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Classification Performance Metrics

Towards Data Science

Evaluating a classifier is often more difficult than evaluating a regressor because of the many performance measures available and the different types of problems requiring a specific metric. Knowing…...

Performance Metrics for Classification problem .

Analytics Vidhya

Performance metrics are the way to understand how good the model is doing on the test data or on the validation data. There are several metrics out there but not every metric can be used everywhere…

Performance metrics for classification

Analytics Vidhya

In this article, we will look into the commonly used performance metrics for classification. Let us understand what is a classification problem in machine learning. Classification is a supervised…

8 Metrics to Measure Classification Performance

Towards Data Science

Classification is a type of supervised machine learning problem where the goal is to predict, for one or more observations, the category or class they belong to. An important element of any machine…

Understand Classification Performance Metrics

Becoming Human: Artificial Intelligence Magazine

You have been working on a data science project. You have cleaned the data. You visualized the data. You structured the data. You understand your responsibility. You know that your prediction can…

Evaluating Classifier Model Performance

Towards Data Science

It’s 4am and you’re on your seventh coffee. You’ve trawled the forums to find the most sophisticated model you can. You’ve set up your preprocessing pipeline and you’ve picked your hyperparameters…

Effectiveness of classification models

Analytics Vidhya

A hands-on activity on machine learning model assessment metrics

Measuring the performance of a Classification problem

Becoming Human: Artificial Intelligence Magazine

There has been a lot of hype about Machine Learning in the last few decades and people from various fields are converging towards Machine Learning. It is undeniably one of the hottest topics today…

Classification Accuracy is Not Enough: More Performance Measures You Can Use

Machine Learning Mastery

Last Updated on June 20, 2019 When you build a model for a classification problem you almost always want to look at the accuracy of that model as the number of correct predictions from all predictions...

Performance Measures for Classification Models

Towards Data Science

While building a Machine Learning model, the most important part is to know how well the model works. This is determined usually with a performance metric.

Evaluation of Classification Algorithms

Python in Plain English

Let’s suppose we had some data and put the data in a model that predicts either positive or negative: How well did this model perform? There are many different ways we can look at this. First, let us…...

Evaluation Metrics for Classification: Beyond Accuracy

Towards Data Science

In this article, we will discuss why accuracy is not always the best measure to evaluate the performance of a model, especially in the case of classification tasks, and then we will introduce alternat...