score_df {ppsr} | R Documentation |
Calculate predictive power scores for whole dataframe
Iterates through the columns of the dataframe, calculating the predictive power
score for every possible combination of x
and y
.
Description
Calculate predictive power scores for whole dataframe
Iterates through the columns of the dataframe, calculating the predictive power
score for every possible combination of x
and y
.
Usage
score_df(df, ..., do_parallel = FALSE, n_cores = -1)
Arguments
df |
data.frame containing columns for x and y |
... |
any arguments passed to |
do_parallel |
bool, whether to perform |
n_cores |
numeric, number of cores to use, defaults to maximum minus 1 |
Value
a data.frame containing
- x
the name of the predictor variable
- y
the name of the target variable
- result_type
text showing how to interpret the resulting score
- pps
the predictive power score
- metric
the evaluation metric used to compute the PPS
- baseline_score
the score of a naive model on the evaluation metric
- model_score
the score of the predictive model on the evaluation metric
- cv_folds
how many cross-validation folds were used
- seed
the seed that was set
- algorithm
text shwoing what algorithm was used
- model_type
text showing whether classification or regression was used
Examples
score_df(iris)
score_df(mtcars, do_parallel = TRUE, n_cores = 2)