Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
model. 2. Predict: Use the trained model to predict the labels of the test data. 3. Evaluate: Assess the model’s performance on the test data using Accuracy, Precision, Recall, and F1 Score. Let’s see the code. from sklearn.ensemble import RandomForestClassifier breast_cancer = load_breast_cancer()