OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 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: 0.4876, f_measure: 0.4697, kappa: -0.0248, kb_relative_information_score: -0.0248, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4857, predictive_accuracy: 0.4876, prior_entropy: 1, recall: 0.4876, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7158, root_relative_squared_error: 1.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.4621, kappa: 0.0908, kb_relative_information_score: 0.0908, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6193, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6743, root_relative_squared_error: 1.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.4843, kappa: 0.0281, kb_relative_information_score: 0.0281, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5182, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5357, kappa: 0.17, kb_relative_information_score: 0.17, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6478, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.2884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5357, kappa: 0.17, kb_relative_information_score: 0.17, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6478, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.2884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.4539, kappa: 0.0693, kb_relative_information_score: 0.0693, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5848, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6822, root_relative_squared_error: 1.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3924, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4796, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4801, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4796, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4801, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.4773, kappa: 0.1007, kb_relative_information_score: 0.1007, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6141, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6706, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6444, kappa: 0.33, kb_relative_information_score: 0.33, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7149, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.393, kappa: -0.0083, kb_relative_information_score: -0.0083, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4872, predictive_accuracy: 0.4959, prior_entropy: 1, recall: 0.4959, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.71, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6444, kappa: 0.33, kb_relative_information_score: 0.33, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7149, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4794, kappa: -0.0413, kb_relative_information_score: -0.0413, mean_absolute_error: 0.5206, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4794, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4794, kappa: -0.0413, kb_relative_information_score: -0.0413, mean_absolute_error: 0.5206, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4794, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.4761, kappa: -0.0479, kb_relative_information_score: -0.0479, mean_absolute_error: 0.5239, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4761, predictive_accuracy: 0.4761, prior_entropy: 1, recall: 0.4761, relative_absolute_error: 1.0479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7238, root_relative_squared_error: 1.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.4773, kappa: 0.1007, kb_relative_information_score: 0.1007, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6141, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6706, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6282, kappa: 0.2739, kb_relative_information_score: 0.2739, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6512, predictive_accuracy: 0.637, prior_entropy: 1, recall: 0.637, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, f_measure: 0.4032, kappa: -0.0231, kb_relative_information_score: -0.0231, mean_absolute_error: 0.5116, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4731, predictive_accuracy: 0.4884, prior_entropy: 1, recall: 0.4884, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7152, root_relative_squared_error: 1.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4589, kappa: -0.0215, kb_relative_information_score: -0.0215, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4862, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6364, kappa: 0.2987, kb_relative_information_score: 0.2987, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6742, predictive_accuracy: 0.6493, prior_entropy: 1, recall: 0.6493, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5922, root_relative_squared_error: 1.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.392, kappa: -0.005, kb_relative_information_score: -0.005, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4919, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4895, kappa: -0.0116, kb_relative_information_score: -0.0116, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.494, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9538, kappa: 0.9076, kb_relative_information_score: 0.9076, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 1, recall: 0.9538, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.4844, kappa: -0.0264, kb_relative_information_score: -0.0264, mean_absolute_error: 0.5132, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4866, predictive_accuracy: 0.4868, prior_entropy: 1, recall: 0.4868, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7164, root_relative_squared_error: 1.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.005, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7751, kappa: 0.566, kb_relative_information_score: 0.566, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8292, predictive_accuracy: 0.783, prior_entropy: 1, recall: 0.783, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7751, kappa: 0.566, kb_relative_information_score: 0.566, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8292, predictive_accuracy: 0.783, prior_entropy: 1, recall: 0.783, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7751, kappa: 0.566, kb_relative_information_score: 0.566, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8292, predictive_accuracy: 0.783, prior_entropy: 1, recall: 0.783, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5277, kappa: 0.0875, kb_relative_information_score: 0.0875, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5506, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6755, root_relative_squared_error: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5277, kappa: 0.0875, kb_relative_information_score: 0.0875, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5506, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6755, root_relative_squared_error: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.491, kappa: -0.0099, kb_relative_information_score: -0.0099, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4949, predictive_accuracy: 0.495, prior_entropy: 1, recall: 0.495, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4909, kappa: -0.0182, kb_relative_information_score: -0.0182, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4909, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.618, kappa: 0.2706, kb_relative_information_score: 0.2706, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6653, predictive_accuracy: 0.6353, prior_entropy: 1, recall: 0.6353, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.2078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.618, kappa: 0.2706, kb_relative_information_score: 0.2706, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6653, predictive_accuracy: 0.6353, prior_entropy: 1, recall: 0.6353, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.2078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4638, kappa: -0.0297, kb_relative_information_score: -0.0297, mean_absolute_error: 0.5149, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4823, predictive_accuracy: 0.4851, prior_entropy: 1, recall: 0.4851, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.4351,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4638, kappa: -0.0297, kb_relative_information_score: -0.0297, mean_absolute_error: 0.5149, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4823, predictive_accuracy: 0.4851, prior_entropy: 1, recall: 0.4851, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.4351,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5583, kappa: 0.203, kb_relative_information_score: 0.203, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6667, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6313, root_relative_squared_error: 1.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5938, kappa: 0.2096, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6175, predictive_accuracy: 0.6048, prior_entropy: 1, recall: 0.6048, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6287, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5493, kappa: 0.1881, kb_relative_information_score: 0.1881, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6561, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6371, root_relative_squared_error: 1.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, f_measure: 0.4032, kappa: -0.0231, kb_relative_information_score: -0.0231, mean_absolute_error: 0.5116, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4731, predictive_accuracy: 0.4884, prior_entropy: 1, recall: 0.4884, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7152, root_relative_squared_error: 1.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0066, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,

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