Final Model Evaluation (Months 6 & 7)

Trains the winning strategy on the full training set (Months 0-5) and evaluates it on the unseen test set (Months 6-7).

Usage

evaluate_final_model(
  params,
  bucket_name = "lake",
  inputs_prefix = "baf-fraud/05_model_input"
)

Arguments

params

A named list of LightGBM hyperparameters with elements: trees, tree_depth, learn_rate, loss_reduction, min_n.

bucket_name

Character. Bucket name. Default "lake".

inputs_prefix

Character. Model input prefix. Default "05_model_input".

Value

A tibble with columns truth, prob, and pred_class.