Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 245 Supervised Classification breast-w 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 210.4512, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3993, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 203.7269, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3939, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9697, kappa: 0.9374, kb_relative_information_score: 216.7993, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9717, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3631, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 206.5414, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3802, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 937.5117, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9697, kappa: 0.9374, kb_relative_information_score: 216.7993, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9717, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3631, scimark_benchmark: 943.1009, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 206.5414, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3802, scimark_benchmark: 943.1009, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 210.4512, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3993, scimark_benchmark: 608.4057, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 859.5223, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 203.7269, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3939, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9696, kappa: 0.9369, kb_relative_information_score: 216.1076, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9701, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3482, scimark_benchmark: 932.438, usercpu_time_millis: 16230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 16170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 206.5414, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3802, scimark_benchmark: 936.9595, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9611, kappa: 0.9198, kb_relative_information_score: 210.2772, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9644, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3808, scimark_benchmark: 938.988, usercpu_time_millis: 2420, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9525, kappa: 0.902, kb_relative_information_score: 209.9761, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9557, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3833, scimark_benchmark: 938.4601, usercpu_time_millis: 980, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9611, kappa: 0.9195, kb_relative_information_score: 212.3612, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9631, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3653, scimark_benchmark: 935.0213, usercpu_time_millis: 550, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9525, kappa: 0.902, kb_relative_information_score: 210.2049, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9557, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3902, scimark_benchmark: 911.2316, usercpu_time_millis: 360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9525, kappa: 0.902, kb_relative_information_score: 212.5219, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9557, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3814, scimark_benchmark: 889.4922, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9479, kappa: 0.8917, kb_relative_information_score: 214.4241, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4088, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9479, kappa: 0.8917, kb_relative_information_score: 214.4241, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4088, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9479, kappa: 0.8917, kb_relative_information_score: 214.4241, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4088, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9479, kappa: 0.8917, kb_relative_information_score: 214.4241, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4088, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9479, kappa: 0.8917, kb_relative_information_score: 214.4241, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4088, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.8581, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9297, recall: 0.6, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0075, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9434, kappa: 0.882, kb_relative_information_score: 215.0303, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.436, scimark_benchmark: 938.3115, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9434, kappa: 0.882, kb_relative_information_score: 211.4563, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.472, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 1329.8008, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9568, kappa: 0.9107, kb_relative_information_score: 219.7615, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9594, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3976, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9696, kappa: 0.9369, kb_relative_information_score: 216.1076, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9701, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3482, scimark_benchmark: 1371.4836, usercpu_time_millis: 5590, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 203.7269, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3939, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9696, kappa: 0.9369, kb_relative_information_score: 216.1076, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9701, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3482, scimark_benchmark: 1317.5857, usercpu_time_millis: 7000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9697, kappa: 0.9374, kb_relative_information_score: 216.7993, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9717, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3631, scimark_benchmark: 1350.8432, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9611, kappa: 0.9195, kb_relative_information_score: 220.9937, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9631, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4027, scimark_benchmark: 1306.5596, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 210.4512, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3993, scimark_benchmark: 1253.0071, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 1286.0816, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 1334.9442, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 203.7269, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3939, scimark_benchmark: 1329.1398, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9696, kappa: 0.9369, kb_relative_information_score: 216.1076, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9701, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3482, scimark_benchmark: 1351.1238, usercpu_time_millis: 12840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 12780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 1364.991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs