Question

Match the below items with the associated term (letter):

1. Cross-validation
2. ROC Curve
3. Overfitting Avoidance
4. Domain-knowledge validation

A) Ranking
B) Complexity Control
C) Comprehensibility
D) Generalization Performance

Answer 1

The question asks to match machine learning concepts with their associated terms. Cross-validation corresponds to 'Generalization Performance', ROC Curve to 'Ranking', Overfitting Avoidance to 'Complexity Control', and Domain-knowledge validation to 'Comprehensibility'.

Step-by-step explanation:

The provided question appears to be about matching certain concepts with their associated terms in the field of machine learning or statistical modeling. Here are the matches:

• 1. Cross-validation - D) Generalization Performance
• 2. ROC Curve - A) Ranking
• 3. Overfitting Avoidance - B) Complexity Control
• 4. Domain-knowledge validation - C) Comprehensibility

Cross-validation is a technique used to assess the generalization performance of a model on unseen data. The ROC Curve is a graphical representation that helps in ranking classifiers based on their performance.

Overfitting avoidance is achieved through complexity control mechanisms, to ensure the model can generalize well. Domain-knowledge validation emphasizes that the model is comprehensible and makes sense within the specific domain's context.