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Yooya yooya


Last seen: 3 years ago |  Active since 2020

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How can I use Grid search on these parameters?
How can I use Grid search on following parameters? -MaxNumSplits -MinLeafSize -SplitCriterion -NumVariablesTosample % dec...

3 years ago | 1 answer | 0

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answer

Question


What different parameters can I use to see any effect it has on the model?
% Train the classifier Nb = NaiveBayes.fit(Xtrain,Ytrain,'Distribution',dist);

3 years ago | 1 answer | 0

1

answer

Question


How do we vary hyperparameters to find the optimal values?
How do we vary hyperparameters to find the optimal values for naive bayes model? % Train the classifier Nb = NaiveBayes.fit(...

3 years ago | 1 answer | 0

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Question


Is hyperparameters the same as optimal parameters?
Is hyperparameters the same as optimal parameters?

3 years ago | 1 answer | 0

1

answer

Question


what parameters can I use for naive bayes model?
% Train the classifier Nb = NaiveBayes.fit(Xtrain,Ytrain,'Distribution',dist);

3 years ago | 0 answers | 0

0

answers

Question


How to use Grid search to find the optimal hyperparameters ?
% Train the classifier knn = ClassificationKNN.fit(Xtrain,Ytrain,'Distance','seuclidean');

3 years ago | 1 answer | 0

1

answer

Question


How to measure how long it takes to run on test set ?
% Make a prediction for the test set Y_knn = knn.predict(Xtest);

3 years ago | 1 answer | 0

1

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Question


How can compare models using ROC curve?
How can compare models using ROC curve? For example Naive Bayes and Decision Tree

3 years ago | 1 answer | 0

1

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Question


How do I find the mean and standard deviation of each column for this data?
what code would produce a table of the mean and standard deviation

3 years ago | 2 answers | 0

2

answers

Question


How do I find the accuracy of the model
How do I find the accuracy of the decision tree modeL ?

3 years ago | 1 answer | 0

1

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Question


How to get ride of duplicate rows?
How do I see how many duplicate rows there are in the bank-marketing dataset? and how do I get rid of them? Thank you!

3 years ago | 1 answer | 0

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