Difference between revisions of "2009:Latin Set Hierarchical-Discounted Scoring Results"
(New page: ==Overall Summary Results== ===Raw Classification Accuracy Averaged Over Three Train/Test Folds=== <csv p=3>audiolatin/summary_audiolatin.csv</csv> ===Accuracy Across Folds=== <csv p=3>...) |
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==Overall Summary Results== | ==Overall Summary Results== | ||
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<csv p=3>audiolatin/summary_audiolatin.csv</csv> | <csv p=3>audiolatin/summary_audiolatin.csv</csv> | ||
Revision as of 10:44, 16 October 2009
Overall Summary Results
Raw Classification and Hierarchical-Discsounted Accuracy Averaged Over Three Train/Test Folds
file /nema-raid/www/mirex/results/audiolatin/summary_audiolatin.csv not found
Accuracy Across Folds
file /nema-raid/www/mirex/results/audiolatin/audiolatin_Discounted_Accuracy.csv not found
Accuracy Across Categories
file /nema-raid/www/mirex/results/audiolatin/audiolatin_Discounted_Accuracy_Per_Class.csv not found
Friedman's Tests for Significant Differences
Classes vs. System Tukey-Kramer HSD Multi-Comparisons
The Friedman test was run in MATLAB against the average accuracy for each class. The Tukey-Kramer HSD multi-comparison data below was generated using the following MATLAB instruction. Command:
[c, m, h, gnames] = multicompare(stats, 'ctype', 'tukey-kramer', 'estimate', 'friedman', 'alpha', 0.05);
file /nema-raid/www/mirex/results/audiolatin/audiolatin_Discounted_Accuracy_Per_Class.friedman.tukeyKramerHSD.csv not found
Folds vs. Systems Tukey-Kramer HSD Multi-Comparison
The Friedman test was run in MATLAB against the accuracy for each fold. The Tukey-Kramer HSD multi-comparison data below was generated using the following MATLAB instruction. Command:
[c, m, h, gnames] = multicompare(stats, 'ctype', 'tukey-kramer', 'estimate', 'friedman', 'alpha', 0.05);
file /nema-raid/www/mirex/results/audiolatin/audiolatin_Discounted_Accuracy.friedman.tukeyKramerHSD.csv not found
