Tutorial 36- Logistic Regression Mutliclass Classification(OneVsRest)- Part 3| Data Science

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Fantastic as always krish. You are by far the best resource for learning data science concepts. Appreciate you.

ahmedaman
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This is pretty helpful. So complecated concept of multiclass classification explained so simply. Thank you so much. Keep it up

ankanbhattacharyya
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Thanks Krish.I am still wondering why I didn't see this video earlier .Things would have been far more easier.Now got to study some real easy language articles or blogs especially medium / towards data science to have a better idea about this, .

sandipansarkar
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Hi, I have a small doubt which is: U said for each category, one model is trained which outputs its probability of being correctly classified. Now, when each of the models is independent and thus yields independent probability values, then how you are saying that their sum would be equal to 1 ??

I hope I made my question clear

soumyadeeproy
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Your video helps me lot... Thanks a lot..

maheshchoudhury
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@krish could you please upload a video about logistic regression implementation

anandkumar-cyst
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Sir what if we have 3 class in our target variable and we apply one hot encoding and while doing train test split we select one variable out if 3 as our Y and build a model. Likewise we can build 3 model. Is this way correct or not.

deepankzanwar
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sir how can we plot the visualization graph for AUC and ROC curve for a huge multiclass data set

samardwivedi
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what if probabilities are equal, which class will be chosen?

ghaythalmahadin
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Please publish a video for the multinomial classification using sklearn for all classification models properly in python, so that we can understand properly.

kvgaming
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What if 2 of those 3 classes got the same probability values? How the model is gonna classify that new test point ?

thallamkarthik
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does logistic regression always fit a line or it can fit curves also?

InfinitelyScrolling
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Sir, could you please explain the difference between multiclass classification and clustering algorithm.

aadarshshekhar
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it is like creating dummy variables right

siddharthgurav
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how the sum of all prob of all models is equal to 1?....I think in some cases it might be greater than eg if 2 model gives .5 value and 3rd gives 0.3 ....then the sum is 1.3

rohankavari
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Thanks for your best intuition Sir, This tutorial has weed out all my confusion

datatorture
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Sir, for multiclass classification (having more than 2 categories in dependent variable).
Can we use Multinomial Logistic Model from GLM family?

mrunaldusane
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Sir I have one question, please tell us where to practice problems. on Machine Learning, I am starting to fell that theory only is not going to cut it anymore.

adityay
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How to calculate probability of m1, 2 and 3. Formula ?

MaLik-gzvb
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In 6 minutes explained the whole material of 1 hour university lecture

borispasynkov