Measuring Classification Performance with Python and Scikit-Learn

classification performance python confusion matrix roc curve

Classification is a supervised machine learning problem in which the task is to predict the correct class labels (two or more) for a set of observations. An essential step in developing a classifier is to evaluate its performance. Only when we understand how well a model sorts observations into the … Read more

Measuring Regression Errors with Python

measure regression errors python

Evaluating performance is a crucial step in developing regression models. Because regression models return continuous outputs, such models allow for different gradations of right or wrong. Therefore, we measure the deviation between predictions and actual values in numerical terms. However, a universal metric to measure the performance of regression models … Read more