What is a popular knowledge discovery model validation technique?
A)Root mean squared error (RMSE).
B)K-means clustering.
C)N-fold cross-validation.
D)Random sampling.
E)Correlation coefficients.

Question

Quizplus · Accepted Answer

N-fold cross-validation is a widely used technique for validating and testing knowledge discovery models. It involves partitioning the data into N equal subsets, where N-1 subsets are used for training the model, and the remaining subset is used for testing. This process is repeated multiple times, with each subset serving as the testing set at least once. The performance is then averaged across all iterations to obtain a reliable estimate of the model's predictive power.

What Is a Popular Knowledge Discovery Model Validation Technique