Research Article

Ensemble Deep Learning for Biomedical Time Series Classification

Table 7

Performance comparison of different ensemble methods.

DatasetMethodSp (%)Se (%)GMean (%)Acc (%)AUCNPV = 95%
TPR (%)FPR (%)

DS1YeCRaw95.6156.1173.2584.210.888252.6636.834
YeC91.4469.0579.4684.980.896563.3028.215
Bagging91.6873.9082.3186.550.908167.0058.694
AdaBoost90.7575.9383.0186.470.911672.0319.347
ViewEL91.8174.9682.9686.950.917274.0639.611

DS2YeCRaw95.3558.8474.9184.740.901065.3638.399
YeC90.8470.4880.0184.920.902867.8158.715
Bagging91.1177.3183.9387.100.925277.7399.988
AdaBoost90.6279.0184.6287.250.925579.50310.215
ViewEL91.4778.2784.6187.640.932481.46810.468

DS3YeCRaw94.2256.8273.1783.510.882955.9447.349
YeC89.6569.5978.9983.910.896267.1038.797
Bagging88.9175.5581.9685.090.903369.9659.172
AdaBoost88.1376.8482.2984.900.902571.5369.378
ViewEL89.5776.2982.6685.760.912274.8199.809

DS4YeCRaw92.5171.3581.2480.570.905400
YeC86.8780.2183.4783.110.907200
Bagging85.8383.6084.7084.570.914000
AdaBoost84.3284.9884.6584.690.91720.3620.015
ViewEL86.6484.1885.4085.250.92150.0200.005

DS5YeCRaw91.0373.2281.6481.130.903900
YeC84.2982.5883.4383.340.90710.1840.008
Bagging83.1684.5783.8683.940.910600
AdaBoost81.5886.1083.8184.090.91430.1490.007
ViewEL84.6984.8284.7684.760.918700

DS6YeCRaw92.5370.7980.9380.720.905200
YeC86.7580.0983.3583.130.906900
Bagging85.2683.3284.2984.210.91340.0740.006
AdaBoost83.5185.1084.3084.370.91580.1080.007
ViewEL86.3183.8185.0584.960.921319.8350.882

DS7YeCRaw89.0071.5779.8180.230.888500
YeC81.9381.5281.7281.720.894416.3240.850
Bagging80.7782.6281.6981.700.891600
AdaBoost79.4684.8182.0982.150.895600
ViewEL82.0883.0282.5582.550.900010.7690.561

DS8YeCRaw89.1470.4979.2779.290.887900
YeC83.2780.2181.7281.650.89101.9890.098
Bagging81.2883.0282.1582.200.89168.5510.410
AdaBoost80.2184.7282.4482.590.89540.0140.001
ViewEL82.6983.3283.0083.020.901110.8890.514

DS9YeCRaw92.5764.0677.0184.310.878949.5246.382
YeC86.0276.9081.3383.370.884954.4947.039
Bagging87.4272.3079.5083.030.880456.6697.302
AdaBoost85.7174.2279.7682.380.882559.0617.611
ViewEL86.4673.3779.6482.660.880653.1516.850