553.553. Data Drift Detection

Data Drift Detection

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In this problem, you will implement a data drift detection system to identify changes in the distribution of a dataset over time. The system should be able to calculate the Kolmogorov-Smirnov statistic (D) and the p-value associated with it.

Example:

Suppose we have a dataset of house prices and we want to detect any changes in the distribution of prices over time.

Constraints:

The dataset should be split into two parts: the training set and the test set. The Kolmogorov-Smirnov statistic should be calculated over the two sets.