Accuracy Paradox in Machine Learning

Accuracy is one metric for evaluating classification models. Informally, accuracy is the fraction of predictions our model got right. This video explains why accuracy is not the best measure for assessing machine learning classification models.

To view the video

• Click here
• Click on the image below

Want to know more about me?

Follow Me