metadata
tags:
- sklearn
- random-forest
- mlops-pipeline
- boston
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