Cryptocurrency_Scam_Dataset_for_DQN_Models

This dataset, titled "Cryptocurrency Scam Dataset for DQN Models," contains transaction records potentially used for detecting scams or fraudulent activities in cryptocurrency transactions. It consists of 1,245 rows and 13 columns with the following features:

- Transaction_Value: The value of the transaction.
- Transaction_Fees: Fees associated with the transaction.
- Number_of_Inputs: Number of inputs in the transaction.
- Number_of_Outputs: Number of outputs in the transaction.
- Gas_Price: Cost of executing the transaction.
- Wallet_Age_Days: Age of the wallet in days.
- Wallet_Balance: Balance of the wallet involved in the transaction.
- Transaction_Velocity: Frequency of transactions within the wallet.
- Exchange_Rate: Cryptocurrency exchange rate at the time of transaction.
- Is_Scam: Binary label indicating whether the transaction is part of a scam (1) or not (0).
- Action: Action taken based on the transaction (e.g., flagging for investigation).
- Reward: A reward metric, possibly indicating model-based feedback.
- Predicted_Action: Predicted actions (currently missing data for this column).