Reference
The Reference section stores all the information (statistics, model metrics and charts) related to the reference dataset. Throughout the platform, all the reference information is gray-coloured.
Data Quality​
The Data Quality dashboard contains a descriptive analysis of the reference variables. It adapts itself accordingly to the model type and shows information such as:
- Number of observations
- Number of classes (not in regression task)
- Ground Truth Distribution
- Histograms for Numerical Features
- Descriptive Statistics for Numerical Features (average, standard deviation, ranges, percentiles, missing values)
- Bar Charts for Categorical Features
- Descriptive Statistics for Categorical Features(missing values, distinct values, frequencies)
Model Quality​
The Model Quality dashboard contains all the metrics used to evaluate the model performance. Many of them are computed through the prediction
/probability
compared to the ground truth
. Naturally, the platform computes the proper metrics according to the chosen Model Type
.
Import​
The Import section lists the path where your reference CSV is stored. If you have a private AWS, the file will be saved in a dedicated S3 bucket otherwise, it will be saved locally with Minio (which shares the same syntax as S3). To see your reference dataset stored in Minio, visit the address http://localhost:9091.