OpenML
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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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: 0.5982, f_measure: 0.2189, kappa: 0.1963, kb_relative_information_score: 0.2026, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3143, predictive_accuracy: 0.2044, prior_entropy: 6.6439, recall: 0.2044, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1261, root_relative_squared_error: 1.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8101, kappa: 0.8074, kb_relative_information_score: 0.809, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8199, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.6206,
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: 0.2153, 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: 0.307, 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: 0.2153, 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: 0.307, 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: 0.9145, f_measure: 0.8323, kappa: 0.8289, kb_relative_information_score: 0.8303, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8401, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.585,
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: 0.3086, 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: 0.3087, 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: 0.2154, 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: 0.3087, 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: 0.2156, 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,
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: 0.6215, f_measure: 0.2633, kappa: 0.2431, kb_relative_information_score: 0.249, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3414, predictive_accuracy: 0.2506, prior_entropy: 6.6439, recall: 0.2506, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1224, root_relative_squared_error: 1.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.5169, kappa: 0.5088, kb_relative_information_score: 0.5127, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5459, predictive_accuracy: 0.5138, prior_entropy: 6.6439, recall: 0.5138, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9911,
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: 0.2156, 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,
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: 0.2156, 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,
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: 0.7544, f_measure: 0.5169, kappa: 0.5088, kb_relative_information_score: 0.5127, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5459, predictive_accuracy: 0.5138, prior_entropy: 6.6439, recall: 0.5138, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8101, kappa: 0.8074, kb_relative_information_score: 0.809, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8199, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.5169, kappa: 0.5088, kb_relative_information_score: 0.5127, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5459, predictive_accuracy: 0.5138, prior_entropy: 6.6439, recall: 0.5138, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7508, kappa: 0.75, kb_relative_information_score: 0.752, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.765, predictive_accuracy: 0.7525, prior_entropy: 6.6439, recall: 0.7525, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.22, kappa: 0.1982, kb_relative_information_score: 0.2045, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3105, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
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: 0.773, f_measure: 0.551, kappa: 0.5461, kb_relative_information_score: 0.5496, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5732, predictive_accuracy: 0.5506, prior_entropy: 6.6439, recall: 0.5506, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.9528,
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: 0.3086, 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: 0.8456, f_measure: 0.6925, kappa: 0.6913, kb_relative_information_score: 0.6937, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7082, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.6925, kappa: 0.6913, kb_relative_information_score: 0.6937, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7082, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7858,
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: 0.4949, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.6925, kappa: 0.6913, kb_relative_information_score: 0.6937, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7082, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7858,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.2739, kappa: 0.2551, kb_relative_information_score: 0.2609, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3492, predictive_accuracy: 0.2625, prior_entropy: 6.6439, recall: 0.2625, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1214, root_relative_squared_error: 1.2206,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.2227, kappa: 0.2008, kb_relative_information_score: 0.207, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.311, predictive_accuracy: 0.2088, prior_entropy: 6.6439, recall: 0.2088, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1258, root_relative_squared_error: 1.2643,
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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: 0.3088, 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: 0.9141, f_measure: 0.8316, kappa: 0.8283, kb_relative_information_score: 0.8296, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8398, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.2239, kappa: 0.202, kb_relative_information_score: 0.2083, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3128, predictive_accuracy: 0.21, prior_entropy: 6.6439, recall: 0.21, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1257, root_relative_squared_error: 1.2633,
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: 0.5966, f_measure: 0.2148, 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: 0.5975, f_measure: 0.2173, 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: 0.314, 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: 0.5966, f_measure: 0.2148, 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: 0.9037, f_measure: 0.8101, kappa: 0.8074, kb_relative_information_score: 0.809, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8195, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.6206,
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,

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