Data Drift Report
Drift Report service creates a statistical report based on a comparison of training and production data distributions. It compares these two sets of data by a set of statistical tests and finds deviations.
Drift report uses multiple different tests with p=.95 for different features:
Numerical features:
- Levene's test with a trimmed mean
- Welch's t-test
- Mood's test
- Kolmogorov–Smirnov test
Categorical features:
- Chi-Square test
- Unseen categories
Right now Drift Report feature works only for Models with numerical scalar fields.
Last modified 2yr ago