Difference between revisions of "2005:Symbolic Genre Classification Results"
From MIREX Wiki
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===9 Classes=== | ===9 Classes=== | ||
| − | {| border="1" | + | {| border="1" cellspacing="0" |
|- style="background: yellow; text-align: center;" | |- style="background: yellow; text-align: center;" | ||
! colspan="9" | 9 Classes | ! colspan="9" | 9 Classes | ||
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|1 | |1 | ||
|McKay & Fujinaga | |McKay & Fujinaga | ||
| − | |90.00% | + | |align="right " | 90.00% |
| − | |0.60 | + | |align="right " | 0.60 |
| − | |84.44% | + | |align="right " | 84.44% |
| − | |1.41 | + | |align="right " | 1.41 |
| − | |18,375 | + | |align="right " | 18,375 |
| − | |R | + | |align="right " | R |
|[https://www.music-ir.org/mirex/results/2005/sym-genre/MF_9eval.txt MF_9eval.txt] | |[https://www.music-ir.org/mirex/results/2005/sym-genre/MF_9eval.txt MF_9eval.txt] | ||
|---- | |---- | ||
|2 | |2 | ||
|Basili, Serafini, & Stellato (NB) | |Basili, Serafini, & Stellato (NB) | ||
| − | |81.56% | + | |align="right " | 81.56% |
| − | |0.76 | + | |align="right " | 0.76 |
| − | |72.00% | + | |align="right " | 72.00% |
| − | |0.88 | + | |align="right " | 0.88 |
| − | |N/A | + | |align="right " | N/A |
| − | |N/A | + | |align="right " | N/A |
|[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_NB_9eval.txt BST_NB_9eval.txt] | |[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_NB_9eval.txt BST_NB_9eval.txt] | ||
|---- | |---- | ||
|3 | |3 | ||
|Li, M. | |Li, M. | ||
| − | |80.22% | + | |align="right " | 80.22% |
| − | |1.47 | + | |align="right " | 1.47 |
| − | |72.00% | + | |align="right " | 72.00% |
| − | |2.31 | + | |align="right " | 2.31 |
| − | |3,777 | + | |align="right " | 3,777 |
| − | |G | + | |align="right " | G |
|[https://www.music-ir.org/mirex/results/2005/sym-genre/L_9eval.txt L_9eval.txt] | |[https://www.music-ir.org/mirex/results/2005/sym-genre/L_9eval.txt L_9eval.txt] | ||
|---- | |---- | ||
|4 | |4 | ||
|Basili, Serafini, & Stellato (J48) | |Basili, Serafini, & Stellato (J48) | ||
| − | |76.67% | + | |align="right " | 76.67% |
| − | |1.11 | + | |align="right " | 1.11 |
| − | |65.33% | + | |align="right " | 65.33% |
| − | |1.65 | + | |align="right " | 1.65 |
| − | |N/A | + | |align="right " | N/A |
| − | |N/A | + | |align="right " | N/A |
|[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_J48_9eval.txt BST_J48_9eval.txt] | |[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_J48_9eval.txt BST_J48_9eval.txt] | ||
|---- | |---- | ||
|5 | |5 | ||
|Ponce de Leon & Inesta | |Ponce de Leon & Inesta | ||
| − | |50.67% | + | |align="right " | 50.67% |
| − | |1.26 | + | |align="right " | 1.26 |
| − | |37.78% | + | |align="right " | 37.78% |
| − | |2.30 | + | |align="right " | 2.30 |
| − | |197 | + | |align="right " | 197 |
| − | |L | + | |align="right " | L |
|[https://www.music-ir.org/mirex/results/2005/sym-genre/PI_9eval.txt PI_9eval.txt] | |[https://www.music-ir.org/mirex/results/2005/sym-genre/PI_9eval.txt PI_9eval.txt] | ||
|---- | |---- | ||
|} | |} | ||
Latest revision as of 16:14, 2 August 2010
Introduction
Goal
To classify MIDI recordings into genre categories.
Dataset
Two sets of genre categories were used, one consisting of 38 categories and one consisting of 9 categories. Each category was represented by 25 MIDI files.Thus, the 38 genre test contained 950 MIDI files and the 9 genre test contained 225 MIDI files.Test runs were 3-fold cross validated with each algorithm tested using identical training and testing data splits.
Results
Overall
| OVERALL | |||
|---|---|---|---|
| Rank | Participant | Mean Hierarchical Classification Accuracy | Mean Raw Classification Accuracy |
| 1 | McKay & Fujinaga | 77.17% | 65.28% |
| 2 | Basili, Serafini, & Stellato (NB) | 72.08% | 58.53% |
| 3 | Li, M. | 67.57% | 55.90% |
| 4 | Basili, Serafini, & Stellato (J48) | 67.14% | 53.14% |
| 5 | Ponce de Leon & Inesta | 37.76% | 26.52% |
38 Classes
| 38 Classes | ||||||||
|---|---|---|---|---|---|---|---|---|
| Rank | Participant | Hierarchical Classification Accuracy | Hierarchical Classification Accuracy Std | Raw Classification Accuracy | Raw Classification Accuracy Std | Runtime (s) | Machine | Confusion Matrix Files |
| 1 | McKay & Fujinaga | 64.33% | 1.04 | 46.11% | 1.51 | 3 days | R | MF_38eval.txt |
| 2 | Basili, Serafini, & Stellato (NB) | 62.60% | 0.26 | 45.05% | 0.55 | N/A | N/A | BST_NB_38eval.txt |
| 3 | Basili, Serafini, & Stellato (J48) | 57.61% | 1.14 | 40.95% | 1.35 | N/A | N/A | BST_J48_38eval.txt |
| 4 | Li, M. | 54.91% | 0.66 | 39.79% | 0.87 | 15,948 | G | L_38eval.txt |
| 5 | Ponce de Leon & Inesta | 24.84% | 1.40 | 15.26% | 1.13 | 821 | L | PI_38eval.txt |
9 Classes
| 9 Classes | ||||||||
|---|---|---|---|---|---|---|---|---|
| Rank | Participant | Hierarchical Classification Accuracy | Hierarchical Classification Accuracy Std | Raw Classification Accuracy | Raw Classification Accuracy Std | Runtime (s) | Machine | Confusion Matrix Files |
| 1 | McKay & Fujinaga | 90.00% | 0.60 | 84.44% | 1.41 | 18,375 | R | MF_9eval.txt |
| 2 | Basili, Serafini, & Stellato (NB) | 81.56% | 0.76 | 72.00% | 0.88 | N/A | N/A | BST_NB_9eval.txt |
| 3 | Li, M. | 80.22% | 1.47 | 72.00% | 2.31 | 3,777 | G | L_9eval.txt |
| 4 | Basili, Serafini, & Stellato (J48) | 76.67% | 1.11 | 65.33% | 1.65 | N/A | N/A | BST_J48_9eval.txt |
| 5 | Ponce de Leon & Inesta | 50.67% | 1.26 | 37.78% | 2.30 | 197 | L | PI_9eval.txt |
