aaarchitha7/kcat-km-model-v4

AI model by aaarchitha7

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This is a starter model for the joint kcat–Km task. You train a model on your computer and upload it to a public Hugging Face (HF) model repository. Then you submit that repository to the Leak CURBER leaderboard. A free HF account is enough. The input is a Parquet file with the columns id, smiles, and sequence. The output is a CSV file: Predict both base-10 logged values. Do not exponentiate them. The public data are train.parquet (with labels) and valinputs.parquet (inputs only). Validation labels and test data are private. We compute the Spearman rank correlation (SCC) and RMSE for each target. The leaderboard ranks by mean SCC, the average of the two SCCs. A higher value ranks higher. Equal scores favor the earlier submission. The baseline fits a ridge regression with two outputs, one for each target. Its features are the sequence length, the SMILES length, the amino acid…

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Model overview

aaarchitha7/kcat-km-model-v4 is a task-unspecified model repository published by aaarchitha7 on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: mit
Access: Not gated by Hugging Face
Created: 2026-11-01T06:23:36.000Z
Last modified: 2026-11-01T06:23:45.000Z

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