How do I split a dataset for training and testing?
An example of an AI chatbot conversation about splitting datasets for machine learning.
How do I split a dataset for training and testing?
You can split a dataset using various methods, such as random sampling or stratified sampling. What type of data are you working with?
I'm working with a dataset for a classification problem.
For classification, stratified sampling is often recommended to maintain the distribution of classes. Do you have a specific ratio in mind for the split?
I was thinking of a 70-30 split.
A 70-30 split is a common choice! You can use libraries like scikit-learn in Python to easily perform this split. Would you like a code example?
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