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Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks
Higgs boson is a fundamental particle, and the classification of Higgs signals is a well-known problem in high energy physics.
A Novel Multiple Ensemble Learning Models Based on Different Datasets for Software Defect Prediction
Particularly, we proposed an ensemble learning models and perform comparative analysis among KNN, Decision tree, SVM and Na\"ive Bayes on different datasets and it is demonstrated that performance of Ensemble method is more than other methods in term of accuracy, precision, recall and F1-score.
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