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Logistic Regression Machine Learning Example ¦ Simply Explained
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Analytics India Magazine3y
Is logistic regression the COBOL of machine learning? - Analytics India Magazine
Joseph Berkson developed logistic regression as a general statistical model in 1944. Today, logistic regression is one of the main pillars of machine learning. From predicting Trauma and Injury ...
IEEE8y
Machine learning, linear and Bayesian models for logistic regression in failure detection problems | IEEE Conference Publication | IEEE Xplore
In this work, we study the use of logistic regression in manufacturing failures detection. As a data set for the analysis, we used the data from Kaggle competition “Bosch Production Line Performance”.
Frontiers2y
Frontiers | Machine learning outperforms traditional logistic regression and offers new possibilities for cardiovascular risk prediction: A study involving 143,043 Chinese ...
Keywords: machine learning, CVD, risk prediction, hypertension, traditional logistic regression. Citation: Xi Y, Wang HY and Sun NL (2022) Machine learning outperforms traditional logistic regression ...
IEEE7mon
Optimizing Logistic Regression Model for Heart Disease Prediction with Machine Learning
Abstract: Nowadays, heart disease is a serious medical issue, and diagnosis is crucial to providing the proper treatment to the patient. Hence, machine learning (ML)-based early diagnosis of heart ...