# Model description This is a Decision tree model. ## Intended uses & limitations This model is made for educational purposes and is not suitable for real world deployment due to biased predictions. ## Training Procedure [More Information Needed] ### Hyperparameters

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### Model Plot

DecisionTreeClassifier(max_depth=3, min_samples_leaf=2, random_state=100)

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## Evaluation Results [More Information Needed] # How to Get Started with the Model [More Information Needed] # Model Card Authors Richard S. Montgomery III # Model Card Contact You can contact the model card authors through following channels: [More Information Needed] # Citation Creater: Marzia Ahmed ahmed.marzia32@gmail.com Daffodil International University # Intended uses & limitations This model is made for educational purposes and is not suitable for real world deployment due to biased predictions. # Features SystolicBP DiastolicBP BS BodyTemp HeartRate RiskLevel # Hyperparameters max_depth: 3 sin_samples_leaf: 2 random_state: 100 # Evaluation Results Accuracy: 0.65 precision_avg: 0.68 recall_avg: 0.67

	criterion	'gini'
	splitter	'best'
	max_depth	3
	min_samples_split	2
	min_samples_leaf	2
	min_weight_fraction_leaf	0.0
	max_features	None
	random_state	100
	max_leaf_nodes	None
	min_impurity_decrease	0.0
	class_weight	None
	ccp_alpha	0.0
	monotonic_cst	None