|
Mean Normalized Cumulated Gain @5
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Daras et al.
|
1
|
0.68666667
|
|
2
|
Makadia et al.
|
1
|
0.6866666
|
|
3
|
Shilane et al.
|
3
|
0.68
|
|
4
|
Makadia et al.
|
2
|
0.6633333
|
|
5
|
Chaouch et al.
|
1
|
0.6566667
|
|
6
|
Papadakis et al.
|
1
|
0.65333337
|
|
7
|
Shilane et al.
|
2
|
0.6499999
|
|
8
|
Zaharia et al.
|
1
|
0.6433334
|
|
9
|
Chaouch et al.
|
2
|
0.58666664
|
|
10
|
Makadia et al.
|
3
|
0.56333333
|
|
11
|
Shilane et al.
|
1
|
0.53000003
|
|
12
|
Makadia et al.
|
4
|
0.5266666
|
|
13
|
Laga et al.
|
1
|
0.49666673
|
|
14
|
Laga et al.
|
2
|
0.46666664
|
|
15
|
Jayanti et al.
|
2
|
0.41333336
|
|
16
|
Jayanti et al.
|
3
|
0.34333327
|
|
17
|
Jayanti et al.
|
1
|
0.3
|
|
|
Mean Normalized Cumulated Gain @10
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.6123611
|
|
2
|
Makadia et al.
|
1
|
0.6070833
|
|
3
|
Daras et al.
|
1
|
0.6017763
|
|
4
|
Papadakis et al.
|
1
|
0.593443
|
|
5
|
Chaouch et al.
|
1
|
0.58320177
|
|
6
|
Shilane et al.
|
3
|
0.5756653
|
|
7
|
Shilane et al.
|
2
|
0.5573831
|
|
8
|
Zaharia et al.
|
1
|
0.5501096
|
|
9
|
Chaouch et al.
|
2
|
0.52070177
|
|
10
|
Makadia et al.
|
3
|
0.46868423
|
|
11
|
Shilane et al.
|
1
|
0.4493787
|
|
12
|
Makadia et al.
|
4
|
0.43826762
|
|
13
|
Laga et al.
|
1
|
0.39941522
|
|
14
|
Laga et al.
|
2
|
0.36566523
|
|
15
|
Jayanti et al.
|
2
|
0.31548974
|
|
16
|
Jayanti et al.
|
3
|
0.2633002
|
|
17
|
Jayanti et al.
|
1
|
0.26208335
|
|
|
Mean Normalized Cumulated Gain @25
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.549824
|
|
2
|
Makadia et al.
|
1
|
0.52457047
|
|
3
|
Daras et al.
|
1
|
0.52351165
|
|
4
|
Shilane et al.
|
3
|
0.5190807
|
|
5
|
Papadakis et al.
|
1
|
0.4988662
|
|
6
|
Zaharia et al.
|
1
|
0.48677504
|
|
7
|
Shilane et al.
|
2
|
0.48182333
|
|
8
|
Chaouch et al.
|
1
|
0.48067188
|
|
9
|
Chaouch et al.
|
2
|
0.4413401
|
|
10
|
Shilane et al.
|
1
|
0.37679142
|
|
11
|
Makadia et al.
|
3
|
0.3700427
|
|
12
|
Makadia et al.
|
4
|
0.3519792
|
|
13
|
Laga et al.
|
2
|
0.3104431
|
|
14
|
Laga et al.
|
1
|
0.30671543
|
|
15
|
Jayanti et al.
|
2
|
0.2598747
|
|
16
|
Jayanti et al.
|
3
|
0.22084087
|
|
17
|
Jayanti et al.
|
1
|
0.21214458
|
|
|
Mean Normalized Cumulated Gain @50
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.55366397
|
|
2
|
Shilane et al.
|
3
|
0.5340768
|
|
3
|
Makadia et al.
|
1
|
0.53389996
|
|
4
|
Daras et al.
|
1
|
0.52014875
|
|
5
|
Papadakis et al.
|
1
|
0.5162894
|
|
6
|
Shilane et al.
|
2
|
0.50987726
|
|
7
|
Zaharia et al.
|
1
|
0.48073068
|
|
8
|
Chaouch et al.
|
1
|
0.4753756
|
|
9
|
Chaouch et al.
|
2
|
0.44644466
|
|
10
|
Shilane et al.
|
1
|
0.40099803
|
|
11
|
Makadia et al.
|
3
|
0.38889214
|
|
12
|
Makadia et al.
|
4
|
0.3554005
|
|
13
|
Laga et al.
|
2
|
0.32345307
|
|
14
|
Laga et al.
|
1
|
0.3205712
|
|
15
|
Jayanti et al.
|
2
|
0.27093607
|
|
16
|
Jayanti et al.
|
3
|
0.2416933
|
|
17
|
Jayanti et al.
|
1
|
0.23489621
|
|
|
Mean Normalized Cumulated Gain @100
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.59063977
|
|
2
|
Papadakis et al.
|
1
|
0.58363205
|
|
3
|
Makadia et al.
|
1
|
0.56290364
|
|
4
|
Daras et al.
|
1
|
0.55910426
|
|
5
|
Shilane et al.
|
2
|
0.55472845
|
|
6
|
Shilane et al.
|
3
|
0.54925483
|
|
7
|
Zaharia et al.
|
1
|
0.5224779
|
|
8
|
Chaouch et al.
|
1
|
0.503831
|
|
9
|
Shilane et al.
|
1
|
0.45976147
|
|
10
|
Chaouch et al.
|
2
|
0.45332292
|
|
11
|
Makadia et al.
|
3
|
0.43768805
|
|
12
|
Makadia et al.
|
4
|
0.3916625
|
|
13
|
Laga et al.
|
2
|
0.3417156
|
|
14
|
Laga et al.
|
1
|
0.33722803
|
|
15
|
Jayanti et al.
|
2
|
0.33036745
|
|
16
|
Jayanti et al.
|
3
|
0.30116224
|
|
17
|
Jayanti et al.
|
1
|
0.28585094
|
|
|
Mean Normalized Discounted Cumulated Gain @5
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Daras et al.
|
1
|
0.70158577
|
|
2
|
Makadia et al.
|
1
|
0.6977325
|
|
3
|
Shilane et al.
|
3
|
0.69247633
|
|
4
|
Chaouch et al.
|
1
|
0.68250453
|
|
5
|
Makadia et al.
|
2
|
0.67948586
|
|
6
|
Shilane et al.
|
2
|
0.667565
|
|
7
|
Zaharia et al.
|
1
|
0.66745985
|
|
8
|
Papadakis et al.
|
1
|
0.66591275
|
|
9
|
Chaouch et al.
|
2
|
0.59366554
|
|
10
|
Makadia et al.
|
3
|
0.58877
|
|
11
|
Makadia et al.
|
4
|
0.56011623
|
|
12
|
Shilane et al.
|
1
|
0.55741596
|
|
13
|
Laga et al.
|
1
|
0.5264585
|
|
14
|
Laga et al.
|
2
|
0.49297804
|
|
15
|
Jayanti et al.
|
2
|
0.43654123
|
|
16
|
Jayanti et al.
|
3
|
0.36803645
|
|
17
|
Jayanti et al.
|
1
|
0.34211314
|
|
|
Mean Normalized Discounted Cumulated Gain @10
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Daras et al.
|
1
|
0.6447029
|
|
2
|
Makadia et al.
|
1
|
0.6428936
|
|
3
|
Makadia et al.
|
2
|
0.64282435
|
|
4
|
Chaouch et al.
|
1
|
0.62863
|
|
5
|
Papadakis et al.
|
1
|
0.62389594
|
|
6
|
Shilane et al.
|
3
|
0.62257665
|
|
7
|
Shilane et al.
|
2
|
0.60229075
|
|
8
|
Zaharia et al.
|
1
|
0.60051906
|
|
9
|
Chaouch et al.
|
2
|
0.54900736
|
|
10
|
Makadia et al.
|
3
|
0.5204231
|
|
11
|
Shilane et al.
|
1
|
0.49784642
|
|
12
|
Makadia et al.
|
4
|
0.49476814
|
|
13
|
Laga et al.
|
1
|
0.4566308
|
|
14
|
Laga et al.
|
2
|
0.4200712
|
|
15
|
Jayanti et al.
|
2
|
0.36674303
|
|
16
|
Jayanti et al.
|
3
|
0.30915537
|
|
17
|
Jayanti et al.
|
1
|
0.30314
|
|
|
Mean Normalized Discounted Cumulated Gain @25
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.5906021
|
|
2
|
Daras et al.
|
1
|
0.5790902
|
|
3
|
Makadia et al.
|
1
|
0.5768538
|
|
4
|
Shilane et al.
|
3
|
0.5664072
|
|
5
|
Papadakis et al.
|
1
|
0.5482698
|
|
6
|
Chaouch et al.
|
1
|
0.5469625
|
|
7
|
Zaharia et al.
|
1
|
0.5399632
|
|
8
|
Shilane et al.
|
2
|
0.53455895
|
|
9
|
Chaouch et al.
|
2
|
0.48525622
|
|
10
|
Makadia et al.
|
3
|
0.44044456
|
|
11
|
Shilane et al.
|
1
|
0.4300153
|
|
12
|
Makadia et al.
|
4
|
0.4215276
|
|
13
|
Laga et al.
|
1
|
0.3765074
|
|
14
|
Laga et al.
|
2
|
0.36147305
|
|
15
|
Jayanti et al.
|
2
|
0.310237
|
|
16
|
Jayanti et al.
|
3
|
0.26501364
|
|
17
|
Jayanti et al.
|
1
|
0.253685
|
|
|
Mean Normalized Discounted Cumulated Gain @50
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.58311766
|
|
2
|
Makadia et al.
|
1
|
0.57122463
|
|
3
|
Daras et al.
|
1
|
0.5627933
|
|
4
|
Shilane et al.
|
3
|
0.560674
|
|
5
|
Papadakis et al.
|
1
|
0.5427566
|
|
6
|
Shilane et al.
|
2
|
0.5359957
|
|
7
|
Chaouch et al.
|
1
|
0.5274883
|
|
8
|
Zaharia et al.
|
1
|
0.52680373
|
|
9
|
Chaouch et al.
|
2
|
0.47129437
|
|
10
|
Makadia et al.
|
3
|
0.43423268
|
|
11
|
Shilane et al.
|
1
|
0.43022183
|
|
12
|
Makadia et al.
|
4
|
0.41051653
|
|
13
|
Laga et al.
|
1
|
0.36939204
|
|
14
|
Laga et al.
|
2
|
0.35609832
|
|
15
|
Jayanti et al.
|
2
|
0.3012475
|
|
16
|
Jayanti et al.
|
3
|
0.26463157
|
|
17
|
Jayanti et al.
|
1
|
0.2545676
|
|
|
Mean Normalized Discounted Cumulated Gain @100
|
|
Rank
|
Participant
|
RunNr
|
Value
|
|
1
|
Makadia et al.
|
2
|
0.5914547
|
|
2
|
Makadia et al.
|
1
|
0.57657075
|
|
3
|
Daras et al.
|
1
|
0.5697008
|
|
4
|
Papadakis et al.
|
1
|
0.5612176
|
|
5
|
Shilane et al.
|
3
|
0.55399626
|
|
6
|
Shilane et al.
|
2
|
0.54691064
|
|
7
|
Zaharia et al.
|
1
|
0.5352322
|
|
8
|
Chaouch et al.
|
1
|
0.52931577
|
|
9
|
Chaouch et al.
|
2
|
0.4615041
|
|
10
|
Shilane et al.
|
1
|
0.44907773
|
|
11
|
Makadia et al.
|
3
|
0.44294664
|
|
12
|
Makadia et al.
|
4
|
0.4129984
|
|
13
|
Laga et al.
|
1
|
0.36840227
|
|
14
|
Laga et al.
|
2
|
0.35428196
|
|
15
|
Jayanti et al.
|
2
|
0.31652725
|
|
16
|
Jayanti et al.
|
3
|
0.2823436
|
|
17
|
Jayanti et al.
|
1
|
0.2733193
|
|