A PCA-based balanced logistic regression classifier achieves the highest recall for radio-loud quasars (0.52) among the tested models, but with low precision (0.11) and lower overall accuracy than Random Forest.
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Classifying Radio-Loud and Radio-Quiet Quasars With Novel PCA Based Regression Classifier
A PCA-based balanced logistic regression classifier achieves the highest recall for radio-loud quasars (0.52) among the tested models, but with low precision (0.11) and lower overall accuracy than Random Forest.