OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 566.3384, build_memory: 596401389.0131, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 824.8557, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1789, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 141.05, build_memory: 573605218.8347, f_measure: 0.9715, kappa: 0.9584, kb_relative_information_score: 804.3611, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2674, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 16.2488, build_memory: 1575507847.0963, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 827.7771, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1726, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 8.1437, build_memory: 1016340691.3389, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 821.2897, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2058, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 4.1119, build_memory: 1548662530.0452, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 819.2755, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.221, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 6.4059, build_memory: 1179179863.3532, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 820.8801, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2118, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 26.1137, build_memory: 444582276.4614, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 827.688, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1764, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 134.4381, build_memory: 1100033640.0856, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 828.0686, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1663, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 58.8985, build_memory: 469804906.692, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 827.3616, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1674, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 33.311, build_memory: 841888185.7598, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 830.661, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.147, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 17.4638, build_memory: 622434586.5684, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.5577, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1441, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 32.8214, build_memory: 1586817135.8859, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 833.7505, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 61.5504, build_memory: 305508015.1344, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 834.883, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1177, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 120.676, build_memory: 933950991.5434, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 837.4136, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0837, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 288.2298, build_memory: 767870879.7907, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 820.4162, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1945, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 1.5323, build_memory: 1647899449.6552, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 826.823, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.1681, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 1.5137, build_memory: 968339818.9489, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 826.823, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.1681, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 33.9814, build_memory: 630026158.5065, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.0584, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1097, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 15.8162, build_memory: 235437264.3044, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 826.6532, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1111, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.004, build_memory: 1747719611.1772, f_measure: 0.8512, kappa: 0.8193, kb_relative_information_score: 509.8069, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8318, predictive_accuracy: 0.8775, prior_entropy: 1.7898, recall: 0.8775, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.6411, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 0.0058, build_memory: 36719042.9013, f_measure: 0.8567, kappa: 0.828, kb_relative_information_score: 506.7987, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8364, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6463, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 0.0111, build_memory: 1931339722.635, f_measure: 0.859, kappa: 0.8314, kb_relative_information_score: 501.9891, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8386, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6534, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 0.0113, build_memory: 1559491972.8609, f_measure: 0.859, kappa: 0.8314, kb_relative_information_score: 501.9891, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8386, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6534, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.0203, build_memory: 598318501.4316, f_measure: 0.859, kappa: 0.8314, kb_relative_information_score: 500.1234, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8384, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6581, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 0.051, build_memory: 86032485.9453, f_measure: 0.8547, kappa: 0.8245, kb_relative_information_score: 504.0344, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8351, predictive_accuracy: 0.8811, prior_entropy: 1.7898, recall: 0.8811, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.6507, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 5373.7261, build_memory: 978492988.7467, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 831.1482, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.0888, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2690.7011, build_memory: 907284245.2033, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 831.2616, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.0877, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 783.2482, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 828.0782, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 831.2805, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 833.9829, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 830.2169, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9681, kappa: 0.9534, kb_relative_information_score: 800.9783, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9687, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9655, kappa: 0.9498, kb_relative_information_score: 694.5225, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9655, kappa: 0.9498, kb_relative_information_score: 769.6596, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 829.6251, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 830.4652, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 369.0907, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 827.1178, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 783.2482, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 826.1149, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 369.1143, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 368.7927, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 823.1504, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9405, kappa: 0.9136, kb_relative_information_score: 765.1526, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 821.163, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9573, kappa: 0.9378, kb_relative_information_score: 765.4448, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 814.7729, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.5337, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 828.9482, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.068, root_relative_squared_error: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 833.0909, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 812.0937, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9833, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 809.5849, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 365.4504, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 368.8079, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 822.49, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.981, kappa: 0.9724, kb_relative_information_score: 805.0674, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9813, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7387, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 693.8828, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.938, kappa: 0.9099, kb_relative_information_score: 723.907, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9387, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 663.6074, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kb_relative_information_score: 2.1706, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 736.8998, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9655, kappa: 0.9497, kb_relative_information_score: 697.6061, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 818.5973, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9846, kappa: 0.9776, kb_relative_information_score: 808.5952, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.985, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 809.4018, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9838, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 689.4303, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9705, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9595, kappa: 0.9412, kb_relative_information_score: 760.5635, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 714.0899, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 721.3205, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9659, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.7183, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.5071, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, kappa: 0.2594, kb_relative_information_score: 148.6631, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4994, prior_entropy: 1.7898, recall: 0.4994, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 359.9307, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9679, kappa: 0.9532, kb_relative_information_score: 744.1293, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 757.2696, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 733.6117, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9578, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 668.5744, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9331, kappa: 0.9029, kb_relative_information_score: 721.2969, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9333, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 284.218, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.957, kappa: 0.9376, kb_relative_information_score: 734.2996, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9579, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9344, kappa: 0.9048, kb_relative_information_score: 85.7327, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9345, predictive_accuracy: 0.9346, prior_entropy: 1.7898, recall: 0.9346, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9439, kappa: 0.9185, kb_relative_information_score: 729.9453, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9446, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 442.212, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.969, kappa: 0.955, kb_relative_information_score: 739.9304, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.4305, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.1819, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 718.9064, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 739.163, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9629, kappa: 0.9462, kb_relative_information_score: 728.4821, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9637, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.957, kappa: 0.9376, kb_relative_information_score: 766.8987, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9578, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 817.4802, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.1294, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9405, kappa: 0.9133, kb_relative_information_score: 712.5918, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.0695, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9757, kb_relative_information_score: 56.9586, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 1.0316, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9249, kappa: 0.8908, kb_relative_information_score: 721.9149, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9258, predictive_accuracy: 0.9251, prior_entropy: 1.7898, recall: 0.9251, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3873,

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

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

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

OpenML APIs