score_predictors: Calculate predictive power scores for y
Calculates the predictive power scores for the specified y variable
using every column in the dataset as x, including itself.
Description
Calculate predictive power scores for y
Calculates the predictive power scores for the specified y variable
using every column in the dataset as x, including itself.
Usage
score_predictors(df, y, ..., do_parallel = FALSE, n_cores = -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
Arguments
df
data.frame containing columns for x and y
y
string, column name of target variable
...
any arguments passed to score
do_parallel
bool, whether to perform score calls in parallel
n_cores
numeric, number of cores to use, defaults to maximum minus 1