Kattamuri Sarma

10月 212017
 

To make accurate predictions, it is necessary that the sample data you use for model development is compatible with the target population. The distribution of each input used in the model should be similar in the sample and the target population. In your model you should include only those variables [...]

The post Compatibility between model data and the target population appeared first on SAS Learning Post.

8月 102017
 

In this post I describe the important tasks of data preparation, exploration and binning.These three steps enable you to know your data well and build accurate predictive models. First you need to clean your data. Cleaning includes eliminating variables which have uneven spread across the target variable. I give an [...]

The post 3 steps to prepare your data for accurate predictive models in SAS Enterprise Miner appeared first on SAS Learning Post.

3月 042014
 
To build accurate predictive models you need clean data. Having a good understanding of the data helps you to interpret the models correctly and enables you to make sound intelligent business decisions. SAS Enterprise Miner can help you to achieve the twin goals of improving the quality of data and [...]