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README.md

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-license: mit
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+# 🛡️ MongoDB Anomaly Detection with Isolation Forest
+
+Model Type: Isolation Forest  
+Contamination: 3%  
+Total Records: 50000  
+Anomalies Detected: 1500
+
+## 📊 Anomaly Detection Plot
+![Anomaly Plot](https://huggingface.co/Wipoba/anomoly_detector/resolve/main/anomaly_plot.png)
+
+## 📁 Files Included
+- model.joblib: Trained model  
+- scaler.joblib: Preprocessing scaler  
+- predictions.csv: Raw scores + anomaly labels  
+- anomaly_plot.png: Visualization of scores
+
+## 🔍 Top 5 Anomalies (Scores)
+| Index | Anomaly Score | Label |
+|-------|---------------|--------|
+| 2 | -0.0041 | -1.0 |
+| 117 | -0.0040 | -1.0 |
+| 180 | -0.0014 | -1.0 |
+| 207 | -0.0162 | -1.0 |
+| 246 | -0.0041 | -1.0 |
+
+## 🕓 Generated On: 2025-08-02 07:32:58
+
+---
+✅ Powered by Hugging Face, MongoDB, Scikit-learn