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 |
NaN |
| 2 feature(s) |
NaN |
NaN |
N* empirical test
| dim |
1 feature(s) |
2 feature(s) |
| 1 feature(s) |
NaN |
NaN |
| 2 feature(s) |
NaN |
NaN |
Loss Tables
Table EMPIRICAL_TRAIN
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.000000 |
0.000000 |
| 4 |
0.119125 |
0.049078 |
| 8 |
0.139900 |
0.073415 |
| 16 |
0.148281 |
0.090852 |
| 32 |
0.153538 |
0.102612 |
| 64 |
0.155770 |
0.109297 |
| 128 |
0.157726 |
0.112051 |
| 256 |
0.157879 |
0.113865 |
| 512 |
0.158026 |
0.114884 |
| 1024 |
0.158317 |
0.115155 |
Table THEORETICAL
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.187787 |
0.169082 |
| 4 |
0.185503 |
0.167384 |
| 8 |
0.177561 |
0.154068 |
| 16 |
0.169974 |
0.139468 |
| 32 |
0.164631 |
0.128985 |
| 64 |
0.161835 |
0.123271 |
| 128 |
0.160139 |
0.119754 |
| 256 |
0.159488 |
0.117854 |
| 512 |
0.159036 |
0.116892 |
| 1024 |
0.158854 |
0.116498 |
Table EMPIRICAL_TEST
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.252349 |
0.206634 |
| 4 |
0.205495 |
0.177165 |
| 8 |
0.179747 |
0.155336 |
| 16 |
0.169703 |
0.139307 |
| 32 |
0.164573 |
0.128917 |
| 64 |
0.161659 |
0.123183 |
| 128 |
0.159681 |
0.119540 |
| 256 |
0.159013 |
0.117692 |
| 512 |
0.158744 |
0.116435 |
| 1024 |
0.158562 |
0.116143 |
Time Consumption Tables
Table EMPIRICAL_TRAIN
| loss type |
time (min) |
| EMPIRICAL_TRAIN |
0.088442 |
| THEORETICAL |
0.056306 |
| EMPIRICAL_TEST |
0.105085 |
Table THEORETICAL
| # features |
time (min) |
| 1 |
0.063190 |
| 2 |
0.061682 |
Table EMPIRICAL_TEST
| n |
time (min) |
| 0 |
0.033874 |
| 1 |
0.023735 |
| 2 |
0.019470 |
| 3 |
0.012683 |
| 4 |
0.009388 |
| 5 |
0.007218 |
| 6 |
0.006295 |
| 7 |
0.007815 |
| 8 |
0.012056 |
| 9 |
0.027535 |
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 |
12430 |
22600 |
| 4 |
8320 |
16000 |
| 8 |
9744 |
5992 |
| 16 |
4080 |
4520 |
| 32 |
2996 |
3332 |
| 64 |
2140 |
2180 |
| 128 |
1414 |
1568 |
| 256 |
1010 |
1070 |
| 512 |
707 |
728 |
| 1024 |
530 |
520 |
Table EMPIRICAL_TEST
| n |
1 feature(s) |
2 feature(s) |
| 2 |
19210 |
21357 |
| 4 |
8560 |
10480 |
| 8 |
11200 |
11200 |
| 16 |
4800 |
6520 |
| 32 |
2912 |
4620 |
| 64 |
2500 |
2320 |
| 128 |
1484 |
1414 |
| 256 |
1480 |
1200 |
| 512 |
707 |
728 |
| 1024 |
540 |
510 |