Well, not exactly in machine learning. Here, if the variables increase, the model is likely to underfit or overfit and fail in its task. the number of variables should be controlled smartly and statistically. “A lot of people do not believe in curses, but Data Scientists do!” The Curse of…

Performance metrics are an important part of any machine learning algorithm. Without accurate measurements, it can be difficult to determine the effectiveness of an algorithm. In this blog post, we’ll take a look at some of the most common performance metrics used in statistical machine learning. Confusion Matrix Classification Accuracy …