Towards Automated Multiclass Severity Prediction Approach for COVID-19 Infections Based on Combinations of Clinical Data

Table 2

Experimental setup for training models.

Database parameters	SVM	Decision tree
Training samples	51 samples	80% of overall data
No. of features	3	3
Kernel function	Gaussian	Gini’s index
Training accuracy	88.0%	80.6