OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14399 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14399 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8702, kappa: 0.8657, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8768, predictive_accuracy: 0.8708, prior_entropy: 4.7004, recall: 0.8708, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7857, kappa: 0.7758, kb_relative_information_score: 0.7818, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7945, predictive_accuracy: 0.7844, prior_entropy: 4.7004, recall: 0.7844, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7857, kappa: 0.7758, kb_relative_information_score: 0.7818, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7945, predictive_accuracy: 0.7844, prior_entropy: 4.7004, recall: 0.7844, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, kappa: 0.7854, kb_relative_information_score: 0.7911, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7936, prior_entropy: 4.7004, recall: 0.7936, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, kappa: 0.0098, kb_relative_information_score: 0.0364, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0478, prior_entropy: 4.7004, recall: 0.0478, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2706, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9617, kappa: 0.9597, kb_relative_information_score: 0.9608, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9634, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.2838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, kappa: 0.7854, kb_relative_information_score: 0.7911, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7936, prior_entropy: 4.7004, recall: 0.7936, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.3199, kappa: 0.2585, kb_relative_information_score: 0.2785, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.421, predictive_accuracy: 0.287, prior_entropy: 4.7004, recall: 0.287, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2342, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0117, kb_relative_information_score: 0.0383, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0498, prior_entropy: 4.7004, recall: 0.0498, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.846, kappa: 0.7878, kb_relative_information_score: 0.7935, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9363, predictive_accuracy: 0.7959, prior_entropy: 4.7004, recall: 0.7959, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7802, kappa: 0.7953, kb_relative_information_score: 0.8007, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7938, predictive_accuracy: 0.8031, prior_entropy: 4.7004, recall: 0.8031, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, kappa: 0.7855, kb_relative_information_score: 0.7912, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7938, prior_entropy: 4.7004, recall: 0.7938, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9312, kappa: 0.9286, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9326, predictive_accuracy: 0.9314, prior_entropy: 4.7004, recall: 0.9314, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.3199, kappa: 0.2585, kb_relative_information_score: 0.2785, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.421, predictive_accuracy: 0.287, prior_entropy: 4.7004, recall: 0.287, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2342, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.6385, kappa: 0.5182, kb_relative_information_score: 0.5311, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9037, predictive_accuracy: 0.5367, prior_entropy: 4.7004, recall: 0.5367, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9101, kappa: 0.9068, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9123, predictive_accuracy: 0.9104, prior_entropy: 4.7004, recall: 0.9104, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.083, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0117, kb_relative_information_score: 0.0383, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0498, prior_entropy: 4.7004, recall: 0.0498, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kappa: -0.0061, kb_relative_information_score: 0.0209, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0326, prior_entropy: 4.7004, recall: 0.0326, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2728, root_relative_squared_error: 1.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9681, kappa: 0.9668, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 4.7004, recall: 0.9681, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7802, kappa: 0.7953, kb_relative_information_score: 0.8007, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7938, predictive_accuracy: 0.8031, prior_entropy: 4.7004, recall: 0.8031, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.027, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, kappa: 0.0975, kb_relative_information_score: 0.1218, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1322, prior_entropy: 4.7004, recall: 0.1322, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2584, root_relative_squared_error: 1.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kappa: -0.0131, kb_relative_information_score: 0.0142, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0259, prior_entropy: 4.7004, recall: 0.0259, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.3199, kappa: 0.2585, kb_relative_information_score: 0.2785, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.421, predictive_accuracy: 0.287, prior_entropy: 4.7004, recall: 0.287, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2342, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0117, kb_relative_information_score: 0.0383, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0498, prior_entropy: 4.7004, recall: 0.0498, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, kappa: 0.7875, kb_relative_information_score: 0.7931, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7957, prior_entropy: 4.7004, recall: 0.7957, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, kappa: 0.0043, kb_relative_information_score: 0.0311, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0426, prior_entropy: 4.7004, recall: 0.0426, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.2152, kappa: 0.1822, kb_relative_information_score: 0.2042, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.3532, predictive_accuracy: 0.2137, prior_entropy: 4.7004, recall: 0.2137, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2459, root_relative_squared_error: 1.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, kappa: 0.7855, kb_relative_information_score: 0.7912, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7938, prior_entropy: 4.7004, recall: 0.7938, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kappa: 0.0105, kb_relative_information_score: 0.0372, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0486, prior_entropy: 4.7004, recall: 0.0486, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2705, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9737, kappa: 0.9727, kb_relative_information_score: 0.9734, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9737, prior_entropy: 4.7004, recall: 0.9737, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, kappa: 0.7828, kb_relative_information_score: 0.7886, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7912, prior_entropy: 4.7004, recall: 0.7912, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9312, kappa: 0.9286, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9326, predictive_accuracy: 0.9314, prior_entropy: 4.7004, recall: 0.9314, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, kappa: 0.0165, kb_relative_information_score: 0.043, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0544, prior_entropy: 4.7004, recall: 0.0544, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2697, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9681, kappa: 0.9668, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 4.7004, recall: 0.9681, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 0.9609, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9616, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, kappa: 0.7854, kb_relative_information_score: 0.7911, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7936, prior_entropy: 4.7004, recall: 0.7936, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9719, kappa: 0.9708, kb_relative_information_score: 0.9716, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 4.7004, recall: 0.9719, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.2417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, kappa: 0.0098, kb_relative_information_score: 0.0364, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0478, prior_entropy: 4.7004, recall: 0.0478, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2706, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0009, kb_relative_information_score: 0.026, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0376, prior_entropy: 4.7004, recall: 0.0376, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9101, kappa: 0.9068, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9123, predictive_accuracy: 0.9104, prior_entropy: 4.7004, recall: 0.9104, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.083, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9541, kappa: 0.9522, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9551, predictive_accuracy: 0.9541, prior_entropy: 4.7004, recall: 0.9541, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9695, kappa: 0.9683, kb_relative_information_score: 0.9691, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9698, predictive_accuracy: 0.9695, prior_entropy: 4.7004, recall: 0.9695, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, kappa: 0.0538, kb_relative_information_score: 0.0792, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0902, prior_entropy: 4.7004, recall: 0.0902, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 0.9609, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9616, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9681, kappa: 0.9668, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 4.7004, recall: 0.9681, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9737, kappa: 0.9727, kb_relative_information_score: 0.9734, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9737, prior_entropy: 4.7004, recall: 0.9737, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9681, kappa: 0.9668, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 4.7004, recall: 0.9681, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9749, kappa: 0.9739, kb_relative_information_score: 0.9746, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 4.7004, recall: 0.9749, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9647, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.7004, recall: 0.9651, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9719, kappa: 0.9708, kb_relative_information_score: 0.9716, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 4.7004, recall: 0.9719, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.2417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9699, kappa: 0.9687, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.9699, prior_entropy: 4.7004, recall: 0.9699, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 0.0741, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0852, prior_entropy: 4.7004, recall: 0.0852, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2653, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7857, kappa: 0.7758, kb_relative_information_score: 0.7818, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7945, predictive_accuracy: 0.7844, prior_entropy: 4.7004, recall: 0.7844, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, kappa: 0.0159, kb_relative_information_score: 0.0424, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0537, prior_entropy: 4.7004, recall: 0.0537, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2698, root_relative_squared_error: 1.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9692, kappa: 0.968, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 4.7004, recall: 0.9692, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kappa: 0.7848, kb_relative_information_score: 0.7905, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7931, prior_entropy: 4.7004, recall: 0.7931, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 0.9609, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9616, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8996, kappa: 0.896, kb_relative_information_score: 0.8988, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9021, predictive_accuracy: 0.9, prior_entropy: 4.7004, recall: 0.9, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7802, kappa: 0.7953, kb_relative_information_score: 0.8007, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7938, predictive_accuracy: 0.8031, prior_entropy: 4.7004, recall: 0.8031, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9737, kappa: 0.9727, kb_relative_information_score: 0.9734, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9737, prior_entropy: 4.7004, recall: 0.9737, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kappa: -0.002, kb_relative_information_score: 0.025, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0366, prior_entropy: 4.7004, recall: 0.0366, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2722, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9632, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.6385, kappa: 0.5182, kb_relative_information_score: 0.5311, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9037, predictive_accuracy: 0.5367, prior_entropy: 4.7004, recall: 0.5367, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9674, kappa: 0.966, kb_relative_information_score: 0.9669, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9677, predictive_accuracy: 0.9673, prior_entropy: 4.7004, recall: 0.9673, relative_absolute_error: 0.034, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9692, kappa: 0.968, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 4.7004, recall: 0.9692, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kappa: 0.0029, kb_relative_information_score: 0.0298, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0413, prior_entropy: 4.7004, recall: 0.0413, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9737, kappa: 0.9727, kb_relative_information_score: 0.9734, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9737, prior_entropy: 4.7004, recall: 0.9737, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, kappa: 0.785, kb_relative_information_score: 0.7907, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7933, prior_entropy: 4.7004, recall: 0.7933, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kappa: -0.0131, kb_relative_information_score: 0.0142, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0259, prior_entropy: 4.7004, recall: 0.0259, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9669, kappa: 0.9656, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9673, predictive_accuracy: 0.9669, prior_entropy: 4.7004, recall: 0.9669, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kappa: 0.7848, kb_relative_information_score: 0.7905, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7931, prior_entropy: 4.7004, recall: 0.7931, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.656,

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

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From your own software

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

OpenML APIs