Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

predicting chemical acute dermal toxicity used a machine learning ... under the curve (AUC) of 0.71. (25) Schieferdecker et al. proposed oral toxicity prediction based on fingerprints and molecular ...

In the days leading up to the September FOMC meeting, the U.S. Treasury UST 2-Year/10-Year yield curve un-inverted ... we have moved to neutral duration within our model portfolios, and recommend ...

In recent years, machine learning ... classification. The BiLSTM model is then fed with these features. Cross-validation was used to evaluate the accuracy of the diagnostic system, precision, recall, ...

Subsequently, this work borrows from machine learning and applies its learning curve and receiver operating characteristic curve to guide the optimization of the proposed identification model ... (e.g ...

we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and performs better than traditional time series analysis. We explore the ...

The area under the ROC curve gives an idea about the benefit of using the test for the underlying question. AUC - ROC curves are also a performance measurement for the classification ... to evaluate a ...

In this study, we introduced a method based on machine-learning algorithms for the classification ... and logistic regression) used in this study. Moreover, we confirmed the important features of the ...