
==================================================================
DATASET iris information
4 dimensions, 150 vectors, 3 class, 50 positive, 100 negative

Final Result Trainning 90%======
        Acc = 1.00
        Training time = 0.0

Final Result Trainning 90%======

        Acc = 1.00
==================================================================
DATASET wine information
13 dimensions, 178 vectors, 3 class, 59 positive, 119 negative

Final Result Trainning 90%======
        Acc = 1.00
        Training time = 0.0

Final Result Trainning 90%======

        Acc = 1.00
==================================================================
DATASET dna information
180 dimensions, 2000 vectors, 3 class, 464 positive, 1536 negative

Final Result Trainning 90%======
        Acc = 0.97
        Training time = 0.71799993515

Final Result Trainning 90%======

        Acc = 0.96
==================================================================
DATASET vehicle information
18 dimensions, 846 vectors, 4 class, 212 positive, 634 negative

Final Result Trainning 90%======
        Acc = 0.88
        Training time = 0.0309996604919

Final Result Trainning 90%======

        Acc = 0.78
==================================================================
DATASET segment information
19 dimensions, 2310 vectors, 7 class, 330 positive, 1980 negative

Final Result Trainning 90%======
        Acc = 0.98
        Training time = 0.0920000076294

Final Result Trainning 90%======

        Acc = 0.98