Name: Urmil
Class: A3
Course: Computers
Faculty name: Vaibhav Vasani
College: K. J. Somaiya College of Enginnering
Details: I have implemented this paper as an assignment of college from a technical paper attached as paper.pdf, this is not my creation so may be wrong and is only 50% implemented
Outputs:
1: majority and minority dataset distinguished
2: majority and minority dataset plots
3: k means cluster for feature 1 and 2 for minority dataset
Steps to execute the code.py:
.Put the code.py and creditcard.csv file from archive.zip in same folder
.pip install the required packages(opencv, pandas, matplotlib, sklearn
.Run the code file
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The question of class imbalance has become more pronounced with the application of learning algorithms in real applications. It has received significant attention in the machine learning and data mining community. This problem is present in fraud detection, medical diagnostics, and a number of other areas where training data contains significant…
YouNova/improving_dataset_for_fraud_detection_algorithms
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The question of class imbalance has become more pronounced with the application of learning algorithms in real applications. It has received significant attention in the machine learning and data mining community. This problem is present in fraud detection, medical diagnostics, and a number of other areas where training data contains significant…
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