OpenML
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: 1346.2927,
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: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, 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: 1260.1387, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 932.5646,
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: 1314.7093,
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: 1320.9387, usercpu_time_millis: 1670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1640,
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: 1341.5795,
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: 918.0213,
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: 918.0213,
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: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1347.993, 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: 1345.7204,
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: 933.1165,
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: 933.1165,
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: 1322.7383,
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: 1354.7191, usercpu_time_millis: 2090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2070,
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: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.6066, kappa: 0.103, kb_relative_information_score: 7.5821, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6097, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.1139, scimark_benchmark: 1342.1678, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6781, kappa: 0.2661, kb_relative_information_score: 13.7933, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7028, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9761, scimark_benchmark: 854.6529, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6305, kappa: 0.1627, kb_relative_information_score: 12.5714, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6571, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.0293, scimark_benchmark: 1345.3152,
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: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, 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: 1348.7888,
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: 885.0921, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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: 1168.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6438, kappa: 0.1856, kb_relative_information_score: 12.1873, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6453, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0053, scimark_benchmark: 1308.3432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5828, kappa: 0.0486, kb_relative_information_score: 9.2765, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5787, predictive_accuracy: 0.6277, prior_entropy: 0.8796, recall: 0.6277, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5986, root_relative_squared_error: 1.2584, scimark_benchmark: 1349.9741, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, 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: 855.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.5828, kappa: 0.0486, kb_relative_information_score: 6.795, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5787, predictive_accuracy: 0.6277, prior_entropy: 0.8796, recall: 0.6277, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1145, scimark_benchmark: 944.0517, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.6543, kappa: 0.2117, kb_relative_information_score: 20.8536, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6718, predictive_accuracy: 0.6915, prior_entropy: 0.8796, recall: 0.6915, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.027, scimark_benchmark: 939.5088, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6466, kappa: 0.2044, kb_relative_information_score: 21.0781, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7016, predictive_accuracy: 0.7021, prior_entropy: 0.8796, recall: 0.7021, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0058, scimark_benchmark: 898.1296, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6466, kappa: 0.2044, kb_relative_information_score: 20.5685, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7016, predictive_accuracy: 0.7021, prior_entropy: 0.8796, recall: 0.7021, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0959, scimark_benchmark: 1331.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.6781, kappa: 0.2661, kb_relative_information_score: 15.9153, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7028, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9567, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.5648, kappa: 0.0594, kb_relative_information_score: 6.8995, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6691, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9805, scimark_benchmark: 1334.4761, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6581, kappa: 0.2184, kb_relative_information_score: 17.3298, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6596, predictive_accuracy: 0.6809, prior_entropy: 0.8796, recall: 0.6809, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9871, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.6185, kappa: 0.1529, kb_relative_information_score: 18.7403, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.698, predictive_accuracy: 0.6915, prior_entropy: 0.8796, recall: 0.6915, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9846, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6369, kappa: 0.1897, kb_relative_information_score: 22.9484, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7155, predictive_accuracy: 0.7021, prior_entropy: 0.8796, recall: 0.7021, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9821, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6543, kappa: 0.2467, kb_relative_information_score: 14.8889, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6632, predictive_accuracy: 0.6489, prior_entropy: 0.8796, recall: 0.6489, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.2456, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5979, kappa: 0.0805, kb_relative_information_score: 9.7606, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5918, predictive_accuracy: 0.6277, prior_entropy: 0.8796, recall: 0.6277, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.2828, scimark_benchmark: 1318.1432, 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: 1318.5526, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.6223, kappa: 0.1376, kb_relative_information_score: 17.453, mean_absolute_error: 0.3404, 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: 0.7813, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2265, scimark_benchmark: 1287.514, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.6547, kappa: 0.2257, kb_relative_information_score: 15.454, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7304, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9637, scimark_benchmark: 1321.527, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1250.8301,
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: 1355.9413, usercpu_time_millis: 1600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1570,
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: 1250.8301,
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: 1319.5177, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.6438, kappa: 0.1856, kb_relative_information_score: 14.1943, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.6453, predictive_accuracy: 0.6702, prior_entropy: 0.8796, recall: 0.6702, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1742, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.6136, kappa: 0.127, kb_relative_information_score: 6.2574, mean_absolute_error: 0.4041, 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: 0.9273, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.077, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.6136, kappa: 0.127, kb_relative_information_score: 6.2574, mean_absolute_error: 0.4041, 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: 0.9273, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.077, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6369, kappa: 0.1897, kb_relative_information_score: 15.6207, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7155, predictive_accuracy: 0.7021, prior_entropy: 0.8796, recall: 0.7021, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9799, scimark_benchmark: 1327.6929, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.6061, kappa: 0.1067, kb_relative_information_score: 7.1965, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5999, predictive_accuracy: 0.617, prior_entropy: 0.8796, recall: 0.617, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.6189, root_relative_squared_error: 1.3009, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5396, kappa: -0.0224, kb_relative_information_score: 9.7606, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.5294, predictive_accuracy: 0.6277, prior_entropy: 0.8796, recall: 0.6277, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.2828, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.6547, kappa: 0.2257, kb_relative_information_score: 18.9014, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.7304, predictive_accuracy: 0.7128, prior_entropy: 0.8796, recall: 0.7128, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0064, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.585, kappa: 0.0739, kb_relative_information_score: 17.453, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.615, 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: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.6185, kappa: 0.1529, kb_relative_information_score: 25.1454, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4357, number_of_instances: 94, precision: 0.698, predictive_accuracy: 0.6915, prior_entropy: 0.8796, recall: 0.6915, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4757, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1676, scimark_benchmark: 977.6382,
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: 1054.3694,
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: 1054.3694,

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