2009:Latin Set Hierarchical-Discounted Scoring Results

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Revision as of 09:44, 16 October 2009 by Jdownie (talk | contribs) (→‎Raw Classification Accuracy Averaged Over Three Train/Test Folds)

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

https://music-ir.org/mirex/2009/results/audiolatin/small.audiolatin_Discounted_Accuracy_Per_Class.friedman.tukeyKramerHSD.png

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

https://music-ir.org/mirex/2009/results/audiolatin/small.audiolatin_Discounted_Accuracy.friedman.tukeyKramerHSD.png

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