> For the complete documentation index, see [llms.txt](https://eigenmaps.gitbook.io/eizen-observability/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://eigenmaps.gitbook.io/eizen-observability/resources/product-faqs.md).

# Product FAQs

### What data types does Eizen Observability support? <a href="#o36qa8vb2k5h" id="o36qa8vb2k5h"></a>

Eizen Observability supports tabular/structured data types (strings, floats, booleans, etc), as well as embedding support for NLP, Image, and other unstructured data types.

### What model types does Eizen Observability support? <a href="#ylrh5byg5hnh" id="ylrh5byg5hnh"></a>

Eizen Observability supports Binary Classification, Multi-Class Classification, Time Series, Prediction and Detection.

### What evaluation metrics does EM Observability support? <a href="#y0r9o66gg24j" id="y0r9o66gg24j"></a>

Eizen Observability supports Accuracy, Recall, Precision, F- 1 Score, False Positive Rate(FPR) and False Negative Rate(FNR), Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-Squared (Coefficient of Determination), Adjusted R-Squared and Mean Absolute Percentage Error (MAPE).

### How does Eizen Observability calculate data drift? <a href="#booc353l4465" id="booc353l4465"></a>

Eizen Observability calculates the data drift by comparing the production data with a baseline dataset and notify you when the drift is detected.

### How does Eizen Observability log our model inferences? <a href="#z38hn360vn06" id="z38hn360vn06"></a>

Eizen Observability provides a module to integrate with your model APIs to get the model inferences and log in the interface.