Comparison of strategies for validating binary logistic regression models

The role of link function is to ‘link’ the expectation of y to linear predictor.Let’s understand it further using an example: We are provided a sample of 1000 customers.

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Instead, in such situations, you should try using algorithms such as Logistic Regression, Decision Trees, SVM, Random Forest etc.Read more » In the previous three posts I used multiple linear regression, decision trees, gradient boosting, and support vector machine to predict miles per gallon for 2019 vehicles. Every machine learning algorithm works best under a given set of conditions.However, the collection, processing, and analysis of data have been largely manual, and given the nature of human resources dynamics and HR KPIs, the approach has been constraining HR.Therefore, it is surprising that HR departments woke up to the utility of machine learning so late in the game.

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