Fig 4.TIF (1.13 MB)
The ROC curves for the dataset “Full-text Articles II”: the area under the curve for the SVM classifier represents a better result compare to that of the Naïve Bayes and Logistic Regression algorithms.
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posted on 2016-09-29, 17:30 authored by Zhan Ye, Ahmad P. Tafti, Karen Y. He, Kai Wang, Max M. HeThe ROC curves for the dataset “Full-text Articles II”: the area under the curve for the SVM classifier represents a better result compare to that of the Naïve Bayes and Logistic Regression algorithms.
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11 hoursApache Spark dataSVMBig Data Framework BackgroundSupport Vector MachineBig Data infrastructurenovel knowledgetext mining frameworkcancer types6 minutesdisease diagnosistext-mining toolsprediction modelsNa ïve Bayestext miningSparkTextLogistic Regressionarticles downloadedresearch articleslung cancersCassandra NoSQL databaseBiomedical Text Miningcancer type
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