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

Neighbors = 4, Acc = 1.00,Training time = 0.0
Neighbors = 5, Acc = 1.00,Training time = 0.0
Neighbors = 6, Acc = 1.00,Training time = 0.0
Neighbors = 7, Acc = 1.00,Training time = 0.0
Neighbors = 8, Acc = 1.00,Training time = 0.0
Neighbors = 9, Acc = 1.00,Training time = 0.0
Neighbors = 10, Acc = 1.00,Training time = 0.0

Neighbors = 4, Acc = 0.96,Training time = 0.0
Neighbors = 5, Acc = 0.96,Training time = 0.0
Neighbors = 6, Acc = 0.96,Training time = 0.0160000324249
Neighbors = 7, Acc = 0.96,Training time = 0.0
Neighbors = 8, Acc = 0.96,Training time = 0.0
Neighbors = 9, Acc = 0.96,Training time = 0.0
Neighbors = 10, Acc = 0.96,Training time = 0.0

Neighbors = 4, Acc = 0.93,Training time = 0.0
Neighbors = 5, Acc = 0.85,Training time = 0.0
Neighbors = 6, Acc = 0.93,Training time = 0.0
Neighbors = 7, Acc = 0.89,Training time = 0.0
Neighbors = 8, Acc = 0.89,Training time = 0.0
Neighbors = 9, Acc = 0.89,Training time = 0.0
Neighbors = 10, Acc = 0.96,Training time = 0.0

Neighbors = 4, Acc = 1.00,Training time = 0.0
Neighbors = 5, Acc = 1.00,Training time = 0.0
Neighbors = 6, Acc = 1.00,Training time = 0.0
Neighbors = 7, Acc = 1.00,Training time = 0.0
Neighbors = 8, Acc = 1.00,Training time = 0.0
Neighbors = 9, Acc = 1.00,Training time = 0.0160000324249
Neighbors = 10, Acc = 1.00,Training time = 0.0

Neighbors = 4, Acc = 0.92,Training time = 0.0
Neighbors = 5, Acc = 0.96,Training time = 0.0
Neighbors = 6, Acc = 0.92,Training time = 0.0
Neighbors = 7, Acc = 0.96,Training time = 0.0
Neighbors = 8, Acc = 0.96,Training time = 0.0
Neighbors = 9, Acc = 0.96,Training time = 0.0
Neighbors = 10, Acc = 0.96,Training time = 0.0

Result training 90%:
           Neighbors= 4
           Training time=0.0
           Accuracy=1.00

Final result: TEST 10%:
           Accuracy=1.00

==================================================================
DATASET wine information
      13 dimensions, 178 vectors, 59 positive, 119 negative

Neighbors = 4, Acc = 0.97,Training time = 0.0
Neighbors = 5, Acc = 0.94,Training time = 0.0
Neighbors = 6, Acc = 0.97,Training time = 0.0
Neighbors = 7, Acc = 0.94,Training time = 0.0
Neighbors = 8, Acc = 0.94,Training time = 0.0
Neighbors = 9, Acc = 0.94,Training time = 0.0
Neighbors = 10, Acc = 0.91,Training time = 0.0

Neighbors = 4, Acc = 0.97,Training time = 0.0
Neighbors = 5, Acc = 0.94,Training time = 0.0
Neighbors = 6, Acc = 0.97,Training time = 0.0
Neighbors = 7, Acc = 0.97,Training time = 0.0
Neighbors = 8, Acc = 0.97,Training time = 0.0
Neighbors = 9, Acc = 0.97,Training time = 0.0
Neighbors = 10, Acc = 0.97,Training time = 0.0

Neighbors = 4, Acc = 0.97,Training time = 0.0
Neighbors = 5, Acc = 0.97,Training time = 0.0
Neighbors = 6, Acc = 0.97,Training time = 0.0
Neighbors = 7, Acc = 0.97,Training time = 0.0
Neighbors = 8, Acc = 0.97,Training time = 0.0
Neighbors = 9, Acc = 0.97,Training time = 0.0
Neighbors = 10, Acc = 0.97,Training time = 0.0

Neighbors = 4, Acc = 0.91,Training time = 0.0
Neighbors = 5, Acc = 0.91,Training time = 0.0
Neighbors = 6, Acc = 0.91,Training time = 0.0
Neighbors = 7, Acc = 0.91,Training time = 0.0160000324249
Neighbors = 8, Acc = 0.94,Training time = 0.0
Neighbors = 9, Acc = 0.91,Training time = 0.0
Neighbors = 10, Acc = 0.91,Training time = 0.0

Neighbors = 4, Acc = 0.93,Training time = 0.0
Neighbors = 5, Acc = 1.00,Training time = 0.0160000324249
Neighbors = 6, Acc = 1.00,Training time = 0.0
Neighbors = 7, Acc = 1.00,Training time = 0.0
Neighbors = 8, Acc = 1.00,Training time = 0.0
Neighbors = 9, Acc = 1.00,Training time = 0.0
Neighbors = 10, Acc = 0.97,Training time = 0.0

Result training 90%:
           Neighbors= 5
           Training time=0.0160000324249
           Accuracy=1.00

Final result: TEST 10%:
           Accuracy=0.94

==================================================================
DATASET dna information
      180 dimensions, 2000 vectors, 464 positive, 1536 negative

Neighbors = 4, Acc = 0.74,Training time = 0.0160000324249
Neighbors = 5, Acc = 0.77,Training time = 0.0160000324249
Neighbors = 6, Acc = 0.77,Training time = 0.0160000324249
Neighbors = 7, Acc = 0.78,Training time = 0.0150001049042
Neighbors = 8, Acc = 0.78,Training time = 0.0160000324249
Neighbors = 9, Acc = 0.79,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.79,Training time = 0.0160000324249

Neighbors = 4, Acc = 0.75,Training time = 0.0160000324249
Neighbors = 5, Acc = 0.79,Training time = 0.0160000324249
Neighbors = 6, Acc = 0.79,Training time = 0.0150001049042
Neighbors = 7, Acc = 0.81,Training time = 0.0160000324249
Neighbors = 8, Acc = 0.81,Training time = 0.0309998989105
Neighbors = 9, Acc = 0.83,Training time = 0.0149998664856
Neighbors = 10, Acc = 0.83,Training time = 0.0160000324249

Neighbors = 4, Acc = 0.78,Training time = 0.0160000324249
Neighbors = 5, Acc = 0.79,Training time = 0.0160000324249
Neighbors = 6, Acc = 0.80,Training time = 0.0160000324249
Neighbors = 7, Acc = 0.81,Training time = 0.0150001049042
Neighbors = 8, Acc = 0.81,Training time = 0.0160000324249
Neighbors = 9, Acc = 0.82,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.82,Training time = 0.0149998664856

Neighbors = 4, Acc = 0.73,Training time = 0.0149998664856
Neighbors = 5, Acc = 0.77,Training time = 0.0159997940063
Neighbors = 6, Acc = 0.80,Training time = 0.0149998664856
Neighbors = 7, Acc = 0.83,Training time = 0.0160000324249
Neighbors = 8, Acc = 0.85,Training time = 0.0160000324249
Neighbors = 9, Acc = 0.82,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.83,Training time = 0.0149998664856

Neighbors = 4, Acc = 0.73,Training time = 0.0160000324249
Neighbors = 5, Acc = 0.76,Training time = 0.0150001049042
Neighbors = 6, Acc = 0.78,Training time = 0.0160000324249
Neighbors = 7, Acc = 0.79,Training time = 0.0160000324249
Neighbors = 8, Acc = 0.79,Training time = 0.0150001049042
Neighbors = 9, Acc = 0.79,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.80,Training time = 0.0149998664856

Result training 90%:
           Neighbors= 8
           Training time=0.0160000324249
           Accuracy=0.85

Final result: TEST 10%:
           Accuracy=0.84

==================================================================
DATASET vehicle information
      18 dimensions, 846 vectors, 212 positive, 634 negative

Neighbors = 4, Acc = 0.75,Training time = 0.0
Neighbors = 5, Acc = 0.73,Training time = 0.0
Neighbors = 6, Acc = 0.75,Training time = 0.0
Neighbors = 7, Acc = 0.75,Training time = 0.0
Neighbors = 8, Acc = 0.74,Training time = 0.0
Neighbors = 9, Acc = 0.74,Training time = 0.0
Neighbors = 10, Acc = 0.72,Training time = 0.0

Neighbors = 4, Acc = 0.69,Training time = 0.0
Neighbors = 5, Acc = 0.69,Training time = 0.0
Neighbors = 6, Acc = 0.68,Training time = 0.0
Neighbors = 7, Acc = 0.63,Training time = 0.0
Neighbors = 8, Acc = 0.63,Training time = 0.0150001049042
Neighbors = 9, Acc = 0.61,Training time = 0.0
Neighbors = 10, Acc = 0.63,Training time = 0.0

Neighbors = 4, Acc = 0.64,Training time = 0.0
Neighbors = 5, Acc = 0.70,Training time = 0.0
Neighbors = 6, Acc = 0.66,Training time = 0.0
Neighbors = 7, Acc = 0.68,Training time = 0.0
Neighbors = 8, Acc = 0.66,Training time = 0.0
Neighbors = 9, Acc = 0.69,Training time = 0.0
Neighbors = 10, Acc = 0.66,Training time = 0.0

Neighbors = 4, Acc = 0.72,Training time = 0.0
Neighbors = 5, Acc = 0.72,Training time = 0.0
Neighbors = 6, Acc = 0.72,Training time = 0.0
Neighbors = 7, Acc = 0.72,Training time = 0.0
Neighbors = 8, Acc = 0.74,Training time = 0.0
Neighbors = 9, Acc = 0.72,Training time = 0.0
Neighbors = 10, Acc = 0.72,Training time = 0.0

Neighbors = 4, Acc = 0.70,Training time = 0.0
Neighbors = 5, Acc = 0.65,Training time = 0.0
Neighbors = 6, Acc = 0.66,Training time = 0.0
Neighbors = 7, Acc = 0.66,Training time = 0.0
Neighbors = 8, Acc = 0.65,Training time = 0.0
Neighbors = 9, Acc = 0.65,Training time = 0.0
Neighbors = 10, Acc = 0.66,Training time = 0.0

Result training 90%:
           Neighbors= 6
           Training time=0.0
           Accuracy=0.75

Final result: TEST 10%:
           Accuracy=0.69

==================================================================
DATASET segment information
      19 dimensions, 2310 vectors, 330 positive, 1980 negative

Neighbors = 4, Acc = 0.96,Training time = 0.0
Neighbors = 5, Acc = 0.95,Training time = 0.0159997940063
Neighbors = 6, Acc = 0.94,Training time = 0.0
Neighbors = 7, Acc = 0.94,Training time = 0.0
Neighbors = 8, Acc = 0.95,Training time = 0.0
Neighbors = 9, Acc = 0.94,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.94,Training time = 0.0

Neighbors = 4, Acc = 0.94,Training time = 0.0
Neighbors = 5, Acc = 0.94,Training time = 0.0
Neighbors = 6, Acc = 0.94,Training time = 0.0150001049042
Neighbors = 7, Acc = 0.94,Training time = 0.0149998664856
Neighbors = 8, Acc = 0.94,Training time = 0.0160000324249
Neighbors = 9, Acc = 0.93,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.94,Training time = 0.0

Neighbors = 4, Acc = 0.97,Training time = 0.0
Neighbors = 5, Acc = 0.96,Training time = 0.0
Neighbors = 6, Acc = 0.95,Training time = 0.0160000324249
Neighbors = 7, Acc = 0.95,Training time = 0.0160000324249
Neighbors = 8, Acc = 0.95,Training time = 0.0
Neighbors = 9, Acc = 0.94,Training time = 0.0
Neighbors = 10, Acc = 0.95,Training time = 0.0

Neighbors = 4, Acc = 0.94,Training time = 0.0
Neighbors = 5, Acc = 0.94,Training time = 0.0
Neighbors = 6, Acc = 0.94,Training time = 0.0
Neighbors = 7, Acc = 0.94,Training time = 0.0
Neighbors = 8, Acc = 0.93,Training time = 0.0160000324249
Neighbors = 9, Acc = 0.94,Training time = 0.0160000324249
Neighbors = 10, Acc = 0.94,Training time = 0.0150001049042

Neighbors = 4, Acc = 0.96,Training time = 0.0149998664856
Neighbors = 5, Acc = 0.96,Training time = 0.0
Neighbors = 6, Acc = 0.95,Training time = 0.0
Neighbors = 7, Acc = 0.94,Training time = 0.0
Neighbors = 8, Acc = 0.94,Training time = 0.0
Neighbors = 9, Acc = 0.95,Training time = 0.0
Neighbors = 10, Acc = 0.95,Training time = 0.0

Result training 90%:
           Neighbors= 4
           Training time=0.0
           Accuracy=0.97

Final result: TEST 10%:
           Accuracy=0.96
