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README.md
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# Tourism Purchase Prediction Model
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This model predicts whether a customer will purchase the Wellness Tourism Package.
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---
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language: en
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tags:
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- machine-learning
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- classification
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- sklearn
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- random-forest
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- mlops
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license: mit
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datasets:
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- Satyanjay/Tourism_Project_Processed
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metrics:
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- accuracy
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---
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# Tourism Purchase Prediction Model
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## 📌 Overview
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This model predicts whether a customer will purchase the Wellness Tourism Package.
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## ⚙️ Model Details
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- Algorithm: Random Forest Classifier
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- Framework: Scikit-learn
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- Experiment Tracking: MLflow
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## 📊 Performance
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- Accuracy: 0.89
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- Recall (Class 1): 0.52
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## 📂 Dataset
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- Source: Hugging Face Dataset Hub
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- Dataset: Satyanjay/Tourism_Project_Processed
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## 🚀 Usage
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```python
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from huggingface_hub import hf_hub_download
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import joblib
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model_path = hf_hub_download(
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repo_id="Satyanjay/Tourism_Model",
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filename="best_model.pkl"
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)
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model = joblib.load(model_path)
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