Machine Learning Model Evaluation
What exactly is Machine Learning? Machine Learning is a hot topic in information technology right now. Machine Learning enables our computer to gain insight from data and experience in the same way that a human would. Programmers teach the computer how to use its past experiences with various entities to perform better in future scenarios in Machine Learning. Machine Learning entails creating mathematical models to assist us in understanding the data at hand. Once fitted to previously observed data, these models can be used to predict newly observed data. Models in Machine Learning are only as useful as their predictive power; thus, our fundamental goal is not to create models but to create high-quality models with promising predictive power. Binary Classifier Predictions Evaluation Accuracy is a well-known performance metric used to distinguish a strong classification model from a weak classification model when evaluating a Binary Classifier. Simply put, accuracy is the t...