An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices

Table 2

Algorithms comparison based on the percentage of the well-recognized positions; the radio map defined upon RSSI values.

Device type	Classification type
	SVM	Artificial Neural Network	Naïve Bayes	Random Forest	KNN ()
	L2-R L2-N
Oppo A31c		97.50%
BBK	94.17%
Coolpad 8730L	90.62%	97.71%
Gionee	99.17%
HTC One E8		91.88%
Huawei GRA-CL00	97.92%	93.33%
Lenovo A788t	94.58%
Meizu	99.58%	99.79%	95.00%		99.58%
Oppo R7c	98.12%
Xiaomi
Xiaomi Cancro
Samsung klteduoszn	92.92%	98.75%
Meizu M2 note	97.71%	97.71%
Samsung trlteduosctc	93.95%	97.29%
BBK Vivo	96.87%
Standard device accuracy	91.87%	97.50%
Recall (ratio)	0.92	0.97	0.77	0.85	0.87
Precision (ratio)	0.95	0.97	0.85	0.93	0.93

We put in bold the percentages lower than 90% for easiness of observation.