Datasetpublic

jyunyilin/credit-card-fraud-detection

Credit Card Fraud Detection – Processed Dataset This dataset contains preprocessed credit card transaction data prepared for fraud detection tasks. Data Description The dataset is derived from anonymized transaction records and includes numerical features (V1–V28), transaction amount, and time-based information. Preprocessing Steps Feature scaling and normalization Handling class imbalance Feature selection based on correlation analysis Removal of… See the full description on the dataset page: https://huggingface.co/datasets/jyunyilin/credit-card-fraud-detection.

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Dataset Card

Credit Card Fraud Detection – Processed Dataset

This dataset contains preprocessed credit card transaction data prepared for fraud detection tasks.

Data Description

The dataset is derived from anonymized transaction records and includes numerical features (V1–V28), transaction amount, and time-based information.

Preprocessing Steps

—Feature scaling and normalization
—Handling class imbalance
—Feature selection based on correlation analysis
—Removal of irrelevant identifiers

Dataset Structure

The dataset provides a single split:

—train: processed transaction records

Columns

Column Name	Description
Time	Time elapsed between transactions
Amount	Transaction amount
V1–V28	Anonymized PCA-transformed features
Class	Target label (1 = Fraud, 0 = Legitimate)

Intended Use

—Fraud detection modeling
—Explainable AI (SHAP) demonstrations
—Streamlit / Hugging Face Spaces applications

Usage Example

python

from datasets import load_dataset

dataset = load_dataset("jyunyilin/credit-card-fraud-detection")
df = dataset["train"].to_pandas()
print(df.head())