Machine learning is a branch of computer science and artificial intelligence that give attention to the use of algorithms and data that try to copy the work of the human brain, improving the exactness over time.
Variance refers to when we use different portions of the training data set in the model.
We define the variance formula by the difference between the expected value and the expected estimated value: