Decision Tree Report
1 Data Mining Lecture 4: Decision Tree & Model Evaluation.
Decision Trees IDHairHeightWeightLotionResult SarahBlondeAverageLightNoSunburn DanaBlondeTallAverageYesnone AlexBrownTallAverageYesNone AnnieBlondeShortAverageNoSunburn.
Decision Tree Pruning. Problem Statement We like to output small decision tree Model Selection The building is done until zero training error Option.
Chapter 6: Implementations. Why are simple methods not good enough? Robustness: Numeric attributes, missing values, and noisy data.
Machine Learning in Practice Lecture 19 Carolyn Penstein Rosé Language Technologies Institute/ Human-Computer Interaction Institute.
Machine Learning in Practice Lecture 19
