Armed with our decision tree, on Saturday morning, when we wake up, all we need to do is check (a) the weather (b) how much money we have and (c) whether our parent's car is parked in the drive. The ...

so H(Fair) = 1 H (F a i r) = 1 for a fair coin, and we say it has 1 bit of entropy if you re-do the calculation with an unfair coin, say a coin with a 99% chance of coming up heads, you get H(Unfair) ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...