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Description

  • Update features to increase the fraud detection accuracy.
  • Add feature analysis charts (feature importance)
  • Fix data split to be temporal, instead of random sampling.

Resolves #978

How was this PR tested?

notebook pytest

Does this PR introduce any user-facing changes?

  • No. You can skip the rest of this section.
  • Yes. Make sure to clarify your proposed changes.

@loomlike loomlike added the safe to test Tag to execute build pipeline for a PR from forked repo label Jan 18, 2023
@blrchen blrchen merged commit 31b2a45 into feathr-ai:main Jan 20, 2023
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[BUG] Update Fraud Detection example notebook

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