Binary and multinomial logistic models
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Scripts in R.Logistic Models. In this project, we explore theoretical foundations, Model specification and canonical connection functions, Binary and multinomial logistic models, Estimation of parameters by maximum likelihood, Cutoff, sensitivity, specificity, ROC curve and GINI index
isadays/Supervised-MLII
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Scripts in R.Logistic Models. In this project, we explore theoretical foundations, Model specification and canonical connection functions, Binary and multinomial logistic models, Estimation of parameters by maximum likelihood, Cutoff, sensitivity, specificity, ROC curve and GINI index
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