OpenML
Supervised Classification on rabe_148

Supervised Classification on rabe_148

Task 3757 Supervised Classification rabe_148 533 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 56.5417, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4261, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.6836, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3641, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.6193, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4414, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60.0003, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3032, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.0314, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9583, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.383, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 57.4732, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3624, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 57.5632, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3462, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.5778, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4207, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.5778, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4207, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60.0003, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3032, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.0314, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9583, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.383, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.1408, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.5849, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.4888, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.9838, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3743, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.5635, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4827, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7564, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3469, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 55.8898, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3602, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9241, kappa: 0.8485, kb_relative_information_score: 54.1671, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9278, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4698, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9241, kappa: 0.8485, kb_relative_information_score: 54.1671, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9278, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4698, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 57.5632, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3462, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.5849, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.4888, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.9838, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3743, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.5635, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4827, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 937.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7564, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3469, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 930.404,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7564, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3469, scimark_benchmark: 1325.8468,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9241, kappa: 0.8485, kb_relative_information_score: 54.1671, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9278, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4698, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.9838, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3743, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.6458, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3642, scimark_benchmark: 1353.0836, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9241, kappa: 0.8485, kb_relative_information_score: 54.1671, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9278, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4698, scimark_benchmark: 1340.9446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7564, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3469, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 55.8898, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3602, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.7564, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3469, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1331.2559,

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