---
library_name: scikit-learn
tags:
- random-forest
- classification
- uber
- machine-learning
pipeline_tag: text-classification
---

# RandomForestClassifier — Uber Completion (Optimized)

Modelo supervisado para predecir el **EstadoUber** (0=Cancelado, 1=Completado)
derivado de `Booking Status`.

## Métricas (test)
- Accuracy: 0.9549
- AUC-ROC: 0.9893
- Matriz de confusión: ver `metrics.json`

## Hiperparámetros (GridSearch)
{
  "max_depth": 15,
  "max_features": "sqrt",
  "min_samples_leaf": 4,
  "min_samples_split": 2,
  "n_estimators": 15
}

## Características usadas
[
  "Vehicle_Bike",
  "Vehicle_Go Mini",
  "Vehicle_Go Sedan",
  "Vehicle_Premier Sedan",
  "Vehicle_Uber XL",
  "Vehicle_eBike",
  "Pay_Credit Card",
  "Pay_Debit Card",
  "Pay_NoPayment",
  "Pay_UPI",
  "Pay_Uber Wallet",
  "Ride Distance",
  "Booking Value",
  "Avg CTAT"
]