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Building a stump with the GINI index
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Classroom Contents
AdaBoost, Clearly Explained
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- 1 Awesome song and introduction
- 2 The three main ideas behind AdaBoost
- 3 Review of the three main ideas
- 4 Building a stump with the GINI index
- 5 Determining the Amount of Say for a stump
- 6 Updating sample weights
- 7 Normalizing the sample weights
- 8 Using the normalized weights to make the second stump
- 9 Using stumps to make classifications
- 10 Review of the three main ideas behind AdaBoost
- 11 . The Amount of Say for Chest Pain = 1/2*log1-3/8/3/8 = 1/2*log5/8/3/8 = 1/2*log5/3 = 0.25, not 0.42.
