Analysis Lab

Extensive EDA for the deployed research engine

This page summarizes the curated dataset, split protocol, optimization trace, leakage-control safeguards, and held-out evaluation context behind the deployed model.

Open Interactive Lab Download Test Pack

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Dataset Profile

Class balance and curation

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Partition Protocol

Train, validation, and test composition

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Optimization Trace

Training dynamics across epochs

Accuracy Training vs validation

Loss Training vs validation

Training Validation

Held-Out Evaluation

Current internal performance

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Leakage Control

Similarity audit and duplicate handling

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Interpretation Notes

How to read this evidence responsibly

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Distance Profile

Nearest-train similarity by evaluation split

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Artifact Registry

Saved audit files and data provenance

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