Building an interactive decision tree plotter provided insights into how decision trees capture and fail to capture certain patterns. The algorithm splits data based on maximizing entropy reduction but can be sensitive to small changes and might miss optimal splits without lookahead. Decision trees are useful for understanding data regions but may require more complex methods for more intricate patterns.

2m read timeFrom pub.towardsai.net
Post cover image

Sort: