Imbalanced data
8 important questions on Imbalanced data
How to spot overfitting in plotting the accuracy?
How to avoid over flexibility in a classifier
Splitting the data into two or three will lower the sample size, what can we do to counteract this?
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How does cross validation work?
What is nested cross validation?
What strategy would make the training set as large as possible?
If splits and cross validation split are random what does this imply for the results?
What is the difference between validation and test data?
Test data: test data outer experiments
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