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 1

Performance metrics of ML algorithm for experiment A.

Algorithm	Accuracy	Precision	Recall		ROC_AUC
DT	0.9473	0.9047	1.000	0.9500	0.9523
RF	0.9210	0.9047	0.9500	0.9268	0.9229
LR	0.9473	0.9523	0.9523	0.9523	0.9467
KNN	0.6052	0.8571	0.6000	0.7058	0.5756
GBC	0.9473	0.9523	0.9523	0.9523	0.9467
AdB	0.9473	0.9523	0.9523	0.9523	0.9467
XGB	0.8947	0.8571	0.9473	0.9000	0.8991