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03_​Keras_​Autoencoder_​for_​Fraud_​Detection_​Training

Keras Autoencoder for Fraud Detection Training
Keras Autoencoder Architecture Data Preprocessing Training the Autoencoder Train a Keras autoencoder model for fraud detection Optimizing threshold K Final Performance Top:Class = 02/3 of negativesfor training1/3 of negativesand all positivesfor validationMin-max normalizationClassifytransactions based onthreshold10 % for validationWrite modelShape: 30Units: 40Activation: SigmoidUnits: 20Activation: SigmoidUnits: 8Activation: SigmoidUnits: 20Activation: SigmoidUnits: 40Activation: SigmoidUnits: 30Activation: SigmoidTrain with Loss function=MSEOptimizer=AdamApply networkNormalizer for deploymentRead credit card datathreshold.tableRow Splitter Partitioning Concatenate Normalizer Rule Engine Normalizer (Apply) Partitioning Keras NetworkWriter Scorer (JavaScript) Normalizer (Apply) ThresholdOptimization Math Formula Keras Input Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Keras NetworkExecutor Model Writer Variable toTable Row CSV Reader Table Writer Keras Autoencoder Architecture Data Preprocessing Training the Autoencoder Train a Keras autoencoder model for fraud detection Optimizing threshold K Final Performance Top:Class = 02/3 of negativesfor training1/3 of negativesand all positivesfor validationMin-max normalizationClassifytransactions based onthreshold10 % for validationWrite modelShape: 30Units: 40Activation: SigmoidUnits: 20Activation: SigmoidUnits: 8Activation: SigmoidUnits: 20Activation: SigmoidUnits: 40Activation: SigmoidUnits: 30Activation: SigmoidTrain with Loss function=MSEOptimizer=AdamApply networkNormalizer for deploymentRead credit card datathreshold.tableRow Splitter Partitioning Concatenate Normalizer Rule Engine Normalizer (Apply) Partitioning Keras NetworkWriter Scorer (JavaScript) Normalizer (Apply) ThresholdOptimization Math Formula Keras Input Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Keras NetworkExecutor Model Writer Variable toTable Row CSV Reader Table Writer

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Created by: Maarit Laukkanen
Created at: 2019-02-25
On NodePit since: 2019-07-26
Last update: 2024-04-23
Created with KNIME version: v4.5.0
Tags: autoencoderKerasneural networkbackpropagationdeep learningencoderdecoderreconstructioncredit card datafraud detectionanomaly detectiongenerative modelmodel trainingmodel evaluationbankingcredit cardfraudcybersecurityPracticing Data Science

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