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Performance Analysis of Different Classification Algorithms used for Cancer Datasets
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| Author:
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SELVAM 2
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| Abstract:
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Classification is a major technique in data mining and most used in different fields. Classification is a data mining
function which assigns object in a collection to target categories or classes. Classification models predict categorical
class labels. The aim of classification is to accurately predict the target class for each problem in the data. This paper
collects different cancer dataset and three different classification algorithms applied to generate the accuracy of the
algorithm and find the best algorithm.
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| Keyword:
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Classification, Random forest algorithm, K-NN, Naive Bayes.
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2018.10.04.051
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| Download:
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Request For Article
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