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Multi-temporal-Classification-of-satellite-images

New data (generated new train and test data)

Test accuracies for MLC without any feature selection:
#1- 88.63
#2- 79.54
#3- 86.36
#4- 95.45

BMA weights without any feature selection:
119.82
115.02
118.98
119.94

BMA test accuracy without any feature selection:
90.9


PCA results:
Test accuracies for MLC:
#1- 88.63
#2- 81.82
#3- 90.91
#4- 90.91

BMA weights:
118.39
113.44
113.21
118.50

BMA test accuracy:
90.9

Feature subset:
Test accuracies for MLC:
#1- 93.18
#2- 88.64
#3- 93.18
#4- 97.72

Class Accuracies
      #1       #2       #3       #4      
#1       92.85       100       90       88.88      
#2       100       100       90       77.77      
#3       92.85       100       90       88.88      
#4       92.85       100       100       100      

BMA weights: 116.99 113.07 109.75 120.02

BMA test accuracy: 93.18

Class accuracies: #1- 92.85 #2- 100 #3- 90 #4- 88.88