Tag: Loss function

Lecture 8: Machine Learning in Practice (I)

Topics: evaluation, t-¬≠test, cost-sensitive measures, occam’s razor, k-statistic, lift charts, ROC curves, recall-precision curves, loss function, counting the cost, weka Lecture 8: Machine Learning in Practice (1) from Marina Santini

Lecture 3b: Decision Trees (Part 1) (ML4LT)

Decision Treee

slideshare presentation: http://www.slideshare.net/marinasantini1/lecture-3b-decision-trees-1-part Topics: Greediness, Divide and Conquer, Inductive Bias of the Decision Tree, Loss function, Expected loss, Empirical error, Induction.