- Published on April 21, 2020
- In Deep Tech
Cumulative Accuracy Profile (CAP) Curve Analysis to Evaluate Classification Models in Social Network Ads Prediction
In this article, the CAP curve analysis method has been discussed where it is used to evaluate and compare the performances of four different classifiers in their classification task.
- By Dr. Vaibhav Kumar
There are various methods used to evaluate the performance of a classification model. The Cumulative Accuracy Profile (CAP) curve analysis is one of those methods of evaluation. In this article, the CAP curve analysis method has been discussed where it is used to evaluate and compare the performances of four different classifiers in their classification task. These models are used in the classification where it has been predicted that whether a user will buy a product or not given a social network advertisement of that product. Through the CAP curve analysis, we will be able to identify the best model among four in this classification or prediction.
Cumulative Accuracy Profile
The Cumulative Accuracy Profile (CAP) is used as a tool in machine learning through which the discriminative powe
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Dr. Vaibhav Kumar
Dr. Vaibhav Kumar is a seasoned data science professional with great exposure to machine learning and deep learning. He has good exposure to research, where he has published several research papers in reputed international journals and presented papers at reputed international conferences. He has worked across industry and academia and has led many research and development projects in AI and machine learning. Along with his current role, he has also been associated with many reputed research labs and universities where he contributes as visiting researcher and professor.
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