Overview
The Overview is the section dedicated to the information recap of your reference dataset and your last current dataset, and it helps users to quickly assess the differences and monitor the data shapes.
Summary​
The Summary table provides a side-by-side comparison of key metrics between the current and reference datasets:
- Number of variables
- Number of observations
- Missing Values
- Missing Values (%)
- Duplicated rows
- Duplicated rows (%)
- Number of numerical columns
- Number of categorical columns
- Number of Datetime columns
Variables​
The Variables table lists all the columns flagged as feature
or ground truth
. That's the reason why we have chosen this name. Each field presents with its own type while the ground truth
is flagged properly.
For the meaning of the column Field Type
see the Hands-On Guide.
Output​
The Output table lists all the columns flagged as probability
or prediction
and it has to include all the fields produced by your model. Each field presents with its own type while the probability
and the prediction
are flagged properly.