Final Sklearn models

 Looking at the data the previous model was not looking at the correct fields. after some investigation, I found 56 rows of data in the 460085 rows of data that did not have the binary value, causing errors and incorrect values. 

below are the Sklearn model. I made a comparison between 3 algorithms 

Decision Tree Classifier 99.5 %

Logistic Regression 96.5%

KNeighbors Classifier 98.2%

The Model that performed better was the Decision tree classifier see image below: