OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99484 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9572, kappa: 0.9102, kb_relative_information_score: 0.8704, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.6299, kappa: 0.2429, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6414, predictive_accuracy: 0.626, prior_entropy: 0.9674, recall: 0.626, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.611, root_relative_squared_error: 1.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.6299, kappa: 0.2429, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6414, predictive_accuracy: 0.626, prior_entropy: 0.9674, recall: 0.626, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.611, root_relative_squared_error: 1.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.6299, kappa: 0.2429, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6414, predictive_accuracy: 0.626, prior_entropy: 0.9674, recall: 0.626, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.611, root_relative_squared_error: 1.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9574, kappa: 0.9106, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9674, recall: 0.9574, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9574, kappa: 0.9106, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9674, recall: 0.9574, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9278, kappa: 0.8481, kb_relative_information_score: 0.7048, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9278, kappa: 0.8481, kb_relative_information_score: 0.7048, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9278, kappa: 0.8481, kb_relative_information_score: 0.7048, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9278, kappa: 0.8481, kb_relative_information_score: 0.7048, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9561, kappa: 0.908, kb_relative_information_score: 0.8953, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.9674, recall: 0.9561, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.528, kappa: 0.0002, kb_relative_information_score: 0.0228, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5226, predictive_accuracy: 0.5425, prior_entropy: 0.9674, recall: 0.5425, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6764, root_relative_squared_error: 1.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9535, kappa: 0.9025, kb_relative_information_score: 0.8585, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.9674, recall: 0.9535, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9535, kappa: 0.9025, kb_relative_information_score: 0.8585, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.9674, recall: 0.9535, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.5701, kappa: 0.0915, kb_relative_information_score: 0.0962, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5668, predictive_accuracy: 0.5768, prior_entropy: 0.9674, recall: 0.5768, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6503, root_relative_squared_error: 1.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.5701, kappa: 0.0915, kb_relative_information_score: 0.0962, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5668, predictive_accuracy: 0.5768, prior_entropy: 0.9674, recall: 0.5768, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6503, root_relative_squared_error: 1.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9496, kappa: 0.8944, kb_relative_information_score: 0.887, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9416, kappa: 0.8775, kb_relative_information_score: 0.7966, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5282, kappa: 0.0008, kb_relative_information_score: 0.0233, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5228, predictive_accuracy: 0.5427, prior_entropy: 0.9674, recall: 0.5427, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5282, kappa: 0.0008, kb_relative_information_score: 0.0233, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5228, predictive_accuracy: 0.5427, prior_entropy: 0.9674, recall: 0.5427, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.95, kappa: 0.8953, kb_relative_information_score: 0.8837, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9674, recall: 0.95, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.95, kappa: 0.8953, kb_relative_information_score: 0.8837, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9674, recall: 0.95, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9578, kappa: 0.9116, kb_relative_information_score: 0.8842, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9674, recall: 0.9578, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6808, kappa: 0.3314, kb_relative_information_score: 0.3179, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6807, predictive_accuracy: 0.6809, prior_entropy: 0.9674, recall: 0.6809, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9535, kappa: 0.9025, kb_relative_information_score: 0.8585, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.9674, recall: 0.9535, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.5701, kappa: 0.0915, kb_relative_information_score: 0.0962, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5668, predictive_accuracy: 0.5768, prior_entropy: 0.9674, recall: 0.5768, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6503, root_relative_squared_error: 1.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9552, kappa: 0.9062, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, recall: 0.9552, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.906, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.194, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.906, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.194, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9416, kappa: 0.8775, kb_relative_information_score: 0.7966, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9416, kappa: 0.8775, kb_relative_information_score: 0.7966, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9589, kappa: 0.914, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5282, kappa: 0.0008, kb_relative_information_score: 0.0233, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5228, predictive_accuracy: 0.5427, prior_entropy: 0.9674, recall: 0.5427, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9552, kappa: 0.9062, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, recall: 0.9552, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9496, kappa: 0.8944, kb_relative_information_score: 0.887, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9416, kappa: 0.8775, kb_relative_information_score: 0.7966, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.6606, kappa: 0.3321, kb_relative_information_score: 0.2693, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.699, predictive_accuracy: 0.6579, prior_entropy: 0.9674, recall: 0.6579, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9589, kappa: 0.9139, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9589, kappa: 0.914, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9496, kappa: 0.8944, kb_relative_information_score: 0.887, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9496, kappa: 0.8944, kb_relative_information_score: 0.887, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4416, kappa: -0.0007, kb_relative_information_score: -0.1592, mean_absolute_error: 0.5427, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4573, prior_entropy: 0.9674, recall: 0.4573, relative_absolute_error: 1.1364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7367, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9585, kappa: 0.913, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3827,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9381, kappa: 0.87, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9382, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9492, kappa: 0.8934, kb_relative_information_score: 3694.8457, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4123, scimark_benchmark: 1229.2629, usercpu_time_millis: 193.129, usercpu_time_millis_testing: 6.64, usercpu_time_millis_training: 186.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4573, kb_relative_information_score: 0.193, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1238.714, usercpu_time_millis: 35.676, usercpu_time_millis_testing: 3.793, usercpu_time_millis_training: 31.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9181, kappa: 0.8271, kb_relative_information_score: 2366.3705, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9214, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6163, scimark_benchmark: 1251.0573, usercpu_time_millis: 41.628, usercpu_time_millis_testing: 4.074, usercpu_time_millis_training: 37.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9331, kappa: 0.8593, kb_relative_information_score: 3202.0952, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9337, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.5026, scimark_benchmark: 1249.2886, usercpu_time_millis: 169.263, usercpu_time_millis_testing: 7.713, usercpu_time_millis_training: 161.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4573, kb_relative_information_score: 0.1049, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1248.1313, usercpu_time_millis: 26.339, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 23.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9311, kappa: 0.8551, kb_relative_information_score: 3137.6511, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9318, predictive_accuracy: 0.9315, prior_entropy: 0.9674, recall: 0.9315, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5118, scimark_benchmark: 1247.3414, usercpu_time_millis: 312.92, usercpu_time_millis_testing: 11.236, usercpu_time_millis_training: 301.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8196, kappa: 0.6182, kb_relative_information_score: 1665.4522, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8438, predictive_accuracy: 0.8281, prior_entropy: 0.9674, recall: 0.8281, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7519, scimark_benchmark: 1242.7725, usercpu_time_millis: 65.529, usercpu_time_millis_testing: 3.77, usercpu_time_millis_training: 61.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8705, kappa: 0.7258, kb_relative_information_score: 1735.8748, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8834, predictive_accuracy: 0.8744, prior_entropy: 0.9674, recall: 0.8744, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7294, scimark_benchmark: 1252.5273, usercpu_time_millis: 33.324, usercpu_time_millis_testing: 2.794, usercpu_time_millis_training: 30.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.849, kappa: 0.6802, kb_relative_information_score: 1576.667, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8707, predictive_accuracy: 0.8552, prior_entropy: 0.9674, recall: 0.8552, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7547, scimark_benchmark: 1253.586, usercpu_time_millis: 63.125, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 58.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8702, kappa: 0.7252, kb_relative_information_score: 1610.9769, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8878, predictive_accuracy: 0.8748, prior_entropy: 0.9674, recall: 0.8748, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.743, scimark_benchmark: 1245.367, usercpu_time_millis: 65.189, usercpu_time_millis_testing: 6.697, usercpu_time_millis_training: 58.492,

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