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Fraud_​ANN_​new

EXAMPLE 1: Consider the datasets 'A_fraud_train.csv' and 'A_fraud_test.csv', which include behavioural data of customers of a retail bank. Some customers included in the dataset are related to fraudulent activity on their bank account (consider the variable FLG_FRAUD, where 1="fraud" and0="otherwise"). The average cost of a fraud incident is $50,000, while the estimated investigation cost of identifying a potential fraud (that later turns out tobe a false positive) is $400.The bank's objective is to predict possible frauds before they occur and to take appropriate countermeasures to stop the most likely frauds. To achieve thisobjective, 3 different models: Simple Decision Tree, Multi-Layer Perceptron and Random Forest. Target varunbalanced distribTarget varbalanced distribModel 3 metanodeVariable conversionModel 2 metanodeModel 1 metanodeSmotebalancingTrain setTest setVariable conversion Value Counter Value Counter Random Forest Number to String Concatenate MLP Compare results Decision Tree Balancing CSV Reader CSV Reader Number to String EXAMPLE 1: Consider the datasets 'A_fraud_train.csv' and 'A_fraud_test.csv', which include behavioural data of customers of a retail bank. Some customers included in the dataset are related to fraudulent activity on their bank account (consider the variable FLG_FRAUD, where 1="fraud" and0="otherwise"). The average cost of a fraud incident is $50,000, while the estimated investigation cost of identifying a potential fraud (that later turns out tobe a false positive) is $400.The bank's objective is to predict possible frauds before they occur and to take appropriate countermeasures to stop the most likely frauds. To achieve thisobjective, 3 different models: Simple Decision Tree, Multi-Layer Perceptron and Random Forest. Target varunbalanced distribTarget varbalanced distribModel 3 metanodeVariable conversionModel 2 metanodeModel 1 metanodeSmotebalancingTrain setTest setVariable conversion Value Counter Value Counter Random Forest Number to String Concatenate MLP Compare results Decision Tree Balancing CSV Reader CSV Reader Number to String

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Created by: Vale
Created at: 2017-04-25
On NodePit since: 2025-11-05
Last update: 2025-11-05
Created with KNIME version: v5.3.3

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