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Decision Trees from large Databases: SLIQ

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Summary of <strong>Decision</strong> <strong>Trees</strong><br />

• Classification: Prediction of discrete values.<br />

Discrete attributes: ID3.<br />

Continuous attributes: C4.5.<br />

Scalable to <strong>large</strong> databases: <strong>SLIQ</strong>, SPRINT.<br />

• Regression: Prediction of continuous values.<br />

Regression trees: constant value predicted at each<br />

leaf.<br />

Model trees: a linear model is contained in each leaf.<br />

Sawade/Landwehr/Prasse/Scheffer, Maschinelles Lernen<br />

77

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