Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
(target labels). It splits the data into training and testing sets using the train_test_split() function from scikit-learn. A random forest classifier is created with 100 estimators. The model is trained on the training data using the fit() method. Predictions are made on the test set using the