Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

© 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. ...