Print ROC AUC Receiver Operating Characteristic Area Under Curve

The receiver operating characteristic area under curve is a way to measure the performance of a classification model, may be created using algorithms like Logistic Regression. ROC-AUC is basically a graph where we plot true positive rate on y-axis and false positive rate on x-axis. If a model is good the AUC will be close to 1. Area … Continue reading Print ROC AUC Receiver Operating Characteristic Area Under Curve

Linear Regression Synthetic Data using Make Regression

Though we have many datasets available on internet for implementing Linear Regression , many a times we may require to create a our own synthetic data. Scikit-Learn has a class called make regression , we can use this class to generate synthetic data for linear regression. from sklearn.datasets import make_regression # generate regression dataset x, … Continue reading Linear Regression Synthetic Data using Make Regression