Day: August 23, 2019

Applied Data Science Coding with Python: How to get Regression R_squared

How to get Regression R_squared R-squared is a statistical measure that helps us understand how well a regression model is able to explain the variation in the target variable. It is a value between 0 and 1, where a value closer to 1 indicates a better fit of the model to the data. To calculate …

Applied Data Science Coding with Python: How to get Regression MSE

How to get Regression MSE Regression is a statistical method that helps us understand the relationship between different variables. One way to evaluate the performance of a regression model is to calculate the Mean Squared Error (MSE). MSE is a measure of how well the model is able to predict the target variable. It is …

Applied Data Science Coding with Python: How to get Regression Metric MAE

How to get Regression Metric MAE Regression is a type of machine learning that is used to predict numerical values. One way to evaluate the performance of a regression model is to use a metric called Mean Absolute Error (MAE). To calculate MAE, you first need to have a dataset with both input variables (also …

Applied Data Science Coding with Python: How to get Classification Report

How to get Classification Report A classification report is a tool used in machine learning to evaluate the performance of a classification model. It is used to compare the predicted classes and the true classes of a dataset. The classification report in Python typically includes several metrics such as precision, recall, f1-score, and support. Precision …