Deep Dive into Regression and Classification Metrics
This course provides an in-depth understanding of evaluation metrics for both regression and classification models. By the end of this course, you will be able to evaluate the performance of your machine learning models properly in different scenarios.
Lessons and practices
Lesson 1: Understanding MSE, MAE, RMSE and Their Differences
Changing RMSE to MAE Calculation
Calculating House Price Errors
Compare MSE and MAE effects
Complete the Linear Regression Code and Calculate MAE
Lesson 2: R-squared Metric
Update Predictions for R-Squared Calculation
Calculating R-squared for House Prices
Compare R-sqared to MSE
Lesson 3: Classification Metrics
Confusion Matrix Values in Spam Classification
Calculate Precision and Recall
Calculate Accuracy for Email Classification
Calculate Classification Metrics
Compute Confusion Matrix and F1-Score
Lesson 4: Building and Understanding AUC-ROC
Calculating TPR and FPR
Calculate AUC-ROC for Medical Test
Calculating AUC-ROC for Medical Diagnosis
ROC Curve Plotting and AUC Calculation
Interested in this course? Learn and practice with Cosmo!
Practice is how you turn knowledge into actual skills.