Task
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 243 Supervised Classification breast-cancer 325 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6843, kappa: 0.2786, kb_relative_information_score: 18.6971, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.978, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.6225, kappa: 0.1424, kb_relative_information_score: 1.6864, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6393, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9977, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5812, kappa: 0.0511, kb_relative_information_score: 6.8359, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5842, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0634, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5243, kb_relative_information_score: 17.453, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.435, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2265, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.5993, kappa: 0.1154, kb_relative_information_score: 10.0802, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6767, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.004, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.6125, kappa: 0.1142, kb_relative_information_score: 13.9068, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6078, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0897, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5779, kappa: 0.0537, kb_relative_information_score: 11.5145, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5936, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0137, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5243, kb_relative_information_score: 17.453, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.435, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2265, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.6125, kappa: 0.1142, kb_relative_information_score: 13.9068, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6078, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0897, scimark_benchmark: 943.1009, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5779, kappa: 0.0537, kb_relative_information_score: 11.5145, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5936, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0137, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6843, kappa: 0.2786, kb_relative_information_score: 18.6971, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.978, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.6225, kappa: 0.1424, kb_relative_information_score: 1.6864, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6393, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9977, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5812, kappa: 0.0511, kb_relative_information_score: 6.8359, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5842, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0634, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5243, kb_relative_information_score: 17.453, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.435, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2265, scimark_benchmark: 859.5223, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6386, kappa: 0.1774, kb_relative_information_score: 20.0885, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6562, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.0374, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.5993, kappa: 0.1154, kb_relative_information_score: 10.0802, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6767, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.004, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6225, kappa: 0.1424, kb_relative_information_score: 11.686, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6393, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0712, scimark_benchmark: 932.438, usercpu_time_millis: 2390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.6125, kappa: 0.1142, kb_relative_information_score: 13.9068, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6078, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0897, scimark_benchmark: 932.438, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5779, kappa: 0.0537, kb_relative_information_score: 11.5145, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5936, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0137, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.6136, kappa: 0.127, kb_relative_information_score: 14.2594, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6386, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9753, scimark_benchmark: 938.4601, usercpu_time_millis: 3030, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.6035, kappa: 0.111, kb_relative_information_score: 14.4664, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6392, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9696, scimark_benchmark: 934.695, usercpu_time_millis: 1670, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6136, kappa: 0.127, kb_relative_information_score: 14.8624, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6386, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9641, scimark_benchmark: 944.235, usercpu_time_millis: 650, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6145, kappa: 0.1225, kb_relative_information_score: 13.0855, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6237, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9897, scimark_benchmark: 939.7883, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6035, kappa: 0.111, kb_relative_information_score: 13.006, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6392, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9947, scimark_benchmark: 889.4922, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.6223, kappa: 0.1376, kb_relative_information_score: 10.048, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6268, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0648, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.6223, kappa: 0.1376, kb_relative_information_score: 10.048, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6268, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0648, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.6223, kappa: 0.1376, kb_relative_information_score: 10.048, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6268, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0648, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.6223, kappa: 0.1376, kb_relative_information_score: 10.048, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6268, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0648, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.6058, kappa: 0.1069, kb_relative_information_score: 9.4986, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6207, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0649, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5243, kb_relative_information_score: 1.4012, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.435, predictive_accuracy: 0.6596, prior_entropy: 0.8796, recall: 0.6596, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0046, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6225, kappa: 0.1424, kb_relative_information_score: 11.686, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6393, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0712, scimark_benchmark: 1354.5533, usercpu_time_millis: 1490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5779, kappa: 0.0537, kb_relative_information_score: 11.5145, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5936, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0137, 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: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6225, kappa: 0.1424, kb_relative_information_score: 11.686, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6393, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0712, scimark_benchmark: 1317.5348, usercpu_time_millis: 1490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.6125, kappa: 0.1142, kb_relative_information_score: 13.9068, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6078, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0897, scimark_benchmark: 1331.1314, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.611, kappa: 0.1318, kb_relative_information_score: 22.5812, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6653, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.1876, scimark_benchmark: 1306.5596, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, f_measure: 0.6551, kappa: 0.2185, kb_relative_information_score: 16.7399, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6935, predictive_accuracy: 0.7021, prior_entropy: 0.8796, recall: 0.7021, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9852, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5812, kappa: 0.0511, kb_relative_information_score: 6.8359, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5842, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0634, scimark_benchmark: 1313.8988, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5779, kappa: 0.0537, kb_relative_information_score: 11.5145, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5936, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0137, scimark_benchmark: 1348.2804, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6843, kappa: 0.2786, kb_relative_information_score: 18.6971, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.978, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5987, kappa: 0.0837, kb_relative_information_score: 12.3247, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5971, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.6014, root_relative_squared_error: 1.2643, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 19.0982, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.034, scimark_benchmark: 1325.8773, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.6125, kappa: 0.1142, kb_relative_information_score: 13.9068, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6078, predictive_accuracy: 0.6383, prior_entropy: 0.8796, recall: 0.6383, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0897, scimark_benchmark: 1325.1482, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5779, kappa: 0.0537, kb_relative_information_score: 11.5145, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5936, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0137, scimark_benchmark: 1351.1238, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6459, kappa: 0.1915, kb_relative_information_score: 20.514, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6566, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0156, scimark_benchmark: 1360.8502, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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