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In Python how can I test and make sure my model is predicting data right? (beginner asking)
How does k-fold cross validation work?
K-fold cross validation is a technique for assessing the performance of a machine learning model. It involves splitting the data into k equally sized subsets, or folds. The model is trained on k - 1 of the folds and tested on the remaining fold. This process is repeated k times, with each fold being used as the testing data exactly once. The results are then averaged to give an overall performance estimate.