ROC Curve In R | ROC Curve In Logistic Expression | Data Science Tutorial | Intellipaat – YouTube

In this Intellipaat’s ROC curve in logistic expression video you will learn about ROC curves in R which is used for understanding the trade-off between the specificity and sensitivity of the binary classifier. You will learn to do threshold evaluation and find out the area under curve. This video also includes understanding the roc curve in logistic regression.
You will learn in this data science tutorial video that if you want to turn the real valued scores into a yes or no prediction then you need to set a threshold. All the scores which are above the threshold are positive and those that are below the threshold are negative. The various threshold values will give the different levels of specificity and sensitivity.

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This ROC curve in R programming language tutorial helps you to learn following topics:

00:22 Threshold Evaluation

00:45 ROC Curve

1:14 Area Under Curve

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Why should you watch this ROC curve in R video?

Intellipaat data science tutorial video that includes the various aspects of data science, r programming and more will help you understand the details of how r programming is used in data science domain. You will learn about the various terminologies involved like what is ROC curve, ROC curve in logistic regression, threshold evaluation, area under curve and more about the roc curve explained in this video on ROC curve.

If you want to learn data science with r this video on ROC curve from Intellipaat will help you be on your journey to becoming a data scientist. This video on learning about the ROC curve, threshold evaluation, area under curve and more is part of the data science tutorial.

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Data Science is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Data Science that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat Data Science training & Data Science Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

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Author: Aprit Dixit

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