Task
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 3921 Supervised Classification jEdit_4.0_4.2 551 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

551 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, build_cpu_time: 0.08, build_memory: 58975284.3796, f_measure: 0.7444, kappa: 0.4896, kb_relative_information_score: 134.393, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7462, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9535, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.2362, build_memory: 35285256.3796, f_measure: 0.7518, kappa: 0.504, kb_relative_information_score: 138.2297, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.753, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9586, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.2209, build_memory: 65705404.7591, f_measure: 0.7518, kappa: 0.504, kb_relative_information_score: 138.2297, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.753, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9586, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, build_cpu_time: 0.2984, build_memory: 99091680.3504, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 141.046, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9544, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, build_cpu_time: 0.6618, build_memory: 776725765.3431, f_measure: 0.7627, kappa: 0.526, kb_relative_information_score: 142.3569, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7643, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9559, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, build_cpu_time: 0.6302, build_memory: 1066686557.8394, f_measure: 0.7627, kappa: 0.526, kb_relative_information_score: 142.3569, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7643, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9559, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 1.5182, build_memory: 132449545.3723, f_measure: 0.7589, kappa: 0.5189, kb_relative_information_score: 140.3298, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7616, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9756, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, build_cpu_time: 26.7749, build_memory: 49766379.3285, f_measure: 0.7664, kappa: 0.5332, kb_relative_information_score: 112.9856, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7676, predictive_accuracy: 0.7664, prior_entropy: 0.9997, recall: 0.7664, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8305, scimark_benchmark: 926.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, build_cpu_time: 12.667, build_memory: 1357403686.1898, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 112.6689, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, build_cpu_time: 5.9092, build_memory: 2171343670.1898, f_measure: 0.7336, kappa: 0.4675, kb_relative_information_score: 112.1127, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7345, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8414, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, build_cpu_time: 4.6316, build_memory: 442187373.0511, f_measure: 0.7333, kappa: 0.468, kb_relative_information_score: 109.3167, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7362, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8584, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 1.6396, build_memory: 210783556.292, f_measure: 0.7475, kappa: 0.4975, kb_relative_information_score: 111.977, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7527, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8697, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, build_cpu_time: 0.0013, build_memory: 108629283.1533, f_measure: 0.7014, kappa: 0.4122, kb_relative_information_score: 75.4654, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7237, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8876, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, build_cpu_time: 0.0024, build_memory: 965818165.2263, f_measure: 0.7007, kappa: 0.412, kb_relative_information_score: 71.609, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7256, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8883, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, build_cpu_time: 0.2989, build_memory: 1971764825.5183, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 108.0176, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7268, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9169, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.0062, build_memory: 52318831.1825, f_measure: 0.7041, kappa: 0.4193, kb_relative_information_score: 73.3651, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7307, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8826, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, build_cpu_time: 0.3555, build_memory: 55580602.8613, f_measure: 0.7189, kappa: 0.4374, kb_relative_information_score: 101.337, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8905, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, build_cpu_time: 0.0111, build_memory: 647884658.5401, f_measure: 0.7041, kappa: 0.4193, kb_relative_information_score: 73.3902, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7307, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8794, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, build_cpu_time: 0.0187, build_memory: 1218162286.6861, f_measure: 0.7081, kappa: 0.4267, kb_relative_information_score: 73.0249, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7337, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8798, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, build_cpu_time: 46.7138, build_memory: 262187685.0219, f_measure: 0.7077, kappa: 0.4169, kb_relative_information_score: 94.3888, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7102, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8583, scimark_benchmark: 932.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, build_cpu_time: 22.6072, build_memory: 91688218.8029, f_measure: 0.7153, kappa: 0.4311, kb_relative_information_score: 94.8443, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7164, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8581, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, build_cpu_time: 0.082, build_memory: 553075097.3139, f_measure: 0.6791, kappa: 0.3746, kb_relative_information_score: 88.0472, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7129, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9721, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, build_cpu_time: 0.0802, build_memory: 1386176658.1606, f_measure: 0.6791, kappa: 0.3746, kb_relative_information_score: 88.0472, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7129, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9721, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 0.0891, build_memory: 533165367.2993, f_measure: 0.7477, kappa: 0.4973, kb_relative_information_score: 94.427, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7518, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8237, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 0.0961, build_memory: 316194875.2409, f_measure: 0.7477, kappa: 0.4973, kb_relative_information_score: 94.427, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7518, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8237, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, build_cpu_time: 0.2185, build_memory: 159515193.0803, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 89.952, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8301, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, build_cpu_time: 0.0128, build_memory: 406514477.8102, f_measure: 0.6961, kappa: 0.3926, kb_relative_information_score: 103.149, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6982, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9113, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, build_cpu_time: 0.0132, build_memory: 964998949.6934, f_measure: 0.6961, kappa: 0.3926, kb_relative_information_score: 103.149, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6982, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9113, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, build_cpu_time: 0.0199, build_memory: 99265910.365, f_measure: 0.6961, kappa: 0.3926, kb_relative_information_score: 103.149, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6982, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9113, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, build_cpu_time: 0.0137, build_memory: 504764227.562, f_measure: 0.6961, kappa: 0.3926, kb_relative_information_score: 103.149, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6982, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9113, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, build_cpu_time: 0.0118, build_memory: 211206220.4964, f_measure: 0.7145, kappa: 0.4293, kb_relative_information_score: 102.0312, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7164, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9149, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, build_cpu_time: 0.006, build_memory: 1084386164.6131, f_measure: 0.7151, kappa: 0.4298, kb_relative_information_score: 100.3493, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7155, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9322, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 0.5862, build_memory: 1580566795.1241, f_measure: 0.7628, kappa: 0.5259, kb_relative_information_score: 107.01, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7637, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.828, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 1.0392, build_memory: 614060886.3942, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 105.4916, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8277, scimark_benchmark: 923.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, build_cpu_time: 2.0892, build_memory: 1071711706.6861, f_measure: 0.7592, kappa: 0.5183, kb_relative_information_score: 106.5911, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7595, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8247, scimark_benchmark: 934.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, build_cpu_time: 2.2286, build_memory: 1107869977.3431, f_measure: 0.7592, kappa: 0.5183, kb_relative_information_score: 106.5911, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7595, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8247, scimark_benchmark: 914.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, build_cpu_time: 5.187, build_memory: 1154978755.5329, f_measure: 0.7628, kappa: 0.5259, kb_relative_information_score: 107.3254, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7637, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8221, scimark_benchmark: 943.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 9.1808, build_memory: 3347336688.292, f_measure: 0.7701, kappa: 0.5404, kb_relative_information_score: 107.0001, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.771, predictive_accuracy: 0.7701, prior_entropy: 0.9997, recall: 0.7701, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8215, scimark_benchmark: 932.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0913, build_memory: 2303570862.1314, f_measure: 0.7663, kappa: 0.5334, kb_relative_information_score: 110.012, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 0.9997, recall: 0.7664, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8375, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0882, build_memory: 311409089.2555, f_measure: 0.7663, kappa: 0.5334, kb_relative_information_score: 110.012, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 0.9997, recall: 0.7664, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8375, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, build_cpu_time: 0.0526, build_memory: 245497995.9416, f_measure: 0.7482, kappa: 0.4967, kb_relative_information_score: 109.9287, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7491, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8434, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, build_cpu_time: 0.0124, build_memory: 288060800.8467, f_measure: 0.7438, kappa: 0.4903, kb_relative_information_score: 102.346, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7495, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8835, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, build_cpu_time: 0.0291, build_memory: 868060339.3285, f_measure: 0.7408, kappa: 0.4813, kb_relative_information_score: 98.4979, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7409, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8356, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, build_cpu_time: 0.0314, build_memory: 900640887.3577, f_measure: 0.7408, kappa: 0.4813, kb_relative_information_score: 98.4979, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7409, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8356, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, build_cpu_time: 0.0601, build_memory: 770123400.8175, f_measure: 0.7445, kappa: 0.4888, kb_relative_information_score: 102.4209, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7445, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.822, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, build_cpu_time: 0.1166, build_memory: 1129685990.0438, f_measure: 0.7555, kappa: 0.5109, kb_relative_information_score: 102.0683, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7557, predictive_accuracy: 0.7555, prior_entropy: 0.9997, recall: 0.7555, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8205, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, build_cpu_time: 0.1763, build_memory: 2825597045.781, f_measure: 0.7482, kappa: 0.4962, kb_relative_information_score: 100.2263, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7482, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8232, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, build_cpu_time: 0.9534, build_memory: 1179135977.8686, f_measure: 0.6857, kappa: 0.3826, kb_relative_information_score: 97.8207, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7095, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0316, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, build_cpu_time: 0.2733, build_memory: 883707340.292, f_measure: 0.6808, kappa: 0.375, kb_relative_information_score: 99.0637, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7085, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0519, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, build_cpu_time: 0.1194, build_memory: 420295953.635, f_measure: 0.6808, kappa: 0.375, kb_relative_information_score: 96.066, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7085, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.0619, scimark_benchmark: 934.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, build_cpu_time: 0.0561, build_memory: 784784406.5693, f_measure: 0.6849, kappa: 0.3824, kb_relative_information_score: 96.7268, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7115, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.0753, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, build_cpu_time: 0.0575, build_memory: 430424315.3577, f_measure: 0.6849, kappa: 0.3824, kb_relative_information_score: 96.7268, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7115, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.0753, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, build_cpu_time: 0.1443, build_memory: 78056480.6715, f_measure: 0.7145, kappa: 0.4293, kb_relative_information_score: 112.2897, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7164, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.937, scimark_benchmark: 926.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, build_cpu_time: 0.1505, build_memory: 1598638154.5693, f_measure: 0.7145, kappa: 0.4293, kb_relative_information_score: 112.2897, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7164, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.937, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, build_cpu_time: 0.0103, build_memory: 390257540.4964, f_measure: 0.3141, kappa: -0.1035, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3019, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, build_cpu_time: 0.0103, build_memory: 148664703.0949, f_measure: 0.3141, kappa: -0.1035, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3019, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, build_cpu_time: 0.0165, build_memory: 1142357092.2628, f_measure: 0.3141, kappa: -0.1035, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3019, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, build_cpu_time: 0.0173, build_memory: 867091856, f_measure: 0.3141, kappa: -0.1035, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3019, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, build_cpu_time: 0.0165, build_memory: 317613052.146, f_measure: 0.3141, kappa: -0.1035, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3019, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 932.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, build_cpu_time: 0.0003, build_memory: 230530463.0657, f_measure: 0.5164, kappa: 0.0339, kb_relative_information_score: 9.8186, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.5173, predictive_accuracy: 0.5182, prior_entropy: 0.9997, recall: 0.5182, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6941, root_relative_squared_error: 1.3885, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0006, build_memory: 21790086.1606, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, build_cpu_time: 0.0032, build_memory: 662363944, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, build_cpu_time: 0.0036, build_memory: 205907952, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0084, build_memory: 152272146.1898, f_measure: 0.7259, kappa: 0.4517, kb_relative_information_score: 91.7863, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7266, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8607, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0088, build_memory: 118316017.0511, f_measure: 0.7259, kappa: 0.4517, kb_relative_information_score: 91.7863, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7266, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8607, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0105, build_memory: 35636258.219, f_measure: 0.7259, kappa: 0.4517, kb_relative_information_score: 91.7863, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7266, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8607, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, build_cpu_time: 0.013, build_memory: 1470528894.3942, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, build_cpu_time: 0.0145, build_memory: 1100508005.1971, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0007, build_memory: 615219820.2044, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0006, build_memory: 112406922.1898, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0103, build_memory: 40986519.1241, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 946.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, build_cpu_time: 0.004, build_memory: 140890773.0511, f_measure: 0.7147, kappa: 0.4295, kb_relative_information_score: 90.2744, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.716, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8499, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, build_cpu_time: 0.0132, build_memory: 810765784, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 125.8977, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7332, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0396, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, build_cpu_time: 0.0049, build_memory: 237366939.854, f_measure: 0.6597, kappa: 0.3377, kb_relative_information_score: 93.8759, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6931, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.1465, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, build_cpu_time: 0.0298, build_memory: 144612925.6642, f_measure: 0.3599, kappa: 0.0079, kb_relative_information_score: 7.8172, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.5881, predictive_accuracy: 0.5146, prior_entropy: 0.9997, recall: 0.5146, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6967, root_relative_squared_error: 1.3937, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0002, build_memory: 579868944, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, build_cpu_time: 0.019, build_memory: 532189182.3066, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 82.8467, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 0.0632, build_memory: 362569436.6715, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.0014, build_memory: 839246325.6934, f_measure: 0.711, kappa: 0.4221, kb_relative_information_score: 100.6969, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.858, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 0.0816, build_memory: 1275919512.438, f_measure: 0.7335, kappa: 0.4666, kb_relative_information_score: 124.0784, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7336, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9223, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, build_cpu_time: 0.027, build_memory: 330401482.6861, f_measure: 0.3081, kappa: -0.0585, kb_relative_information_score: -22.2033, mean_absolute_error: 0.5401, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2317, predictive_accuracy: 0.4599, prior_entropy: 0.9997, recall: 0.4599, relative_absolute_error: 1.0808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7349, root_relative_squared_error: 1.4702, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, build_cpu_time: 0.1302, build_memory: 1356928616.2628, f_measure: 0.7227, kappa: 0.4452, kb_relative_information_score: 119.7092, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0012, scimark_benchmark: 921.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 0.3096, build_memory: 926268446.8905, f_measure: 0.7373, kappa: 0.4744, kb_relative_information_score: 131.9839, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7374, predictive_accuracy: 0.7372, prior_entropy: 0.9997, recall: 0.7372, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9895, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.6486, build_memory: 2298183094.2774, f_measure: 0.7263, kappa: 0.4524, kb_relative_information_score: 125.9097, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7263, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0267, scimark_benchmark: 925.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.0841, build_memory: 64410140.9635, f_measure: 0.7591, kappa: 0.518, kb_relative_information_score: 113.9995, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7591, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8287, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0134, build_memory: 127775501.4015, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0088, build_memory: 212596147.0949, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0144, build_memory: 371956053.0803, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0171, build_memory: 665054417.1387, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.026, build_memory: 2597232237.3139, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0254, build_memory: 1162241309.8394, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0248, build_memory: 119981813.4015, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0363, build_memory: 238292062.4234, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, build_cpu_time: 0.0237, build_memory: 176150926.5401, f_measure: 0.7189, kappa: 0.4374, kb_relative_information_score: 114.1632, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9695, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, build_cpu_time: 0.0441, build_memory: 1009076585.9854, f_measure: 0.7225, kappa: 0.4446, kb_relative_information_score: 108.498, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7226, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8929, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, build_cpu_time: 0.0489, build_memory: 613548570.3942, f_measure: 0.7261, kappa: 0.4519, kb_relative_information_score: 109.7695, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7264, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8948, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, build_cpu_time: 0.0701, build_memory: 1884140185.8978, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 110.173, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8958, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, build_cpu_time: 0.0599, build_memory: 1074345512.2044, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 110.173, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8958, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, build_cpu_time: 0.0682, build_memory: 218638801.8102, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 110.173, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8958, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, build_cpu_time: 2.8589, build_memory: 1063172861.781, f_measure: 0.7591, kappa: 0.5186, kb_relative_information_score: 141.0564, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7603, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9716, scimark_benchmark: 942.0692,

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