Mobile Information Systems / 2018 / Article / Tab 1

Research Article

CEnsLoc: Infrastructure-Less Indoor Localization Methodology Using GMM Clustering-Based Classification Ensembles

Table 1

A comparison of performance measures of various classification algorithms for Wi-Fi-based position estimation.

AlgorithmTime to build model (sec)AccuracyKappa statisticRMSEPrecisionRecallF1MCCROC area

K099.520.980.020.990.990.990.991
k-NN099.060.990.030.990.990.990.980.99
RFE1.1198.760.980.040.980.980.980.981
FURIA5.9297.260.960.050.970.970.970.960.99
Multilayer perceptron25.8497.050.960.060.970.970.970.960.99
J480.195.910.950.080.950.950.950.950.98
Dl4jMlp classifier26.31940.930.080.940.940.940.930.99
SVM5.8290.60.890.120.930.900.900.90.94
Naive Bayes0.0289.790.880.120.910.890.890.890.99
AdaBoost with decision stump0.136.810.220.250.150.360.210.180.76

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