Dimension Reduction Technique Based on Supervised Autoencoder for Intrusion Detection of Industrial Control Systems

Table 6

Comparisons of F1 score. This table has same layout as last one.

No	None				SupervisedAE				SupervisedAE + PCA
	KNN	DT	AdaBoost	Bagging	KNN	DT	AdaBoost	Bagging	KNN	DT	AdaBoost	Bagging
1	0.8468	0.8040	0.7976	0.8851	0.9217	0.8633	0.8626	0.9203	0.9290	0.8631	0.8622	0.9182
2	0.8438	0.8240	0.8211	0.8952	0.9182	0.8516	0.8618	0.9069	0.9238	0.8574	0.8480	0.9015
3	0.8676	0.8449	0.8373	0.8970	0.9288	0.8590	0.8595	0.9209	0.9234	0.8673	0.8663	0.9117
4	0.8587	0.8160	0.8295	0.8885	0.9322	0.8649	0.8692	0.9247	0.9284	0.8559	0.8558	0.9206
5	0.8644	0.8250	0.8306	0.8988	0.9291	0.8632	0.8586	0.9198	0.9303	0.8587	0.8540	0.9172
6	0.8649	0.8359	0.8431	0.9063	0.9377	0.8804	0.8758	0.9326	0.9360	0.8761	0.8791	0.9315
7	0.8459	0.8129	0.8000	0.8808	0.9218	0.8454	0.8608	0.9227	0.9188	0.8689	0.8553	0.9072
8	0.8490	0.8401	0.8420	0.9018	0.9262	0.8582	0.8645	0.9143	0.9270	0.8641	0.8634	0.9149
9	0.8388	0.7996	0.8028	0.8700	0.9333	0.8494	0.8571	0.9230	0.9334	0.8504	0.8606	0.9186
10	0.8521	0.8156	0.8117	0.8769	0.9361	0.8675	0.8648	0.9232	0.9296	0.8618	0.8692	0.9235
11	0.8644	0.8113	0.8068	0.8876	0.9384	0.8812	0.8806	0.9317	0.9411	0.8742	0.8727	0.9263
12	0.8574	0.8041	0.8072	0.8763	0.9337	0.8605	0.8602	0.9169	0.9340	0.8629	0.8672	0.9161
13	0.8598	0.8327	0.8301	0.8948	0.9412	0.8750	0.8784	0.9265	0.9442	0.8664	0.8796	0.9257
14	0.8563	0.8123	0.8120	0.8868	0.9300	0.8656	0.8597	0.9273	0.9330	0.8677	0.8634	0.9221
15	0.8554	0.8014	0.8007	0.8763	0.9315	0.8638	0.8686	0.9205	0.9307	0.8676	0.8625	0.9191
Mean	0.8550	0.8187	0.8182	0 . 8881	0 . 9307	0.8633	0.8655	0.9221	0 . 9308	0.8642	0.8640	0.9183
Std	0.0084	0.0140	0.0155	0.0103	0.0064	0.0099	0.0072	0.0063	0.0064	0.0066	0.0086	0.0073