Depth = 4 and number = 4 seems to work well for this data. Other parameters include the feature importance type, for example: gain, weight, cover, total_gain or total_cover. These can be tuned ...

A binary classification problem is one where the goal is to predict the value of a variable where there are only two possibilities. For example, you might want to predict the sex of a person (male or ...

The goal of a binary classification problem is to predict an output value that can be one of just two possible discrete values, such as "male" or "female." This article is the first in a series of ...