You're reading from Data Science Projects with Python - Second Edition

Product typeBook

Published inJul 2021

Reading LevelIntermediate

PublisherPackt

ISBN-139781800564480

Edition2nd Edition

Languages

Python

Concepts

Data Science

Author (1)

Stephen Klosterman

Review of Modeling Results

In order to develop a binary classification model to meet the business requirements of our client, we have now tried several modeling techniques with varying degrees of success. In the end, we'd like to choose the model with the best performance to do further analyses on and present to our client. However, it is also good to communicate the other options we explored, demonstrating a thoroughly researched project.

Here, we review the different models that we tried for the case study problem, the hyperparameters that we needed to tune, and the results from cross-validation, or the validation set in the case of XGBoost. We only include the work we did using all possible features, not the earlier exploratory models where we used only one or two features:

Figure 7.1: Summary of modeling activities with case study data

When presenting results to the client, you should be prepared to interpret them for business partners...

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Data Science Projects with Python - Second Edition

Published in: Jul 2021Publisher: PacktISBN-13: 9781800564480

Author (1)

Stephen Klosterman

Stephen Klosterman is a Machine Learning Data Scientist with a background in math, environmental science, and ecology. His education includes a Ph.D. in Biology from Harvard University, where he was an assistant teacher of the Data Science course. His professional experience includes work in the environmental, health care, and financial sectors. At work, he likes to research and develop machine learning solutions that create value, and that stakeholders understand. In his spare time, he enjoys running, biking, paddleboarding, and music.
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Review of Modeling Results

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Author (1)

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