Instructions to use navya608/random-forest-fraud-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navya608/random-forest-fraud-detection with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("navya608/random-forest-fraud-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Random Forest Fraud Detection Model
This is a Random Forest model trained to detect fraudulent transactions.
Usage
from transformers import pipeline
classifier = pipeline("fraud-detection", model="your-username/random-forest-fraud-detection")
data = {
"CustomerAge": 45,
"POSWEBLimit": 2000,
"CreditLimit": 5000,
"Amount": 1500,
"AverageIncomeExpendicture": 3000,
"BalanceChange": -500,
"AmountToCreditLimitRatio": 0.3,
"IsMale": 1,
"Marital Status": "Single",
"Cards": "Visa",
"CardColour": "Gold",
"CardType": "Credit",
"TransactionType": "Debit",
"Domain": "Retail",
"ATM": "No"
}
result = classifier(data)
print(result)
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