Task
Supervised Classification on climate-model-simulation-crashes

Supervised Classification on climate-model-simulation-crashes

Task 9980 Supervised Classification climate-model-simulation-crashes 99429 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.8588, kappa: 0.0151, kb_relative_information_score: -0.1124, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8466, predictive_accuracy: 0.8722, prior_entropy: 0.4202, recall: 0.8722, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.8588, kappa: 0.0151, kb_relative_information_score: -0.1124, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8466, predictive_accuracy: 0.8722, prior_entropy: 0.4202, recall: 0.8722, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.8588, kappa: 0.0151, kb_relative_information_score: -0.1124, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8466, predictive_accuracy: 0.8722, prior_entropy: 0.4202, recall: 0.8722, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: 0.1939, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8363, predictive_accuracy: 0.9074, prior_entropy: 0.4202, recall: 0.9074, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.8663, kappa: 0.035, kb_relative_information_score: 0.0004, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8505, predictive_accuracy: 0.8852, prior_entropy: 0.4202, recall: 0.8852, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.8672, kappa: 0.0184, kb_relative_information_score: 0.0488, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8479, predictive_accuracy: 0.8907, prior_entropy: 0.4202, recall: 0.8907, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.8663, kappa: 0.035, kb_relative_information_score: 0.0004, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8505, predictive_accuracy: 0.8852, prior_entropy: 0.4202, recall: 0.8852, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4663, f_measure: 0.8344, kappa: -0.068, kb_relative_information_score: -0.4349, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8335, predictive_accuracy: 0.8352, prior_entropy: 0.4202, recall: 0.8352, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.406, root_relative_squared_error: 1.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: 0.2422, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4202, recall: 0.913, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.295, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.8593, kappa: 0.097, kb_relative_information_score: -0.2253, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8593, predictive_accuracy: 0.8593, prior_entropy: 0.4202, recall: 0.8593, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.3439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.85, kappa: 0.0749, kb_relative_information_score: -0.3543, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8559, predictive_accuracy: 0.8444, prior_entropy: 0.4202, recall: 0.8444, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.8663, kappa: 0.035, kb_relative_information_score: 0.0004, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8505, predictive_accuracy: 0.8852, prior_entropy: 0.4202, recall: 0.8852, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.8546, kappa: 0.0855, kb_relative_information_score: -0.2898, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8575, predictive_accuracy: 0.8519, prior_entropy: 0.4202, recall: 0.8519, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3849, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.8739, kappa: 0.1665, kb_relative_information_score: -0.0641, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8702, predictive_accuracy: 0.8778, prior_entropy: 0.4202, recall: 0.8778, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.8739, kappa: 0.1665, kb_relative_information_score: -0.0641, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8702, predictive_accuracy: 0.8778, prior_entropy: 0.4202, recall: 0.8778, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.8499, kappa: 0.0601, kb_relative_information_score: -0.3382, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8535, predictive_accuracy: 0.8463, prior_entropy: 0.4202, recall: 0.8463, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.8499, kappa: 0.0601, kb_relative_information_score: -0.3382, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8535, predictive_accuracy: 0.8463, prior_entropy: 0.4202, recall: 0.8463, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.8569, kappa: 0.0911, kb_relative_information_score: -0.2576, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8584, predictive_accuracy: 0.8556, prior_entropy: 0.4202, recall: 0.8556, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.8569, kappa: 0.0911, kb_relative_information_score: -0.2576, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8584, predictive_accuracy: 0.8556, prior_entropy: 0.4202, recall: 0.8556, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.8499, kappa: 0.0601, kb_relative_information_score: -0.3382, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8535, predictive_accuracy: 0.8463, prior_entropy: 0.4202, recall: 0.8463, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.8713, kappa: -0.0105, kb_relative_information_score: 0.21, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8365, predictive_accuracy: 0.9093, prior_entropy: 0.4202, recall: 0.9093, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.8713, kappa: -0.0105, kb_relative_information_score: 0.21, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8365, predictive_accuracy: 0.9093, prior_entropy: 0.4202, recall: 0.9093, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.8713, kappa: -0.0105, kb_relative_information_score: 0.21, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8365, predictive_accuracy: 0.9093, prior_entropy: 0.4202, recall: 0.9093, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.8703, kappa: 0.028, kb_relative_information_score: 0.0971, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8505, predictive_accuracy: 0.8963, prior_entropy: 0.4202, recall: 0.8963, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.322, root_relative_squared_error: 1.1536,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.8569, kappa: 0.0911, kb_relative_information_score: -0.2576, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8584, predictive_accuracy: 0.8556, prior_entropy: 0.4202, recall: 0.8556, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3801, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2584, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,

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