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Scikit-learn Train-Test Split Function
geeksforgeeks.org/python/how-to-split-the-dataset-with-scikit-learns-train_test_split-function/Yapay zekadan makale özeti
- Function Overview
- train_test_split() divides data into train and test sets
- Data is split into X_train, X_test, y_train, and y_test
- Train sets should be larger than test sets
- Key Components
- Training set contains data used to fit the model
- Test set is a subset for evaluating model performance
- Validation set helps tune model hyperparameters
- Parameters
- test_size controls percentage of data for testing
- train_size determines total number of test samples
- random_state enables data reproducibility
- shuffle controls data shuffling before splitting
- Implementation Steps
- Import necessary packages and load dataset
- Split data into X and Y feature variables
- Use train_test_split() function with appropriate parameters
- Evaluate model performance using test set