Confusion Matrix for Multi-Class Classification
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Confusion Matrix is used to know the performance of a …
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In-depth understanding of Confusion Matrix
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning deals with two types of problems: Regression problems …
Elementary Guide To Confusion Matrix
ArticleVideo Book This article was published as a part of the Data Science Blogathon. As the “No Free Lunch Theorem” states that there is …
Confusion Matrix: Detailed intuition and trick to learn
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction What is the first measure coming into your mind …
Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using …
How to Choose Evaluation Metrics for Classification Models
ArticleVideo Book This article was published as a part of the Data Science Blogathon. INTRODUCTION Yay!! So you have successfully built your classification model. …
Confusion Matrix Is No More A Confusion for Data Science Aspirants!
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After we have trained our model and have predicted …
AUC-ROC Curve in Machine Learning Clearly Explained
ArticleVideo Book AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate it and …
7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science
ArticleVideo Book Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master …
Everything you Should Know about Confusion Matrix for Machine Learning
ArticleVideo Book Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really …
