Open AccessMachine Learning Algorithms with Different Gene Expression Datasets
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1047.1292s319
Subject(s) - support vector machine , computer science , logistic regression , microarray analysis techniques , precision and recall , artificial intelligence , machine learning , microarray , process (computing) , data mining , pattern recognition (psychology) , algorithm , gene expression , gene , biology , biochemistry , operating system
Two classification techniques have been compared using microarray dataset. For example SVM, Logistic Regression strategies have been utilized in the process. The usefulness of these techniques has been determined with precision, accuracy, recall and F1-Scores. These techniques Here Prostate tumors, Lung Cancer, were analyzed. For each situation these strategies were applied to two distinctive microarray datasets with two classes. Finally performance analysis was done