Data Science Interview Question 15
Most Favorable Data Science Interview Questions and Answers for Beginners
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
What is a Classification Report?
A Classification Report is one of the performance evaluation metrics of a classification-based machine learning model.
It displays your model's precision, recall, F1 score and support.
It provides a better understanding of the overall performance of our trained model.
To understand the classification report of a machine learning model, one should know all the metrics displayed in the report.
Below are all the metrics shown by a classification report:
Precision:
- Precision is defined as the ratio of true positives to the sum of true and false positives.
Recall:
- Recall is defined as the ratio of true positives to the sum of true positives and false negatives.
F1 Score:
- The F1 score is the weighted harmonic mean of precision and recall.
- The closer the value of the F1 Score is to 1.0, the better the expected performance of the model.
Support:
- Support is the number of actual occurrences of the class in the dataset.
- It doesn't vary between models, it just diagnoses the performance evaluation process.
