Task
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: 0.6789, f_measure: 0.7369, kappa: 0.444, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7374, predictive_accuracy: 0.7409, prior_entropy: 0.9674, recall: 0.7409, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7369, kappa: 0.444, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7374, predictive_accuracy: 0.7409, prior_entropy: 0.9674, recall: 0.7409, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7369, kappa: 0.444, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7374, predictive_accuracy: 0.7409, prior_entropy: 0.9674, recall: 0.7409, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7369, kappa: 0.444, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7374, predictive_accuracy: 0.7409, prior_entropy: 0.9674, recall: 0.7409, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7369, kappa: 0.444, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7374, predictive_accuracy: 0.7409, prior_entropy: 0.9674, recall: 0.7409, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.533, kappa: 0.1044, kb_relative_information_score: 0.2293, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7462, predictive_accuracy: 0.6396, prior_entropy: 0.9674, recall: 0.6396, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.533, kappa: 0.1044, kb_relative_information_score: 0.2293, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7462, predictive_accuracy: 0.6396, prior_entropy: 0.9674, recall: 0.6396, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.533, kappa: 0.1044, kb_relative_information_score: 0.2293, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7462, predictive_accuracy: 0.6396, prior_entropy: 0.9674, recall: 0.6396, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.533, kappa: 0.1044, kb_relative_information_score: 0.2293, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7462, predictive_accuracy: 0.6396, prior_entropy: 0.9674, recall: 0.6396, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9461, kappa: 0.887, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9461, kappa: 0.887, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9461, kappa: 0.887, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9461, kappa: 0.887, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9461, kappa: 0.887, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.6018, kappa: 0.1568, kb_relative_information_score: 0.1706, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6001, predictive_accuracy: 0.6129, prior_entropy: 0.9674, recall: 0.6129, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.6018, kappa: 0.1568, kb_relative_information_score: 0.1706, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6001, predictive_accuracy: 0.6129, prior_entropy: 0.9674, recall: 0.6129, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.6018, kappa: 0.1568, kb_relative_information_score: 0.1706, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6001, predictive_accuracy: 0.6129, prior_entropy: 0.9674, recall: 0.6129, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.6018, kappa: 0.1568, kb_relative_information_score: 0.1706, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6001, predictive_accuracy: 0.6129, prior_entropy: 0.9674, recall: 0.6129, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.6018, kappa: 0.1568, kb_relative_information_score: 0.1706, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6001, predictive_accuracy: 0.6129, prior_entropy: 0.9674, recall: 0.6129, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9486, kappa: 0.8923, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9486, kappa: 0.8923, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9486, kappa: 0.8923, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9486, kappa: 0.8923, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9486, kappa: 0.8923, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6617, kappa: 0.2891, kb_relative_information_score: 0.331, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6874, predictive_accuracy: 0.6872, prior_entropy: 0.9674, recall: 0.6872, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6617, kappa: 0.2891, kb_relative_information_score: 0.331, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6874, predictive_accuracy: 0.6872, prior_entropy: 0.9674, recall: 0.6872, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6617, kappa: 0.2891, kb_relative_information_score: 0.331, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6874, predictive_accuracy: 0.6872, prior_entropy: 0.9674, recall: 0.6872, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6617, kappa: 0.2891, kb_relative_information_score: 0.331, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6874, predictive_accuracy: 0.6872, prior_entropy: 0.9674, recall: 0.6872, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6617, kappa: 0.2891, kb_relative_information_score: 0.331, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6874, predictive_accuracy: 0.6872, prior_entropy: 0.9674, recall: 0.6872, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9552, kappa: 0.9061, kb_relative_information_score: 0.8711, mean_absolute_error: 0.065, 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: 0.1361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9552, kappa: 0.9061, kb_relative_information_score: 0.8711, mean_absolute_error: 0.065, 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: 0.1361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9552, kappa: 0.9061, kb_relative_information_score: 0.8711, mean_absolute_error: 0.065, 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: 0.1361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9552, kappa: 0.9061, kb_relative_information_score: 0.8711, mean_absolute_error: 0.065, 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: 0.1361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9552, kappa: 0.9061, kb_relative_information_score: 0.8711, mean_absolute_error: 0.065, 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: 0.1361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.61, kappa: 0.1741, kb_relative_information_score: 0.2, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6115, predictive_accuracy: 0.626, prior_entropy: 0.9674, recall: 0.626, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9094, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9094, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9094, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.61, kappa: 0.1741, kb_relative_information_score: 0.2, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6115, predictive_accuracy: 0.626, prior_entropy: 0.9674, recall: 0.626, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9094, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9094, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.6481, kappa: 0.2682, kb_relative_information_score: 0.2436, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.651, predictive_accuracy: 0.6462, prior_entropy: 0.9674, recall: 0.6462, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5937, root_relative_squared_error: 1.2151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9574, kappa: 0.9107, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0518, 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: 0.1084, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9509, kappa: 0.8971, kb_relative_information_score: 0.8625, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3926,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9509, kappa: 0.8971, kb_relative_information_score: 0.8625, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9509, kappa: 0.8971, kb_relative_information_score: 0.8625, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3926,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3814,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9565, kappa: 0.909, kb_relative_information_score: 0.8906, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9566, predictive_accuracy: 0.9565, prior_entropy: 0.9674, recall: 0.9565, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9204, kappa: 0.8321, kb_relative_information_score: 0.612, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9222, predictive_accuracy: 0.9211, prior_entropy: 0.9674, recall: 0.9211, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9561, kappa: 0.9079, kb_relative_information_score: 0.8654, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.9674, recall: 0.9561, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6316, kappa: 0.2197, kb_relative_information_score: 0.24, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6329, predictive_accuracy: 0.6442, prior_entropy: 0.9674, recall: 0.6442, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9546, kappa: 0.9049, kb_relative_information_score: 0.8989, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.9674, recall: 0.9546, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9464, kappa: 0.8876, kb_relative_information_score: 0.8858, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4732,

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