Machine-Learning-Algorithm | See pictures in the README | Machine Learning library

I am currently assigned to making a web scraper that pulls links. I can successfully pull this data:

While building a new neural network I seem unable to split the data. For some unknown reason it wont import train.test.split

ImportError: cannot import name 'cross_validation'

What I need is to:

• Apply a logistic regression classifier
• Report the per-class ROC using the AUC.
• Use the estimated probabilities of the logistic regression to guide the construction of the ROC.
• 5fold cross validation for the training your model.

For this, my approach was to use this really nice tutorial:

From his idea and method I simply changed how I obtain the raw data which I am getting like this:

I tried to follow the example codes at https://machinelearningmastery.com/tune-machine-learning-algorithms-in-r/ but my output did not showing up accuracy and kappa sd. What am i missing? My caret library is 3.5.2 on Windows 10 Pro.

My output was:

I'm learning Random Forest. For learning purpose I'm using following link random Forest. I'm trying to run the code given in this link using my R-3.4.1. But while running the following code for missing value treatment