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Hello Friends. Hope you are fine. Please go to link as discussed here to train the data having multiclass classification using decision tree classifier    • Real time prediction for multiclass classi...  

This video is about classifaction using One vs ALL Classification and SVM Module (SVC)

Along With this Grid search is also implemented.

One Vs ALL: There are N classifier which corresponding to N classes. N models are created for N classes using N classifier. In other words N trained models are formed for N classes.

When real time data is provided to model, It is compared with N models and each model is giving the probability of score. Maximum score is the result and new prediction goes to class of such scores

Let us see the code using Jupyter notebook. Data remains same which is heart dataset. Data could be downloaded from UCI repository (heart dataset). In the description, I will provide the link to download the dataset used. Link is https://drive.google.com/file/d/1sUZ3...

Let us see the code implementation part

Steps:
1. Data is loaded.
2. Data is Processed
3. Model is selected One Vs All and grid search (SVC)
4. x_train and y_train trains the model
5. x_test is provided to trained model