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Dataset assetOpen Source CommunityBanknote AuthenticationBinary Classification
Banknote Dataset
This dataset involves predicting whether a given banknote is genuine based on several measurements extracted from photographs. It is a binary classification problem with imbalanced class distributions.
Source
github
Created
Nov 26, 2022
Updated
Nov 26, 2022
Signals
158 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Name
- Name: Bank_Note_Authentication
Purpose
- Goal: Predict whether a given banknote is genuine using measurement data extracted from photographs.
Type
- Type: Binary classification problem
Characteristics
- Class Balance: Imbalanced, with unequal numbers of observations per class.
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