PayPal Interview Question | Classification Model
Question
You are given a data set based on the cancer detection results. You’ve built a classification model and achieved an accuracy of 95%.
Are you satisfied with the performance? If not, suggest a way to improve it.
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Machine Learning
4 years
1 Answer
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Great Grand Master 0
Answer ( 1 )
In use cases like cancer detection, fraud detection, accuracy cannot be a good performance metrics to evaluate a model’s performance. Even though we have achieved 95% accuracy, it may happen that the data can be imbalanced.
Hence, precision, recall and F1 score can be used as performance metrics in such cases.