Task
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 16633 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_98 study_99
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16633 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9938, kappa: 0.9932, kb_relative_information_score: 0.9936, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9939, predictive_accuracy: 0.9938, prior_entropy: 3.4594, recall: 0.9938, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9933, kappa: 0.9926, kb_relative_information_score: 0.993, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.4594, recall: 0.9933, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9933, kappa: 0.9926, kb_relative_information_score: 0.993, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.4594, recall: 0.9933, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9933, kappa: 0.9926, kb_relative_information_score: 0.993, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.4594, recall: 0.9933, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9114, kappa: 0.8902, kb_relative_information_score: 0.8962, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9396, predictive_accuracy: 0.9002, prior_entropy: 3.4594, recall: 0.9002, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9926, kappa: 0.9918, kb_relative_information_score: 0.9922, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9926, predictive_accuracy: 0.9925, prior_entropy: 3.4594, recall: 0.9925, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.1281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9933, kappa: 0.9926, kb_relative_information_score: 0.993, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.4594, recall: 0.9933, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9893, kappa: 0.9882, kb_relative_information_score: 0.9888, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 3.4594, recall: 0.9893, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9066, kappa: 0.8844, kb_relative_information_score: 0.8907, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9332, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9936, kappa: 0.993, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.4594, recall: 0.9936, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9936, kappa: 0.993, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.4594, recall: 0.9936, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9264, kappa: 0.9084, kb_relative_information_score: 0.9134, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9523, predictive_accuracy: 0.9167, prior_entropy: 3.4594, recall: 0.9167, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.123, root_relative_squared_error: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9958, kappa: 0.9954, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 3.4594, recall: 0.9958, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9933, kappa: 0.9926, kb_relative_information_score: 0.993, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.4594, recall: 0.9933, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9936, kappa: 0.993, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.4594, recall: 0.9936, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9938, kappa: 0.9932, kb_relative_information_score: 0.9936, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9939, predictive_accuracy: 0.9938, prior_entropy: 3.4594, recall: 0.9938, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9927, kappa: 0.992, kb_relative_information_score: 0.9924, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 3.4594, recall: 0.9927, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9938, kappa: 0.9932, kb_relative_information_score: 0.9936, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 3.4594, recall: 0.9938, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9936, kappa: 0.993, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.4594, recall: 0.9936, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9947, kappa: 0.9942, kb_relative_information_score: 0.9945, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 3.4594, recall: 0.9947, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.031, root_relative_squared_error: 0.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9852, kappa: 0.9836, kb_relative_information_score: 0.9845, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.986, predictive_accuracy: 0.9851, prior_entropy: 3.4594, recall: 0.9851, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9902, kappa: 0.9892, kb_relative_information_score: 0.9898, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9903, predictive_accuracy: 0.9902, prior_entropy: 3.4594, recall: 0.9902, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.992, kappa: 0.9912, kb_relative_information_score: 0.9917, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 3.4594, recall: 0.992, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9947, kappa: 0.9942, kb_relative_information_score: 0.9945, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 3.4594, recall: 0.9947, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.031, root_relative_squared_error: 0.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9953, kappa: 0.9948, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 3.4594, recall: 0.9953, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0293, root_relative_squared_error: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9913, kappa: 0.9904, kb_relative_information_score: 0.9909, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.4594, recall: 0.9913, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0398, root_relative_squared_error: 0.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9951, kappa: 0.9946, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 3.4594, recall: 0.9951, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0299, root_relative_squared_error: 0.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.994, kappa: 0.9934, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.4594, recall: 0.994, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.033, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9941, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, recall: 0.9944, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.032, root_relative_squared_error: 0.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9922, kappa: 0.9914, kb_relative_information_score: 0.9919, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 3.4594, recall: 0.9922, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7387, kappa: 0.6772, kb_relative_information_score: 0.6949, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8198, predictive_accuracy: 0.7065, prior_entropy: 3.4594, recall: 0.7065, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.231, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9941, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, recall: 0.9944, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.032, root_relative_squared_error: 0.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.994, kappa: 0.9934, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.4594, recall: 0.994, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.033, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9941, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, recall: 0.9944, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.032, root_relative_squared_error: 0.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9936, kappa: 0.993, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.4594, recall: 0.9936, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.4594, recall: 0.9935, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 0.9953, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.4594, recall: 0.9955, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9475, kappa: 0.9386, kb_relative_information_score: 0.942, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9576, predictive_accuracy: 0.9442, prior_entropy: 3.4594, recall: 0.9442, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9941, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, recall: 0.9944, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.032, root_relative_squared_error: 0.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 0.9953, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.4594, recall: 0.9955, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9931, kappa: 0.9924, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.4594, recall: 0.9931, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9936, kappa: 0.993, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.4594, recall: 0.9936, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9264, kappa: 0.9084, kb_relative_information_score: 0.9134, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9523, predictive_accuracy: 0.9167, prior_entropy: 3.4594, recall: 0.9167, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.123, root_relative_squared_error: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9958, kappa: 0.9954, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 3.4594, recall: 0.9958, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9951, kappa: 0.9946, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 3.4594, recall: 0.9951, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0299, root_relative_squared_error: 0.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9947, kappa: 0.9942, kb_relative_information_score: 0.9945, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 3.4594, recall: 0.9947, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.031, root_relative_squared_error: 0.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9941, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, recall: 0.9944, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.032, root_relative_squared_error: 0.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.994, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, recall: 0.9942, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9947, kappa: 0.9942, kb_relative_information_score: 0.9945, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 3.4594, recall: 0.9947, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.031, root_relative_squared_error: 0.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9938, kappa: 0.9932, kb_relative_information_score: 0.9936, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 3.4594, recall: 0.9938, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9927, kappa: 0.992, kb_relative_information_score: 0.9924, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 3.4594, recall: 0.9927, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9943, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, recall: 0.9945, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.1095,

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