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

From MIREX Wiki
(Overall)
(38 Classes)
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===38 Classes===
 
===38 Classes===
{| border="1"
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{| border="1" cellspacing="0"
 
|- style="background: yellow; text-align: center;"
 
|- style="background: yellow; text-align: center;"
 
! colspan="9" | 38 Classes  
 
! colspan="9" | 38 Classes  
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|1
 
|1
 
|McKay & Fujinaga
 
|McKay & Fujinaga
|64.33%  
+
|align="right " | 64.33%  
|1.04
+
|align="right " | 1.04
|46.11%
+
|align="right " | 46.11%
|1.51
+
|align="right " | 1.51
|3 days
+
|align="right " | 3 days
|R
+
|align="right " | R
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/MF_38eval.txt MF_38eval.txt]
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/MF_38eval.txt MF_38eval.txt]
 
|----
 
|----
 
|2
 
|2
 
|Basili, Serafini, & Stellato (NB)
 
|Basili, Serafini, & Stellato (NB)
|62.60%
+
|align="right " | 62.60%
|0.26
+
|align="right " | 0.26
|45.05%
+
|align="right " | 45.05%
|0.55
+
|align="right " | 0.55
|N/A
+
|align="right " | N/A
|N/A
+
|align="right " | N/A
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_NB_38eval.txt BST_NB_38eval.txt]
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_NB_38eval.txt BST_NB_38eval.txt]
 
|----
 
|----
 
|3
 
|3
 
|Basili, Serafini, & Stellato (J48)
 
|Basili, Serafini, & Stellato (J48)
|57.61%
+
|align="right " | 57.61%
|1.14
+
|align="right " | 1.14
|40.95%
+
|align="right " | 40.95%
|1.35
+
|align="right " | 1.35
|N/A
+
|align="right " | N/A
|N/A
+
|align="right " | N/A
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_J48_38eval.txt BST_J48_38eval.txt]
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/BST_J48_38eval.txt BST_J48_38eval.txt]
 
|----
 
|----
 
|4
 
|4
 
|Li, M.
 
|Li, M.
|54.91%
+
|align="right " | 54.91%
|0.66
+
|align="right " | 0.66
|39.79%
+
|align="right " | 39.79%
|0.87
+
|align="right " | 0.87
|15,948
+
|align="right " | 15,948
|G
+
|align="right " | G
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/L_38eval.txt L_38eval.txt]
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/L_38eval.txt L_38eval.txt]
 
|----
 
|----
 
|5
 
|5
 
|Ponce de Leon & Inesta
 
|Ponce de Leon & Inesta
|24.84%
+
|align="right " | 24.84%
|1.40
+
|align="right " | 1.40
|15.26%
+
|align="right " | 15.26%
|1.13
+
|align="right " | 1.13
|821
+
|align="right " | 821
|L
+
|align="right " | L
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/PI_38eval.txt PI_38eval.txt]
 
|[https://www.music-ir.org/mirex/results/2005/sym-genre/PI_38eval.txt PI_38eval.txt]
 
|----
 
|----

Revision as of 17:12, 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