Fraud Detection Using AI (Knime Application)

i have implemented a keras autoencoder in knime and i am feeding it data with no anomalies yet its predicting some as fraud which is not correct i need someone to help me fix that and make sure it gives me 100% accuracy when the autoencoder is only fed data with no anomalies.

Compétences : KNIME, Machine Learning (ML), Intelligence Artificielle, Deep Learning

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Nº du projet : #28274563