Boston Housing Classification Model

Trained automatically using a Random Forest classifier.

The Boston Housing dataset is converted into a binary classification problem.

Metrics

  • accuracy: 0.9118
  • precision: 0.9184
  • recall: 0.9000
  • f1: 0.9091
Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support