Logistic Regression (LR) is a well known classification
method in the field of statistical learning. It allows probabilistic classification and shows promising results on several benchmark problems. Logistic regression enables us to investigate the relationship between a categorical outcome and a set of explanatory variables. Artificial Neural Networks (ANNs) are popularly used as universal non-linear inference models and have gained extensive popularity in recent years. Research
activities are considerable and literature is growing
The goal of this research work is to evaluate the parameters of the logistic regression by using neural network
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