Ensemble of EfficientNets for the Diagnosis of Tuberculosis

Algorithm 1 Bagging Ensemble.

 Input:

 Data set

 Base learning algorithm ;

 Number of learning rounds T

 Process:

 for t = 1, … T:

 end.

 Output: % the value of 1 (a) is 1 if a is true and 0 if otherwise