Project | Computer Science homework help

 

I require a code for the classification of mushrooms for this dataset https://www.kaggle.com/uciml/mushroom-classification  I want the code to perform classification if the mushroom is edible or not using SVM, Decision tree, Random Forest, and Naive Bayes with their f-precision, recall, accuracy. I also want cross validation on the mentioned methods.

I also need a project report that is 4 pages, which details in the first page – 1 The problem description and task

In the second page – The attributes, the preprocessing being done on them and features.

In the third page – The models being used which and how we used it 

Fourth Page – I need the experiment results and the cross validation with the models

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