Year: 2022
Type: article
Abstract: AI to help researchers in analyzing larger data sets and providing faster and more accurate diagnoses of prostate cancer lesions.This research work finds AdaBoost M1 model gives an optimal results.This research work finds Ada Boost M1 of ensemble model gives an optimal results.The highest accuracy value is 89% of accuracy which is produced by Filtered Classifier.The least accuracy value is 83% of accuracy which is produced by Iterative Classifier Optimizer algorithm.The highest positive predictive value is 0.90 of positive predictive value which is produced by Filtered Classifier.The least positive predictive value is 0.83 of positive predictive value which is produced by Iterative Classifier Optimizer algorithm.The highest true positive rate value is 0.89 of true positive rate which is produced by Filtered Classifier.The least true positive rate is 0.83 of true positive rate which is produced by Iterative Classifier Optimizer algorithm.The highest F1-Score value is 0.89 of F1-Score value which is produced by Filtered Classifier.The least F1-Score value is 0.83 of F1-Score value which is produced by Iterative Classifier Optimizer algorithm. .The highest phi coefficient value is 0.77 of phi coefficient value which is produced by Filtered Classifier.The least phi coefficient is 0.65 of phi coefficient value which is produced by Iterative Classifier Optimizer algorithm.The highest AUC value is 0.91 of ACU-ROC value which is produced by Iterative Classifier Optimizer algorithm.The least AUC is 0.65 of ACU-ROC value which is produced by Attribute Selected Classifier and Filtered Classifier.The highest AUC-PR value is 0.89 of ACU-ROC value which is produced by Iterative Classifier Optimizer algorithm, Bagging and Classification via Regression models.The least AUC-PR is 0.80 of AUC-PR value which is produced by Attribute Selected Classifier and Filtered Classifier.This work concludes that the Ada Boost M1 Classifier gives best outcomes compare with other models.
Authors: Dr.Manikandan G., Dr.Bhuvaneswari G.
Institution: Loyola Institute of Technology and Science
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4283220163