Task
Supervised Classification on fl2000

Supervised Classification on fl2000

Task 3851 Supervised Classification fl2000 505 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.018, build_memory: 450753259.2239, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 27.6165, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8114, scimark_benchmark: 935.2283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0195, build_memory: 186265317.7313, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 27.6165, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8114, scimark_benchmark: 936.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 27.6165, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, build_cpu_time: 0.033, build_memory: 663142036.6567, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 29.0881, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7863, scimark_benchmark: 936.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 0.072, build_memory: 115446475.1045, f_measure: 0.7732, kappa: 0.5184, kb_relative_information_score: 28.7693, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7736, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7821, scimark_benchmark: 946.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 0.0667, build_memory: 391006833.4328, f_measure: 0.7732, kappa: 0.5184, kb_relative_information_score: 28.7693, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7736, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7821, scimark_benchmark: 906.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, build_cpu_time: 0.0776, build_memory: 171428168.3582, f_measure: 0.8012, kappa: 0.5766, kb_relative_information_score: 29.3208, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7753, scimark_benchmark: 934.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 0.258, build_memory: 294402270.209, f_measure: 0.7845, kappa: 0.5406, kb_relative_information_score: 28.7753, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7922, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7818, scimark_benchmark: 943.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, build_cpu_time: 0.1576, build_memory: 2494743760.4776, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 28.6148, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7861, scimark_benchmark: 937.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.026, build_memory: 547458047.6418, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6237, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8624, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.0343, build_memory: 52116984.9552, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6237, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8624, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.0576, build_memory: 191339942.806, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6943, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8592, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.0864, build_memory: 980008548.1791, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6943, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8592, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.1103, build_memory: 2194687725.0149, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6943, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8592, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, build_cpu_time: 6.1309, build_memory: 721765937.0746, f_measure: 0.8769, kappa: 0.7375, kb_relative_information_score: 36.0169, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8895, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6737, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 3.2403, build_memory: 186529157.8507, f_measure: 0.893, kappa: 0.772, kb_relative_information_score: 35.9421, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9017, predictive_accuracy: 0.8955, prior_entropy: 0.9656, recall: 0.8955, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6766, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, build_cpu_time: 1.6124, build_memory: 77009935.1642, f_measure: 0.9088, kappa: 0.806, kb_relative_information_score: 35.2179, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9144, predictive_accuracy: 0.9104, prior_entropy: 0.9656, recall: 0.9104, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6833, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, build_cpu_time: 0.9521, build_memory: 793845172.4179, f_measure: 0.9088, kappa: 0.806, kb_relative_information_score: 34.2527, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9144, predictive_accuracy: 0.9104, prior_entropy: 0.9656, recall: 0.9104, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6953, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 0.462, build_memory: 111638608.7164, f_measure: 0.9088, kappa: 0.806, kb_relative_information_score: 36.4264, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9144, predictive_accuracy: 0.9104, prior_entropy: 0.9656, recall: 0.9104, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6806, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.0021, build_memory: 1061358778.2687, f_measure: 0.8012, kappa: 0.5766, kb_relative_information_score: 21.7333, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8211, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, build_cpu_time: 0.0037, build_memory: 1122851022.209, f_measure: 0.7593, kappa: 0.4891, kb_relative_information_score: 22.075, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7953, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8153, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, build_cpu_time: 0.1723, build_memory: 1464184644.6567, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 43.4202, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.8025, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, build_cpu_time: 0.1537, build_memory: 79301408.9552, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 43.4202, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.8025, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, build_cpu_time: 0.0066, build_memory: 85540886.3284, f_measure: 0.7593, kappa: 0.4891, kb_relative_information_score: 22.3302, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7953, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8115, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.0154, build_memory: 131868111.1642, f_measure: 0.773, kappa: 0.5195, kb_relative_information_score: 22.7437, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8222, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8105, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, build_cpu_time: 0.0195, build_memory: 1319670505.0746, f_measure: 0.7914, kappa: 0.5572, kb_relative_information_score: 22.9655, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8329, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8065, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 30.5474, build_memory: 1303938548.7761, f_measure: 0.8624, kappa: 0.7069, kb_relative_information_score: 33.9501, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8699, predictive_accuracy: 0.8657, prior_entropy: 0.9656, recall: 0.8657, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7064, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, build_cpu_time: 15.2549, build_memory: 415738661.0149, f_measure: 0.848, kappa: 0.6766, kb_relative_information_score: 33.6759, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8519, predictive_accuracy: 0.8507, prior_entropy: 0.9656, recall: 0.8507, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7113, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, build_cpu_time: 0.0031, build_memory: 459270547.4627, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.0763, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0803, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, build_cpu_time: 0.0036, build_memory: 94719561.4328, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.0763, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0803, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.0383, build_memory: 169560469.1343, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 44.6839, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7604, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.038, build_memory: 155697883.1045, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 44.6839, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7604, scimark_benchmark: 936.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.0371, build_memory: 94457601.5522, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 44.6839, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7604, scimark_benchmark: 926.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.0389, build_memory: 237745176.3582, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 44.6839, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7604, scimark_benchmark: 944.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, build_cpu_time: 0.006, build_memory: 445911113.6716, f_measure: 0.8153, kappa: 0.6063, kb_relative_information_score: 41.865, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8246, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8277, scimark_benchmark: 945.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, build_cpu_time: 0.0308, build_memory: 1243071370.7463, f_measure: 0.6822, kappa: 0.3239, kb_relative_information_score: 24.878, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6987, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0777, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, build_cpu_time: 0.0379, build_memory: 758281826.1493, f_measure: 0.6822, kappa: 0.3239, kb_relative_information_score: 24.878, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6987, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0777, scimark_benchmark: 932.5791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, build_cpu_time: 0.0004, build_memory: 608170240, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.6749, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0946, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.0063, build_memory: 84728560.8358, f_measure: 0.8813, kappa: 0.7521, kb_relative_information_score: 48.3783, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8836, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6855, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, build_cpu_time: 0.0047, build_memory: 574268400, f_measure: 0.6936, kappa: 0.3626, kb_relative_information_score: 28.2734, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7787, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0636, scimark_benchmark: 948.6597,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, build_cpu_time: 0.0003, build_memory: 86158616, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 29.6199, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, build_cpu_time: 0.0034, build_memory: 889406120, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 24.7081, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9307, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, build_cpu_time: 0.0207, build_memory: 281077219.8209, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 27.3142, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7781, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, build_cpu_time: 0.0009, build_memory: 1060910640, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, build_cpu_time: 0.001, build_memory: 387199065.3134, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.1658, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8609, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, build_cpu_time: 0.019, build_memory: 160116826.9851, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.429, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8601, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, build_cpu_time: 0.0564, build_memory: 27348406.209, f_measure: 0.4896, kappa: 0.0169, kb_relative_information_score: 7.4025, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.5706, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.203, scimark_benchmark: 901.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, build_cpu_time: 0.0552, build_memory: 1146620311.0448, f_measure: 0.8052, kappa: 0.5886, kb_relative_information_score: 37.0396, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8049, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8855, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, build_cpu_time: 0.0688, build_memory: 1155497312.9552, f_measure: 0.848, kappa: 0.6766, kb_relative_information_score: 44.8833, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8519, predictive_accuracy: 0.8507, prior_entropy: 0.9656, recall: 0.8507, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7928, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, build_cpu_time: 0.2035, build_memory: 1544493764.4179, f_measure: 0.848, kappa: 0.6766, kb_relative_information_score: 45.6819, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8519, predictive_accuracy: 0.8507, prior_entropy: 0.9656, recall: 0.8507, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7772, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, build_cpu_time: 0.3722, build_memory: 333216726.0896, f_measure: 0.8337, kappa: 0.6469, kb_relative_information_score: 43.3249, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8352, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8292, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, build_cpu_time: 0.0692, build_memory: 1078779311.0448, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 41.888, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8245, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, build_cpu_time: 0.0067, build_memory: 168379158.0896, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 29.6199, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, build_cpu_time: 0.0097, build_memory: 656027205.6119, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 29.6199, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, build_cpu_time: 0.011, build_memory: 292973555.5821, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 29.6199, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, build_cpu_time: 0.1139, build_memory: 294736254.4478, f_measure: 0.8052, kappa: 0.5886, kb_relative_information_score: 39.0114, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8049, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.44, root_relative_squared_error: 0.903, scimark_benchmark: 923.9118,

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