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README.md
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language: en
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tags:
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# Tourism Purchase Prediction Model
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##
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This model predicts whether a customer will purchase the Wellness Tourism Package.
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##
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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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##
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- Accuracy: 0.
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- Recall (Class 1): 0.52
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##
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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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---
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language: en
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tags:
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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: 0.897
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- Recall (Class 1): 0.52
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## Dataset
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- Satyanjay/Tourism_Project_Processed
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## Usage
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Use huggingface_hub to download and load the model.
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