Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13719 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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13719 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3087, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3088, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.2167, kappa: 0.1951, kb_relative_information_score: 0.2014, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3104, predictive_accuracy: 0.2031, prior_entropy: 6.6439, recall: 0.2031, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1262, root_relative_squared_error: 1.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.836, kappa: 0.8333, kb_relative_information_score: 0.8346, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3088, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8373, kappa: 0.834, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8437, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3087, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7675, kappa: 0.7664, kb_relative_information_score: 0.7682, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7799, predictive_accuracy: 0.7688, prior_entropy: 6.6439, recall: 0.7688, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.068, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.4982, kappa: 0.4899, kb_relative_information_score: 0.4939, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5287, predictive_accuracy: 0.495, prior_entropy: 6.6439, recall: 0.495, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1005, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.4982, kappa: 0.4899, kb_relative_information_score: 0.4939, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5287, predictive_accuracy: 0.495, prior_entropy: 6.6439, recall: 0.495, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1005, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.4982, kappa: 0.4899, kb_relative_information_score: 0.4939, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5287, predictive_accuracy: 0.495, prior_entropy: 6.6439, recall: 0.495, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1005, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.2784, kappa: 0.2595, kb_relative_information_score: 0.2653, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3502, predictive_accuracy: 0.2669, prior_entropy: 6.6439, recall: 0.2669, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1211, root_relative_squared_error: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.2163, kappa: 0.1951, kb_relative_information_score: 0.2014, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3083, predictive_accuracy: 0.2031, prior_entropy: 6.6439, recall: 0.2031, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1262, root_relative_squared_error: 1.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8293, kappa: 0.8258, kb_relative_information_score: 0.8271, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8374, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3085, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.5754, kappa: 0.5707, kb_relative_information_score: 0.5741, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5959, predictive_accuracy: 0.575, prior_entropy: 6.6439, recall: 0.575, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.2149, kappa: 0.1932, kb_relative_information_score: 0.1995, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3081, predictive_accuracy: 0.2013, prior_entropy: 6.6439, recall: 0.2013, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1264, root_relative_squared_error: 1.2703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.5754, kappa: 0.5707, kb_relative_information_score: 0.5741, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5959, predictive_accuracy: 0.575, prior_entropy: 6.6439, recall: 0.575, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.737, kappa: 0.7367, kb_relative_information_score: 0.7388, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7498, predictive_accuracy: 0.7394, prior_entropy: 6.6439, recall: 0.7394, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3088, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8357, kappa: 0.8327, kb_relative_information_score: 0.834, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.2822, kappa: 0.2633, kb_relative_information_score: 0.269, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3537, predictive_accuracy: 0.2706, prior_entropy: 6.6439, recall: 0.2706, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1208, root_relative_squared_error: 1.2139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6315, kappa: 0.6294, kb_relative_information_score: 0.6323, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6475, predictive_accuracy: 0.6331, prior_entropy: 6.6439, recall: 0.6331, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.2822, kappa: 0.2633, kb_relative_information_score: 0.269, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3537, predictive_accuracy: 0.2706, prior_entropy: 6.6439, recall: 0.2706, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1208, root_relative_squared_error: 1.2139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3085, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.2784, kappa: 0.2595, kb_relative_information_score: 0.2653, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3502, predictive_accuracy: 0.2669, prior_entropy: 6.6439, recall: 0.2669, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1211, root_relative_squared_error: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.5754, kappa: 0.5707, kb_relative_information_score: 0.5741, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5959, predictive_accuracy: 0.575, prior_entropy: 6.6439, recall: 0.575, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3088, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.2189, kappa: 0.197, kb_relative_information_score: 0.2033, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.309, predictive_accuracy: 0.205, prior_entropy: 6.6439, recall: 0.205, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1261, root_relative_squared_error: 1.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2155, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3089, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.2154, kappa: 0.1938, kb_relative_information_score: 0.2001, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3086, predictive_accuracy: 0.2019, prior_entropy: 6.6439, recall: 0.2019, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2698,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -0.0022, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 0.5945, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 4.9944, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kb_relative_information_score: 60.4153, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0997, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kappa: 0.0044, kb_relative_information_score: 122.1488, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1008, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, kb_relative_information_score: 2.0495, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 0.9315, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kappa: 0.0013, kb_relative_information_score: 12.697, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, kb_relative_information_score: 9.7944, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,

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