Lecture 6 Decision Tree Learning As discussed in the last lecture, the representation scheme we choose to represent our learned solutions and the way in which we learn those solutions are the most ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...

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 ...