Shivani1223
/

visitwithus-wellness-model

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VisitWithUs — Wellness Package Purchase Predictor

Model repo: visitwithus-wellness-model
Model type: RandomForestClassifier inside sklearn Pipeline

Usage

Input features: ['Age', 'NumberOfPersonVisiting', 'PreferredPropertyStar', 'NumberOfTrips', 'MonthlyIncome', 'PitchSatisfactionScore', 'NumberOfFollowups', 'DurationOfPitch', 'NumberOfChildrenVisiting', 'TypeofContact', 'CityTier', 'Occupation', 'Gender', 'MaritalStatus', 'ProductPitched', 'Designation', 'Passport', 'OwnCar']
Output: probability (0-1) of purchase.

Metrics (on test set)

AUC: 0.9712

Limitations

Trained on historical data. Biased history may bias predictions.
Use as decision support; combine with business rules.

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