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 |
0.119594 |
0.076547 |
| 8 |
0.140681 |
0.103560 |
| 16 |
0.148992 |
0.120242 |
| 32 |
0.152768 |
0.131775 |
| 64 |
0.155969 |
0.138957 |
| 128 |
0.157578 |
0.141621 |
| 256 |
0.157609 |
0.143336 |
| 512 |
0.158032 |
0.144756 |
| 1024 |
0.158205 |
0.144961 |
Table THEORETICAL
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.188031 |
0.182261 |
| 4 |
0.185192 |
0.180874 |
| 8 |
0.177694 |
0.172600 |
| 16 |
0.169714 |
0.163474 |
| 32 |
0.164555 |
0.156457 |
| 64 |
0.161731 |
0.152299 |
| 128 |
0.160147 |
0.149486 |
| 256 |
0.159456 |
0.147727 |
| 512 |
0.159034 |
0.146826 |
| 1024 |
0.158852 |
0.146441 |
Table EMPIRICAL_TEST
| n |
1 feature(s) |
2 feature(s) |
| 2 |
0.251805 |
0.238052 |
| 4 |
0.205544 |
0.195577 |
| 8 |
0.180053 |
0.174927 |
| 16 |
0.169730 |
0.163577 |
| 32 |
0.164665 |
0.156744 |
| 64 |
0.161782 |
0.152333 |
| 128 |
0.159719 |
0.149357 |
| 256 |
0.159185 |
0.147415 |
| 512 |
0.158656 |
0.146609 |
| 1024 |
0.158375 |
0.146083 |
Time Consumption Tables
Table EMPIRICAL_TRAIN
| loss type |
time (min) |
| EMPIRICAL_TRAIN |
0.090507 |
| THEORETICAL |
0.053781 |
| EMPIRICAL_TEST |
0.098854 |
Table THEORETICAL
| # features |
time (min) |
| 1 |
0.062380 |
| 2 |
0.059265 |
Table EMPIRICAL_TEST
| n |
time (min) |
| 0 |
0.027471 |
| 1 |
0.024332 |
| 2 |
0.017635 |
| 3 |
0.012021 |
| 4 |
0.008856 |
| 5 |
0.007546 |
| 6 |
0.006411 |
| 7 |
0.008214 |
| 8 |
0.013199 |
| 9 |
0.029383 |
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 |
14803 |
18758 |
| 4 |
9680 |
10240 |
| 8 |
8008 |
7224 |
| 16 |
5320 |
4080 |
| 32 |
2912 |
3780 |
| 64 |
2340 |
2280 |
| 128 |
1414 |
1442 |
| 256 |
1020 |
1070 |
| 512 |
728 |
714 |
| 1024 |
530 |
520 |
Table EMPIRICAL_TEST
| n |
1 feature(s) |
2 feature(s) |
| 2 |
12543 |
16159 |
| 4 |
12960 |
8560 |
| 8 |
9688 |
6328 |
| 16 |
4600 |
4360 |
| 32 |
2856 |
2996 |
| 64 |
2580 |
2800 |
| 128 |
1456 |
1484 |
| 256 |
1420 |
1300 |
| 512 |
896 |
896 |
| 1024 |
680 |
515 |