Photo of the comparison score matrix
Input of comparison score matrix.
- Un= Classifier trained using User n data*
| User Sample |
Score_U1 |
Score_U2 |
.... |
Score_Un |
| 1 |
0.6 |
0.1 |
... |
0.3 |
| 1 |
0.7 |
0.5 |
.... |
0.4 |
Matrix Input to MatLab
1,0.6,0.1,0.3
Idea
It's good to develop an evaluation method if this characteristics:
A user-specific classifier must be trained using the user data and some others users.
Each user-specific classifier must be trained with non-present users used in traning phase.
The matrix must present the score of the classifier against all the user samples.
Photo of the comparison score matrix
Input of comparison score matrix.
Matrix Input to MatLab
1,0.6,0.1,0.3
Idea
It's good to develop an evaluation method if this characteristics:
A user-specific classifier must be trained using the user data and some others users.
Each user-specific classifier must be trained with non-present users used in traning phase.
The matrix must present the score of the classifier against all the user samples.