evaluate_models {fastml} | R Documentation |
Evaluate Models Function
Description
Evaluates the trained models on the test data and computes performance metrics.
Usage
evaluate_models(models, train_data, test_data, label, task, metric = NULL)
Arguments
models |
A list of trained model objects. |
train_data |
Preprocessed training data frame. |
test_data |
Preprocessed test data frame. |
label |
Name of the target variable. |
task |
Type of task: "classification" or "regression". |
metric |
The performance metric to optimize (e.g., "accuracy", "rmse"). |
Value
A list of performance metrics for each model.
[Package fastml version 0.2.0 Index]