当我在我的程序中运行 mean_acc() 方法时,有 % (min_groups, self.n_splits)), Warning) 错误...
def mean_acc():
models = [
RandomForestClassifier(n_estimators=200, max_depth=3, random_state=0),
LinearSVC(),
MultinomialNB(),
LogisticRegression(random_state=0)]
CV = 6
cv_df = pd.DataFrame(index=range(CV * len(models)))
entries = []
for model in models:
model_name = model.__class__.__name__
accuracies = cross_val_score(model, features, labels, scoring='accuracy', cv=CV)
for fold_idx, accuracy in enumerate(accuracies):
entries.append((model_name, fold_idx, accuracy))
cv_df = pd.DataFrame(entries, columns=['model_name', 'fold_idx', 'accuracy'])
print(cv_df.groupby('model_name').accuracy.mean())
这些是我使用 mean_acc() 方法运行程序时显示的错误。我可以知道如何解决下面的这些错误吗?请帮我看看上面导致这些错误的代码,谢谢!!!
% (min_groups, self.n_splits)), Warning)
C:\Users\L31307\PycharmProjects\FYP\venv\lib\site-packages\sklearn\model_selection\_split.py:626: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=5.
% (min_groups, self.n_splits)), Warning)
ITMISS
有只小跳蛙
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