Table 5 Results with binary approach with cross validation = 10
From: Customer gender prediction system on hierarchical E-commerce data
Category (Ck) | P (Ck) | R (Ck) | F1 (Ck) |
|---|---|---|---|
Female | 0.9709 | 0.9760 | 0.9735 |
Male | 0.9132 | 0.8963 | 0.9046 |
macro-avg (F1M) | 0.9420 | 0.9361 | 0.9390 |
micro-avg (F1 μ) | 0.9585 | 0.9585 | 0.9585 |