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{"features": ["Full Description", "Group", "Account", "Institution"], "targets": ["target"], "model_type": "logistic_regression", "target_mapping": {"App Building": 0, "Car Insurance": 1, "Car Payment": 2, "Date-Night": 3, "Eating Out": 4, "Fees": 5, "Gaming": 6, "Gas": 7, "Gift": 8, "Groceries": 9, "HSA": 10, "Joyful Noise": 11, "Lunch&Snacks": 12, "Mikal's Paycheck": 13, "Misc": 14, "Misc Auto Expenses": 15, "Nick's Paycheck": 16, "Nicotine": 17, "Retirement": 18, "Shopping": 19, "Software": 20, "Spotify": 21, "Transfer": 22, "Vision": 23, "Vitamins&NooTropics": 24, "Xfinity Internet": 25, "Xfinity Mobile": 26, "car payment": 27, "credit building": 28, "fees": 29, "gaming": 30, "gift": 31, "kratom": 32, "mental": 33, "misc auto expenses": 34, "nicotine": 35, "shopping": 36, "x": 37}} |