Splitting the data into train and test datasets

Proceed to create our test and train datasets. The objective will be to sample 80% of the data for the training set and 20% of the data for the test data set.

To speed up sampling somewhat, we can sequentially sample the tails of the sample_bin range for the test dataset and then use the middle for the training data. This is still a random sample, since sample_bin was originally generated randomly and the sequence or range of the numbers have no bearing on the randomness.

Generating the training datasets

Since we want 80% of our data to be training data, first take all of the sample_bin numbers which lie between the high and low cutoff values. We can define the cutoff range as...