Going shopping – overcoming data inconsistencies with randomness and measuring the level of confidence

We take the problem from the previous chapter. We have the following data relating to the shopping preferences of our friend, Jane:

Temperature	Rain	Shopping
Cold	None	Yes
Warm	None	No
Cold	Strong	Yes
Cold	None	No
Warm	Strong	No
Warm	None	Yes
Cold	None	?

 

In the previous chapter, decision trees were not able to classify the feature (Cold, None). So, this time, we would like to establish whether Jane would go shopping if the temperature was cold and there was no rain using the random forest algorithm.

Analysis

To perform an analysis using the...