Model Evaluation Quiz

Which of the following is NOT a type of model behaviour?

• Underfitting

• Overfitting

• Perfect fit

• Retrofitting

What will be the outcome if: o the Prediction is "Yes" and it matches with the Reality? o the Prediction is "Yes" and it does not match with the Reality?

• True positive, False positive

• False positive, False negative

• True positive, False negative

• True negative, False negative

Prediction and Reality can be easily mapped together with the help of

• Prediction

• Reality

• Confusion matrix

• Accuracy

Which of the following is defined as the measure of balance between precision and recall?

• Accuracy

• F1 score

• Reliability

• Punctuality

While evaluating a model's performance, recall parameter considers

• False positive

• True positive

• False negative

• True negative

Which of the following talks about how true the predictions are by any model?

• Recall

• Training result is very good and the test result is poor.

• It interprets noise as patterns in the data.

• Both the training accuracy and test accuracy are low.

Raunak was learning the conditions that make up the confusion matrix. He came across a scenario in which the machine that was supposed to predict an animal was always predicting it as not an animal. What is this condition called?

• False positive

• True positive

• False negative

• True negative

Which two evaluation methods are used to calculate F1 Score?

• Precision and Accuracy

• Precision and Recall

• Accuracy and Recall

• Precision, F1 score

Which of the following statements is not true about overfitting models?

What is the term used to describe the situation when a model performs well on training data but poorly on unseen data?

• Overfitting

• Underfitting

• Generalization

• Validation