Activity Feature Solving Based on TF-IDF for Activity Recognition in Smart Homes

Table 5

Recognition accuracies using three classifiers concerning dataset cairo.

Feature	SVM	SMO	RF
FF	41%	83.1%	87.4%
TF-IDF	83.8	86.4	88.8
TF-IDF+Sigmod	83.6%	83.6%	87.8%
TF-IDF+Tanh	80.3%	83.7%	88.6%