我运行 SVM-Light 分类器,但它输出的召回/精度行似乎已损坏:
Reading model...OK. (20 support vectors read)
Classifying test examples..100..200..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 95.50% (191 correct, 9 incorrect, 200 total)
Precision/recall on test set: 0.00%/0.00%
我应该配置什么以获得有效的精度和召回率?