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Comparison of SVM and some older classification algorithms in text classification tasks

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Academic year: 2017

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Figure

Fig. 1. Processing time of the SVMreligion.miscǫtures (classifier on alt.atheism vs. talk.-, for several values of, given an increasing number of fea-A) and an increasing numberof documents in the train set (B).
Fig. 3. Performance (sys.ibm.pc.hardwareA), (B) and processing time (C), (D) of kNN, SVM andnaive Bayes for two problems : rec.motorcycles vs
Fig. 4. Performance (of features ((and SVM onA), (B) and processing time (C), (D) of naive Bayes, kNN alt.atheism versus talk.religion.misc, given an increasing numberA), (C) and an increasing number of documents in the train set (B),D)

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