Machine Learning, Linear Regression, Data Science, Artificial Intelligence.
high variance. This means that you would have to be lucky to get a model that produces reliable predictions. Conversely, if the model is not complex enough to describe the data under analysis, due to few features or simple architecture, the variance will be small but the bias will be large. In this