Task
Supervised Classification on tr31.wc

Supervised Classification on tr31.wc

Task 3520 Supervised Classification tr31.wc 74 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

74 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 569.6908, build_memory: 2355502646.0496, f_measure: 0.9556, kappa: 0.9422, kb_relative_information_score: 847.3487, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9553, predictive_accuracy: 0.9569, prior_entropy: 2.2393, recall: 0.9569, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.3039, scimark_benchmark: 941.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.625, kappa: 0.5351, kb_relative_information_score: 100.407, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.7138, predictive_accuracy: 0.6775, prior_entropy: 2.2393, recall: 0.6775, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9695, scimark_benchmark: 931.4202, usercpu_time_millis: 20100, usercpu_time_millis_testing: 16440, usercpu_time_millis_training: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9898, kappa: 0.987, kb_relative_information_score: 906.3583, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9893, predictive_accuracy: 0.9903, prior_entropy: 2.2393, recall: 0.9903, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1611, scimark_benchmark: 910.8389, usercpu_time_millis: 5503600, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 5503030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9908, kappa: 0.9885, kb_relative_information_score: 907.551, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9904, predictive_accuracy: 0.9914, prior_entropy: 2.2393, recall: 0.9914, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1517, scimark_benchmark: 917.1386, usercpu_time_millis: 11206890, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 11205910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9876, kappa: 0.9842, kb_relative_information_score: 903.1318, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9872, predictive_accuracy: 0.9881, prior_entropy: 2.2393, recall: 0.9881, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.175, scimark_benchmark: 770.3451, usercpu_time_millis: 2538770, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 2538530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: 333.0649, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.8064, scimark_benchmark: 901.0726, usercpu_time_millis: 4790, usercpu_time_millis_training: 4790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9761, kappa: 0.9697, kb_relative_information_score: 839.4235, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9754, predictive_accuracy: 0.9773, prior_entropy: 2.2393, recall: 0.9773, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.2763, scimark_benchmark: 936.7115, usercpu_time_millis: 3061070, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3060940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9688, kappa: 0.9596, kb_relative_information_score: 848.3842, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9684, predictive_accuracy: 0.9698, prior_entropy: 2.2393, recall: 0.9698, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2724, scimark_benchmark: 935.8834, usercpu_time_millis: 439560, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 439480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.209, kb_relative_information_score: 150.105, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.1442, predictive_accuracy: 0.3797, prior_entropy: 2.2393, recall: 0.3797, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.421, root_relative_squared_error: 1.2862, scimark_benchmark: 933.8635, usercpu_time_millis: 940, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9887, kappa: 0.9856, kb_relative_information_score: 897.9944, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9882, predictive_accuracy: 0.9892, prior_entropy: 2.2393, recall: 0.9892, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.152, scimark_benchmark: 923.3111, usercpu_time_millis: 602710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 602700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.209, kb_relative_information_score: 0.3856, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.1442, predictive_accuracy: 0.3797, prior_entropy: 2.2393, recall: 0.3797, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3273, root_relative_squared_error: 1, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8665, kappa: 0.8288, kb_relative_information_score: 618.2181, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8782, predictive_accuracy: 0.8749, prior_entropy: 2.2393, recall: 0.8749, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.5716, scimark_benchmark: 932.3943, usercpu_time_millis: 2990, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.209, kb_relative_information_score: 0.3856, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.1442, predictive_accuracy: 0.3797, prior_entropy: 2.2393, recall: 0.3797, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3273, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9887, kappa: 0.9856, kb_relative_information_score: 898.1969, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9882, predictive_accuracy: 0.9892, prior_entropy: 2.2393, recall: 0.9892, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1516, scimark_benchmark: 931.2336, usercpu_time_millis: 558020, usercpu_time_millis_training: 558020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9925, kappa: 0.9914, kb_relative_information_score: 907.5094, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9914, predictive_accuracy: 0.9935, prior_entropy: 2.2393, recall: 0.9935, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.1224, scimark_benchmark: 932.3943, usercpu_time_millis: 1207840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1207830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9957, kappa: 0.9957, kb_relative_information_score: 912.1555, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9946, predictive_accuracy: 0.9968, prior_entropy: 2.2393, recall: 0.9968, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0966, scimark_benchmark: 943.2817, usercpu_time_millis: 2479500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2479490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9946, kappa: 0.9942, kb_relative_information_score: 912.4811, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9935, predictive_accuracy: 0.9957, prior_entropy: 2.2393, recall: 0.9957, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.1019, scimark_benchmark: 933.1776, usercpu_time_millis: 4962640, usercpu_time_millis_training: 4962640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9667, kappa: 0.9568, kb_relative_information_score: 881.2694, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.966, predictive_accuracy: 0.9676, prior_entropy: 2.2393, recall: 0.9676, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.2928, scimark_benchmark: 938.4278, usercpu_time_millis: 9683340, usercpu_time_millis_training: 9683340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 939.7623, usercpu_time_millis: 16580, usercpu_time_millis_training: 16580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 933.8635, usercpu_time_millis: 16530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 16520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 938.2848, usercpu_time_millis: 16140, usercpu_time_millis_training: 16140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 936.7115, usercpu_time_millis: 16740, usercpu_time_millis_training: 16740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 936.7115, usercpu_time_millis: 16640, usercpu_time_millis_training: 16640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8299, kappa: 0.7556, kb_relative_information_score: 629.8389, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8657, predictive_accuracy: 0.8123, prior_entropy: 2.2393, recall: 0.8123, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6324, scimark_benchmark: 941.7954, usercpu_time_millis: 395590, usercpu_time_millis_testing: 115200, usercpu_time_millis_training: 280390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8299, kappa: 0.7556, kb_relative_information_score: 629.8389, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8657, predictive_accuracy: 0.8123, prior_entropy: 2.2393, recall: 0.8123, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6324, scimark_benchmark: 941.7954, usercpu_time_millis: 391830, usercpu_time_millis_testing: 113580, usercpu_time_millis_training: 278250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8297, kappa: 0.7554, kb_relative_information_score: 634.0065, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8656, predictive_accuracy: 0.8123, prior_entropy: 2.2393, recall: 0.8123, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6333, scimark_benchmark: 943.2817, usercpu_time_millis: 387190, usercpu_time_millis_testing: 112730, usercpu_time_millis_training: 274460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8402, kappa: 0.7685, kb_relative_information_score: 686.062, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8721, predictive_accuracy: 0.822, prior_entropy: 2.2393, recall: 0.822, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.6407, scimark_benchmark: 941.7954, usercpu_time_millis: 394040, usercpu_time_millis_testing: 115090, usercpu_time_millis_training: 278950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8445, kappa: 0.7754, kb_relative_information_score: 719.1438, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8744, predictive_accuracy: 0.8285, prior_entropy: 2.2393, recall: 0.8285, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6331, scimark_benchmark: 889.9795, usercpu_time_millis: 668460, usercpu_time_millis_testing: 230160, usercpu_time_millis_training: 438300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9347, kappa: 0.9137, kb_relative_information_score: 833.8198, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9342, predictive_accuracy: 0.9353, prior_entropy: 2.2393, recall: 0.9353, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4086, scimark_benchmark: 1465.2979, usercpu_time_millis: 32410, usercpu_time_millis_training: 32410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.209, kb_relative_information_score: 0.3856, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.1442, predictive_accuracy: 0.3797, prior_entropy: 2.2393, recall: 0.3797, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3273, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.925, kappa: 0.9019, kb_relative_information_score: 824.496, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9257, predictive_accuracy: 0.9266, prior_entropy: 2.2393, recall: 0.9266, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4423, scimark_benchmark: 1345.5871, usercpu_time_millis: 224360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 224350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: 370.2053, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3404, root_relative_squared_error: 1.0401, scimark_benchmark: 1466.6185, usercpu_time_millis: 2430, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9322, kappa: 0.9106, kb_relative_information_score: 829.0418, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9319, predictive_accuracy: 0.9331, prior_entropy: 2.2393, recall: 0.9331, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4201, scimark_benchmark: 1466.6185, usercpu_time_millis: 60670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.2251, kappa: 0.0147, kb_relative_information_score: 159.3257, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.7408, predictive_accuracy: 0.3873, prior_entropy: 2.2393, recall: 0.3873, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.2784, scimark_benchmark: 1335.643, usercpu_time_millis: 76140, usercpu_time_millis_testing: 13730, usercpu_time_millis_training: 62410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9185, kappa: 0.8934, kb_relative_information_score: 810.6918, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9231, predictive_accuracy: 0.9213, prior_entropy: 2.2393, recall: 0.9213, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4583, scimark_benchmark: 1066.7184, usercpu_time_millis: 197320, usercpu_time_millis_testing: 97040, usercpu_time_millis_training: 100280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9308, kappa: 0.909, kb_relative_information_score: 823.0575, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9312, predictive_accuracy: 0.932, prior_entropy: 2.2393, recall: 0.932, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.3986, scimark_benchmark: 1290.1085, usercpu_time_millis: 153930, usercpu_time_millis_training: 153930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.907, kappa: 0.8788, kb_relative_information_score: 782.487, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9068, predictive_accuracy: 0.9094, prior_entropy: 2.2393, recall: 0.9094, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.448, scimark_benchmark: 1318.1432, usercpu_time_millis: 14070, usercpu_time_millis_training: 14070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6444, kappa: 0.5269, kb_relative_information_score: 502.4712, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.6461, predictive_accuracy: 0.644, prior_entropy: 2.2393, recall: 0.644, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9744, scimark_benchmark: 1280.6952, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9215, kappa: 0.8989, kb_relative_information_score: 590.1211, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9281, predictive_accuracy: 0.9256, prior_entropy: 2.2393, recall: 0.9256, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5669, scimark_benchmark: 1319.5177, usercpu_time_millis: 16910, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 16470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9795, kappa: 0.9741, kb_relative_information_score: 892.1297, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9784, predictive_accuracy: 0.9806, prior_entropy: 2.2393, recall: 0.9806, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2276, scimark_benchmark: 942.9708, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.986, kappa: 0.9827, kb_relative_information_score: 901.9232, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9852, predictive_accuracy: 0.9871, prior_entropy: 2.2393, recall: 0.9871, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1686, scimark_benchmark: 880.8372, usercpu_time_millis: 425000, usercpu_time_millis_testing: 2950, usercpu_time_millis_training: 422050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9038, kappa: 0.874, kb_relative_information_score: 184.5215, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9035, predictive_accuracy: 0.9061, prior_entropy: 2.2393, recall: 0.9061, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.9309, scimark_benchmark: 912.5006, usercpu_time_millis: 3980, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.625, kappa: 0.5351, kb_relative_information_score: 100.407, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.7138, predictive_accuracy: 0.6775, prior_entropy: 2.2393, recall: 0.6775, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9695, scimark_benchmark: 887.6719, usercpu_time_millis: 24030, usercpu_time_millis_testing: 19760, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.6327, kappa: 0.5226, kb_relative_information_score: 447.5267, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.6278, predictive_accuracy: 0.6494, prior_entropy: 2.2393, recall: 0.6494, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.277, root_relative_squared_error: 0.8462, scimark_benchmark: 889.3151, usercpu_time_millis: 10360, usercpu_time_millis_testing: 10360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.5988, kappa: 0.4833, kb_relative_information_score: 409.461, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.6266, predictive_accuracy: 0.6138, prior_entropy: 2.2393, recall: 0.6138, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.8439, scimark_benchmark: 1384.4418, usercpu_time_millis: 9300, usercpu_time_millis_testing: 9300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 933.3136, usercpu_time_millis: 15840, usercpu_time_millis_training: 15840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 937.1527, usercpu_time_millis: 13950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 918.0213, usercpu_time_millis: 16040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 16030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 1250.8301, usercpu_time_millis: 14690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.4877, kappa: 0.4226, kb_relative_information_score: -5.7424, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.4419, predictive_accuracy: 0.5944, prior_entropy: 2.2393, recall: 0.5944, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0295, scimark_benchmark: 930.5999, usercpu_time_millis: 14180, usercpu_time_millis_training: 14180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9461, kappa: 0.9292, kb_relative_information_score: 845.7113, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9455, predictive_accuracy: 0.9471, prior_entropy: 2.2393, recall: 0.9471, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3585, scimark_benchmark: 918.6005, usercpu_time_millis: 218110, usercpu_time_millis_training: 218110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9365, kappa: 0.9172, kb_relative_information_score: 811.2302, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.938, predictive_accuracy: 0.9385, prior_entropy: 2.2393, recall: 0.9385, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3609, scimark_benchmark: 889.3151, usercpu_time_millis: 166830, usercpu_time_millis_training: 166830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9925, kappa: 0.9914, kb_relative_information_score: 907.5094, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9914, predictive_accuracy: 0.9935, prior_entropy: 2.2393, recall: 0.9935, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.1224, scimark_benchmark: 942.6843, usercpu_time_millis: 1220290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1220280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9563, kappa: 0.9435, kb_relative_information_score: 795.4942, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9564, predictive_accuracy: 0.9579, prior_entropy: 2.2393, recall: 0.9579, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3344, scimark_benchmark: 932.0242, usercpu_time_millis: 126890, usercpu_time_millis_testing: 3330, usercpu_time_millis_training: 123560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9957, kappa: 0.9957, kb_relative_information_score: 912.1555, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9946, predictive_accuracy: 0.9968, prior_entropy: 2.2393, recall: 0.9968, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0966, scimark_benchmark: 918.6005, usercpu_time_millis: 2472950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2472940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.209, kb_relative_information_score: 0.3856, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.1442, predictive_accuracy: 0.3797, prior_entropy: 2.2393, recall: 0.3797, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.3273, root_relative_squared_error: 1, scimark_benchmark: 1331.6907, usercpu_time_millis: 29130, usercpu_time_millis_training: 29130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7978, kappa: 0.713, kb_relative_information_score: 276.0926, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8241, predictive_accuracy: 0.7832, prior_entropy: 2.2393, recall: 0.7832, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.8847, scimark_benchmark: 1386.5717, usercpu_time_millis: 13460, usercpu_time_millis_testing: 7050, usercpu_time_millis_training: 6410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.822, kappa: 0.746, kb_relative_information_score: 691.2231, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8618, predictive_accuracy: 0.8047, prior_entropy: 2.2393, recall: 0.8047, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7206, scimark_benchmark: 918.6005, usercpu_time_millis: 27350, usercpu_time_millis_testing: 23050, usercpu_time_millis_training: 4300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9421, kappa: 0.9244, kb_relative_information_score: 812.911, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9432, predictive_accuracy: 0.9439, prior_entropy: 2.2393, recall: 0.9439, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.348, scimark_benchmark: 1329.0249, usercpu_time_millis: 541010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 540990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.963, kappa: 0.9522, kb_relative_information_score: 797.7262, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9628, predictive_accuracy: 0.9644, prior_entropy: 2.2393, recall: 0.9644, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3214, scimark_benchmark: 899.5042, usercpu_time_millis: 236100, usercpu_time_millis_testing: 6740, usercpu_time_millis_training: 229360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9443, kappa: 0.9273, kb_relative_information_score: 813.4198, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9453, predictive_accuracy: 0.9461, prior_entropy: 2.2393, recall: 0.9461, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3444, scimark_benchmark: 1332.2926, usercpu_time_millis: 1279620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1279580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9676, kappa: 0.958, kb_relative_information_score: 876.7226, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9673, predictive_accuracy: 0.9687, prior_entropy: 2.2393, recall: 0.9687, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2401, scimark_benchmark: 1333.1945, usercpu_time_millis: 331150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 331140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9434, kappa: 0.9261, kb_relative_information_score: 826.1199, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9431, predictive_accuracy: 0.945, prior_entropy: 2.2393, recall: 0.945, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.3289, scimark_benchmark: 1331.6907, usercpu_time_millis: 186540, usercpu_time_millis_training: 186540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9282, kappa: 0.9059, kb_relative_information_score: 820.4528, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9303, predictive_accuracy: 0.9299, prior_entropy: 2.2393, recall: 0.9299, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4292, scimark_benchmark: 1331.482, usercpu_time_millis: 40360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9455, kappa: 0.9288, kb_relative_information_score: 812.0885, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.946, predictive_accuracy: 0.9471, prior_entropy: 2.2393, recall: 0.9471, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3461, scimark_benchmark: 1323.976, usercpu_time_millis: 2601450, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2601370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7693, kappa: 0.6942, kb_relative_information_score: 637.1796, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.7702, predictive_accuracy: 0.7702, prior_entropy: 2.2393, recall: 0.7702, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7829, scimark_benchmark: 1333.1945, usercpu_time_millis: 2730, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9444, kappa: 0.9266, kb_relative_information_score: 844.3644, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9441, predictive_accuracy: 0.945, prior_entropy: 2.2393, recall: 0.945, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3692, scimark_benchmark: 1319.59, usercpu_time_millis: 150630, usercpu_time_millis_training: 150630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9539, kappa: 0.9394, kb_relative_information_score: 861.1419, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9538, predictive_accuracy: 0.9547, prior_entropy: 2.2393, recall: 0.9547, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3476, scimark_benchmark: 1340.1351, usercpu_time_millis: 45560, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 44760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.6392, kappa: 0.5236, kb_relative_information_score: 482.2124, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.6585, predictive_accuracy: 0.6408, prior_entropy: 2.2393, recall: 0.6408, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.319, root_relative_squared_error: 0.9748, scimark_benchmark: 1419.2433, usercpu_time_millis: 4740, usercpu_time_millis_testing: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8026, kappa: 0.7142, kb_relative_information_score: 664.2715, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8523, predictive_accuracy: 0.7789, prior_entropy: 2.2393, recall: 0.7789, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.7675, scimark_benchmark: 1339.944, usercpu_time_millis: 41150, usercpu_time_millis_testing: 31140, usercpu_time_millis_training: 10010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9472, kappa: 0.9307, kb_relative_information_score: 851.3424, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9464, predictive_accuracy: 0.9482, prior_entropy: 2.2393, recall: 0.9482, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3625, scimark_benchmark: 1334.8495, usercpu_time_millis: 22660, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 21990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9238, kappa: 0.8992, kb_relative_information_score: 826.3516, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.9235, predictive_accuracy: 0.9245, prior_entropy: 2.2393, recall: 0.9245, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9248, kappa: 0.9025, kb_relative_information_score: 706.6864, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.926, predictive_accuracy: 0.9277, prior_entropy: 2.2393, recall: 0.9277, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8939, kappa: 0.859, kb_relative_information_score: 745.0785, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2145, number_of_instances: 927, precision: 0.8987, predictive_accuracy: 0.8943, prior_entropy: 2.2393, recall: 0.8943, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.3273, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4373,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs