File size: 863 Bytes
05ce1a8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
---
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"
]
|