Patient Readmission Prediction

Models

Model Link: prabinpanta0/Patient-Readmission-Prediction

Dataset

• Original Source: Kaggle/datasets/dubradave/hospital-readmissions
• Import Source: HuggingFace/datasets/prabinpanta0/genki_hospital

{
  "model_id": "prabinpanta0/Patient-Readmission-Prediction",
  "model_type": "sequence-classification",
  "library": {
    "random_forest": "scikit-learn",
    "logistic_regression": "scikit-learn",
    "k_nearest": "scikit-learn",
    "svc": "scikit-learn",
    "naive_bayes": "scikit-learn",
    "neural_network": "keras",
    "cross_validation_random_forest": "scikit-learn",
    "cross_validation_logistic_regression": "scikit-learn",
    "cross_validation_lightgbm": "LightGBM"
  },
  "model_architectures": {
    "random_forest": "RandomForestClassifier",
    "logistic_regression": "LogisticRegression",
    "k_nearest": "KNeighborsClassifier",
    "svc": "SVC",
    "naive_bayes": "MultinomialNB",
    "neural_network": "NeuralNetwork",
    "cross_validation_random_forest": "RandomForestClassifier",
    "cross_validation_logistic_regression": "LogisticRegression",
    "cross_validation_lightgbm": "LGBMClassifier"
  },
  "model_paths": {
    "random_forest": "model_RandomForestClassifier.pkl",
    "logistic_regression": "model_Logistic_Regression.pkl",
    "k_nearest": "model_K_nearest.pkl",
    "svc": "model_svc.pkl",
    "naive_bayes": "model_naive_bayes.pkl",
    "neural_network": "neural_network.keras",
    "cross_validation_random_forest": "model_rf.pkl",
    "cross_validation_logistic_regression": "model_lr.pkl",
    "cross_validation_lightgbm": "model_lgbm.pkl"
  },
  "model_classes": {
    "random_forest": "RandomForestClassifier",
    "logistic_regression": "LogisticRegression",
    "k_nearest": "KNeighborsClassifier",
    "svc": "SVC",
    "naive_bayes": "MultinomialNB",
    "neural_network": "NeuralNetwork",
    "cross_validation_random_forest": "RandomForestClassifier",
    "cross_validation_logistic_regression": "LogisticRegression"
  },
  "model_configs": {
    "random_forest": {
      "n_estimators": 100,
      "max_depth": 5
    },
    "logistic_regression": {
      "C": 1,
      "max_iter": 1000
    },
    "k_nearest": {
      "n_neighbors": 5
    },
    "svc": {
      "C": 1,
      "kernel": "linear"
    },
    "naive_bayes": {
      "alpha": 1
    },
    "neural_network": {
      "input_dim": 10,
      "output_dim": 1,
      "hidden_dim": 10
    },
    "cross_validation_random_forest": {
      "n_estimators": 100,
      "max_depth": 5
    },
    "cross_validation_logistic_regression": {
      "C": 1,
      "max_iter": 1000
    },
    "cross_validation_lightgbm": {
      "random_state": 42
    }
  }
}

metrics

Model	Accuracy	Precision	Recall	AUC-ROC
Random Forest	0.86544	0.8734358240972471	0.8337883959044369	0.8635809449401703
Logistic Regression	0.74736	0.7493540051679587	0.6928327645051194	0.7441573461079813
K-Nearest Neighbors	0.84112	0.8543724844493231	0.7969283276450512	0.838524404786381
Support Vector Classifier	0.84256	0.8492462311557789	0.8075085324232082	0.8405012541634113
Naive Bayes	0.74176	0.7692307692307693	0.6416382252559727	0.7358793535918418
Neural Network	0.87664	0.889009009009009	0.8419795221843004	0.8746042189234755
Random Forest (Cross-Validation)	0.86544	0.8734358240972471	0.8337883959044369	0.8635809449401703
Logistic Regression (Cross-Validation)	0.74736	0.7493540051679587	0.6928327645051194	0.7441573461079813
LightGBM (Cross-Validation)	0.8728	0.8773418168964299	0.847098976109215	0.8712904519100293

Random Forest	Logistic Regression	K-Nearest Neighbors	Support Vector Classifier	Naive Bayes	Neural Network	Random Forest (Cross-Validation)	Logistic Regression (Cross-Validation)	LightGBM (Cross-Validation)
1.0	0.7453866666666666	0.8901866666666667	0.8530133333333333	0.7455466666666667	0.88288	1.0	0.7453866666666666	0.9045866666666667
1.0	0.7449201741654572	0.9005328596802842	0.8556024378809189	0.7743332882090158	0.8964114832535885	1.0	0.7449201741654572	0.910874897792314
1.0	0.6979827742520399	0.8618540344514959	0.8272892112420671	0.6482320942883046	0.849274705349048	1.0	0.6979827742520399	0.8837262012692656
1.0	0.7427552396345833	0.8886139001594574	0.8515853672571407	0.7401446588709305	0.8810145438895148	1.0	0.7427552396345833	0.9034286859660855