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Release: Australia · Updated: 2026-03-12 · Official documentation · View source

Remove others label

Reduce noise in your classification model and enhance predictive accuracy by removing records with the label "others" from training data. These are records with a distribution frequency of under one percent.

Before you begin

Role required: ml_admin or admin

About this task

When this option is set to true, records under 1% of total data distribution are excluded from training. These records are labeled "others" in the interface. The 1% threshold can't be modified.

You can add this option in the solution definition form by using the following procedure. Alternatively, you can use a script to add this option.

To add this option using a script:

config.removeOthersLabel(true);

In JSON format:

{
    "remove_others_label": true
    }

Procedure

  1. To add this option in the solution definition form, navigate to All > Predictive Intelligence > Classification > Solution Definitions.

  2. Open an existing classification solution or create a new one.

  3. Select the Advanced Solution Settings tab in the Related Links section of the form.

  4. Select New to open the Advanced Solution Setting (ml_advanced_solution_settings) form.

  5. In the Solution Parameters field, search for Remove others label, then select Submit to save your update.

Image omitted: predictive-intel-remove-others-labelZ1.png
On the Advanced Solution Setting form, in the Solution Parameters field, Remove others label is selected.

Result

The setting appears as a row on the Advanced Solution Setting tab on your solution's form.

What to do next

Retrain your solution.

Parent Topic:Configuring advanced settings for your ML solutions

Related topics

Using Machine Learning APIs

Create and train a classification solution