Classifier | Data set | Over_sampling techniques | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | ||
Random Forest | PAMAP2 | 0.44 | 0.62 | 0.67 | 0.65 | 0.72 | 0.64 | 0.73 | 0.74 | 0.77 | 0.75 | 0.68 |
Landstat | 0.84 | 0.88 | 0.91 | 0.9 | 0.92 | 0.89 | 0.93 | 0.94 | 0.96 | 0.94 | 0.91 | |
Mashup | 0.28 | 0.34 | 0.38 | 0.36 | 0.51 | 0.35 | 0.54 | 0.54 | 0.58 | 0.56 | 0.41 | |
SIDO | 0.87 | 0.91 | 0.92 | 0.92 | 0.93 | 0.91 | 0.94 | 0.95 | 0.97 | 0.95 | 0.92 | |
Naïve Bayes | PAMAP2 | 0.4 | 0.6 | 0.63 | 0.62 | 0.68 | 0.61 | 0.71 | 0.72 | 0.75 | 0.73 | 0.64 |
Landstat | 0.82 | 0.85 | 0.87 | 0.86 | 0.91 | 0.85 | 0.92 | 0.92 | 0.93 | 0.92 | 0.89 | |
Mashup | 0.25 | 0.31 | 0.34 | 0.33 | 0.48 | 0.32 | 0.52 | 0.52 | 0.55 | 0.53 | 0.37 | |
SIDO | 0.84 | 0.87 | 0.88 | 0.88 | 0.91 | 0.87 | 0.92 | 0.92 | 0.93 | 0.93 | 0.9 | |
AdaBoostM1 | PAMAP2 | 0.42 | 0.61 | 0.65 | 0.64 | 0.71 | 0.63 | 0.74 | 0.75 | 0.76 | 0.75 | 0.66 |
Landstat | 0.83 | 0.87 | 0.89 | 0.88 | 0.92 | 0.87 | 0.93 | 0.93 | 0.94 | 0.93 | 0.9 | |
Mashup | 0.26 | 0.32 | 0.36 | 0.35 | 0.5 | 0.34 | 0.52 | 0.53 | 0.57 | 0.55 | 0.39 | |
SIDO | 0.86 | 0.9 | 0.9 | 0.89 | 0.92 | 0.89 | 0.94 | 0.94 | 0.95 | 0.94 | 0.91 | |
MultiLayer Perceptron | PAMAP2 | 0.41 | 0.6 | 0.64 | 0.63 | 0.7 | 0.62 | 0.73 | 0.74 | 0.75 | 0.74 | 0.65 |
Landstat | 0.83 | 0.86 | 0.88 | 0.87 | 0.92 | 0.86 | 0.92 | 0.92 | 0.94 | 0.92 | 0.9 | |
Mashup | 0.26 | 0.31 | 0.35 | 0.34 | 0.49 | 0.33 | 0.53 | 0.53 | 0.56 | 0.54 | 0.38 | |
SIDO | 0.85 | 0.89 | 0.89 | 0.88 | 0.91 | 0.88 | 0.92 | 0.93 | 0.94 | 0.94 | 0.9 | |
Overall average | 0.59 | 0.67 | 0.70 | 0.69 | 0.76 | 0.68 | 0.78 | 0.78 | 0.80 | 0.79 | 0.71 |