---
updatedAt: 2026-06-25T22:42:04.000Z
agentTools:
  projectIndex: https://docs.getmontecarlo.com/llms.txt
---

# Unchanged Size Detector

Monte Carlo’s unchanged size detector looks at the times and time intervals between size updates to your tables. Volume data arrives from the warehouse/lake metadata and the detector alerts you when a table did not change in size for a period which is unusually long.

Part of our time-series preprocessing includes classification into several categories such as: ETL / non-ETL updated tables, weekend patterned tables, and uni / multi-modal update patterns.

Our models take into account a 6 week moving window of training data, removes outliers based on the number of samples and calculates features from the time-series which are then used together with the pre-processing features into deciding the alert threshold for the table.

In order to achieve faster model updating based on the patterns we see our unchanged size model is re-trained with new data every 6H as well as performs a state-change detection analysis in order to find if there was a change in the update pattern. If we find such a change all the above described features are calculated only for the last 2 weeks of the training window.

## Fine Tuning the Models

On the Asset page, you can change the model's sensitivity by clicking `View Details`, followed by the `Edit threshold sensitivity` button. This change will either increase or decrease the confidence interval. By default, all thresholds are set to Medium sensitivity. [Learn more about sensitivity here](https://docs.getmontecarlo.com/docs/sensitivity-settings).