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Logistic Regression

LR,Logistic Regression,logistic regressions,logistical regression,logistic regress,Logistical Regressions,logistically regressing,logistics regression

Logistic Regression - LR
Publications: 25,560| Citation Count: 271,154
Stemming Variations: logistic regressions, logistical regression, logistic regress, Logistical Regressions, logistically regressing
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    • Logistic regression (LR) is a simple and efficient supervised learning algorithm for estimating the probability of an outcome variable. This algorithm is widely accepted and used in medicine for classification of diseases using DNA microarray data. Classical LR does not perform well for microarrays when applied directly, because the number of variables exceeds the number of samples. However, by reducing the number of genes and selecting specific variables (using filtering methods) great results can be obtained with this algorithm...

    Santiago Gonzálezet al. EDA-Based Logistic Regression Applied to Biomarkers Selection in Breas...

    • Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Sparse logistic regression embeds feature selection in the classification framework using the l1-norm regularization, and is attractive in many applications involving high-dimensional data...

    Jun Liuet al. Large-Scale Sparse Logistic Regression

    • Logistic Regression is a well known classification method in the field of statistical learning. Recently, a kernelised version of logistic regression has become very popular, that allows nonlinear probabilistic classification and shows promising results on several benchmarks...

    Marcel Katzet al. Sparse Kernel Logistic Regression for Phoneme Classification

    • Logistic regression (LR) is a widely used multivariable method for modeling dichotomous outcomes. This article examines use and reporting of LR in the medical literature by comprehensively assessing its use in a selected area of medical study. Medline, followed by bibliography searches, identified 15 peer-reviewed English-language articles with original data, employing LR, published between 1985 and 1999, pertaining to patient interest in genetic testing for cancer susceptibility. Articles were examined for each of 10 criteria for proper use and reporting of LR models...

    Steven C. Bagleyet al. Logistic regression in the medical literature: Standards for use and r...

    • Logistic regression is a simple and efficient supervised learning algorithm for estimating the probability of an outcome or class variable. In spite of its simplicity, logistic regression has shown very good performance in a range of fields...

    L. Ohno-Machado. Optimizing logistic regression coefficients for discrimination and cal...

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