这种方法也被叫做 k k k 折交叉验证法(k-fold cross validation)。最终的结果是这 k 次验证的均值。 此外,还有一种交叉验证方法就是 留一法(Leave-One-Out,简称LOO),顾名思义,就是使 k k k 等于数据集中数据的个数,每次只使用一个作为测试集,剩下的全部作为训练集,这种方法得出的结果与训练整个测试集...
Leave-one-out Cross-validation (LOOCV) is one of the most accurate ways to estimate how well a model will perform on out-of-sample data. Unfortunately, it can beexpensive, requiring a separate model to be fit for each point in the training data set. For the specialized cases of ridge...
_method(estimator, *args, **kwargs) ^^^ File "/python3.11/site-packages/sklearn/calibration.py", line 419, in fit raise ValueError( ValueError: Requesting 20-fold cross-validation but provided less than 20 examples for at least one class. Versions System: python: 3.11.9 | packaged by ...
ps = PredefinedSplit([1,1,2,2])# n_splits = np of unique folds = 2loo_repr ="LeaveOneOut()"lpo_repr ="LeavePOut(p=2)"kf_repr ="KFold(n_splits=2, random_state=None, shuffle=False)"skf_repr ="StratifiedKFold(n_splits=2, random_state=None, shuffle=False)"lolo_repr ="Leav...