digest: Summarize the results from an experiment object
| digest | R Documentation |
Summarize the results from an experiment object
Description
Sumarizes the results of an experiment object of the type 'obj$classifier' and 'obj$crossval'. This is different from the digestMC(), which sumarizes a model collection obj$models
Usage
digest(
obj,
penalty = NULL,
best.cv = TRUE,
best.k = NULL,
plot = FALSE,
omit.na = TRUE
)
Arguments
obj: |
The experiment object resulting from the learning process 'fit()' |
penalty: |
A coefficient between 0 and 1, which is applied to penalize the performance of models as a consequence of model-size. We use this to select the best model of the population of models (default:NULL) |
best.cv: |
Should we chose the best model based on information learnerd cross validation (default:TRUE). This will work if the crossvalidation data is available. If not the best model will be selected with empirical results. |
best.k: |
If we do not wish to let the algorithm select the model size, we can fix this by setting the best.k with an integer indicating the number of variables in the model (default:NULL). |
plot: |
Should the digested results be plotted ? (default:FALSE) |
omit.na: |
Omit data with empty results (default:TRUE) |
Value
an object with digested information such as the best models for each model-size, their respective scores, the best model.
