|
|
|
|
|
|
|||||
|
|
|
|
|
|
|
|
|
|
|
| ES | 6 | 2 | 6 | 4 | 3 | 2 | 2 | 2 | |
|
|
[5, 7] | [650, 650] | [5, 50] | [5, 1782] | [5, 2000] | [10, 2000] | [5, 1500] | [5, 1500] | |
| d | 1 | 0.01 | 1 | 0.01 | 0.01 | 1 | 1 | 1 | |
| s | 0.8 | 0.6 | 1 | 1 | 0.6 | 0.6 | 1 | 0.7 | |
| Positive ES | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Negative ES | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Heterogeneous | |||||||||
| ES | 6 | 2 | 6 | 4 | 3 | 2 | 2 | 2 | |
| Mandatory ES | 4 | 1 | 6 | 4 | 1 | 1 | 2 | 1 | |
| n | 62 | 72 | 77 | 58 | |||||
|
|
40 | 47 | 58 | 32 | |||||
| r | 2000 | 7129 | 6285 | 6285 | |||||
| M | 4.5 | ||||||||
|
|
[-4.5, 4.5] | ||||||||
|
|
[1.5, 3.5] | ||||||||
| Common ES | 0 | ||||||||
| p | 0.009 | ||||||||
| e | 0.0005 | ||||||||
|
|
0.15 | ||||||||
Table 5 shows the mean and the standard deviation we used to generate simple gaussian-based distributions of the
series of
synthetic datasets.
| series |
||
| class |
class |
|
| vectors |
vectors |
|
| Modified components | |
|
| mean | |
|
| standard deviation | |
|
| series |
||
| class |
class |
|
| vectors |
vectors |
|
| Modified components | |
|
| mean | |
|
| standard deviation | |
|
| series |
||
| class |
class |
|
| vectors |
vectors |
|
| Modified components | |
|
| mean | |
|
| standard deviation | |
|
| series |
||
| class |
class |
|
| vectors |
vectors |
|
| Modified components | |
|
| mean | |
|
| standard deviation | |
|
| series |
||
| class |
class |
|
| vectors |
vectors |
|
| Modified components | |
|
| mean | |
|
| standard deviation | |
|