R Machine Learning By Example by Raghav Bali

Author:Raghav Bali
Language: eng
Format: epub
Publisher: Packt Publishing

The following visualizations tell us that credit.rating has two classes, 1 and 0, and gives the necessary statistics. Basically, customers with a credit rating of 1 are credit worthy and those with a rating of 0 are not credit worthy. We also observe from the bar chart that the proportion of credit worthy customers in the bank is significantly high compared to the rest.

Next, we will analyze the account.balance feature. Basically, this attribute indicates the current balance of the current account of the customer.

We will start with getting the summary statistics and plotting a bar-chart using the following code snippet. We will include both the outputs together for better understanding.

> # account.balance stats and bar chart > get.categorical.variable.stats(account.balance) > visualize.barchart(account.balance)

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.