Research Article

Multilabel Classification Using Low-Rank Decomposition

Table 2

Performance of each multilabel algorithm (mean ± std. deviation) on the regular-scale datasets.

Comparing algorithmscal500EmotionsMedicalLlogImageSceneYeast

One-error ↓
LLRD0.136 ± 0.0410.248±0.0480.125±0.0310.657±0.0380.244±0.0180.116±0.0190.217±0.013
MLFE0.168 ± 0.0490.259 ± 0.0500.131 ± 0.0300.672 ± 0.0410.257 ± 0.0310.127 ± 0.0220.233 ± 0.026
LIFT0.125 ± 0.0490.251 ± 0.0270.156 ± 0.0410.664 ± 0.0340.276 ± 0.0260.132 ± 0.0120.226 ± 0.021
RELIAB0.116±0.0300.255 ± 0.0410.163 ± 0.0280.754 ± 0.0350.342 ± 0.0320.258 ± 0.0110.255 ± 0.016
ML20.201 ± 0.0900.261 ± 0.0450.135 ± 0.0320.674 ± 0.0510.260 ± 0.0270.144 ± 0.0190.246 ± 0.034
CLR0.243 ± 0.0580.310 ± 0.0190.362 ± 0.0090.841 ± 0.0360.449 ± 0.0130.331 ± 0.0310.234 ± 0.022
RAKEL0.622 ± 0.0650.289 ± 0.0320.237 ± 0.0320.871 ± 0.0280.397 ± 0.0190.314 ± 0.0300.291 ± 0.031

Coverage ↓
LLRD0.774 ± 0.0210.282 ± 0.0340.029±0.0090.194 ± 0.0250.157±0.0100.008±0.0090.447±0.010
MLFE0.769 ± 0.0240.283 ± 0.0300.033 ± 0.0100.200 ± 0.0270.162 ± 0.0180.012 ± 0.0080.449 ± 0.011
LIFT0.753 ± 0.0150.271±0.0230.040 ± 0.0140.164 ± 0.0070.172 ± 0.0130.026 ± 0.0070.454 ± 0.017
RELIAB0.746±0.0190.306 ± 0.0200.044 ± 0.0130.155±0.0130.185 ± 0.0070.114 ± 0.0040.457 ± 0.015
ML20.814 ± 0.0330.292 ± 0.0440.035 ± 0.0130.201 ± 0.0260.164 ± 0.0090.010 ± 0.0070.461 ± 0.016
CLR0.789 ± 0.0100.330 ± 0.0110.073 ± 0.0410.182 ± 0.0500.233 ± 0.0170.122 ± 0.0110.484 ± 0.020
RAKEL0.958 ± 0.0110.335 ± 0.0310.077 ± 0.0140.332 ± 0.0210.249 ± 0.0060.161 ± 0.0070.553 ± 0.016

Ranking loss ↓
LLRD0.185 ± 0.0110.144±0.0280.018 ± 0.0070.185 ± 0.0220.129±0.0100.042±0.0080.163±0.008
MLFE0.188 ± 0.0100.146 ± 0.0300.014 ± 0.0070.191 ± 0.0250.134 ± 0.0170.046 ± 0.0100.167 ± 0.011
LIFT0.178±0.0080.144±0.0260.029 ± 0.0090.148 ± 0.0140.148 ± 0.0120.054 ± 0.0150.164 ± 0.013
RELIAB0.182 ± 0.0070.165 ± 0.0210.026 ± 0.0080.134±0.0110.176 ± 0.0080.076 ± 0.0070.185 ± 0.021
ML20.205 ± 0.0210.153 ± 0.0330.011±0.0090.194 ± 0.0270.136 ± 0.0120.050 ± 0.0070.175 ± 0.015
CLR0.231 ± 0.0200.181 ± 0.0200.072 ± 0.0510.137 ± 0.0280.241 ± 0.0150.098 ± 0.0210.196 ± 0.009
RAKEL0.359 ± 0.0120.213 ± 0.0190.066 ± 0.0190.281 ± 0.0340.244 ± 0.0160.155 ± 0.0230.243 ± 0.010

Average precision ↑
LLRD0.506±0.0180.819 ± 0.0310.905±0.0200.421±0.0330.841±0.0090.934±0.0100.775±0.008
MLFE0.490 ± 0.0170.812 ± 0.0320.901 ± 0.0210.410 ± 0.0290.835 ± 0.0190.928 ± 0.0130.766 ± 0.016
LIFT0.502 ± 0.0210.824±0.0240.880 ± 0.0300.416 ± 0.0310.820 ± 0.0180.922 ± 0.0080.768 ± 0.018
RELIAB0.497 ± 0.0160.801 ± 0.0210.869 ± 0.0200.405 ± 0.0410.781 ± 0.0090.851 ± 0.0080.751 ± 0.010
ML20.481 ± 0.0300.816 ± 0.0310.898 ± 0.0220.404 ± 0.0310.832 ± 0.0140.930 ± 0.0090.759 ± 0.020
CLR0.425 ± 0.0340.770 ± 0.0190.695 ± 0.0320.312 ± 0.0590.722 ± 0.0150.801 ± 0.0120.755 ± 0.006
RAKEL0.343 ± 0.0090.772 ± 0.0370.798 ± 0.0180.228 ± 0.0200.731 ± 0.0170.777 ± 0.0230.717 ± 0.007

Macroaveraging F1 ↑
LLRD0.231 ± 0.0260.676±0.0510.736±0.0500.408 ± 0.0280.666±0.0240.800±0.0160.420 ± 0.030
MLFE0.239 ± 0.0250.668 ± 0.0500.702 ± 0.0560.415±0.0410.655 ± 0.0210.787 ± 0.0150.430 ± 0.024
LIFT0.179 ± 0.0140.651 ± 0.0350.694 ± 0.0520.392 ± 0.0450.624 ± 0.0330.788 ± 0.0180.377 ± 0.019
RELIAB0.288±0.0150.639 ± 0.0380.686 ± 0.0580.394 ± 0.0310.568 ± 0.0300.671 ± 0.0210.409 ± 0.023
ML20.226 ± 0.0240.656 ± 0.0450.686 ± 0.0580.382 ± 0.0350.652 ± 0.0180.783 ± 0.0150.438 ± 0.017
CLR0.220 ± 0.0170.604 ± 0.0320.616 ± 0.1180.402 ± 0.0560.523 ± 0.0270.635 ± 0.0130.386 ± 0.016
RAKEL0.195 ± 0.0100.615 ± 0.0300.679 ± 0.0370.377 ± 0.0540.545 ± 0.0180.654 ± 0.0120.441±0.011

Microaveraging F1 ↑
LLRD0.325 ± 0.0110.692±0.0480.814±0.0300.126 ± 0.0270.665±0.0240.792±0.0170.656±0.011
MLFE0.384 ± 0.0170.683 ± 0.0470.785 ± 0.0310.137 ± 0.0320.653 ± 0.0240.781 ± 0.0150.643 ± 0.013
LIFT0.313 ± 0.0130.664 ± 0.0150.763 ± 0.0310.168 ± 0.0340.625 ± 0.0310.779 ± 0.0220.650 ± 0.016
RELIAB0.454±0.0110.647 ± 0.0380.748 ± 0.0240.188±0.0280.562 ± 0.0210.639 ± 0.0130.631 ± 0.015
ML20.366 ± 0.0130.674 ± 0.0420.780 ± 0.0210.074 ± 0.0310.650 ± 0.0190.776 ± 0.0180.635 ± 0.018
CLR0.330 ± 0.0120.626 ± 0.0290.606 ± 0.1430.165 ± 0.0500.531 ± 0.0080.634 ± 0.0170.623 ± 0.010
RAKEL0.356 ± 0.0250.648 ± 0.0240.669 ± 0.0160.155 ± 0.0190.533 ± 0.0050.645 ± 0.0090.637 ± 0.011