Dataset Corel Food

Basic characteristics Corel Food

7947

instances

2000

bags

9

features

100

positive bags

between 2 and 13

instances per bag

1900

negative bags

Results Corel Food

AUC dataset 119
classifier error
AUC EER meanPrec avCost
APR 50.3 (0.1) 49.7 (0.1) 5.0 (0.0) 24.9 (0.0)
DiverseDensity (10.000000) 59.9 (0.4) 42.1 (1.1) 8.5 (0.9) 20.3 (0.5)
EMDD (10.000000) 93.2 (0.0) 15.1 (0.0) 59.3 (0.0) 7.6 (0.0)
MILBoost (100 rounds) 92.9 (0.6) 13.3 (1.3) 57.9 (1.5) 7.3 (0.6)
Citation 1NN, c=1 78.0 (0.5) 22.5 (0.6) 37.7 (1.3) 15.4 (0.5)
Citation 3NN, c=5 89.9 (0.9) 13.7 (1.1) 62.8 (3.6) 8.8 (0.7)
MI-SVM p=1.000000 85.4 (1.3) 21.0 (1.3) 31.7 (1.3) 11.7 (0.5)
MI-SVM r=10.000000 93.5 (0.7) 13.2 (0.9) 54.9 (0.8) 6.9 (0.3)
MILES p=1.000000 93.5 (0.7) 13.0 (1.4) 71.8 (1.6) 6.4 (0.5)
MILES r=10.000000 95.8 (0.3) 10.2 (0.6) 74.6 (2.2) 5.3 (0.5)
SVmil mahal.K 81.3 (0.5) 26.9 (1.5) 23.2 (1.0) 13.2 (0.3)
SVmil haussd.K 87.3 (0.2) 19.6 (1.0) 29.9 (1.3) 10.6 (0.3)
SVmil emd.K 90.2 (0.0) 17.3 (0.4) 39.6 (1.6) 9.2 (0.1)
SimpleMIL with Logistic2 91.1 (0.1) 16.7 (1.0) 45.4 (1.3) 8.6 (0.1)
mean-inst+Logistic2 93.6 (0.1) 14.5 (0.8) 68.9 (0.7) 6.8 (0.2)
extremes+Logistic2 92.7 (0.3) 14.9 (0.8) 60.0 (0.5) 7.6 (0.2)
cov-coef+Logistic2 81.5 (0.7) 24.8 (0.7) 31.6 (0.9) 13.4 (0.2)
Bag of Words (k=10)+Logistic2 87.4 (1.0) 20.6 (1.8) 39.2 (2.0) 10.7 (0.8)
Bag of Words (k=100)+Logistic2 87.7 (2.2) 19.8 (1.7) 53.8 (2.2) 9.9 (1.3)
PposteriorMIL 92.4 (1.0) 13.8 (1.3) 61.5 (2.8) 7.6 (0.7)
Dissim.repr. AUC dataset 119
classifier error
AUC EER meanPrec avCost
minmin.K+Logistic2 97.2 (0.2) 9.0 (1.4) 84.7 (1.2) 3.8 (0.2)
summin.K+Logistic2 90.9 (0.7) 12.5 (1.5) 62.7 (2.2) 7.8 (0.4)
meanmin.K+Logistic2 93.8 (1.1) 11.2 (1.4) 65.8 (2.1) 6.1 (0.7)
meanmean.K+Logistic2 92.6 (0.4) 15.0 (0.9) 69.5 (0.6) 7.3 (0.2)
mahal.K+Logistic2 61.3 (2.0) 41.5 (1.6) 14.3 (1.1) 20.0 (0.5)
haussd.K+Logistic2 87.3 (1.7) 17.2 (3.0) 47.5 (5.7) 10.6 (1.1)
emd.K+Logistic2 NaN (0.0) NaN (0.0) NaN (0.0) NaN (0.0)
linass.K+Logistic2 NaN (0.0) NaN (0.0) NaN (0.0) NaN (0.0)