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robil/siagaai-flood-risk-model
siagaai-flood-risk-model is a machine learning model from robil. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Model prediksi risiko banjir untuk 47 kota utama di Indonesia, dikembangkan sebagai bagian dari sistem SiagaAI.
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Updated Jun 6, 2026
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.pkl13.5 MB · 100%
From the Hugging Face model README
Model prediksi risiko banjir untuk 47 kota utama di Indonesia, dikembangkan sebagai bagian dari sistem SiagaAI.
| Attribute | Value |
|---|---|
| Model type | Random Forest Classifier |
| Version | 20260521_0852 |
| Training samples | 22,980 |
| Features | 17 |
| Classes | aman, awas, siaga, waspada |
| Metric | Value |
|---|---|
| Accuracy | 0.9915 |
| F1 Weighted | 0.9915 |
| F1 Macro | 0.9886 |
| ROC-AUC (OvR) | 0.9999 |
| Class | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
| aman | 0.9735 | 0.9946 | 0.9840 | 185 |
| awas | 0.9959 | 0.9951 | 0.9955 | 1231 |
| siaga | 0.9784 | 0.9861 | 0.9822 | 505 |
| waspada | 0.9966 | 0.9889 | 0.9927 | 899 |
drainage_scorerainfall_3hhumidityelevation_msaturation_index| Level | Description |
|---|---|
| aman | Kondisi normal, tidak ada risiko signifikan |
| waspada | Risiko mulai meningkat, pantau kondisi cuaca |
| siaga | Risiko cukup tinggi, bersiap evakuasi |
| awas | BAHAYA — risiko sangat tinggi, segera evakuasi |
from huggingface_hub import hf_hub_download
import joblib
# Download model
model = joblib.load(hf_hub_download(
repo_id="robil/siagaai-flood-risk-model",
filename="flood_risk_model.pkl"
))
| File | Description |
|---|---|
| flood_risk_model.pkl | Trained Random Forest model |
| feature_scaler.pkl | StandardScaler untuk fitur |
| label_encoder.pkl | LabelEncoder untuk kelas risiko |
| model_metadata.json | Metrics, hyperparameters, metadata |