A model card provides brief, transparent, responsible reporting for a trained machine learning model.
The training dataset for this model was …
The training dataset for this model has the “prototype” or signature:
## Rows: 0
## Columns: 4
## $ type <fct>
## $ sqft <int>
## $ beds <int>
## $ baths <dbl>
The evaluation dataset used in this model card is …
We chose this evaluation data because …
## # A tibble: 3 × 3
## .metric .estimator .estimate
## <chr> <chr> <dbl>
## 1 rmse standard 60704.
## 2 rsq standard 0.794
## 3 mae standard 46260.
## # A tibble: 9 × 4
## type .metric .estimator .estimate
## <fct> <chr> <chr> <dbl>
## 1 Condo rmse standard 36103.
## 2 Multi_Family rmse standard 64656.
## 3 Residential rmse standard 61833.
## 4 Condo rsq standard 0.777
## 5 Multi_Family rsq standard 0.436
## 6 Residential rsq standard 0.789
## 7 Condo mae standard 26204.
## 8 Multi_Family mae standard 54929.
## 9 Residential mae standard 47357.