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Automated Classification of Web Sites using Naive Bayesian Algorithm

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Academic year: 2017

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TABLE I  D ATA  S ET Category  Total  Samples  Training Samples  Test  Samples  Academic Institutions  503  453  50  Hotels 470  423  47  Book Sellers/Publisher  485  437  48  Health Care  511  460  51  Sports 476  428  48  Automobiles 495  445  50
Table IV shows the results obtained when nine folds i.e.,  4398 examples were used as the training set to build the  classifier and the remaining fold 489 examples were used to  test the classifier for accuracy

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