April 2019
Beginner to intermediate
252 pages
4h 40m
English
Content preview from Machine Learning for Data Mining
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Boosting
Let's see how to do boosting with the following steps:
- Get your data on a canvas and partition it.
- Create a Neural Net model for the data.
- Run the Neural Net model with a Random seed set to 5000.
- Connect an Analysis node and run it with Coincidence matrices checked – you will see that the testing accuracy is 81% and the overall accuracy is 80%.
- Now, boost the Neural Net model. For this, go to the Neural Net model and edit it. Go to Objectives under Build options and click on Enhance model accuracy (boosting). Boosting can be used with any size of dataset. The idea here is that we're building successive models that are built to predict the misclassifications of earlier models. So, basically, we end up building a model. There'll be ...
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