Machine Learning - Construct a Confusion Matrix | Compute accuracy, precision, recall & sensitivity Vidya Mahesh Huddar

4.0 (1)

15 learners

What you'll learn

This course includes

47.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Construct Confusion Matrix Confusion Matrix given expected and atcual Confusion Matrix Compute precision Compute recall Compute sensitivity Compute specificity Compute accuracy confusion matrix machine learning confusion matrix for multiclass classification confusion matrix example confusion matrix example problem

Full Transcript

Construct a Confusion Matrix. Compute the accuracy, precision, recall, sensitivity, and specificity by Vidya Mahesh Huddar Consider a two-class classification problem of predicting whether a photograph contains a man or a woman. Suppose we have a test dataset of 10 records with expected outcomes and a set of predictions from our classification algorithm. Compute the confusion matrix for the data. Compute the accuracy, precision, recall, sensitivity and specificity of the data. The following concepts are discussed: ______________________________ Construct a Confusion Matrix, Confusion Matrix given expected and actual, confusion matrix explained with an example, confusion matrix precision recal ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates