| 1st split | 2nd split | 3rd split | 4th split |
---|
method
|
Rank
|
Pearson
|
rank
|
Pearson
|
rank
|
Pearson
|
rank
|
Pearson
|
GSZ-score |
0.6878
|
0.8427
|
0.7021
|
0.8463
|
0.7051
|
0.8521
|
0.6867
|
0.8194
|
t-test |
0.6236
|
0.7291
|
0.686
|
0.7715
|
0.6932
|
0.7763
|
0.7404
|
0.7996
|
KS test | 0.5402 | 0.585 | 0.5768 | 0.6197 | 0.5824 | 0.6282 | 0.5845 | 0.6145 |
modKS | 0.6183 | 0.6397 | 0.6443 | 0.6658 | 0.6343 | 0.6554 | 0.6952 | 0.7083 |
iGA | 0.6134 | 0.7261 | 0.6424 | 0.7401 | 0.6358 | 0.7562 | 0.6239 | 0.7243 |
- Rank and Pearson correlation between the results from two halves of the dataset for each method (case i). The best result is highlighted with bold font and the second best is underlined. Notice that GSZ-score has the highest correlation with both correlation measures. t-test shows the second best performance. The only deviation is the 4th split where t-test shows the best rank correlation, although even in that case GSZ-score still shows the best Pearson correlation.