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WorksheetsClassification Models
Total questions: 10
Worksheet time: 5mins
Which of the following is example of Classification Model?
Stock Price Prediction
Spam Filter
Movie Recommendation
Disease Prediction
A table used to A table use to measure how well a classification model is performing
The number of instances that were correctly predicted as negative
The rate at which a model correctly predicts positive instances
Proportion of true positives detected out of all the actual positive instances.
An ____________ is computed as the harmonic mean of precision and recall.
What is the formula to calculate Recall?
True Positives / (True Positives + False Negatives)
True Positives / (True Positives + False Positives)
(True Positives + False Positives) / Total Instances
True Negatives / (True Negatives + False Positives)
In a binary classification problem, if a model has a Recall of 0.85, what does this indicate?
The model has a high rate of false positives
The model correctly identifies 85% of actual negatives
The model is perfectly accurate
The model correctly identifies 85% of actual positives
What is the primary difference between accuracy and precision in a classification model?
Accuracy is calculated using true negatives, while precision is calculated using true positives.
Accuracy measures overall correctness, while precision measures the correctness of positive predictions.
Accuracy is more important than precision in all cases.
Precision is always higher than accuracy.
In the context of error calculation, what does a Type I error represent?
Correctly accepting a false null hypothesis
Correctly rejecting a true null hypothesis
Incorrectly accepting a false null hypothesis
Incorrectly rejecting a true null hypothesis
