Ye, Zhan Tafti, Ahmad P. He, Karen Y. Wang, Kai He, Max M. 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. <p>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.</p> 11 hours;Apache Spark data;SVM;Big Data Framework Background;Support Vector Machine;Big Data infrastructure;novel knowledge;text mining framework;cancer types;6 minutes;disease diagnosis;text-mining tools;prediction models;Na ïve Bayes;text mining;SparkText;Logistic Regression;articles downloaded;research articles;lung cancers;Cassandra NoSQL database;Biomedical Text Mining;cancer type 2016-09-29
    https://plos.figshare.com/articles/figure/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_Na_ve_Bayes_and_Logistic_Regression_algorithms_/3972654
10.1371/journal.pone.0162721.g004