OpenML
Supervised Classification on rabe_166

Supervised Classification on rabe_166

Task 3782 Supervised Classification rabe_166 113 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.3861, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7746, kappa: 0.5477, kb_relative_information_score: 18.8622, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7751, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.417, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 22.8131, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.799, kappa: 0.597, kb_relative_information_score: 8.4196, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.802, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8748, kappa: 0.7487, kb_relative_information_score: 30.2604, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8756, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7487, kappa: 0.4962, kb_relative_information_score: 17.208, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7513, predictive_accuracy: 0.75, prior_entropy: 0.9984, recall: 0.75, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 26.4916, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 26.8659, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 24.2461, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.362, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 24.4893, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.799, kappa: 0.597, kb_relative_information_score: 24.6413, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.802, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.9, kappa: 0.8005, kb_relative_information_score: 30.223, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9984, recall: 0.9, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8751, kappa: 0.75, kb_relative_information_score: 26.0344, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8763, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 25.4993, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 25.4993, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8751, kappa: 0.75, kb_relative_information_score: 26.9243, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8763, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 24.4311, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8751, kappa: 0.75, kb_relative_information_score: 26.9243, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8763, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 28.5253, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 24.1994, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 22.0209, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, f_measure: 0.3615, kb_relative_information_score: -0.141, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9984, recall: 0.525, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8738, kappa: 0.7475, kb_relative_information_score: 24.9719, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8828, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8738, kappa: 0.7475, kb_relative_information_score: 24.9719, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8828, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8738, kappa: 0.7475, kb_relative_information_score: 24.9719, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8828, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 24.315, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.1123, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 25.3629, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 24.315, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.7729, kappa: 0.5455, kb_relative_information_score: 19.496, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7797, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 26.7039, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8751, kappa: 0.75, kb_relative_information_score: 26.9243, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8763, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9249, kappa: 0.8507, kb_relative_information_score: 30.1705, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9352, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 24.315, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.799, kappa: 0.597, kb_relative_information_score: 18.5206, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.802, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9, kappa: 0.8005, kb_relative_information_score: 30.1274, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9984, recall: 0.9, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9, kappa: 0.8005, kb_relative_information_score: 31.9672, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9984, recall: 0.9, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.799, kappa: 0.603, kb_relative_information_score: 23.941, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8143, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8955, scimark_benchmark: 1280.301, usercpu_time_millis: 289640.625, usercpu_time_millis_training: 289640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8247, kappa: 0.6482, kb_relative_information_score: 25.9475, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8254, predictive_accuracy: 0.825, prior_entropy: 0.9984, recall: 0.825, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8377, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 1.8688, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9984, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 20.1895, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7877, scimark_benchmark: 1787.9841, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 20.1895, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7877, scimark_benchmark: 1648.9165, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 1.8688, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9984, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 1631.5906, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8247, kappa: 0.6482, kb_relative_information_score: 25.9475, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8254, predictive_accuracy: 0.825, prior_entropy: 0.9984, recall: 0.825, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8377, scimark_benchmark: 1373.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.799, kappa: 0.603, kb_relative_information_score: 23.941, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8143, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8955, scimark_benchmark: 1371.0019, usercpu_time_millis: 1840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, scimark_benchmark: 1533.9144, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 25.0648, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6328, scimark_benchmark: 1671.2677, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 21.1014, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7442, scimark_benchmark: 1676.815, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 25.075, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6315, 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). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8751, kappa: 0.75, kb_relative_information_score: 26.9243, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8763, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6293, scimark_benchmark: 1349.1362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 21.1014, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7442, scimark_benchmark: 1271.5613, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 26.3836, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6338, scimark_benchmark: 1330.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9249, kappa: 0.8507, kb_relative_information_score: 32.6446, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9352, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5387, scimark_benchmark: 1312.2095, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.9, kappa: 0.8005, kb_relative_information_score: 31.9672, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9984, recall: 0.9, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6332, scimark_benchmark: 1143.4984, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7487, kappa: 0.4962, kb_relative_information_score: 17.208, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7513, predictive_accuracy: 0.75, prior_entropy: 0.9984, recall: 0.75, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8804, scimark_benchmark: 568.5996, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8, kappa: 0.601, kb_relative_information_score: 20.6654, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.804, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7911, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9249, kappa: 0.8507, kb_relative_information_score: 30.1705, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9352, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5507, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 26.8659, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6273, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 24.315, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7965, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8751, kappa: 0.75, kb_relative_information_score: 26.9243, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8763, predictive_accuracy: 0.875, prior_entropy: 0.9984, recall: 0.875, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6293, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, 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: 0.8521, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 21.1014, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7442, 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: 0.9549, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 26.3836, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6338, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9249, kappa: 0.8507, kb_relative_information_score: 32.6446, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9352, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5387, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.9, kappa: 0.8005, kb_relative_information_score: 31.9672, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9984, recall: 0.9, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6332, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7487, kappa: 0.4962, kb_relative_information_score: 17.208, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7513, predictive_accuracy: 0.75, prior_entropy: 0.9984, recall: 0.75, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8804, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8, kappa: 0.601, kb_relative_information_score: 20.6654, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.804, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7911, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9249, kappa: 0.8507, kb_relative_information_score: 30.1705, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9352, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5507, 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: 0.9549, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 26.8659, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6273, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 24.315, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7965, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 39.9521, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9984, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.007, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 37.9869, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3166, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 36.9962, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2253, 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: 0.9737, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 37.9869, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3166, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 37.9869, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3166, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 37.9869, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3166, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 37.9869, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3166, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.975, kappa: 0.9497, kb_relative_information_score: 36.9962, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2253, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 39.9521, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9984, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.007, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 33.9738, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5484, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756, scimark_benchmark: 936.5055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8, kappa: 0.599, kb_relative_information_score: 26.3836, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6338, scimark_benchmark: 1065.6737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7487, kappa: 0.4962, kb_relative_information_score: 17.208, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7513, predictive_accuracy: 0.75, prior_entropy: 0.9984, recall: 0.75, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8804, scimark_benchmark: 966.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 33.9738, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5484, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 33.9738, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5484, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 34.4573, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4048, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 34.4573, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4048, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 34.3553, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4111, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 34.3553, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9263, predictive_accuracy: 0.925, prior_entropy: 0.9984, recall: 0.925, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4111, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.975, kappa: 0.95, kb_relative_information_score: 38.1868, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.9763, predictive_accuracy: 0.975, prior_entropy: 0.9984, recall: 0.975, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2083, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs