© Karthik Ramasubramanian and Abhishek Singh 2019
Karthik Ramasubramanian and Abhishek SinghMachine Learning Using Rhttps://doi.org/10.1007/978-1-4842-4215-5_7

7. Machine Learning Model Evaluation

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

Model evaluation is the most important step in developing any machine learning solution. At this stage in model development we measure the model performance and decide whether to go ahead with the model or revisit all our previous steps as described in the PEBE, our machine learning process flow, in Chapter 1. In many cases, we may even discard the complete model based on the performance metrics. This phase of the PEBE plays a very critical role in the success of any ML-based project. ...

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