Semaine 8 vendredi

~ vendredi ~

Finally got attribute-based classifier code fully running, but result doesn't look quite right... Wonder if it's because there's too few data samples for each attribute. The regression predictions look almost identical for every fold, and the accuracy is 0%. The range is somewhere in there, but there must be either something wrong with the way I'm constructing the matrix, or something wrong with the training.

Ran RGB color histogram and EMD on the complete set of data again, since it is increased 4 times from before. Color histogram did surprisingly better than the last round:

fold#   accuracy%
0       46.666668
1       55.555557
2       57.777779
3       51.111111
4       56.250000
mean    53.472223
var     15.564670993
std dev 3.945208612

EMD, on the other hand, dropped a lot:
fold #    accuracy%
0        9.615385
1        17.391304
2
3
4