, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.5417, predictive_accuracy: 0.5652, prior_entropy: 0.9099, recall: 0.5652, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6617, kappa: 0.2116, kb_relative_information_score: 39.5931, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6569, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6957, kappa: 0.2811, kb_relative_information_score: 54.4515, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7127, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6632, kappa: 0.204, kb_relative_information_score: 25.8594, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6695, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.6786, kappa: 0.2497, kb_relative_information_score: 50.5195, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7499, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.7059, kappa: 0.3057, kb_relative_information_score: 58.1993, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7328, predictive_accuracy: 0.7391, prior_entropy: 0.9099, recall: 0.7391, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7005, kappa: 0.2934, kb_relative_information_score: 31.0998, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7035, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.6643, kappa: 0.2092, kb_relative_information_score: 13.9197, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6884, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.5466, kb_relative_information_score: -0.2331, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.6219, kappa: 0.1065, kb_relative_information_score: 13.6297, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6185, predictive_accuracy: 0.6584, prior_entropy: 0.9099, recall: 0.6584, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6537, kappa: 0.1859, kb_relative_information_score: 11.819, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6485, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.7005, kappa: 0.2934, kb_relative_information_score: 24.5187, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7035, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.6515, kappa: 0.1838, kb_relative_information_score: 26.7806, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6458, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 55.8066, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6871, kappa: 0.262, kb_relative_information_score: 26.0357, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6884, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.708, kappa: 0.3147, kb_relative_information_score: 64.4008, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.771, predictive_accuracy: 0.7516, prior_entropy: 0.9099, recall: 0.7516, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.684, kappa: 0.2793, kb_relative_information_score: 26.6724, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6848, predictive_accuracy: 0.6832, prior_entropy: 0.9099, recall: 0.6832, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6415, kappa: 0.1845, kb_relative_information_score: 21.5161, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6434, predictive_accuracy: 0.6398, prior_entropy: 0.9099, recall: 0.6398, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6769, kappa: 0.2365, kb_relative_information_score: 23.9987, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6865, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.6942, kappa: 0.2773, kb_relative_information_score: 51.9316, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7031, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.6135, kappa: 0.1121, kb_relative_information_score: 42.757, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6875, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.6471, kappa: 0.1822, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7239, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.6515, kappa: 0.1838, kb_relative_information_score: 26.7806, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6458, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.5345, kappa: -0.0484, kb_relative_information_score: -7.7131, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4528, predictive_accuracy: 0.6522, prior_entropy: 0.9099, recall: 0.6522, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6789, kappa: 0.2421, kb_relative_information_score: 23.1333, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6803, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.641, kappa: 0.1696, kb_relative_information_score: 22.2123, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6372, predictive_accuracy: 0.646, prior_entropy: 0.9099, recall: 0.646, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5937, root_relative_squared_error: 1.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6871, kappa: 0.262, kb_relative_information_score: 44.9922, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6884, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.135, scimark_benchmark: 1586.7278, usercpu_time_millis: 1046.875, usercpu_time_millis_training: 1046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.4624, kappa: -0.0568, kb_relative_information_score: -53.4373, mean_absolute_error: 0.5528, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.5311, predictive_accuracy: 0.4472, prior_entropy: 0.9099, recall: 0.4472, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.7435, root_relative_squared_error: 1.59, scimark_benchmark: 1922.3298, usercpu_time_millis: 13953.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 13937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7033, kappa: 0.3011, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7042, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 1922.3298, usercpu_time_millis: 11781.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 33.1376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 1922.3298, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5466, kb_relative_information_score: 35.5425, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.2153, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6541, kappa: 0.1925, kb_relative_information_score: 24.8675, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6488, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0648, scimark_benchmark: 1379.8918, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5466, kb_relative_information_score: 35.5425, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.2153, scimark_benchmark: 1611.9523, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 33.1376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 1328.1298, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.4624, kappa: -0.0568, kb_relative_information_score: -53.4373, mean_absolute_error: 0.5528, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.5311, predictive_accuracy: 0.4472, prior_entropy: 0.9099, recall: 0.4472, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.7435, root_relative_squared_error: 1.59, scimark_benchmark: 1650.5172, usercpu_time_millis: 10720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7033, kappa: 0.3011, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7042, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 1360.2446, usercpu_time_millis: 10390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.6398, kappa: 0.1488, kb_relative_information_score: 35.8331, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.638, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.1221, scimark_benchmark: 1665.974, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, scimark_benchmark: 1468.5287, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.6689, kappa: 0.2244, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7169, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 1166.5107, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.6587, kappa: 0.1969, kb_relative_information_score: 23.4903, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6544, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0325, scimark_benchmark: 1124.6457, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7363, kappa: 0.3913, kb_relative_information_score: 53.3006, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7344, predictive_accuracy: 0.7391, prior_entropy: 0.9099, recall: 0.7391, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9797, scimark_benchmark: 1332.6674, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6592, kappa: 0.2032, kb_relative_information_score: 33.8368, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.654, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.2101, scimark_benchmark: 1263.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.682, kappa: 0.2504, kb_relative_information_score: 30.843, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6816, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0396, scimark_benchmark: 1207.008, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6515, kappa: 0.1838, kb_relative_information_score: 6.7816, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6458, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0462, scimark_benchmark: 890.7735, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.6829, kappa: 0.2518, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7061, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.6309, kappa: 0.1278, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6285, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0711, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6891, kappa: 0.2654, kb_relative_information_score: 22.0721, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6951, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9741, 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: 0.6634, f_measure: 0.682, kappa: 0.2504, kb_relative_information_score: 30.843, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6816, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0396, scimark_benchmark: 968.6483, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 55.7768, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.105, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.6464, kappa: 0.1731, kb_relative_information_score: 24.6111, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6405, predictive_accuracy: 0.6584, prior_entropy: 0.9099, recall: 0.6584, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1925, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, 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: 0.5828, f_measure: 0.6589, kappa: 0.2023, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7076, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.6829, kappa: 0.2518, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7061, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.6587, kappa: 0.1969, kb_relative_information_score: 23.8845, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6544, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0415, 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: 0.7265, f_measure: 0.7363, kappa: 0.3913, kb_relative_information_score: 53.3006, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7344, predictive_accuracy: 0.7391, prior_entropy: 0.9099, recall: 0.7391, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9797, 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: 0.5959, f_measure: 0.6592, kappa: 0.2032, kb_relative_information_score: 33.8368, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.654, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.2101, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.6309, kappa: 0.1278, kb_relative_information_score: 7.2653, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6285, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0455, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.6309, kappa: 0.1278, kb_relative_information_score: 7.0105, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6285, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0802, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.6923, kappa: 0.2736, kb_relative_information_score: 20.966, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6956, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9741, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 55.7768, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.105, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.6464, kappa: 0.1731, kb_relative_information_score: 24.6111, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6405, predictive_accuracy: 0.6584, prior_entropy: 0.9099, recall: 0.6584, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1925, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6275, kappa: 0.1244, kb_relative_information_score: 4.5085, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6201, predictive_accuracy: 0.646, prior_entropy: 0.9099, recall: 0.646, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0521, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6587, kappa: 0.1969, kb_relative_information_score: 23.2287, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6544, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0443, scimark_benchmark: 1834.908, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.6769, kappa: 0.239, kb_relative_information_score: 30.6885, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.675, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.04, scimark_benchmark: 1834.908, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.6769, kappa: 0.239, kb_relative_information_score: 30.6885, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.675, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.04, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6177, kappa: 0.1034, kb_relative_information_score: 12.7628, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6097, predictive_accuracy: 0.6335, prior_entropy: 0.9099, recall: 0.6335, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0924, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.6591, kappa: 0.1948, kb_relative_information_score: 15.0432, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6687, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0015, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.6486, kappa: 0.1799, kb_relative_information_score: 23.8446, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6976, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.0031, 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: 0.6486, f_measure: 0.6819, kappa: 0.2484, kb_relative_information_score: 21.6358, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6952, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9771, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.6532, kappa: 0.1924, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, 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: 0.5924, f_measure: 0.6689, kappa: 0.2244, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7169, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 951.7565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6275, kappa: 0.1244, kb_relative_information_score: 4.5085, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6201, predictive_accuracy: 0.646, prior_entropy: 0.9099, recall: 0.646, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0521, scimark_benchmark: 905.7286, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6806, kappa: 0.2452, kb_relative_information_score: 22.1427, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6868, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0109, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6403, kappa: 0.1537, kb_relative_information_score: 12.5314, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6578, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4679, root_relative_squared_error: 1.0006, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.65, kappa: 0.1756, kb_relative_information_score: 28.1134, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6681, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0603, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6449, kappa: 0.1656, kb_relative_information_score: 33.956, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6685, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0382, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.6449, kappa: 0.1656, kb_relative_information_score: 17.0942, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6685, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9866, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.6472, kappa: 0.1678, kb_relative_information_score: 13.912, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6432, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0324, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6806, kappa: 0.2452, kb_relative_information_score: 22.1427, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6868, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0109, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.6942, kappa: 0.2773, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7031, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6919, kappa: 0.2727, kb_relative_information_score: 54.7813, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7144, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.1179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.5848, kappa: 0.0289, kb_relative_information_score: 25.923, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.5834, predictive_accuracy: 0.6522, prior_entropy: 0.9099, recall: 0.6522, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6954, kappa: 0.2858, kb_relative_information_score: 47.5668, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6927, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1554,

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