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Enhance error handling, logging, and add .gitignore for exclusions #2

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Enhance error handling, logging, and add .gitignore for exclusions #2

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e3230e7
Improve error handling for missing joblib module and enhance logging …
random-guy-05 Mar 31, 2026
b542cd3
Add .gitignore file to exclude unnecessary files and directories
random-guy-05 Apr 1, 2026
9e42156
Add .gitignore file to exclude unnecessary files and directories
random-guy-05 Apr 1, 2026
5e8ada9
Refactor model training and evaluation logic; add voting ensemble cla…
random-guy-05 Apr 1, 2026
c1390f5
Add a blank line before the normalize_identifier function for improve…
random-guy-05 Apr 1, 2026
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13 changes: 13 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
.DS_Store
__pycache__/
*.py[cod]

.venv/
.venv311/
.venv313/

model/
holdout_outputs/
training_data/
holdout_data/
scores.txt
4 changes: 2 additions & 2 deletions evaluate_model.py
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Expand Up @@ -83,10 +83,10 @@ def standardize_bool(val):
label = df_labels.loc[patient, id_labels]
labels[i] = label
if patient in df_predictions.index: # Set missing predictions to 0.
binary_prediction = float(df_predictions.loc[patient, id_binary_predictions])
binary_prediction = float(np.real(df_predictions.loc[patient, id_binary_predictions]))
if binary_prediction == 0 or binary_prediction == 1: # Set invalid binary predictions to 0.
binary_predictions[i] = binary_prediction
probability_prediction = float(df_predictions.loc[patient, id_probability_predictions])
probability_prediction = float(np.real(df_predictions.loc[patient, id_probability_predictions]))
if np.isfinite(probability_prediction): # Set invalid probability predictions to 0.
probability_predictions[i] = probability_prediction

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