Task
Supervised Classification on dna

Supervised Classification on dna

Task 167140 Supervised Classification dna 4953 runs submitted
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4953 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9218, kappa: 0.8729, kb_relative_information_score: 0.8657, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.41, weighted_recall: 0.9218, number_of_instances: 3186, precision: 0.9218, predictive_accuracy: 0.9218, prior_entropy: 1.4798, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4638, unweighted_recall: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9295, kappa: 0.8854, kb_relative_information_score: 0.8876, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.41, weighted_recall: 0.9294, number_of_instances: 3186, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 1.4798, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4549, unweighted_recall: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9421, kappa: 0.906, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.41, weighted_recall: 0.9419, number_of_instances: 3186, precision: 0.9425, predictive_accuracy: 0.9419, prior_entropy: 1.4798, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3859, unweighted_recall: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.952, kappa: 0.922, kb_relative_information_score: 0.7839, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.41, weighted_recall: 0.952, number_of_instances: 3186, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 1.4798, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4171, unweighted_recall: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9509, kappa: 0.9202, kb_relative_information_score: 0.8825, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.41, weighted_recall: 0.9507, number_of_instances: 3186, precision: 0.9513, predictive_accuracy: 0.9507, prior_entropy: 1.4798, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3501, unweighted_recall: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9237, kappa: 0.8759, kb_relative_information_score: 0.8674, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.41, weighted_recall: 0.9237, number_of_instances: 3186, precision: 0.9237, predictive_accuracy: 0.9237, prior_entropy: 1.4798, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4603, unweighted_recall: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9218, kappa: 0.8729, kb_relative_information_score: 0.8657, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.41, weighted_recall: 0.9218, number_of_instances: 3186, precision: 0.9218, predictive_accuracy: 0.9218, prior_entropy: 1.4798, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4638, unweighted_recall: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9295, kappa: 0.8854, kb_relative_information_score: 0.8876, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.41, weighted_recall: 0.9294, number_of_instances: 3186, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 1.4798, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4549, unweighted_recall: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9421, kappa: 0.906, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.41, weighted_recall: 0.9419, number_of_instances: 3186, precision: 0.9425, predictive_accuracy: 0.9419, prior_entropy: 1.4798, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3859, unweighted_recall: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.952, kappa: 0.922, kb_relative_information_score: 0.7839, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.41, weighted_recall: 0.952, number_of_instances: 3186, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 1.4798, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4171, unweighted_recall: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9509, kappa: 0.9202, kb_relative_information_score: 0.8825, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.41, weighted_recall: 0.9507, number_of_instances: 3186, precision: 0.9513, predictive_accuracy: 0.9507, prior_entropy: 1.4798, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3501, unweighted_recall: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9493, kappa: 0.9176, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.41, weighted_recall: 0.9492, number_of_instances: 3186, precision: 0.9496, predictive_accuracy: 0.9492, prior_entropy: 1.4798, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3876, unweighted_recall: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9493, kappa: 0.9176, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.41, weighted_recall: 0.9492, number_of_instances: 3186, precision: 0.9496, predictive_accuracy: 0.9492, prior_entropy: 1.4798, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3876, unweighted_recall: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9376, kappa: 0.8986, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.41, weighted_recall: 0.9375, number_of_instances: 3186, precision: 0.9378, predictive_accuracy: 0.9375, prior_entropy: 1.4798, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4222, unweighted_recall: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.948, kappa: 0.9155, kb_relative_information_score: 0.8932, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.41, weighted_recall: 0.9479, number_of_instances: 3186, precision: 0.9483, predictive_accuracy: 0.9479, prior_entropy: 1.4798, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3872, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9433, kappa: 0.9079, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.41, weighted_recall: 0.9432, number_of_instances: 3186, precision: 0.9436, predictive_accuracy: 0.9432, prior_entropy: 1.4798, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4025, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9433, kappa: 0.9079, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.41, weighted_recall: 0.9432, number_of_instances: 3186, precision: 0.9436, predictive_accuracy: 0.9432, prior_entropy: 1.4798, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4025, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9433, kappa: 0.9079, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.41, weighted_recall: 0.9432, number_of_instances: 3186, precision: 0.9436, predictive_accuracy: 0.9432, prior_entropy: 1.4798, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4025, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9329, kappa: 0.891, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.41, weighted_recall: 0.9328, number_of_instances: 3186, precision: 0.933, predictive_accuracy: 0.9328, prior_entropy: 1.4798, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4326, unweighted_recall: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9329, kappa: 0.891, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.41, weighted_recall: 0.9328, number_of_instances: 3186, precision: 0.933, predictive_accuracy: 0.9328, prior_entropy: 1.4798, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4326, unweighted_recall: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9329, kappa: 0.891, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.41, weighted_recall: 0.9328, number_of_instances: 3186, precision: 0.933, predictive_accuracy: 0.9328, prior_entropy: 1.4798, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4326, unweighted_recall: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9445, kappa: 0.9097, kb_relative_information_score: 0.7223, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.41, weighted_recall: 0.9444, number_of_instances: 3186, precision: 0.9445, predictive_accuracy: 0.9444, prior_entropy: 1.4798, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4747, unweighted_recall: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9445, kappa: 0.9097, kb_relative_information_score: 0.7223, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.41, weighted_recall: 0.9444, number_of_instances: 3186, precision: 0.9445, predictive_accuracy: 0.9444, prior_entropy: 1.4798, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4747, unweighted_recall: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9445, kappa: 0.9097, kb_relative_information_score: 0.7223, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.41, weighted_recall: 0.9444, number_of_instances: 3186, precision: 0.9445, predictive_accuracy: 0.9444, prior_entropy: 1.4798, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4747, unweighted_recall: 0.9386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9281, kappa: 0.8832, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.41, weighted_recall: 0.9281, number_of_instances: 3186, precision: 0.9282, predictive_accuracy: 0.9281, prior_entropy: 1.4798, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4476, unweighted_recall: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9281, kappa: 0.8832, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.41, weighted_recall: 0.9281, number_of_instances: 3186, precision: 0.9282, predictive_accuracy: 0.9281, prior_entropy: 1.4798, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4476, unweighted_recall: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9281, kappa: 0.8832, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.41, weighted_recall: 0.9281, number_of_instances: 3186, precision: 0.9282, predictive_accuracy: 0.9281, prior_entropy: 1.4798, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4476, unweighted_recall: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.953, kappa: 0.9237, kb_relative_information_score: 0.889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.41, weighted_recall: 0.9529, number_of_instances: 3186, precision: 0.9532, predictive_accuracy: 0.9529, prior_entropy: 1.4798, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9395, kappa: 0.9016, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.41, weighted_recall: 0.9394, number_of_instances: 3186, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 1.4798, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4227, unweighted_recall: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9395, kappa: 0.9016, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.41, weighted_recall: 0.9394, number_of_instances: 3186, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 1.4798, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4227, unweighted_recall: 0.9326,

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