E2E Decision Tree API: Multi-Dataset Inference

An end-to-end machine learning system deploying Scikit-Learn decision tree classifiers trained on Wine Quality, Breast Cancer, and Adult Income datasets. The inference API is built with Python FastAPI and deployed on DigitalOcean, providing real-time classification, decision path traversal, and structured JSON response payloads.

Model Input Parameters

Adjust attributes using sliders and select buttons.

Alcohol Percentage 8.8%
8.0%15.0%
pH Level 3.00
2.724.01
Density 1.0010
0.9871.040
Residual Sugar 20.7 g/L
0.666.0
Volatile Acidity 0.27
0.081.60
Total Sulfur Dioxide 170 ppm
6.0440.0

Prediction Evaluation

Live model decision classification output.

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Awaiting parameters...

Adjust parameters on the left and submit to trigger backend classification model.