Task
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
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  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 2.0264, build_memory: 544763564.6792, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, build_cpu_time: 0.2741, build_memory: 912542599.3423, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.5751, build_memory: 701120068.5391, f_measure: 0.5759, kappa: 0.4589, kb_relative_information_score: 660.5828, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5841, predictive_accuracy: 0.5856, prior_entropy: 2.5035, recall: 0.5856, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.841, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, build_cpu_time: 0.0083, build_memory: 28505980.3935, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 673.9349, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.8642, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, build_cpu_time: 0.1342, build_memory: 571680129.0297, f_measure: 0.5963, kappa: 0.4884, kb_relative_information_score: 691.4916, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5985, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8324, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, build_cpu_time: 0.0051, build_memory: 88140624.7601, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, build_cpu_time: 0.0025, build_memory: 731480565.3962, f_measure: 0.3197, kappa: 0.1837, kb_relative_information_score: 375.0413, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2763, predictive_accuracy: 0.4003, prior_entropy: 2.5035, recall: 0.4003, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.2426, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, build_cpu_time: 0.0028, build_memory: 425922183.4879, f_measure: 0.3197, kappa: 0.1837, kb_relative_information_score: 375.0413, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2763, predictive_accuracy: 0.4003, prior_entropy: 2.5035, recall: 0.4003, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.2426, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, build_cpu_time: 0.0617, build_memory: 447778985.407, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, build_cpu_time: 0.0598, build_memory: 468370326.3396, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0029, build_memory: 31449222.9434, f_measure: 0.4801, kappa: 0.3496, kb_relative_information_score: 563.7487, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4873, predictive_accuracy: 0.5034, prior_entropy: 2.5035, recall: 0.5034, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.1308, scimark_benchmark: 938.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0012, build_memory: 40016066.1779, f_measure: 0.4801, kappa: 0.3496, kb_relative_information_score: 563.7487, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4873, predictive_accuracy: 0.5034, prior_entropy: 2.5035, recall: 0.5034, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.1308, scimark_benchmark: 946.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0005, build_memory: 86529523.6226, f_measure: 0.4801, kappa: 0.3496, kb_relative_information_score: 563.7487, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4873, predictive_accuracy: 0.5034, prior_entropy: 2.5035, recall: 0.5034, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.1308, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0004, build_memory: 108027393.2884, f_measure: 0.4801, kappa: 0.3496, kb_relative_information_score: 563.7487, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4873, predictive_accuracy: 0.5034, prior_entropy: 2.5035, recall: 0.5034, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.1308, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 1.8474, build_memory: 1008216776.4906, f_measure: 0.5429, kappa: 0.4263, kb_relative_information_score: 169.9974, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5896, predictive_accuracy: 0.566, prior_entropy: 2.5035, recall: 0.566, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 1.8258, build_memory: 753333677.3154, f_measure: 0.5429, kappa: 0.4263, kb_relative_information_score: 169.9974, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5896, predictive_accuracy: 0.566, prior_entropy: 2.5035, recall: 0.566, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 3.7613, build_memory: 2547638642.9164, f_measure: 0.5526, kappa: 0.4381, kb_relative_information_score: 170.5872, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5975, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 3.3525, build_memory: 798470479.5957, f_measure: 0.5526, kappa: 0.4381, kb_relative_information_score: 170.5872, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5975, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 929.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 3.3854, build_memory: 968027086.0216, f_measure: 0.5526, kappa: 0.4381, kb_relative_information_score: 170.5872, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5975, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 8.2016, build_memory: 963337713.6226, f_measure: 0.5513, kappa: 0.4353, kb_relative_information_score: 170.8185, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5945, predictive_accuracy: 0.5728, prior_entropy: 2.5035, recall: 0.5728, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9984, scimark_benchmark: 942.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, build_cpu_time: 28.5558, build_memory: 820434489.6604, f_measure: 0.5488, kappa: 0.4329, kb_relative_information_score: 170.8629, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5915, predictive_accuracy: 0.5708, prior_entropy: 2.5035, recall: 0.5708, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, build_cpu_time: 1.5393, build_memory: 291795264.1186, f_measure: 0.6057, kappa: 0.5003, kb_relative_information_score: 692.7579, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6093, predictive_accuracy: 0.6166, prior_entropy: 2.5035, recall: 0.6166, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8188, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 0.724, build_memory: 868465252.7655, f_measure: 0.606, kappa: 0.5014, kb_relative_information_score: 691.0288, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.608, predictive_accuracy: 0.6173, prior_entropy: 2.5035, recall: 0.6173, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8208, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 0.8076, build_memory: 1048165945.434, f_measure: 0.606, kappa: 0.5014, kb_relative_information_score: 691.0288, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.608, predictive_accuracy: 0.6173, prior_entropy: 2.5035, recall: 0.6173, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8208, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 0.7962, build_memory: 2849139291.4501, f_measure: 0.606, kappa: 0.5014, kb_relative_information_score: 691.0288, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.608, predictive_accuracy: 0.6173, prior_entropy: 2.5035, recall: 0.6173, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8208, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 0.7807, build_memory: 1931752327.1267, f_measure: 0.606, kappa: 0.5014, kb_relative_information_score: 691.0288, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.608, predictive_accuracy: 0.6173, prior_entropy: 2.5035, recall: 0.6173, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8208, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, build_cpu_time: 0.4182, build_memory: 2347395297.5741, f_measure: 0.5972, kappa: 0.4905, kb_relative_information_score: 692.5753, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.598, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.229, root_relative_squared_error: 0.8216, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, build_cpu_time: 0.4357, build_memory: 1020068520.7278, f_measure: 0.5972, kappa: 0.4905, kb_relative_information_score: 692.5753, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.598, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.229, root_relative_squared_error: 0.8216, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, build_cpu_time: 0.7202, build_memory: 2610308304.3989, f_measure: 0.6018, kappa: 0.4923, kb_relative_information_score: 717.6929, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6037, predictive_accuracy: 0.6105, prior_entropy: 2.5035, recall: 0.6105, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8229, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 1.6114, build_memory: 284898517.7844, f_measure: 0.6032, kappa: 0.4941, kb_relative_information_score: 719.2843, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6059, predictive_accuracy: 0.6119, prior_entropy: 2.5035, recall: 0.6119, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8197, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 1.2427, build_memory: 1137730009.655, f_measure: 0.6032, kappa: 0.4941, kb_relative_information_score: 719.2843, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6059, predictive_accuracy: 0.6119, prior_entropy: 2.5035, recall: 0.6119, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8197, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, build_cpu_time: 49.275, build_memory: 2309537457.6496, f_measure: 0.6175, kappa: 0.5154, kb_relative_information_score: 712.1745, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6173, predictive_accuracy: 0.628, prior_entropy: 2.5035, recall: 0.628, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8135, scimark_benchmark: 912.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 23.894, build_memory: 1341067566.3612, f_measure: 0.6184, kappa: 0.5153, kb_relative_information_score: 713.1553, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6202, predictive_accuracy: 0.628, prior_entropy: 2.5035, recall: 0.628, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8134, scimark_benchmark: 935.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 11.6983, build_memory: 1204872113.8059, f_measure: 0.6181, kappa: 0.5153, kb_relative_information_score: 712.8307, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6199, predictive_accuracy: 0.628, prior_entropy: 2.5035, recall: 0.628, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.8139, scimark_benchmark: 911.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, build_cpu_time: 6.675, build_memory: 1265360294.372, f_measure: 0.607, kappa: 0.5014, kb_relative_information_score: 711.54, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6099, predictive_accuracy: 0.6173, prior_entropy: 2.5035, recall: 0.6173, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.8155, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, build_cpu_time: 0.017, build_memory: 1437351062.5607, f_measure: 0.3216, kappa: 0.1683, kb_relative_information_score: 403.8575, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.337, predictive_accuracy: 0.3922, prior_entropy: 2.5035, recall: 0.3922, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.0267, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, build_cpu_time: 0.0507, build_memory: 250726056.1725, f_measure: 0.3223, kappa: 0.1747, kb_relative_information_score: 393.2204, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3341, predictive_accuracy: 0.3949, prior_entropy: 2.5035, recall: 0.3949, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2835, root_relative_squared_error: 1.0171, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, build_cpu_time: 0.0612, build_memory: 520832539.7251, f_measure: 0.3157, kappa: 0.1729, kb_relative_information_score: 392.1343, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2788, predictive_accuracy: 0.3935, prior_entropy: 2.5035, recall: 0.3935, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2863, root_relative_squared_error: 1.0271, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, build_cpu_time: 0.0605, build_memory: 860324279.6119, f_measure: 0.3157, kappa: 0.1729, kb_relative_information_score: 392.1343, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2788, predictive_accuracy: 0.3935, prior_entropy: 2.5035, recall: 0.3935, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2863, root_relative_squared_error: 1.0271, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.136, build_memory: 257399062.2749, f_measure: 0.3139, kappa: 0.1765, kb_relative_information_score: 388.7935, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2756, predictive_accuracy: 0.3956, prior_entropy: 2.5035, recall: 0.3956, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0315, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.1807, build_memory: 1056929861.1483, f_measure: 0.3139, kappa: 0.1765, kb_relative_information_score: 388.7935, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2756, predictive_accuracy: 0.3956, prior_entropy: 2.5035, recall: 0.3956, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0315, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, build_cpu_time: 0.561, build_memory: 310434670.5876, f_measure: 0.6062, kappa: 0.4966, kb_relative_information_score: 715.998, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6221, predictive_accuracy: 0.6132, prior_entropy: 2.5035, recall: 0.6132, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.8235, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, build_cpu_time: 0.3148, build_memory: 776533664.3396, f_measure: 0.5676, kappa: 0.4531, kb_relative_information_score: 677.1466, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5859, predictive_accuracy: 0.5775, prior_entropy: 2.5035, recall: 0.5775, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.239, root_relative_squared_error: 0.8575, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, build_cpu_time: 353.0313, build_memory: 3512352504.7817, f_measure: 0.5943, kappa: 0.485, kb_relative_information_score: 720.1697, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5934, predictive_accuracy: 0.6044, prior_entropy: 2.5035, recall: 0.6044, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.823, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, build_cpu_time: 880.658, build_memory: 839350179.6712, f_measure: 0.5988, kappa: 0.4913, kb_relative_information_score: 718.6623, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5966, predictive_accuracy: 0.6092, prior_entropy: 2.5035, recall: 0.6092, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.8226, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 0.0535, build_memory: 800571390.0863, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 353.9643, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9325, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, build_cpu_time: 0.039, build_memory: 69695313.6065, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 354.7294, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9323, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.015, build_memory: 51238340.841, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 356.5746, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9322, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, build_cpu_time: 0.0078, build_memory: 2316372390.62, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 353.713, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9327, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, build_cpu_time: 0.0044, build_memory: 1774931841.7628, f_measure: 0.2492, kappa: 0.1881, kb_relative_information_score: 354.654, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.407, predictive_accuracy: 0.409, prior_entropy: 2.5035, recall: 0.409, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9326, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, build_cpu_time: 38.288, build_memory: 2140308570.2749, f_measure: 0.5841, kappa: 0.4692, kb_relative_information_score: 726.7314, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5806, predictive_accuracy: 0.5903, prior_entropy: 2.5035, recall: 0.5903, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.236, root_relative_squared_error: 0.8469, scimark_benchmark: 902.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 90.9716, build_memory: 962965252.4798, f_measure: 0.5888, kappa: 0.4745, kb_relative_information_score: 732.6737, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5856, predictive_accuracy: 0.595, prior_entropy: 2.5035, recall: 0.595, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.8348, scimark_benchmark: 742.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 155.1697, build_memory: 271923265.2668, f_measure: 0.6025, kappa: 0.4927, kb_relative_information_score: 735.6759, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6012, predictive_accuracy: 0.6098, prior_entropy: 2.5035, recall: 0.6098, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.8255, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, build_cpu_time: 268.6988, build_memory: 1337339877.8706, f_measure: 0.6019, kappa: 0.4932, kb_relative_information_score: 734.9814, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5991, predictive_accuracy: 0.6098, prior_entropy: 2.5035, recall: 0.6098, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.8223, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 572.6863, build_memory: 1024856472.1995, f_measure: 0.6008, kappa: 0.4915, kb_relative_information_score: 734.4325, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5988, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.229, root_relative_squared_error: 0.8218, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, build_cpu_time: 26.7936, build_memory: 1547048261.8437, f_measure: 0.5895, kappa: 0.4756, kb_relative_information_score: 686.8193, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5927, predictive_accuracy: 0.5984, prior_entropy: 2.5035, recall: 0.5984, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.8225, scimark_benchmark: 930.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, build_cpu_time: 48.7566, build_memory: 307936407.752, f_measure: 0.5887, kappa: 0.4748, kb_relative_information_score: 685.1563, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.591, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8214, scimark_benchmark: 914.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 4.9702, build_memory: 689114818.2372, f_measure: 0.6131, kappa: 0.5087, kb_relative_information_score: 729.4825, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6103, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8178, scimark_benchmark: 946.1558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, build_cpu_time: 2.5784, build_memory: 701074546.6631, f_measure: 0.6132, kappa: 0.5085, kb_relative_information_score: 728.4755, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6108, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8182, scimark_benchmark: 930.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6052, kappa: 0.4973, kb_relative_information_score: 729.5581, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6017, predictive_accuracy: 0.6132, prior_entropy: 2.5035, recall: 0.6132, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, build_cpu_time: 0.6965, build_memory: 191169378.7278, f_measure: 0.606, kappa: 0.5, kb_relative_information_score: 732.3763, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6029, predictive_accuracy: 0.6152, prior_entropy: 2.5035, recall: 0.6152, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.8243, scimark_benchmark: 945.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, build_cpu_time: 0.6683, build_memory: 235977672.7925, f_measure: 0.606, kappa: 0.5, kb_relative_information_score: 732.3763, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6029, predictive_accuracy: 0.6152, prior_entropy: 2.5035, recall: 0.6152, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.8243, scimark_benchmark: 944.1984,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.5728, kappa: 0.4585, kb_relative_information_score: 176.7268, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6019, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 1.0498, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.9977, scimark_benchmark: 593.9566,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.5999, kappa: 0.4922, kb_relative_information_score: 709.2724, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.599, predictive_accuracy: 0.6105, prior_entropy: 2.5035, recall: 0.6105, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8189, scimark_benchmark: 891.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.5804, kappa: 0.4607, kb_relative_information_score: 701.7177, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5826, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.8516, scimark_benchmark: 893.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.6023, kappa: 0.4946, kb_relative_information_score: 704.5484, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6025, predictive_accuracy: 0.6125, prior_entropy: 2.5035, recall: 0.6125, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.822, scimark_benchmark: 596.8241,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.6067, kappa: 0.5023, kb_relative_information_score: 693.105, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6086, predictive_accuracy: 0.6179, prior_entropy: 2.5035, recall: 0.6179, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.8204, scimark_benchmark: 945.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1751, kappa: 0.0194, kb_relative_information_score: 47.0535, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.481, predictive_accuracy: 0.3235, prior_entropy: 2.5035, recall: 0.3235, relative_absolute_error: 1.0749, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0226, scimark_benchmark: 944.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.5899, kappa: 0.475, kb_relative_information_score: 769.1934, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5942, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.0161, scimark_benchmark: 595.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.5652, kappa: 0.4447, kb_relative_information_score: 677.9658, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5636, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.259, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.0494, kappa: 0.0006, kb_relative_information_score: 97.8043, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0798, predictive_accuracy: 0.1658, prior_entropy: 2.5035, recall: 0.1658, relative_absolute_error: 1.0657, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.5884, kappa: 0.478, kb_relative_information_score: 674.5497, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5856, predictive_accuracy: 0.5991, prior_entropy: 2.5035, recall: 0.5991, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.831, scimark_benchmark: 595.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 63.5008, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.1241, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0465, scimark_benchmark: 887.2466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.5628, kappa: 0.4425, kb_relative_information_score: 648.0084, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5638, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.8528, scimark_benchmark: 945.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 943.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.5875, kappa: 0.4777, kb_relative_information_score: 655.8757, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5927, predictive_accuracy: 0.6004, prior_entropy: 2.5035, recall: 0.6004, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.8335, scimark_benchmark: 941.1105,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.578, kappa: 0.4623, kb_relative_information_score: 656.7285, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454, scimark_benchmark: 942.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.3263, kappa: 0.1941, kb_relative_information_score: 386.3524, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2814, predictive_accuracy: 0.4084, prior_entropy: 2.5035, recall: 0.4084, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.344, root_relative_squared_error: 1.2342, scimark_benchmark: 939.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.5741, kappa: 0.4623, kb_relative_information_score: 287.3308, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5726, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9502, scimark_benchmark: 942.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 858.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.574, kappa: 0.4574, kb_relative_information_score: 135.2767, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5713, predictive_accuracy: 0.5822, prior_entropy: 2.5035, recall: 0.5822, relative_absolute_error: 1.0875, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0157, scimark_benchmark: 941.2935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.552, kappa: 0.4235, kb_relative_information_score: 717.1295, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5606, prior_entropy: 2.5035, recall: 0.5606, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8927, scimark_benchmark: 835.5877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 935.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 291.5447, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9504, scimark_benchmark: 939.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 354.7294, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9323, scimark_benchmark: 932.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.5657, kappa: 0.4425, kb_relative_information_score: 189.404, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5722, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 1.0559, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9911, scimark_benchmark: 934.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.5751, kappa: 0.458, kb_relative_information_score: 671.2115, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5781, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.236, root_relative_squared_error: 0.8469, scimark_benchmark: 945.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.3223, kappa: 0.1747, kb_relative_information_score: 393.2204, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3341, predictive_accuracy: 0.3949, prior_entropy: 2.5035, recall: 0.3949, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2835, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.578, kappa: 0.4623, kb_relative_information_score: 656.7285, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454, scimark_benchmark: 943.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.5676, kappa: 0.4531, kb_relative_information_score: 677.1466, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5859, predictive_accuracy: 0.5775, prior_entropy: 2.5035, recall: 0.5775, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.239, root_relative_squared_error: 0.8575, scimark_benchmark: 940.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.3872, kappa: 0.2903, kb_relative_information_score: 535.4368, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4779, predictive_accuracy: 0.4036, prior_entropy: 2.5035, recall: 0.4036, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2791, root_relative_squared_error: 1.0013, scimark_benchmark: 918.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.5738, kappa: 0.46, kb_relative_information_score: 676.8642, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5879, predictive_accuracy: 0.5829, prior_entropy: 2.5035, recall: 0.5829, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.858, scimark_benchmark: 938.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.5998, kappa: 0.4905, kb_relative_information_score: 734.402, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5975, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.8219, scimark_benchmark: 944.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 910.4477,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.5829, kappa: 0.4638, kb_relative_information_score: 701.0041, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5865, predictive_accuracy: 0.591, prior_entropy: 2.5035, recall: 0.591, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8484, scimark_benchmark: 933.3352,

Metric:

Timeline

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Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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