Logistic Regression Model for Time Prediction

Features Used:

• child
• hct
• inr
• alb
• tb
• ascites
• hepencep
• bclcstage
• sen
• active
• pvinvade
• hvivcinvade
• treat_embolize
• treat_surgery
• sex_male
• shock_Shock
• loctumor_left_lobe
• locbleed_left_lobe
• locbleed_right_lobe

How to Use:

1. Load the model using joblib:
   python

   1import joblib 2model = joblib.load('logistic_regression_model.pkl')
2. Make predictions:
   predictions = model.predict(X_test)

Model Information:

• Algorithm: Logistic Regression
• Training Dataset: Your dataset description.