Classification

Classification Metrics in Machine Learning

Introduction Choosing the right Classification Metrics is very crucial for model evaluation. Metrics like Confusion Matrix is a simple yet a very powerful Classification Metrics when it comes to evaluating the performance of a classification problem. Confusion Matrix is a performance measurement for machine learning problem where output can be two or more classes. Similarly…Read more

Bias and Variance in Machine Learning

Machine Learning

Introduction to Bias and Variance Bias and Variance plays a very important role while building a model. To frame it in simple terms Bias is interpreted as the model error encountered for the training data and Variance is interpreted as the model error encountered for the test data. To understand the concept of Bias and…Read more