1 Dataset visualizations
2 Result summary
3 Comparisons and statistical tests
4 Balance between AMI and G-mean
- 4.1 beta*AMI + (1-beta)*G-mean for best models
- 4.2 beta*AMI + (1-beta)*G-mean for mean models

1 Dataset visualizations

Two-dimensional dataset visualizations. Left column: clusters differentiated using shapes and colors. Right column: types of minority class examples in color-coded as: safe - green, borderline - orange, rare - red, outlier - black.

Clusters

Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data: Supplement

Dariusz Brzezinski, Mateusz Lango, Sebastian Firlik

1 Dataset visualizations

Clusters

Example types

clover

clover^b

clover^u

clover^r

Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data: Supplement

Dariusz Brzezinski, Mateusz Lango, Sebastian Firlik

1 Dataset visualizations

Clusters

Example types

clover

cloverb

cloveru

cloverr

clover^b

clover^u

clover^r