Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

Multinomial logistic regression If the categories in the dependent variables are not ordinal, we can use multinomial logistic regression. We will then need to choose a reference category. In our ...

The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform ...

Loaded dataset from CSV. Preprocessed data (removed constant columns, handled missing values). Applied StandardScaler. Trained a LogisticRegression model using Scikit-learn. Evaluated using confusion ...