According to Yeomans$$ What Every Manager Should Know About Machine Learning, which of the following statements is wrong?

Question $2$ options:

The most common application of ML is to make predictions such as the future performance of employees.

ML focuses on causality.

One common practice in cross$-$validation is to randomly split the sample into two parts: a training set and a test set.

Machine learning $($ML$)$ can be thought of as one branch of statistics for big data.