The desirability of using a hierarchical classification mechanism. This evaluation on test set is conducted by comparing the HIWL with a simpler model SLWSLM (a single layer (model) with weighted sampling and label smoothing). The SLWSLM is designed by removing the hierarchical learning mechanism from HIWL.
. | HIWL . | SLWSLM . | ||
---|---|---|---|---|
. | Recall . | Overall acc . | Recall . | Overall acc . |
CRS | 0.9633 | 96.32 per cent | 0.9763 | 95.90 per cent |
IBS | 0.9628 | 0.9579 | ||
CSS | 0.7069 | 0.6207 | ||
EO | 0.9616 | 0.9335 | ||
SPI | 0.9834 | 0.9795 |
. | HIWL . | SLWSLM . | ||
---|---|---|---|---|
. | Recall . | Overall acc . | Recall . | Overall acc . |
CRS | 0.9633 | 96.32 per cent | 0.9763 | 95.90 per cent |
IBS | 0.9628 | 0.9579 | ||
CSS | 0.7069 | 0.6207 | ||
EO | 0.9616 | 0.9335 | ||
SPI | 0.9834 | 0.9795 |
The desirability of using a hierarchical classification mechanism. This evaluation on test set is conducted by comparing the HIWL with a simpler model SLWSLM (a single layer (model) with weighted sampling and label smoothing). The SLWSLM is designed by removing the hierarchical learning mechanism from HIWL.
. | HIWL . | SLWSLM . | ||
---|---|---|---|---|
. | Recall . | Overall acc . | Recall . | Overall acc . |
CRS | 0.9633 | 96.32 per cent | 0.9763 | 95.90 per cent |
IBS | 0.9628 | 0.9579 | ||
CSS | 0.7069 | 0.6207 | ||
EO | 0.9616 | 0.9335 | ||
SPI | 0.9834 | 0.9795 |
. | HIWL . | SLWSLM . | ||
---|---|---|---|---|
. | Recall . | Overall acc . | Recall . | Overall acc . |
CRS | 0.9633 | 96.32 per cent | 0.9763 | 95.90 per cent |
IBS | 0.9628 | 0.9579 | ||
CSS | 0.7069 | 0.6207 | ||
EO | 0.9616 | 0.9335 | ||
SPI | 0.9834 | 0.9795 |
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