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Repeatedly withholding subsets of the data during model fitting in order to quantify the model performance on the withheld data subsets.
0
votes
1
answer
5k
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GridSearchCV returns better parameters with cv=5 than with cv=10
I use titanic dataset in this project.
First, I split the train & test data :
training, testing = train_test_split(train, test_size=0.2, stratify=train['Survived'], random_state=0)
I try to find t …
1
vote
1
answer
764
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Best Practice for choosing hyperparameters for stacking/majority voting
My goal is to get the best hyperparameters for the classifiers I used in Stacking/Majority Voting.
This is the steps that I did (with very small Titanic dataset):
I use GridSearchCV to tune each cl …
1
vote
1
answer
3k
views
SVC doing great on validation & test data but scored very low on predicted data
First of all, this is my first machine learning project after taking Andrew Ng's course, so please bear with me.
I'm working on the most famous dataset, the Titanic data.
First, I split the dataset …