gkrishnm/tourism-package-prediction-test

--- dataset_info: features: - name: CustomerID dtype: int64 - name: Age dtype: float64 - name: TypeofContact dtype: int64 - name: CityTier dtype: int64 - name: DurationOfPitch dtype: float64 - name: Occupation dtype: int64 - name: Gender dtype: int64 - name: NumberOfPersonVisiting dtype: int64 - name: NumberOfFollowups dtype: float64 - name: ProductPitched dtype: int64 - name: PreferredPropertyStar dtype: float64 - name: MaritalStatus dtype: int64 - name: NumberOfTrips dtype: float64 - name: Passport dtype: int64 - name: PitchSatisfactionScore dtype: int64 - name: OwnCar dtype: int64 - name: NumberOfChildrenVisiting dtype: float64 - name: Designation dtype: int64 - name: MonthlyIncome dtype: float64 - name: IncomeCategory dtype: int64 - name: AgeGroup dtype: int64 - name: ProdTaken dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 151984 num_examples: 826 download_size: 29472 dataset_size: 151984 configs: - config_name: default data_files: - split: train path: data/train-* ---