我有一个小语料库,我想用10倍交叉验证来计算朴素贝叶斯分类器的准确性,怎么做呢.
python nltk scikit-learn cross-validation naivebayes
cross-validation ×1
naivebayes ×1
nltk ×1
python ×1
scikit-learn ×1