log p O K log p COS424SML 302 Classification methods 55 57

Log p o k log p cos424sml 302 classification methods

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(log p ) O ( K log p ) COS424/SML 302 Classification methods February 20, 2019 55 / 57
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Summary Today we saw four different classifiers: K nearest neighbors Support vector machines (SVMs) Decision trees Random forests We saw how kernels could be used to make linear classifiers into non-linear classifiers (e.g., SVMs) We compared these four classifiers plus NB on 11 different metrics Logistic regression will be covered in an upcoming class COS424/SML 302 Classification methods February 20, 2019 56 / 57
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Additional resources MLAPA: Chapter 14 Elements of Statistical Learning : Chapters 6, 9, 10, 12, 13 Pattern Recognition and Machine Learning , Chapter 4 Discriminative vs generative classifiers: [Ng & Jordan 2001] Two cultures paper: [Breiman 2001] (video) Alex Smola: Kernel Methods and Support Vector Machines Metacademy: Binary linear classifiers Metacademy: Kernel Support Vector Machine COS424/SML 302 Classification methods February 20, 2019 57 / 57
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  • Spring '09
  • Machine Learning, K-nearest neighbor algorithm, Support vector machine, Statistical classification

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