OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9469, kappa: 0.8824, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9468, number_of_instances: 601, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 0.9274, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4182, unweighted_recall: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9498, kappa: 0.8879, kb_relative_information_score: 0.7369, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9501, number_of_instances: 601, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.9274, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4691, unweighted_recall: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8449, kappa: 0.6471, kb_relative_information_score: 0.3132, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8536, number_of_instances: 601, precision: 0.8644, predictive_accuracy: 0.8536, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7862, unweighted_recall: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9699, kappa: 0.9329, kb_relative_information_score: 0.6639, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4507, weighted_recall: 0.97, number_of_instances: 601, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 0.9274, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4819, unweighted_recall: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5534, kappa: -0.0139, kb_relative_information_score: 0.0091, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5724, number_of_instances: 601, precision: 0.5429, predictive_accuracy: 0.5724, prior_entropy: 0.9274, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3778, unweighted_recall: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9469, kappa: 0.8824, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9468, number_of_instances: 601, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 0.9274, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4182, unweighted_recall: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8449, kappa: 0.6471, kb_relative_information_score: 0.3132, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8536, number_of_instances: 601, precision: 0.8644, predictive_accuracy: 0.8536, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7862, unweighted_recall: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9699, kappa: 0.9329, kb_relative_information_score: 0.6639, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4507, weighted_recall: 0.97, number_of_instances: 601, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 0.9274, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4819, unweighted_recall: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5534, kappa: -0.0139, kb_relative_information_score: 0.0091, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5724, number_of_instances: 601, precision: 0.5429, predictive_accuracy: 0.5724, prior_entropy: 0.9274, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3778, unweighted_recall: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9469, kappa: 0.8824, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9468, number_of_instances: 601, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 0.9274, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4182, unweighted_recall: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9498, kappa: 0.8879, kb_relative_information_score: 0.7369, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9501, number_of_instances: 601, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.9274, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4691, unweighted_recall: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8449, kappa: 0.6471, kb_relative_information_score: 0.3132, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8536, number_of_instances: 601, precision: 0.8644, predictive_accuracy: 0.8536, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7862, unweighted_recall: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9699, kappa: 0.9329, kb_relative_information_score: 0.6639, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4507, weighted_recall: 0.97, number_of_instances: 601, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 0.9274, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4819, unweighted_recall: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5534, kappa: -0.0139, kb_relative_information_score: 0.0091, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5724, number_of_instances: 601, precision: 0.5429, predictive_accuracy: 0.5724, prior_entropy: 0.9274, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3778, unweighted_recall: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9469, kappa: 0.8824, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9468, number_of_instances: 601, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 0.9274, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4182, unweighted_recall: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9498, kappa: 0.8879, kb_relative_information_score: 0.7369, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9501, number_of_instances: 601, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.9274, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4691, unweighted_recall: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8449, kappa: 0.6471, kb_relative_information_score: 0.3132, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8536, number_of_instances: 601, precision: 0.8644, predictive_accuracy: 0.8536, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7862, unweighted_recall: 0.798,

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