Task
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 20390 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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20390 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9989, kappa: 0.9988, kb_relative_information_score: 0.9989, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 3.4594, recall: 0.9989, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0141, root_relative_squared_error: 0.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9967, kappa: 0.9964, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 3.4594, recall: 0.9967, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7889, kappa: 0.7758, kb_relative_information_score: 0.7881, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8059, predictive_accuracy: 0.7962, prior_entropy: 3.4594, recall: 0.7962, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, kappa: -0.1, kb_relative_information_score: -0.0397, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, prior_entropy: 3.4594, relative_absolute_error: 1.1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9976, kappa: 0.9974, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 3.4594, recall: 0.9976, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0207, root_relative_squared_error: 0.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9911, kappa: 0.9902, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.4594, recall: 0.9911, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9867, kappa: 0.9854, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 3.4594, recall: 0.9867, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9978, kappa: 0.9976, kb_relative_information_score: 0.9977, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.4594, recall: 0.9978, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0199, root_relative_squared_error: 0.0693,
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: 0.9982, f_measure: 0.9967, kappa: 0.9964, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 3.4594, recall: 0.9967, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.3046, kappa: 0.2192, kb_relative_information_score: 0.262, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4515, predictive_accuracy: 0.2902, prior_entropy: 3.4594, recall: 0.2902, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3592, root_relative_squared_error: 1.2496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9982, kappa: 0.998, kb_relative_information_score: 0.9981, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 3.4594, recall: 0.9982, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0182, root_relative_squared_error: 0.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9709, kappa: 0.968, kb_relative_information_score: 0.9698, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9711, predictive_accuracy: 0.9709, prior_entropy: 3.4594, recall: 0.9709, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9978, kappa: 0.9976, kb_relative_information_score: 0.9977, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.4594, recall: 0.9978, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0199, root_relative_squared_error: 0.0693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.999, kb_relative_information_score: 0.9991, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 3.4594, recall: 0.9991, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.0447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9796, kappa: 0.977, kb_relative_information_score: 0.9783, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9817, predictive_accuracy: 0.9791, prior_entropy: 3.4594, recall: 0.9791, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9812, kappa: 0.9788, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9829, predictive_accuracy: 0.9807, prior_entropy: 3.4594, recall: 0.9807, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.2059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9749, kappa: 0.9714, kb_relative_information_score: 0.973, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9782, predictive_accuracy: 0.974, prior_entropy: 3.4594, recall: 0.974, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2392,
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: 0.9873, f_measure: 0.9776, kappa: 0.9746, kb_relative_information_score: 0.976, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9802, predictive_accuracy: 0.9769, prior_entropy: 3.4594, recall: 0.9769, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9973, kappa: 0.997, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 3.4594, recall: 0.9973, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9964, kappa: 0.996, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 3.4594, recall: 0.9964, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9956, kappa: 0.9952, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 3.4594, recall: 0.9956, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.098,
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: 0.9958, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.9921, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, recall: 0.9924, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1296,
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: 0.9958, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.9921, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, recall: 0.9924, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9625, kappa: 0.9564, kb_relative_information_score: 0.9588, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9701, predictive_accuracy: 0.9604, prior_entropy: 3.4594, recall: 0.9604, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9784, kappa: 0.9756, kb_relative_information_score: 0.9769, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9808, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9825, kappa: 0.9804, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9838, predictive_accuracy: 0.9822, prior_entropy: 3.4594, recall: 0.9822, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9879, kappa: 0.9866, kb_relative_information_score: 0.9873, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9883, predictive_accuracy: 0.9878, prior_entropy: 3.4594, recall: 0.9878, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.686, kappa: 0.5778, kb_relative_information_score: 0.6009, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9265, predictive_accuracy: 0.6162, prior_entropy: 3.4594, recall: 0.6162, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9975, kappa: 0.9972, kb_relative_information_score: 0.9974, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 3.4594, recall: 0.9975, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9982, kappa: 0.998, kb_relative_information_score: 0.9981, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 3.4594, recall: 0.9982, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0182, root_relative_squared_error: 0.0632,
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: 0.9392, f_measure: 0.8916, kappa: 0.8784, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8988, predictive_accuracy: 0.8895, prior_entropy: 3.4594, recall: 0.8895, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6706, kappa: 0.6336, kb_relative_information_score: 0.6537, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7188, predictive_accuracy: 0.6669, prior_entropy: 3.4594, recall: 0.6669, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.5335, kappa: 0.5376, kb_relative_information_score: 0.5629, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.6919, predictive_accuracy: 0.5796, prior_entropy: 3.4594, recall: 0.5796, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.4455, kappa: 0.3882, kb_relative_information_score: 0.4217, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.4867, predictive_accuracy: 0.4438, prior_entropy: 3.4594, recall: 0.4438, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.318, root_relative_squared_error: 1.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.6818, kappa: 0.6474, kb_relative_information_score: 0.6667, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7287, predictive_accuracy: 0.6795, prior_entropy: 3.4594, recall: 0.6795, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.6829, kappa: 0.6492, kb_relative_information_score: 0.6684, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.7166, predictive_accuracy: 0.6811, prior_entropy: 3.4594, recall: 0.6811, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9976, kappa: 0.9974, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 3.4594, recall: 0.9976, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0207, root_relative_squared_error: 0.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9986, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.996, kappa: 0.9956, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, recall: 0.996, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0938,
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: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
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: 0.9933, f_measure: 0.9878, kappa: 0.9866, kb_relative_information_score: 0.9873, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 3.4594, recall: 0.9878, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9964, kappa: 0.996, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 3.4594, recall: 0.9964, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9964, kappa: 0.996, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 3.4594, recall: 0.9964, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.996, kappa: 0.9956, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, recall: 0.996, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9798, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9875, kappa: 0.9862, kb_relative_information_score: 0.987, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 3.4594, recall: 0.9875, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9833, kappa: 0.9816, kb_relative_information_score: 0.9826, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 3.4594, recall: 0.9833, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9763, kappa: 0.974, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 3.4594, recall: 0.9764, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9762, kappa: 0.9738, kb_relative_information_score: 0.9752, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 3.4594, recall: 0.9762, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9824, kappa: 0.9806, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.4594, recall: 0.9824, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.935, kappa: 0.9286, kb_relative_information_score: 0.9325, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9364, predictive_accuracy: 0.9351, prior_entropy: 3.4594, recall: 0.9351, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9533, kappa: 0.9486, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9541, predictive_accuracy: 0.9533, prior_entropy: 3.4594, recall: 0.9533, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9669, kappa: 0.9636, kb_relative_information_score: 0.9656, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9671, predictive_accuracy: 0.9669, prior_entropy: 3.4594, recall: 0.9669, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.929, kappa: 0.922, kb_relative_information_score: 0.9263, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9308, predictive_accuracy: 0.9291, prior_entropy: 3.4594, recall: 0.9291, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9158, kappa: 0.9078, kb_relative_information_score: 0.9129, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 3.4594, recall: 0.9162, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.4294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9803, kappa: 0.9784, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 3.4594, recall: 0.9804, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.2078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9975, kappa: 0.9972, kb_relative_information_score: 0.9974, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 3.4594, recall: 0.9975, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0748,
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: 0.9986, f_measure: 0.9975, kappa: 0.9972, kb_relative_information_score: 0.9974, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 3.4594, recall: 0.9975, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9975, kappa: 0.9972, kb_relative_information_score: 0.9974, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 3.4594, recall: 0.9975, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0748,
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: 0.9989, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, recall: 0.998, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9756, kappa: 0.9732, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9758, predictive_accuracy: 0.9756, prior_entropy: 3.4594, recall: 0.9756, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9993, kappa: 0.9992, kb_relative_information_score: 0.9992, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 3.4594, recall: 0.9993, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0115, root_relative_squared_error: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9978, kappa: 0.9976, kb_relative_information_score: 0.9977, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.4594, recall: 0.9978, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0199, root_relative_squared_error: 0.0693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9984, kappa: 0.9982, kb_relative_information_score: 0.9983, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 3.4594, recall: 0.9984, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9984, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 3.4594, recall: 0.9985, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9976, kappa: 0.9974, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 3.4594, recall: 0.9976, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0207, root_relative_squared_error: 0.0721,

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