2008:Audio Tag Classification Results

Introduction

These are the results for the 2008 running of the Audio Tag Classification task. For background information about this task set please refer to the Audio Tag Classification page.

General Legend

Team ID

LB = L. Barrington, D. Turnball, G. Lanckriet
BBE 1 = T. Bertin-Mahieux, Y. Bengio, D. Eck (KNN)
BBE 2 = T. Bertin-Mahieux, Y. Bengio, D. Eck (NNet)
BBE 3 = T. Bertin-Mahieux, D. Eck, P. Lamere, Y. Bengio (Thierry/Lamere Boosting)
TB = T. Bertin-Mahieux (dumb/smurf)
ME1 = M. I. Mandel, D. P. W. Ellis 1
ME2 = M. I. Mandel, D. P. W. Ellis 2
ME3 = M. I. Mandel, D. P. W. Ellis 3
GP1 = G. Peeters 1
GP2 = G. Peeters 2
TTKV = K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas

Overall Summary Results

file /nema-raid/www/mirex/results/tag/tag.grand.summary.show.csv not found

Summary Positive Example Accuracy (Average Across All Folds)

file /nema-raid/www/mirex/results/tag/rounded/tag.binary_avg_positive_example_Accuracy.csv not found

Summary Negative Example Accuracy (Average Across All Folds)

file /nema-raid/www/mirex/results/tag/rounded/tag.binary_avg_negative_example_Accuracy.csv not found

Summary Binary relevance F-Measure (Average Across All Folds)

file /nema-raid/www/mirex/results/tag/rounded/tag.binary_avg_Fmeasure.csv not found

Summary Binary Accuracy (Average Across All Folds)

file /nema-raid/www/mirex/results/tag/rounded/tag.binary_avg_Accuracy.csv not found

Summary AUC-ROC Tag (Average Across All Folds)

file /nema-raid/www/mirex/results/tag/rounded/tag.affinity_tag_AUC_ROC.csv not found

Friedman test results

AUC-ROC Tag Friedman test

The following table and plot show the results of Friedman's ANOVA with Tukey-Kramer multiple comparisons computed over the Area Under the ROC curve (AUC-ROC) for each tag in the test, averaged over all folds.

file /nema-raid/www/mirex/results/tag/friedmansTables/tag.affinity.AUC_ROC_TAG.friedman.tukeyKramerHSD.csv not found

AUC-ROC Track Friedman test

The following table and plot show the results of Friedman's ANOVA with Tukey-Kramer multiple comparisons computed over the Area Under the ROC curve (AUC-ROC) for each track in the test. Each track appears in exactly once over all three folds of the test. However, we are uncertain if these measurements are truly independent as an multiple tracks from each artist are used.

file /nema-raid/www/mirex/results/tag/friedmansTables/tag.affinity.AUC_ROC_TRACK.friedman.tukeyKramerHSD.csv not found

Tag Classification Accuracy Friedman test

The following table and plot show the results of Friedman's ANOVA with Tukey-Kramer multiple comparisons computed over the classification accuracy for each tag in the test, averaged over all folds.

file /nema-raid/www/mirex/results/tag/friedmansTables/tag.binary_Accuracy.friedman.tukeyKramerHSD.csv not found

Tag F-measure Friedman test

The following table and plot show the results of Friedman's ANOVA with Tukey-Kramer multiple comparisons computed over the F-measure for each tag in the test, averaged over all folds.

file /nema-raid/www/mirex/results/tag/friedmansTables/tag.binary_FMeasure.friedman.tukeyKramerHSD.csv not found

Assorted Results Files for Download

AUC-ROC Clip Data

(Too large for easy Wiki viewing)
tag.affinity_clip_AUC_ROC.csv

CSV Files Without Rounding

tag.affinity.clip.auc.roc.csv
tag.binary.accuracy.csv
tag.binary.fmeasure.csv
tag.binary.negative.example.accuracy.csv
tag.binary.positive.example.accuracy.csv

Results By Algorithm

(.tar.gz)
LB = L. Barrington, D. Turnball, G. Lanckriet
BBE 1 = T. Bertin-Mahieux, Y. Bengio, D. Eck (KNN)
BBE 2 = T. Bertin-Mahieux, Y. Bengio, D. Eck (NNet)
BBE 3 = T. Bertin-Mahieux, D. Eck, P. Lamere, Y. Bengio (Thierry/Lamere Boosting)
TB = Bertin-Mahieux (dumb/smurf)
ME1 = M. I. Mandel, D. P. W. Ellis 1
ME2 = M. I. Mandel, D. P. W. Ellis 2
ME3 = M. I. Mandel, D. P. W. Ellis 3
GP1 = G. Peeters 1
GP2 = G. Peeters 2
TTKV = K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas
.