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Table 3 Music tagging performance on the CAL500 dataset by applying fivefold cross-validation

From: Music classification by low-rank semantic mappings

Method Features Precision Recall F 1 score
LRSMs Fusion cmc 0.504 0.202 0.289
  Fusion cm 0.504 0.202 0.289
  Cortical 0.500 0.203 0.288
  MFCCs 0.379 0.167 0.232
  Chroma 0.277 0.130 0.174
MLSRC Fusion cmc 0.458 0.184 0.263
  Fusion cm 0.466 0.186 0.266
  Cortical 0.476 0.186 0.267
  MFCCs 0.384 0.162 0.228
  Chroma 0.355 0.151 0.212
Rank-SVMs Fusion cmc 0.469 0.209 0.289
  Fusion cm 0.477 0.209 0.291
  Cortical 0.472 0.208 0.288
  MFCCs 0.313 0.140 0.194
  Chroma 0.287 0.128 0.177
MLkNN Fusion cmc 0.404 0.173 0.243
  Fusion cm 0.398 0.173 0.241
  Cortical 0.404 0.173 0.242
  MFCCs 0.338 0.156 0.213
  Chroma 0.305 0.138 0.190
PARAFAC2 Fusion cmc 0.483 0.196 0.279
  Fusion cm 0.480 0.197 0.279
  Cortical 0.472 0.208 0.288
  MFCCs 0.304 0.136 0.188
  Chroma 0.289 0.130 0.179
[63]   0.480 0.260 0.340
[26]   0.490 0.230 0.260
[9] as evaluated in [26]   0.410 0.240 0.250
[12] as evaluated in [26]   0.380 0.240 0.250
[64] as evaluated in [26]   0.370 0.170 0.200
  1. The best results are indicated in italics.