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. ...
© Karthik Ramasubramanian and Abhishek Singh 2019
Karthik Ramasubramanian and Abhishek SinghMachine Learning Using Rhttps://doi.org/10.1007/978-1-4842-4215-5_77. Machine Learning Model Evaluation
Get Machine Learning Using R: With Time Series and Industry-Based Use Cases in R now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
