You have already tried two algorithms for the Adult Census Income Binary Classification dataset module. Now, try another two modules to choose the best one for your final model: the Two-Class Boosted Decision Tree and the Two-Class Neural Network modules. Try out different parameters; use the Sweep Parameters module to optimize the parameters for the algorithms. The following screenshot is just for your reference—your experiment might differ. You may also try this with other available algorithms, for example, the Two-Class Averaged Perceptron or the Two-Class Logistic Regression modules to find the best model. Let's take a look at the following screenshot:
Microsoft Azure Machine Learning
By :
Microsoft Azure Machine Learning
By:
Overview of this book
Table of Contents (21 chapters)
Microsoft Azure Machine Learning
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction
ML Studio Inside Out
Data Exploration and Visualization
Getting Data in and out of ML Studio
Data Preparation
Regression Models
Classification Models
Clustering
A Recommender System
Extensibility with R and Python
Publishing a Model as a Web Service
Case Study Exercise I
Case Study Exercise II
Index
Customer Reviews