Review Weeks 1-3

What is the purpose of splitting the dataset into training and testing sets? (Choose 2)

• To test how well the model generalizes

• To evaluate the model on unseen data

• To improve training speed

• To split the features from the target

Which of the following is used to split a dataset into training and testing sets in scikit-learn?

• train_test_split()

• split_train_test()

• train_test()

• split()

What parameter in train_test_split() controls the ratio of the test set size?

• test_size

• test_ratio

• split_ratio

• test_split

What type of data does the predict() method return in most ML models?

• Raw data

• Predictions for target variables

• Evaluation metrics

• Training errors

In classification tasks, what does predict_proba() return?

• Class labels

• Class probabilities

• Predictions with errors

• Confusion matrix

What does the fit() method do in a machine learning model?

• Evaluates the model on the test data

• Prepares the data for testing

• Trains the model using training data

• Makes predictions

What is the purpose of feature scaling in machine learning?

• To normalize target variables

• To improve model interpretability

• To ensure features are on the same scale

• To remove outliers

Which scikit-learn class is used for normalizing features?

• MinMaxScaler

• FeatureScaler

• Normalizer

• StandardScaler

What is cross_val_score() used for in scikit-learn?

• To split data into training and testing sets

• To evaluate model performance using cross-validation

• To make predictions on the test set

• To combine features

What is the red box in the top left?

• True Positives

• True Negatives

• False Positives

• False Negatives