Confusion Matrix TensorFlow | Confusion Matrix Explained With Example | 2023 | Simplilearn

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A Confusion Matrix is an excellent metric to describe the performance of a classification model. This video on Confusion Matrix with Machine Learning will help you learn the basics of machine learning and the need for a confusion matrix. You will understand how to create a confusion matrix and how to create a confusion matrix. You will get an idea about the different metrics and perform a demo using logistic regression to find the model's accuracy.

00:00:00 Intro to Machine Learning
00:01:13 Type of Machine learning
- Supervised Machine learning
- Unsupervised Machine learning
- Reinforcement learning
00:03:37 What is Classification
00:04:27 Need for Confusion Matrix
00:05:46 What is Confusion Matrix
00:06:10 Creating a Confusion Matrix
00:08:53 Confusion matrix metrics
00:10:58 Comparing Confusion matrix
00:12:54 Heart Attack Prediction using a confusion matrix
00:24:06 3x3 Confusion Matrix

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Комментарии
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21:20
Here in confusion matrix, 25 should be true negative, instead of true positive.
The output layout of is different from what we saw in regular confusion matrix.

pgup
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On 17:34 you said that the test data should not be scaled.
On 18:42 you scale x_test.
I'm a bit confused.

hanohbeizer
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The number of predictions(n) depends on what??
If we have 5000 test data, what will be the number of predictions(n) for confusion matrix?

shahmainurrahman
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41 people watched this in 7 minutes... WOOOW.
Oh yeah, first commenter!!!

paragparikh