Accuracy of classifications methods from Satellite and iris imagery dataset are very important for eco-environment monitoring and iris type classification sequentially. It is tried to implement classifying methods on some given data files and in this article the results and accuracies among KNN, PNN, KNCN, DANN and NFL methods are compared.The results respectively show that the overall accuracies of each data are approximately %87.70 , %84.80 , %93.88, %80.70 and %80.95 .It is indicating that the KNCN and KNN classifiers have greatly better accuracies than the other mentioned methods which leads to conclusion that KNCN is the best among these five classification methods with 96.67% for iris data set and 91.09% for satellite image dataset.
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