Task
Supervised Classification on churn

Supervised Classification on churn

Task 167141 Supervised Classification churn 5428 runs submitted
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5428 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8304, kappa: 0.2251, kb_relative_information_score: 0.1615, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8542, number_of_instances: 5000, precision: 0.8226, predictive_accuracy: 0.8542, prior_entropy: 0.5879, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8815, unweighted_recall: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1613, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8806, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.8181, kappa: 0.1264, kb_relative_information_score: 0.0384, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8682, number_of_instances: 5000, precision: 0.8676, predictive_accuracy: 0.8682, prior_entropy: 0.5879, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.9033, unweighted_recall: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8232, kappa: 0.1741, kb_relative_information_score: 0.1179, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8562, number_of_instances: 5000, precision: 0.8178, predictive_accuracy: 0.8562, prior_entropy: 0.5879, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.883, unweighted_recall: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8305, kappa: 0.2249, kb_relative_information_score: 0.162, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8229, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8812, unweighted_recall: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8304, kappa: 0.2251, kb_relative_information_score: 0.1615, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8542, number_of_instances: 5000, precision: 0.8226, predictive_accuracy: 0.8542, prior_entropy: 0.5879, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8815, unweighted_recall: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1613, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8806, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.155, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.8181, kappa: 0.1264, kb_relative_information_score: 0.0384, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8682, number_of_instances: 5000, precision: 0.8676, predictive_accuracy: 0.8682, prior_entropy: 0.5879, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.9033, unweighted_recall: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8232, kappa: 0.1741, kb_relative_information_score: 0.1179, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8562, number_of_instances: 5000, precision: 0.8178, predictive_accuracy: 0.8562, prior_entropy: 0.5879, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.883, unweighted_recall: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1613, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8806, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1613, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8806, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1621, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.8809, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8291, kappa: 0.2153, kb_relative_information_score: 0.1799, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8863, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1618, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.8808, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1618, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.8808, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8302, kappa: 0.2232, kb_relative_information_score: 0.1618, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8544, number_of_instances: 5000, precision: 0.8225, predictive_accuracy: 0.8544, prior_entropy: 0.5879, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.8808, unweighted_recall: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8299, kappa: 0.2216, kb_relative_information_score: 0.1619, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8542, number_of_instances: 5000, precision: 0.8221, predictive_accuracy: 0.8542, prior_entropy: 0.5879, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8811, unweighted_recall: 0.5855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8299, kappa: 0.2216, kb_relative_information_score: 0.1619, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8542, number_of_instances: 5000, precision: 0.8221, predictive_accuracy: 0.8542, prior_entropy: 0.5879, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8811, unweighted_recall: 0.5855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8299, kappa: 0.2216, kb_relative_information_score: 0.1619, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8542, number_of_instances: 5000, precision: 0.8221, predictive_accuracy: 0.8542, prior_entropy: 0.5879, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8811, unweighted_recall: 0.5855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8219, kappa: 0.1475, kb_relative_information_score: -0.0002, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8682, number_of_instances: 5000, precision: 0.8548, predictive_accuracy: 0.8682, prior_entropy: 0.5879, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9013, unweighted_recall: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8219, kappa: 0.1475, kb_relative_information_score: -0.0002, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8682, number_of_instances: 5000, precision: 0.8548, predictive_accuracy: 0.8682, prior_entropy: 0.5879, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9013, unweighted_recall: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8219, kappa: 0.1475, kb_relative_information_score: -0.0002, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8682, number_of_instances: 5000, precision: 0.8548, predictive_accuracy: 0.8682, prior_entropy: 0.5879, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9013, unweighted_recall: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8219, kappa: 0.1475, kb_relative_information_score: -0.0002, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8682, number_of_instances: 5000, precision: 0.8548, predictive_accuracy: 0.8682, prior_entropy: 0.5879, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9013, unweighted_recall: 0.5469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8305, kappa: 0.2249, kb_relative_information_score: 0.1621, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8229, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8811, unweighted_recall: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8305, kappa: 0.2249, kb_relative_information_score: 0.1621, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8546, number_of_instances: 5000, precision: 0.8229, predictive_accuracy: 0.8546, prior_entropy: 0.5879, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8811, unweighted_recall: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.217, kb_relative_information_score: 0.1551, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8548, number_of_instances: 5000, precision: 0.8219, predictive_accuracy: 0.8548, prior_entropy: 0.5879, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8804, unweighted_recall: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8351, kappa: 0.2449, kb_relative_information_score: 0.1523, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2429, weighted_recall: 0.859, number_of_instances: 5000, precision: 0.8293, predictive_accuracy: 0.859, prior_entropy: 0.5879, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.9066, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8351, kappa: 0.2449, kb_relative_information_score: 0.1523, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2429, weighted_recall: 0.859, number_of_instances: 5000, precision: 0.8293, predictive_accuracy: 0.859, prior_entropy: 0.5879, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.9066, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8351, kappa: 0.2449, kb_relative_information_score: 0.1523, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2429, weighted_recall: 0.859, number_of_instances: 5000, precision: 0.8293, predictive_accuracy: 0.859, prior_entropy: 0.5879, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.9066, unweighted_recall: 0.5942,

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