OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13041 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: 0.5997, f_measure: 0.2208, kappa: 0.1995, kb_relative_information_score: 0.2058, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3105, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
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: 0.5969, 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: 0.3087, 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: 0.5997, f_measure: 0.2208, kappa: 0.1995, kb_relative_information_score: 0.2058, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3105, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
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: 0.3098, 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: 0.5997, f_measure: 0.2208, kappa: 0.1995, kb_relative_information_score: 0.2058, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3105, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8226, kappa: 0.8188, kb_relative_information_score: 0.8202, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8308, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.602,
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: 0.5975, f_measure: 0.2166, 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: 0.3091, 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: 0.5969, 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: 0.3086, 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: 0.8583, f_measure: 0.7166, kappa: 0.7165, kb_relative_information_score: 0.7188, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7312, predictive_accuracy: 0.7194, prior_entropy: 6.6439, recall: 0.7194, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7529,
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: 0.6436, f_measure: 0.3075, kappa: 0.2872, kb_relative_information_score: 0.2928, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3705, predictive_accuracy: 0.2944, prior_entropy: 6.6439, recall: 0.2944, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1188, root_relative_squared_error: 1.1939,
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: 0.3075, 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: 0.5979, f_measure: 0.2172, kappa: 0.1957, kb_relative_information_score: 0.202, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3105, predictive_accuracy: 0.2038, prior_entropy: 6.6439, recall: 0.2038, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1262, root_relative_squared_error: 1.2683,
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: 0.2153, 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: 0.3087, 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: 0.5966, f_measure: 0.2153, 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: 0.3084, 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: 0.9148, f_measure: 0.8325, kappa: 0.8295, kb_relative_information_score: 0.8309, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8399, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.2328, kappa: 0.2109, kb_relative_information_score: 0.217, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3165, predictive_accuracy: 0.2188, prior_entropy: 6.6439, recall: 0.2188, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.125, root_relative_squared_error: 1.2563,
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: 0.31, 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: 0.9081, f_measure: 0.8187, kappa: 0.8163, kb_relative_information_score: 0.8177, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8265, predictive_accuracy: 0.8181, prior_entropy: 6.6439, recall: 0.8181, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.2394, kappa: 0.2184, kb_relative_information_score: 0.2246, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3191, predictive_accuracy: 0.2263, prior_entropy: 6.6439, recall: 0.2263, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1244, root_relative_squared_error: 1.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.257, kappa: 0.2361, kb_relative_information_score: 0.2421, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3325, predictive_accuracy: 0.2438, prior_entropy: 6.6439, recall: 0.2438, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.123, root_relative_squared_error: 1.236,
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: 0.773, 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: 0.773, 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: 0.773, 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: 0.773, 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: 0.773, 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: 0.6215, 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: 0.5969, 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: 0.6004, 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,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.2284, kappa: 0.2064, kb_relative_information_score: 0.2127, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3126, predictive_accuracy: 0.2144, prior_entropy: 6.6439, recall: 0.2144, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1253, root_relative_squared_error: 1.2598,
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: 0.2154, 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: 0.3083, 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: 0.5969, 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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs