Analysis of heart disease using parallel and sequential ensemble methods with feature selection techniques: heart disease prediction
DC Yadav, S Pal - International Journal of Big Data and Analytics in …, 2021 - igi-global.com
… : The first part deals with J48, reduced error pruning and decision … vector machine with linear,
polynomial, random forest and … used naïve bayes, logistic regression, k-NN, support vector …
polynomial, random forest and … used naïve bayes, logistic regression, k-NN, support vector …
[HTML][HTML] Breast cancer risk assessment and early diagnosis using Principal Component Analysis and support vector machine techniques
BA Akinnuwesi, BO Macaulay, BS Aribisala - Informatics in medicine …, 2020 - Elsevier
… effect of feature selection on accuracy of classification and reduction of the feature subset …
risk assessment for breast cancer using Naïve Bayes and J48 resulted in accuracy levels of …
risk assessment for breast cancer using Naïve Bayes and J48 resulted in accuracy levels of …
Hybrid-Approach-Based Feature Selection for Magnetic Reverberation Imaging Brain Tumor Classification
AM Hadi, GJAK Al-Abass, FFK Hussain - Journal of Southwest Jiaotong …, 2020 - jsju.org
… Four classification algorithms namely J48, Support Vector … The support vector machine is
very costly with respect to time … KNN, and PCA+RST and Naive Bayes are 99.20, 99.02, 98.86, …
very costly with respect to time … KNN, and PCA+RST and Naive Bayes are 99.20, 99.02, 98.86, …
A systematic method for breast cancer classification using RFE feature selection
RK Sachdeva, P Bathla, P Rani… - 2022 2nd …, 2022 - ieeexplore.ieee.org
… classification, authors have compared the performance of four different classifiers: Support
Vector Machine (… ’s impact on accuracy NaïveBayes (NB), J48 DT, and ANN. The authors took …
Vector Machine (… ’s impact on accuracy NaïveBayes (NB), J48 DT, and ANN. The authors took …
Heart disease diagnosis: Performance evaluation of supervised machine learning and feature selection techniques
… machine learning techniques. They evaluated random forest, stochastic gradient boosting
and support vector machine … J48 is the Java implementation of C4.5 algorithm in Weka toolkit …
and support vector machine … J48 is the Java implementation of C4.5 algorithm in Weka toolkit …
Prediction of Malignancy of Brain Cancer on SEER Dataset using Random Forest, SVM, and Naive Bayes Classifiers
… learning algorithms like naive bayes, RBF netwroks and J48 [8]… based feature selection
method which is based on fact that … Huang, “Support vector machine for outlier detection in breast …
method which is based on fact that … Huang, “Support vector machine for outlier detection in breast …
[PDF][PDF] Improving the classification accuracy using recursive feature elimination with cross-validation
… Neural Networks, Naïve Bayes, Support Vector Machine, and … the data points near the support
vectors (decision boundary) … -validation based feature selection method to classify Type II …
vectors (decision boundary) … -validation based feature selection method to classify Type II …
Review Sentiment Classification and Feature Selection Using Hybridized Support Vector Machine
… Support vector machine (SVM) is used in this analysis together with Particle Swarm … machine
learning methods, including Naïve Bayes, Support Vector Machines, Maximum Entropy, J48…
learning methods, including Naïve Bayes, Support Vector Machines, Maximum Entropy, J48…
An empirical evaluation of supervised learning methods for network malware identification based on feature selection
… are presented: Naïve Bayes, support vector machine, multilayer … malware traffic from the
features selected by the PCA and … was carried out based on four algorithms (Naive Bayes, J48, …
features selected by the PCA and … was carried out based on four algorithms (Naive Bayes, J48, …