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What is Logistic Regression with Evaluation Metrics about?

The document describes implementing logistic regression on a credit card dataset to classify customers. Logistic regression and cross validation were used. The model overfit the 90% training, 10% test split data and had an accuracy of 0.5. Evaluation metrics like confusion matrix and F-measures were calculated. Gradient descent was used to observe the cost function with logistic regression.

Author

yash

Language

EN