Task
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.6676, kappa: 0.2452, kb_relative_information_score: 18.1172, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6705, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6706, kappa: 0.2527, kb_relative_information_score: 23.7376, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6715, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7196, kappa: 0.3669, kb_relative_information_score: 35.1533, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.719, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.6386, kappa: 0.1843, kb_relative_information_score: 18.0521, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6609, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.6943, kappa: 0.3118, kb_relative_information_score: 22.1719, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6919, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.719, kappa: 0.3726, kb_relative_information_score: 40.8913, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7173, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.7956, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6232, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5595, kappa: 0.0172, kb_relative_information_score: 17.2365, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5614, predictive_accuracy: 0.6291, prior_entropy: 0.9308, recall: 0.6291, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7338, kappa: 0.408, kb_relative_information_score: 46.0596, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7328, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.8578, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7265, kappa: 0.3904, kb_relative_information_score: 38.3249, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7251, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -0.1809, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6463, kappa: 0.1971, kb_relative_information_score: 41.9742, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6522, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7351, kappa: 0.4035, kb_relative_information_score: 37.7658, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7342, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 15.8045, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -0.1809, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.0159, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7302, kappa: 0.4068, kb_relative_information_score: 33.7447, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7325, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: 0.1868, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.5985, kappa: 0.0895, kb_relative_information_score: 24.0724, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5972, predictive_accuracy: 0.6358, prior_entropy: 0.9308, recall: 0.6358, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.6874, kappa: 0.2915, kb_relative_information_score: 21.5064, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6879, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6174, kappa: 0.1315, kb_relative_information_score: 13.2409, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6177, predictive_accuracy: 0.649, prior_entropy: 0.9308, recall: 0.649, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6676, kappa: 0.2452, kb_relative_information_score: 22.642, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6705, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.6357, kappa: 0.1727, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6367, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 26.4299, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7466, kappa: 0.4248, kb_relative_information_score: 29.2058, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7575, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7775, kappa: 0.5147, kb_relative_information_score: 53.1932, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7826, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7828, kappa: 0.5226, kb_relative_information_score: 69.6142, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7849, predictive_accuracy: 0.7815, prior_entropy: 0.9308, recall: 0.7815, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4732, f_measure: 0.4898, kappa: -0.0485, kb_relative_information_score: -31.1823, mean_absolute_error: 0.5232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5243, predictive_accuracy: 0.4768, prior_entropy: 0.9308, recall: 0.4768, relative_absolute_error: 1.157, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.7233, root_relative_squared_error: 1.5222, scimark_benchmark: 1280.301, usercpu_time_millis: 17937.5, usercpu_time_millis_training: 17937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.6357, kappa: 0.1727, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6367, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.7041, kappa: 0.3282, kb_relative_information_score: 30.3524, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7212, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9465, scimark_benchmark: 1787.9841, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.7041, kappa: 0.3282, kb_relative_information_score: 30.3524, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7212, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9465, scimark_benchmark: 1678.8925, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, scimark_benchmark: 1376.4169, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1382.575, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4732, f_measure: 0.4898, kappa: -0.0485, kb_relative_information_score: -31.1823, mean_absolute_error: 0.5232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5243, predictive_accuracy: 0.4768, prior_entropy: 0.9308, recall: 0.4768, relative_absolute_error: 1.157, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.7233, root_relative_squared_error: 1.5222, scimark_benchmark: 1602.1332, usercpu_time_millis: 6310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6706, kappa: 0.2527, kb_relative_information_score: 20.9862, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6715, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9759, scimark_benchmark: 1671.2677, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.6357, kappa: 0.1727, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6367, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231, scimark_benchmark: 1557.1862, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7648, kappa: 0.4673, kb_relative_information_score: 48.2888, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7701, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8981, scimark_benchmark: 1355.0176, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6706, kappa: 0.2527, kb_relative_information_score: 20.9862, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6715, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9759, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596, scimark_benchmark: 1365.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.7214, kappa: 0.3674, kb_relative_information_score: 32.8195, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7361, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9287, scimark_benchmark: 1318.0696, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6834, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664, scimark_benchmark: 1306.5334, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 65.2687, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0192, scimark_benchmark: 1275.9734, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6959, kappa: 0.3095, kb_relative_information_score: 29.6085, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7025, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9492, scimark_benchmark: 1202.7978, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 26.3433, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9713, scimark_benchmark: 573.5349, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.6131, kappa: 0.1226, kb_relative_information_score: 28.677, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6152, predictive_accuracy: 0.649, prior_entropy: 0.9308, recall: 0.649, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5924, root_relative_squared_error: 1.2468, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.6035, kappa: 0.1014, kb_relative_information_score: 26.3747, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6048, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2585, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6233, kappa: 0.1539, kb_relative_information_score: 7.4687, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6514, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0103, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7942, kappa: 0.5433, kb_relative_information_score: 53.9133, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7938, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8605, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.6676, kappa: 0.2452, kb_relative_information_score: 18.1172, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6705, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9733, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.6131, kappa: 0.1226, kb_relative_information_score: 28.677, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6152, predictive_accuracy: 0.649, prior_entropy: 0.9308, recall: 0.649, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5924, root_relative_squared_error: 1.2468, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.6035, kappa: 0.1014, kb_relative_information_score: 26.3747, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6048, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2585, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.7214, kappa: 0.3674, kb_relative_information_score: 32.8194, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7361, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9287, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6834, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 65.2687, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0192, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6959, kappa: 0.3095, kb_relative_information_score: 29.6085, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7025, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9492, 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: 0.6409, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 26.3433, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9713, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6233, kappa: 0.1539, kb_relative_information_score: 7.4687, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6514, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0103, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7942, kappa: 0.5433, kb_relative_information_score: 54.2539, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7938, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8558, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.6676, kappa: 0.2452, kb_relative_information_score: 18.1172, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6705, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9733, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6834, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.6943, kappa: 0.3118, kb_relative_information_score: 22.1719, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6919, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9787, 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: 0.6368, f_measure: 0.7214, kappa: 0.3674, kb_relative_information_score: 32.8191, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7361, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9287, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6959, kappa: 0.3095, kb_relative_information_score: 29.6085, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7025, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9492, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6959, kappa: 0.3095, kb_relative_information_score: 29.6085, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7025, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9492, 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: 0.607, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 20.5409, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9444, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1807, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9446, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.209, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9457, 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: 0.6051, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 20.6761, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9448, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.6357, kappa: 0.1727, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6367, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231, 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: 0.5351, f_measure: 0.5938, kappa: 0.08, kb_relative_information_score: 24.0724, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5938, predictive_accuracy: 0.6358, prior_entropy: 0.9308, recall: 0.6358, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2701, scimark_benchmark: 1295.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6834, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664, scimark_benchmark: 1069.273, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.6943, kappa: 0.3118, kb_relative_information_score: 22.1719, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6919, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9787, scimark_benchmark: 929.2312, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.6946, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.0159, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9528, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7158, kappa: 0.4136, kb_relative_information_score: 51.0393, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7528, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6894, kappa: 0.3138, kb_relative_information_score: 28.1405, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6902, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9267, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.0159, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9528, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7302, kappa: 0.4068, kb_relative_information_score: 33.7447, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7325, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9324, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6731, kappa: 0.2576, kb_relative_information_score: 44.7929, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6783, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1616, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7483, kappa: 0.4427, kb_relative_information_score: 63.2111, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7483, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0557, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.6357, kappa: 0.1727, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6367, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.6035, kappa: 0.1014, kb_relative_information_score: 26.3747, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6048, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2585, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.5691, kappa: 0.0565, kb_relative_information_score: 1.5044, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6093, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0067, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.6233, kappa: 0.1539, kb_relative_information_score: 7.4687, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6514, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0152, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.8578, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9428, scimark_benchmark: 1870.7932,

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