© Karthik Ramasubramanian and Abhishek Singh 2019
Karthik Ramasubramanian and Abhishek SinghMachine Learning Using Rhttps://doi.org/10.1007/978-1-4842-4215-5_8

8. Model Performance Improvement

Karthik Ramasubramanian1  and Abhishek Singh1
(1)
New Delhi, Delhi, India
 

Model performance is a broad term generally used to measure how the model performs on a new dataset, usually a test dataset. The performance metrics also play the role of thresholds to decide whether the model can be put into actual decision making systems or needs improvements. In the previous chapter, we discussed some performance metrics for our continuous and discrete cases. In this chapter, we discuss how changing the modeling process can help us improve model performance on the metrics. ...

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