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

[@SimplilearnOfficial]

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[@pgup269]

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

[@roopagaur8834]

Well explained 👍 thanks

[@SimplilearnOfficial]

Thanks a ton!

[@shahmainurrahman8510]

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?

[@SimplilearnOfficial]

"Hi Shah,
n represents the total number of predictions made by the model. It is equal to the sum of TN+TP+FN+FP."

[@strongsyedaa7378]

@@SimplilearnOfficial
Can YOU please make a video on
Confusion Matrix For Multiclass classification?

[@hanohbeizer5368]

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.

[@victornazlukhanyan533]

A bit late but he explicitly said (although he stumbled with his words so I can understand your confusion) that whatever you fit (e.g. scaler) you must fit on the training (as that is the only data your model sees). You have to scale x_test however you use the scaler fit on training to do it. Now any future data will be scaled with a scaler that has been pre-trained.

[@anantgosai8884]

Thank you!

[@SimplilearnOfficial]

You're welcome!

[@paragparikh2201]

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

[@SimplilearnOfficial]

Thanks for your love and support!

[@mihiretgashaw2662]

where is the dataset?

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@paragparikh2201]

First

[@SimplilearnOfficial]

Nice!