The performance of the proposed algorithm is evaluated by simulating the various types of fault and ... or 1(Fault is present) The models taken into consideration were mostly classification models, ...

y_pred=logreg.predict(X_test) One of the image classification results from the Logistic regression model implemented is shown below where the implemented model’s ability to correctly classify the ...

Nevertheless, these models do not consider a statistical distribution of data, which is an important type of uncertainty. Data distribution serves as crucial information for designing an optimal ...

This project implements a multi-class logistic regression model to classify Iris flower types. It uses Python libraries to load and prepare the Iris dataset, train the model, evaluate its accuracy, ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Abstract: Redundancy in patent abstracts, that is, the repetition of an International Patent Classification tag or patent class information across documents, poses a challenge in patent classification ...

we propose an LGD estimation model using a two- stage model, classification tree-based boosting and support vector regression (SVR). We compare the proposed model’s predictive performance with ...