Classification Basics Quiz

Complete this assessment with 100% score to master this chapter.

01What is the role of the 'Softmax' function in multi-class classification?

02In medical AI, why might you prioritize 'Recall' over 'Precision'?

03What does an 'ROC-AUC' score of 0.5 represent?

04What is the core idea behind a 'Decision Tree' algorithm?

05How does 'Data Augmentation' help in image classification?

06What is a 'False Positive' in the context of a spam filter?

07In a Confusion Matrix, what does 'Precision' measure?

08What is the 'K' in K-Nearest Neighbors (KNN)?

09Why is 'Accuracy' often a bad metric for imbalanced datasets (e.g., fraud detection)?

10What is 'Logistic Regression' used for?