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precision-recall-f1-score

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SaketJha-323 / Liver_Cirrhosis_Stage_Detection_System

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Liver Cirrhosis Stage Detection System Using Random Forest and XGBoost with Stacking Classifier

random-forest heatmap logistic-regression confusion-matrix feature-engineering linear-discriminant-analysis guassian knn-classification sgd-classifier label-encoding svc-model accuracy-score joblib scatterplot-visualization xgboost-classifier stacking-ensemble boxplot-visualization precision-recall-f1-score
  • Updated Jun 27, 2025
  • Jupyter Notebook

RohitMukkala / Heart-Disease-Prediction-Model

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A hybrid machine learning & deep learning pipeline for predicting heartdisease from clinical data. Includes EDA,preprocessing with ColumnTransformer, models (Logistic Regression, Random Forest, XGBoost) and a Keras ANN. Evaluation covers ROC-AUC, Precision-Recall, calibration, with SHAP explainability ensuring transparency and trust in healthcareAI

random-forest tensorflow scikit-learn keras cnn xgboost logistic-regression model-calibration explainable-ai shap heart-disease-prediction column-transformer confusion-matrix-heatmap roc-auc-curve stratified-kfold precision-recall-f1-score
  • Updated Sep 21, 2025
  • Jupyter Notebook

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