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Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 3592 Supervised Classification fri_c2_100_5 905 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8288, kappa: 0.6414, kb_relative_information_score: 54.0934, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8291, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7462, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7857, kappa: 0.5494, kb_relative_information_score: 46.0545, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7695, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7669, kappa: 0.5106, kb_relative_information_score: 38.9091, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7679, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7997, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7857, kappa: 0.5494, kb_relative_information_score: 39.4658, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8099, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.7449, kappa: 0.4635, kb_relative_information_score: 37.927, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7476, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9379, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8384, kappa: 0.661, kb_relative_information_score: 62.8193, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7949, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8192, kappa: 0.6218, kb_relative_information_score: 59.7329, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.819, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7802, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8182, kappa: 0.6186, kb_relative_information_score: 56.4753, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8191, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7905, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8075, kappa: 0.5957, kb_relative_information_score: 51.1729, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.774, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.76, kappa: 0.5, kb_relative_information_score: 42.7601, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8043, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 40.7373, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7895, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7264, kappa: 0.4255, kb_relative_information_score: 38.9172, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7266, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8622, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6092, kappa: 0.2529, kb_relative_information_score: 17.3753, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6648, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2747, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.696, kappa: 0.3612, kb_relative_information_score: 38.5315, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0992, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.708, kappa: 0.386, kb_relative_information_score: 12.8048, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.719, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9526, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6695, kappa: 0.3043, kb_relative_information_score: 32.1847, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6733, predictive_accuracy: 0.68, prior_entropy: 0.9721, recall: 0.68, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1547, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 37.6425, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8831, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.78, kappa: 0.5417, kb_relative_information_score: 53.3408, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9574, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7171, kappa: 0.4068, kb_relative_information_score: 30.2617, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7167, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9521, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6767, kappa: 0.322, kb_relative_information_score: 23.4885, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6757, predictive_accuracy: 0.68, prior_entropy: 0.9721, recall: 0.68, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0208, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.84, kappa: 0.6667, kb_relative_information_score: 66.0345, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8165, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.4261, kappa: -0.0837, kb_relative_information_score: -20.7058, mean_absolute_error: 0.57, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.4704, predictive_accuracy: 0.43, prior_entropy: 0.9721, recall: 0.43, relative_absolute_error: 1.1865, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.755, root_relative_squared_error: 1.5411, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.899, kappa: 0.7881, kb_relative_information_score: 79.5071, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.901, predictive_accuracy: 0.9, prior_entropy: 0.9721, recall: 0.9, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6221, scimark_benchmark: 922.9039, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7576, kappa: 0.4915, kb_relative_information_score: 39.8626, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7576, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9487, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7153, kappa: 0.4017, kb_relative_information_score: 40.6471, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.716, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0801, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 42.7627, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0607, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 39.5617, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9687, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7727, kappa: 0.5217, kb_relative_information_score: 50.4597, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7829, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9283, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7747, kappa: 0.5259, kb_relative_information_score: 46.4203, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8495, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8393, kappa: 0.6639, kb_relative_information_score: 63.165, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8392, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8112, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, build_cpu_time: 0.0205, build_memory: 648442542.4, f_measure: 0.8075, kappa: 0.5957, kb_relative_information_score: 48.4144, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7353, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, build_cpu_time: 0.0531, build_memory: 493521916, f_measure: 0.76, kappa: 0.5, kb_relative_information_score: 48.1902, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9959, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, build_cpu_time: 0.0235, build_memory: 315656185.6, f_measure: 0.7616, kappa: 0.5082, kb_relative_information_score: 50.8577, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7656, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9543, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, build_cpu_time: 0.0065, build_memory: 1811780072, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 50.9443, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9117, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, build_cpu_time: 0.0024, build_memory: 538325252.8, f_measure: 0.74, kappa: 0.4583, kb_relative_information_score: 42.7734, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9192, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0037, build_memory: 856502220, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0038, build_memory: 1763791893.6, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0058, build_memory: 456898847.2, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.005, build_memory: 545312314.4, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0064, build_memory: 3416914465.6, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.3646, build_memory: 331689608, f_measure: 0.8, kappa: 0.5833, kb_relative_information_score: 57.2885, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8214, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.6907, build_memory: 642828757.6, f_measure: 0.7904, kappa: 0.5643, kb_relative_information_score: 54.242, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.791, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9048, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 1.304, build_memory: 577992324, f_measure: 0.82, kappa: 0.625, kb_relative_information_score: 60.2898, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8597, scimark_benchmark: 943.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, build_cpu_time: 5.7456, build_memory: 18946856.8, f_measure: 0.82, kappa: 0.625, kb_relative_information_score: 61.8413, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.864, scimark_benchmark: 919.0358,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs