Sklearn Voting Classifier icon

Sklearn Voting Classifier

Ensemble voting classifier combining multiple models

Actions2

Predict

AI-generated

Summary

Predict new samples using a trained sklearn voting classifier model.

Inputs

  • modelData (required) — JSON string containing the trained model
  • predictFeatureColumns (required) — Comma-separated list of feature column names
  • pythonPath — Path to Python executable with scikit-learn installed

Output shape

array of prediction objects

Each object includes a 'prediction' field; if voting='soft' it also includes a 'probabilities' field.

Examples

Example 1: Classify new customer records

modelData = '<base64‑encoded pickled model>'; predictFeatureColumns = 'age,income,gender'

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