Model Comparison in Azure Machine Learning

We are building models in Machine Learning. How do you know these models are correct. What are the accuracy levels of these models? As we know there are a lot of parameters to verify. In the case of Classification, we use Recall, Precision, F1 measure are the most common evaluation methods apart from accuracy. In this article, it provides how can we compare models that were built in Azure Machine Learning.

Following are the other articles in the series.

Introduction to Azure Machine Learning using Azure ML Studio

Data Cleansing in Azure Machine Learning

Prediction in Azure Machine Learning

Feature Selection in Azure Machine Learning

Data Reduction Technique: Principal Component Analysis in Azure Machine Learning

Prediction with Regression in Azure Machine Learning

Prediction with Classification in Azure Machine Learning