Ensemble Model
PredictPrice: $0.05/callLatency: <1msComplexity: O(m)
Quick scenarios
Combine predictions from 4 different models using weighted voting. Returns consensus value with uncertainty quantification.
Click "Run Algorithm" to see results
cURL
curl -X POST https://oraclaw-api.onrender.com/api/v1/predict/ensemble \
-H "Content-Type: application/json" \
-d '{"predictions":[{"modelId":"linear","prediction":0.72,"confidence":0.85,"historicalAccuracy":0.78},{"modelId":"forest","prediction":0.68,"confidence":0.9,"historicalAccuracy":0.82},{"modelId":"neural","prediction":0.75,"confidence":0.7,"historicalAccuracy":0.85},{"modelId":"bayesian","prediction":0.71,"confidence":0.88,"historicalAccuracy":0.8}],"method":"weighted-voting"}'Input Schema
predictions: Array of {modelId, prediction, confidence, historicalAccuracy?}
method: 'weighted-voting' | 'stacking' | 'bayesian-averaging'
Output Fields
consensusconfidenceweightsentropyuncertaintymodelContributions