प्रिसीजन और रिकॉल की गणना

# Import train_test_split
from sklearn.model_selection import train_test_split

# Create feature variable
X = telco.drop('Churn', axis=1)

# Create target variable
y = telco['Churn']

# Create training and testing sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1)

# Import RandomForestClassifier
from sklearn.ensemble import RandomForestClassifier

# Instantiate the classifier
clf = RandomForestClassifier()

# Fit to the training data
clf.fit(X_train, y_train)

# Predict the labels of the test set
y_pred = clf.predict(X_test)

# Import precision_score