Table 4: Characteristics of the cross validation experiments for the Mycobacterium tuberculosis AdaBoost classifiers.

From: Antimicrobial Resistance Prediction in PATRIC and RAST

 Available GenomesGenomes used per trial*Classifier statistics
AntibioticRESSUSTest setTraining setAUCF1 plot pointF1 ScoreAccuracy at F1 pointAccuracy at point zero
Ethambutol250250252250.7150.4350.7040.5880.668
Ethionamide173250171530.812−0.1360.7660.7680.771
Isoniazid250250252250.911−0.0850.8720.8800.882
Kanamycin188250181620.8980.1370.8710.8830.872
Ofloxacin239250232070.833−0.0220.7610.7930.791
Rifampicin250250252250.932−0.4100.8700.8640.858
Streptomycin250250252250.795−0.4850.7220.6420.712
Combined Set831398720.969−0.5770.9500.9500.928
  1. *For each round of cross validation the depicted set size was chosen for the susceptible and resistant genomes.