Media Summary: Classification performance metrics are an important part of any machine learning system. Here we discuss the most In this video we will go over following concepts, What is true positive, false positive, true negative, false negative What is One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...
Precision Recall Explained A Simple - Detailed Analysis & Overview
Classification performance metrics are an important part of any machine learning system. Here we discuss the most In this video we will go over following concepts, What is true positive, false positive, true negative, false negative What is One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ... How do you know if your machine learning model is really performing well? In this video, we explain the three core evaluation ... ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ... Struggling to understand the difference between
Does 80 % accuracy means our model is great? Well, not necessarily. In this video I present three core metrics for classification ... Evaluating RAG systems requires more than checking how similar an answer is to a reference. Traditional metrics like BLEU, ... How do you know if your machine learning model is actually good? In this video, we'll break down model evaluation metrics in ...
