Balanced optiml script

Balanced optiml script | BigML.com

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Balanced OptiML Script

Details:

Created	Thu, 8 Oct 2026 14:59:30 +0000
Published	Thu, 8 Oct 2026 17:26:38 +0000

Description:

Applying undersampling techniques for datasets that contain a rare class before building OptiMLs. The result is a list of OptiMLs built on a collection of undersampled datasets and the unbalanced test data to do the final evaluation.

Tags:

BigMLer BigMLer_ThuOct0826_165926

URL:

https://bigml.com/user/whizzml/gallery/script/6ac7afd2a5882b68cc0a0836

Script FREE

Source code

;; Requires importing the bal-optiml-library

;; New project to contain the generated resources
(define project (create-project {"name" "Balanced OptiMLs"}))

;; [train-dataset validation-dataset test-dataset] collection
;; The proportion of instances for the positive class and the rest is
;; identical to the one in the original dataset for all of them.
(define train-val-test-split (positive-stratified-split-fn dataset-id
                                                           training-rate
                                                           objective-field
                                                           positive-class
                                                           project))


;; List of undersampled datasets built by keeping all the instances for the
;; positive class and randomly sampling the same amount of instances from the
;; rest of data using different seeds. The proportion between negative vs.
;; positive class instaces can also be defined.
(define undersampled-dss (undersample-fn (head train-val-test-split)
                                         number-of-samples
                                         objective-field
                                         positive-class
                                         proportion))

;; Outputs

;; List of OptiMLs generated from the collection of undersampled datasets.
;; Optimization is for the given metric and positive class and validation
;; uses the validation dataset
(define undersampled-optimls (map
  (lambda (uds) (optimls-fn uds
                            objective-field
                            metric
                            positive-class
                            (train-val-test-split 1)
                            optiml-config))
  undersampled-dss))

(define unbalanced-test-ds (train-val-test-split 2))
(define unbalanced-train-ds (train-val-test-split 0))
(define unbalanced-validation-ds (train-val-test-split 1))

(define unbalanced-optiml (optimls-fn unbalanced-train-ds
                                      objective-field
                                      metric
                                      positive-class
                                      unbalanced-validation-ds
                                      optiml-config))

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License: Creative Commons Zero V1.0
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