Gesture Recognition from Data Streams of Human Motion Sensor Using Accelerated PSO Swarm Search Feature Selection Algorithm

Table 5

Comparison of gain in accuracy per preprocessing second for different algorithms.

	FS-PSO	FS-APSO
Traditional Classifier
HyperPipe (HP)	0.1721	0.3442
Naive Bayes (NB)	1.4789333	1.3896889
BayesNet (BN)	0.1687412	0.3298917
Decision tree (DT)	0.0446222	0.09466
Random forest (RF)	0.0084353	0.0758806
Support vector machine (SVM)	0.0024659	0.006978
Neural network (NN)	−0.0001431
Average:	0.2678793	0.3201961
Incremental classifier
Random Hoeffding tree (RHT)	2.32932	2.6506
Hoeffding tree (HT)	−0.484075	0.0688467
Hoeffding pption tree (HOT)	1.0483455	1.26219
NBUpdateable (NBup)	1.1729444	1.027925
Active (AC)	0.0052164	0.049342
Adwin (AW)	−0.016625	0.0109092
Kstar	0.0055993	0.0075781
Average:	0.5801037	0.7253416