Table 6 Results with norm-binary approach with cross validation = 3
From: Customer gender prediction system on hierarchical E-commerce data
Category (Ck) | P (Ck) | R (Ck) | F1 (Ck) |
|---|---|---|---|
Female | 0.9626 | 0.98464 | 0.9734 |
Male | 0.9397 | 0.8644 | 0.9005 |
macro-avg (F1M) | 0.9512 | 0.9244 | 0.9369 |
micro-avg (F1 μ) | 0.9580 | 0.9580 | 0.9580 |