OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 2382 Supervised Classification wine 544 runs submitted
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  • study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9325, kappa: 0.8975, kb_relative_information_score: 159.6069, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9325, predictive_accuracy: 0.9326, prior_entropy: 1.5674, recall: 0.9326, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4486, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 169.9122, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2129, scimark_benchmark: 1320.9387, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 174.0645, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1799, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 174.0645, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1799, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9832, kappa: 0.9745, kb_relative_information_score: 173.859, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2258, scimark_benchmark: 1357.5655, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.983, kb_relative_information_score: 174.118, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9891, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.1736, scimark_benchmark: 1345.4669, usercpu_time_millis: 460, usercpu_time_millis_testing: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8988, kappa: 0.8467, kb_relative_information_score: 148.0831, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8994, predictive_accuracy: 0.8989, prior_entropy: 1.5674, recall: 0.8989, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5391, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9438, kappa: 0.9147, kb_relative_information_score: 161.9772, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3747, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 147.7765, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3421, scimark_benchmark: 1333.8751, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9606, kappa: 0.9405, kb_relative_information_score: 146.9829, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9618, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3576, scimark_benchmark: 1347.5461, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9438, kappa: 0.9147, kb_relative_information_score: 161.9772, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3747, scimark_benchmark: 1365.1392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8597, kappa: 0.7855, kb_relative_information_score: 142.8753, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8619, predictive_accuracy: 0.8596, prior_entropy: 1.5674, recall: 0.8596, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6532, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 1356.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9495, kappa: 0.9232, kb_relative_information_score: 163.1737, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3589, scimark_benchmark: 1330.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8801, kappa: 0.8226, kb_relative_information_score: 131.4928, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8858, predictive_accuracy: 0.882, prior_entropy: 1.5674, recall: 0.882, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5582, scimark_benchmark: 1318.5627, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9546, kappa: 0.9321, kb_relative_information_score: 165.5262, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9586, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3666, scimark_benchmark: 1299.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7085, kappa: 0.5774, kb_relative_information_score: 109.499, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7591, predictive_accuracy: 0.7191, prior_entropy: 1.5674, recall: 0.7191, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9238, scimark_benchmark: 1316.5986, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9383, kappa: 0.906, kb_relative_information_score: 160.5565, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9392, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4289, scimark_benchmark: 1301.2156, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.972, kappa: 0.9575, kb_relative_information_score: 147.5293, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9734, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3462, scimark_benchmark: 1358.4523, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9832, kappa: 0.9745, kb_relative_information_score: 173.6142, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2283, scimark_benchmark: 1341.4232, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9888, kappa: 0.983, kb_relative_information_score: 170.7419, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9889, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.097, root_relative_squared_error: 0.2071, scimark_benchmark: 1307.3764, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9549, kappa: 0.9318, kb_relative_information_score: 148.1469, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3625, scimark_benchmark: 1313.6093, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9549, kappa: 0.9318, kb_relative_information_score: 148.6274, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3589, scimark_benchmark: 1332.6143, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 1348.8637, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1176.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9212, kappa: 0.8808, kb_relative_information_score: 157.311, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9216, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4754, scimark_benchmark: 1384.8417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9406, kb_relative_information_score: 166.0946, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9629, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044, scimark_benchmark: 1316.0472, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 1341.5768, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9441, kappa: 0.9144, kb_relative_information_score: 163.9591, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9453, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4131, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9038, kappa: 0.8537, kb_relative_information_score: 148.8233, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9086, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5262, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9045, kappa: 0.8551, kb_relative_information_score: 149.5041, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5246, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 169.8976, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.32, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.476, f_measure: 0.1807, kappa: -0.044, kb_relative_information_score: 6.2555, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.3035, predictive_accuracy: 0.3034, prior_entropy: 1.5674, recall: 0.3034, relative_absolute_error: 1.058, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6815, root_relative_squared_error: 1.4548, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9383, kappa: 0.906, kb_relative_information_score: 161.5959, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9386, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4322, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7653, kappa: 0.6514, kb_relative_information_score: 121.8334, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7809, predictive_accuracy: 0.7697, prior_entropy: 1.5674, recall: 0.7697, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8365, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 170.9839, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2135, scimark_benchmark: 921.8984, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9101, kappa: 0.8633, kb_relative_information_score: 155.7115, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9105, predictive_accuracy: 0.9101, prior_entropy: 1.5674, recall: 0.9101, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5226, scimark_benchmark: 1345.5871, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2275, kb_relative_information_score: 0.1107, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9382, kappa: 0.906, kb_relative_information_score: 160.9221, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4292, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.5156, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2613, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.5563, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2763, scimark_benchmark: 908.0036, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 170.5362, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2906, scimark_benchmark: 942.6953, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 170.0275, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3094, scimark_benchmark: 939.7623, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9094, kappa: 0.8645, kb_relative_information_score: 155.7068, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 1.5674, recall: 0.9101, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.5005, scimark_benchmark: 923.7642, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9094, kappa: 0.8645, kb_relative_information_score: 154.9477, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 1.5674, recall: 0.9101, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5078, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.915, kappa: 0.8732, kb_relative_information_score: 155.8857, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9213, predictive_accuracy: 0.9157, prior_entropy: 1.5674, recall: 0.9157, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4752, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8981, kappa: 0.8477, kb_relative_information_score: 150.0793, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 1.5674, recall: 0.8989, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5302, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8393, kappa: 0.7642, kb_relative_information_score: 129.6604, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8514, predictive_accuracy: 0.8427, prior_entropy: 1.5674, recall: 0.8427, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.59, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9775, kappa: 0.966, kb_relative_information_score: 172.5493, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9782, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2605, scimark_benchmark: 938.4278, usercpu_time_millis: 190, usercpu_time_millis_training: 190,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs