summarize_accuracy_metrics function

Summarize Accuracy Metrics

This is an internal function used by modeltime_accuracy().

summarize_accuracy_metrics(data, truth, estimate, metric_set)

Arguments

• data: A data.frame containing the truth and estimate columns.
• truth: The column identifier for the true results (that is numeric).
• estimate: The column identifier for the predicted results (that is also numeric).
• metric_set: A yardstick::metric_set() that is used to summarize one or more forecast accuracy (regression) metrics.

Examples

library(dplyr)

predictions_tbl <- tibble(
    group = c("model 1", "model 1", "model 1",
              "model 2", "model 2", "model 2"),
    truth = c(1, 2, 3,
              1, 2, 3),
    estimate = c(1.2, 2.0, 2.5,
                 0.9, 1.9, 3.3)
)

predictions_tbl %>%
    group_by(group) %>%
    summarize_accuracy_metrics(
        truth, estimate,
        metric_set = default_forecast_accuracy_metric_set()
    )