Data Science
592 learners
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.
Python
Scikit-learn
4 lessons
16 practices
2 hours
Model Evaluation, Validation, and Selection
Lessons and practices
Changing RMSE to MAE Calculation
Calculating House Price Errors
Compare MSE and MAE effects
Complete the Linear Regression Code and Calculate MAE
Update Predictions for R-Squared Calculation
Calculating R-squared for House Prices
Compare R-sqared to MSE
Confusion Matrix Values in Spam Classification
Calculate Precision and Recall
Calculate Accuracy for Email Classification
Calculate Classification Metrics
Compute Confusion Matrix and F1-Score
Calculating TPR and FPR
Calculate AUC-ROC for Medical Test
Calculating AUC-ROC for Medical Diagnosis
ROC Curve Plotting and AUC Calculation
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