Statistical significance is best used for establishing group differences. ML is used for individual datapoint classification. If you have 75% accuracy in a reasonably sized dataset, it's trivial to include a p-value to establish statistical significance, but it may not be impressive by ML standards (depending on the task).
Statistical significance is best used for establishing group differences. ML is used for individual datapoint classification. If you have 75% accuracy in a reasonably sized dataset, it's trivial to include a p-value to establish statistical significance, but it may not be impressive by ML standards (depending on the task).