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2019
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Article
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Tab 4
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Research Article
Activity Feature Solving Based on TF-IDF for Activity Recognition in Smart Homes
Table 4
Recognition accuracies using three classifiers concerning dataset tulum2009.
Feature
SVM
SMO
RF
Frequency Feature (FF)
67.2%
79%
90.8
TF-IDF
87
85%
90.8
TF-IDF+Sigmod
87
88.4
90.5%
TF-IDF+Tanh
85.9%
87.2%
90.7%