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README.md
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@@ -34,8 +34,7 @@ If any packages are missing during python code execution, install them manually
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5. Run **Mass_models.py** on **FEATURES_ALL.ndjson**, **Supp1.csv**, **Supp2.xlsx**
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6. Run **predict_dir.py** to generate predictions for all trained models on FASTA genomes. If files provided, annotate predictions with ground truth from the TSV file, and report metrics separately for Isolate and MAG genomes.
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Example run settings:
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```python
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python3 80_20_split_fixed.py
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--ndjson FEATURE_ALL.ndjson
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5. Run **Mass_models.py** on **FEATURES_ALL.ndjson**, **Supp1.csv**, **Supp2.xlsx**
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6. Run **predict_dir.py** to generate predictions for all trained models on FASTA genomes. If files provided, annotate predictions with ground truth from the TSV file, and report metrics separately for Isolate and MAG genomes.
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Example run settings (All resutls were obtained using seed=42):
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```python
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python3 80_20_split_fixed.py
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--ndjson FEATURE_ALL.ndjson
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