micro-macro

total_corrects_normal_loss = 36 + 36 + 35 + 39 + 37 + 39 + 44 + 36+ 38 + 33
totals         = 67 + 67 + 66 + 65 + 65 + 65 + 64 + 64 + 64 + 64



c2_corr_normal_loss = 5 + 6 + 4 + 3 + 5 + 6 + 8 + 4 + 6 + 4
c2_tot  = 14 + 14 + 14 + 14 + 14 + 14 + 13 + 13 +13 + 13

c3_corr_normal_loss = 19 + 22 + 21 + 23 + 22 + 21 + 23 + 21 + 21 + 21
c3_tot  = 26 + 26 + 26 + 26 + 26 + 26 + 26 + 26 + 26 + 26


c5_corr_normal_loss = 2 +3 + 2 + 4 + 6 + 3 + 3 +2 +2 +2
c5_tot  = 11 + 11 + 11 + 10 + 10 + 10 + 10 + 10 + 10 + 10


c7_corr_normal_loss = 10 + 5 + 8 + 9 + 4 + 9 + 10 + 9 + 9 + 6
c7_tot  = 16 + 16 + 15 +15 + 15 + 15 + 15 + 15 + 15 + 15


acc2_normal = c2_corr_normal_loss / c2_tot
acc3_normal = c3_corr_normal_loss / c3_tot
acc5_normal = c5_corr_normal_loss / c5_tot
acc7_normal = c7_corr_normal_loss / c7_tot



acc_normal = total_corrects_normal_loss / totals


print('macro2 {:.3f}'.format(acc2_normal*100))
print('macro3 {:.3f}'.format(acc3_normal*100))
print('macro5 {:.3f}'.format(acc5_normal*100))
print('macro7 {:.3f}'.format(acc7_normal*100))



print('total acc normal {:.3f}'.format(acc_normal*100))

#micro acc
micro2 = (35.71 + 42.86 + 28.57 + 21.43 + 35.71 + 42.86 + 61.54 + 30.77 + 46.15 + 30.77)/10
micro3 = (73.08 + 84.62 + 80.77 + 88.46 + 84.62 + 80.77 + 88.46 + 80.77 + 80.77 + 80.77)/10
micro5 = (18.18 + 27.27 + 18.18 + 40.00 + 60.00 + 30.00 + 30.00 + 20.00 + 20.00 + 20.00)/10
micro7 = (62.50 + 31.25 + 53.33 + 60.00 + 26.67 + 60.00 + 66.67 + 60.00 + 60.00 + 40.00)/10

print('micro2 {:.3f}'.format(micro2))
print('micro3 {:.3f}'.format(micro3))
print('micro5 {:.3f}'.format(micro5))
print('micro7 {:.3f}'.format(micro7))