Understanding Confusion Matrix, Precision-Recall, and F1-Score

Why accuracy shouldn’t be the only performance metric you care about while evaluating a Machine Learning model. This is why I’ll be discussing some other performance metrics like Confusion Matrix, Precision-Recall, and F1-Score that you should consider using along with Accuracy while evaluating a Machine Learning model.

Is Your Classifier Any Good?

In this post, we aim to predict whether a passenger survived the Titanic shipwreck. But rather than training a sophisticated model, we don’t even look at the data. This way, we discover how easy it is to produce seemingly good results that are, in fact, worthless.

Evaluation Metrics for Your Machine Learning Classification Models

The most important part of any Machine Learning Model is to know how good or accurate your model is. Okay, so I am a budding Data Scientist and I start building models.

Recommender System Metrics — Clearly Explained

In this post, we will be discussing evaluation metrics for recommender systems and try to clearly explain them. But before that let’s understand the recommender system in short.

Recommender System Metrics — Clearly Explained

In this post, we will be discussing evaluation metrics for recommender systems and try to clearly explain them. But before that let’s understand the recommender system in short.

Evaluation Metrics for Regression Problems

Hi, today we are going to study about the Evaluation metrics for regression problems. Evaluation Metrics are very important as they tell us, how accurate our model is.

You’ve fit the model, what’s next? — Classification Edition

What statistical metrics should you use to evaluate your classification model? In this post, we will be going through a quick overview of some common classification evaluation metrics to help us determine how well our model performed. For simplicity’s sake, let’s imagine we’re dealing with a binary classification problem, such as fraud detection and food recall.

Still using Accuracy as a Classification Metric?

Still using Accuracy as a Classification Metric? - Understanding Top N accuracy metrics for multi-class classification problems with Python implementation