Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-Square Test and Hyperparameter Optimization: A Retrospective Analysis

Table 3

Performance metrics of ML algorithm for experiment C.

Algorithm	Accuracy	Precision	Recall		ROC_AUC
DT	0.8157	0.8095	0.8500	0.8292	0.8165
RF	0.8157	0.9047	0.7916	0.8444	0.8053
LR	0.8684	0.9047	0.8636	0.8837	0.8641
KNN	0.9210	0.9047	0.9500	0.9268	0.9229
GBC	0.8157	0.9047	0.7916	0.8444	0.8053
AdB	0.7894	0.8571	0.7826	0.8181	0.7815
XGB	0.8157	0.9047	0.7916	0.8444	0.8053