Table 2 Model validation with all features.
From: Classification of human walking context using a single-point accelerometer
Held out subject | Accuracy | F1-score | AUROC | |||
|---|---|---|---|---|---|---|
Ensemble SVM | Random forest | Ensemble SVM | Random forest | Ensemble SVM | Random forest | |
S2 | 0.958 | 0.938 | 0.974 | 0.960 | 0.909 | 0.982 |
S3 | 0.911 | 0.911 | 0.949 | 0.948 | 0.780 | 0.975 |
S5 | 0.789 | 0.853 | 0.853 | 0.892 | 0.807 | 0.863 |
S6 | 0.862 | 0.879 | 0.833 | 0.851 | 0.968 | 0.982 |
S8 | 0.862 | 0.862 | 0.889 | 0.889 | 0.899 | 0.887 |
S9 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
S10 | 0.897 | 0.936 | 0.927 | 0.953 | 0.963 | 0.971 |
S11 | 0.788 | 0.859 | 0.862 | 0.913 | 0.898 | 0.943 |
S12 | 0.990 | 0.990 | 0.994 | 0.994 | 0.971 | 0.984 |
S13 | 0.863 | 0.843 | 0.851 | 0.833 | 0.904 | 0.957 |
S14 | 0.900 | 0.867 | 0.906 | 0.875 | 0.968 | 0.955 |
S15 | 0.709 | 0.722 | 0.693 | 0.711 | 0.857 | 0.921 |
S16 | 0.907 | 0.926 | 0.944 | 0.955 | 0.825 | 0.938 |
S18 | 0.978 | 0.989 | 0.986 | 0.993 | 0.979 | 0.979 |
S20 | 0.781 | 0.781 | 0.840 | 0.840 | 0.832 | 0.830 |
Average | 0.880 | 0.890 | 0.900 | 0.907 | 0.904 | 0.945 |