Table 7.

Item response theory–based Medical Information Mart for Intensive Care III mortality prediction accuracy stratified by classification difficulty index.

Number of cases		CDIa	LRb (%)	LDAc (%)	KNNd (%)	DTe (%)	NBf (%)	NNg (%)
Balanced
	1	2.5	100.0	100.0	100.0	100.0	100.0	100.0
	13	2.0	92.3	92.3	84.6	92.3	92.3	92.3
	316	1.5	90.2	88.2	80.4	80.4	89.2	88.3
	1884	1.0	75.6	74.9	68.2	68.8	68.4	77.0
	1321	0.5	70.5	70.6	63.5	65.9	65.4	71.1
	952	0.0	72.0	72.4	62.8	68.8	66.2	73.9
	1346	−0.5	70.9	70.6	60.4	67.1	63.7	72.1
	1955	−1.0	77.0	77.1	70.9	75.4	75.2	78.3
	288	−1.5	94.8	94.8	83.3	91.0	95.5	94.5
	3	−2.0	100.0	100.0	100.0	100.0	100.0	100.0
Imbalanced
	1	2.5	100.0	100.0	100.0	100.0	100.0	100.0
	30	2.0	93.3	93.3	76.7	73.3	93.3	93.3
	571	1.5	77.4	75.7	64.1	71.1	77.4	78.3
	1886	1.0	70.6	70.3	63.9	65.0	64.6	73.3
	1537	0.5	76.3	75.5	67.3	71.2	72.7	79.7
	1251	0.0	78.7	78.0	75.6	74.5	76.8	80.3
	2794	−0.5	75.0	74.5	71.0	72.1	72.3	78.4
	2722	−1.0	88.3	88.3	85.0	83.3	87.1	89.1
	325	−1.5	99.1	99.1	96.6	98.2	99.1	98.8

^aCDI: classification difficulty index.

^bLR: logistic regression.

^cLDA: linear discriminant analysis.

^dKNN: K-nearest neighbor.

^eDT: decision tree.

^fNB: naive Bayes.

^gNN: neural network.