Train/Test size and bias
If you're referring to the fact that your dataset is small:

You should use k-fold cross validation. This will let you evaluate your model on all 279 instances

If you're referring to the class imbalance being 31:202 in train and 8:48 in test:

Use AUROC and PRC to eliminate bias in thresholding
Also see MCC