Difference between revisions of "2005:Symbolic Genre Classification Results"

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(38 Classes)
(9 Classes)
 
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===9 Classes===
 
===9 Classes===
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{| 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 17:14, 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