Simulation Visualizations
Loss vs log_2(n)
Loss vs log(n) EMPIRICAL_TRAIN

Loss vs log(n) THEORETICAL

Loss vs log(n) EMPIRICAL_TEST

Loss vs log(n) 1 features

Loss vs log(n) 2 features

Time consumption(n)
Iterations vs log_2(n)
Iterations vs log(n) EMPIRICAL_TRAIN

Iterations vs log(n) THEORETICAL

Iterations vs log(n) EMPIRICAL_TEST

Iterations vs log(n) 1 features

Iterations vs log(n) 2 features

N* Relationship Matrixes
N* theoretical
| dim |
1 feature(s) |
2 feature(s) |
| 1 feature(s) |
NaN |
8.3697 |
| 2 feature(s) |
8.3697 |
NaN |
N* empirical test
| dim |
1 feature(s) |
2 feature(s) |
| 1 feature(s) |
NaN |
8.8275 |
| 2 feature(s) |
8.8275 |
NaN |
Loss Tables
Table EMPIRICAL_TRAIN
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.000000 |
0.000000 |
| 4 |
0.119438 |
0.038953 |
| 8 |
0.140067 |
0.069241 |
| 16 |
0.148734 |
0.087188 |
| 32 |
0.153767 |
0.097299 |
| 64 |
0.156215 |
0.103242 |
| 128 |
0.157985 |
0.107048 |
| 256 |
0.158131 |
0.108119 |
| 512 |
0.158152 |
0.108587 |
| 1024 |
0.158513 |
0.109523 |
Table THEORETICAL
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.188354 |
0.279121 |
| 4 |
0.184692 |
0.231951 |
| 8 |
0.177483 |
0.179262 |
| 16 |
0.169804 |
0.144287 |
| 32 |
0.164255 |
0.126099 |
| 64 |
0.161723 |
0.118099 |
| 128 |
0.160197 |
0.114007 |
| 256 |
0.159396 |
0.112007 |
| 512 |
0.159040 |
0.111007 |
| 1024 |
0.158861 |
0.110583 |
Table EMPIRICAL_TEST
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.253005 |
0.406726 |
| 4 |
0.204762 |
0.270813 |
| 8 |
0.180299 |
0.184423 |
| 16 |
0.169635 |
0.144718 |
| 32 |
0.164514 |
0.125979 |
| 64 |
0.161967 |
0.118141 |
| 128 |
0.160281 |
0.113928 |
| 256 |
0.159798 |
0.111910 |
| 512 |
0.159414 |
0.111027 |
| 1024 |
0.158990 |
0.110352 |
Time Consumption Tables
Table EMPIRICAL_TRAIN
| loss type |
time (min) |
| EMPIRICAL_TRAIN |
7.249217 |
| THEORETICAL |
4.786495 |
| EMPIRICAL_TEST |
9.056499 |
Table THEORETICAL
| # features |
time (min) |
| 1 |
4.770540 |
| 2 |
5.329753 |
Table EMPIRICAL_TEST
| n |
time (min) |
| 0 |
2.722941 |
| 1 |
2.021335 |
| 2 |
1.327801 |
| 3 |
0.903647 |
| 4 |
0.696609 |
| 5 |
0.516901 |
| 6 |
0.531737 |
| 7 |
0.633473 |
| 8 |
1.061336 |
| 9 |
2.283777 |
Iterations Tables
Table EMPIRICAL_TRAIN
| n |
1 feature(s) |
2 feature(s) |
| 2 |
11413 |
11413 |
| 4 |
16000 |
16000 |
| 8 |
11200 |
11200 |
| 16 |
8000 |
8000 |
| 32 |
5600 |
5600 |
| 64 |
4000 |
4000 |
| 128 |
2800 |
2800 |
| 256 |
2000 |
2000 |
| 512 |
1400 |
1400 |
| 1024 |
1000 |
1000 |
Table THEORETICAL
| n |
1 feature(s) |
2 feature(s) |
| 2 |
14012 |
18871 |
| 4 |
8560 |
16000 |
| 8 |
5712 |
11200 |
| 16 |
4120 |
8000 |
| 32 |
3836 |
3164 |
| 64 |
2120 |
3220 |
| 128 |
1484 |
1848 |
| 256 |
1080 |
1010 |
| 512 |
721 |
735 |
| 1024 |
505 |
505 |
Table EMPIRICAL_TEST
| n |
1 feature(s) |
2 feature(s) |
| 2 |
19662 |
22600 |
| 4 |
16000 |
12720 |
| 8 |
10864 |
9912 |
| 16 |
6800 |
4200 |
| 32 |
3164 |
5600 |
| 64 |
2140 |
2020 |
| 128 |
2058 |
1904 |
| 256 |
1020 |
1010 |
| 512 |
1022 |
1099 |
| 1024 |
755 |
540 |