Model evalreg
evalreg(dataset, pred, rvar, train = "", data_filter = "")
Dataset name (string). This can be a dataframe in the global environment or an element in an r_data list from Radiant
Predictions or predictors
Response variable
Use data from training ("Training"), validation ("Validation"), both ("Both"), or all data ("All") to evaluate model evalreg
Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
A list of results
See https://radiant-rstats.github.io/docs/model/evalreg.html for an example in Radiant
summary.evalreg
to summarize results
plot.evalreg
to plot results