Recombination Hotspot/Coldspot Identification Combining Three Different Pseudocomponents via an Ensemble Learning Approach

Table 3

Results on benchmark dataset for different predictors.

Predictor	Test method	Se (%)	Sp (%)	Acc (%)	MCC
IDQD	5-fold	79.40	81.00	80.30	0.603
iRSpot-PseDNC	Jackknife	73.06	89.49	82.04	0.638
SVM-EL	Jackknife	76.33	88.33	82.89	0.654

From Liu et al. [10].
From Chen et al. [12].