| {"model_id": "prabinpanta0/Patient-Readmission-Prediction", "model_type": "sequence-classification", "model_architectures": {"random_forest": "RandomForestClassifier", "logistic_regression": "LogisticRegression", "k_nearest": "KNeighborsClassifier", "svc": "SVC", "naive_bayes": "MultinomialNB", "neural_network": "NeuralNetwork"}, "model_paths": {"random_forest": "pretrained/random_forest_model.joblib", "logistic_regression": "pretrained/logistic_regression_model.joblib", "k_nearest": "pretrained/k_nearest_model.joblib", "svc": "pretrained/svc_model.joblib", "naive_bayes": "pretrained/naive_bayes_model.joblib", "neural_network": "pretrained/neural_network_model.keras"}, "model_classes": {"random_forest": "RandomForestClassifier", "logistic_regression": "LogisticRegression", "k_nearest": "KNeighborsClassifier", "svc": "SVC", "naive_bayes": "MultinomialNB", "neural_network": "NeuralNetwork"}, "model_configs": {"random_forest": {"n_estimators": 100, "max_depth": 5}, "logistic_regression": {"C": 1.0, "max_iter": 1000}, "k_nearest": {"n_neighbors": 5}, "svc": {"C": 1.0, "kernel": "linear"}, "naive_bayes": {"alpha": 1.0}, "neural_network": {"input_dim": 10, "output_dim": 1, "hidden_dim": 10}}} |