ValueError: Процентные значения должны находиться в диапазоне [0, 100], эту ошибку я показывал, когда у меня запущен локализатор

Question

#filter the columns data that we do not want

columns= [c for c in columns if c not in['Job']]
target= 'Job'

X= German_data[columns]
Y= German_data[target]

#Print the shape of x and y

print(X.shape)
print(y.shape)

ВЫХОД :::

(1000, 5)
(1000,)

from sklearn.metrics import classification_report, accuracy_score
from sklearn.ensemble import IsolationForest
from sklearn.neighbors import LocalOutlierFactor

#Define a random state

state=1

#define the outlier detection model

classifiers= {  
    'Isolation Forest': IsolationForest (max_samples=len(X),
                                        contamination= outliers_fraction,
                                        random_state=state),
    'Local Outlier Factor': LocalOutlierFactor(n_neighbors=20,
                                              contamination= outliers_fraction)
   }
#fit the model
n_outliers=len(C_pass)
for i,(clf_name,clf) in enumerate(classifiers.items()):
     #fit the data and tag outliers
        if clf_name=='Local Outlier Factor':
            y_pred = clf.fit_predict(X)
            scores_pred=clf.negative_Outlier_Factor_
        else:
            clf.fit(X)
            scores_pred=clf.descision_function(X)
            y_pred=clf.predict(X)
        # reshape the prediction value for 0 to pass and 1 to loss
        y_pred[y_pred==1]
        y_pred[y_pred==0]
        n_errors=[y_pred != Y].sum()
        #Run classification metrix
        print('{}: {}'.format(clf_name,n_errors))
        print(accuracy_score(Y, y_pred))
        print(classifiaction_report(Y,y_pred))

ОШИБКА ::

       12)  clf.fit(X)
           raise ValueError("Percentiles must be in the range [0, 100]")
                return _quantile_unchecked(
                      a, q, axis, out, overwrite_input, interpolation, keepdims)
      Percentiles must be in the range [0, 100]