一、precision
所有预测值为正类的样本中，预测正确的比例
二、recall
实际值为正类的所有样本中，预测值也为正类的比例
三、F1 Score
F 1 S c o r e = 2 ∗ p r e c i s i o n ∗ r e c a l l p r e c i s i o n + r e c a l l F1 Score=2*\frac {precision*recall} {precision+recall} F1Score=2∗precision+recallprecision∗recall
四、实例
| No. | Actual | Predicted | Match |
|---|---|---|---|
| 1 | Airplane | Airplane | √ |
| 2 | Car | Boat | × |
| 3 | Car | Car | √ |
| 4 | Car | Car | √ |
| 5 | Car | Boat | × |
| 6 | Airplane | Boat | × |
| 7 | Boat | Boat | √ |
| 8 | Car | Airplane | × |
| 9 | Airplane | Airplane | √ |
| 10 | Car | Car | √ |
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