How to create correct data frame for classification in Spark ML

Question

I am trying to run random forest classification by using Spark ML api but I am having issues with creating right data frame input into pipeline.

Here is sample data

Answer 1

According to spark documentation on mllib - random trees, seems to me that you should define the features map that you are using and the points should be a labeledpoint.

This will tell the algorithm which column should be used as prediction and which ones are the features.

https://spark.apache.org/docs/latest/mllib-decision-tree.html