You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I have downloaded the library and run the given example for simple Brownian motion. The results seem to be puzzling as all the statistical output for 4 different interpolation methods have the exact same training and testing accuracy as well as standard deviation.
I assume there might be some error in printing the results. The rest is fine. The final statistic part of output is as follows:
[100, 4096, 10, 256]
Train Accuracy: 0.8145344853401184
Test Accuracy: 0.8037109375
[100, 4096, 10, 256]
Train Accuracy: 0.8245442509651184
Test Accuracy: 0.8294270634651184
[100, 4096, 10, 256]
Train Accuracy: 0.822265625
Test Accuracy: 0.8216145634651184
[100, 4096, 10, 256]
Train Accuracy: 0.824462890625
Test Accuracy: 0.822265625
[100, 4096, 10, 256]
Train Accuracy: 0.8116047978401184
Test Accuracy: 0.8108723759651184
Mean train: 0.8194824457168579, Mean test: 0.817578136920929
s.d. train: 0.005379822105169296, s.d. test: 0.009120622649788857
[100, 4096, 10, 256]
Train Accuracy: 0.8145344853401184
Test Accuracy: 0.8037109375
[100, 4096, 10, 256]
Train Accuracy: 0.8245442509651184
Test Accuracy: 0.8294270634651184
[100, 4096, 10, 256]
Train Accuracy: 0.822265625
Test Accuracy: 0.8216145634651184
[100, 4096, 10, 256]
Train Accuracy: 0.824462890625
Test Accuracy: 0.822265625
[100, 4096, 10, 256]
Train Accuracy: 0.8116047978401184
Test Accuracy: 0.8108723759651184
Mean train: 0.8194824457168579, Mean test: 0.817578136920929
s.d. train: 0.005379822105169296, s.d. test: 0.009120622649788857
[100, 4096, 10, 256]
Train Accuracy: 0.8145344853401184
Test Accuracy: 0.8037109375
[100, 4096, 10, 256]
Train Accuracy: 0.8245442509651184
Test Accuracy: 0.8294270634651184
[100, 4096, 10, 256]
Train Accuracy: 0.822265625
Test Accuracy: 0.8216145634651184
[100, 4096, 10, 256]
Train Accuracy: 0.824462890625
Test Accuracy: 0.822265625
[100, 4096, 10, 256]
Train Accuracy: 0.8116047978401184
Test Accuracy: 0.8108723759651184
Mean train: 0.8194824457168579, Mean test: 0.817578136920929
s.d. train: 0.005379822105169296, s.d. test: 0.009120622649788857
[100, 4096, 10, 256]
Train Accuracy: 0.8145344853401184
Test Accuracy: 0.8037109375
[100, 4096, 10, 256]
Train Accuracy: 0.8245442509651184
Test Accuracy: 0.8294270634651184
[100, 4096, 10, 256]
Train Accuracy: 0.822265625
Test Accuracy: 0.8216145634651184
[100, 4096, 10, 256]
Train Accuracy: 0.824462890625
Test Accuracy: 0.822265625
[100, 4096, 10, 256]
Train Accuracy: 0.8116047978401184
Test Accuracy: 0.8108723759651184
Mean train: 0.8194824457168579, Mean test: 0.817578136920929
s.d. train: 0.005379822105169296, s.d. test: 0.009120622649788857
The text was updated successfully, but these errors were encountered:
Hi, I have downloaded the library and run the given example for simple Brownian motion. The results seem to be puzzling as all the statistical output for 4 different interpolation methods have the exact same training and testing accuracy as well as standard deviation.
I assume there might be some error in printing the results. The rest is fine. The final statistic part of output is as follows:
The text was updated successfully, but these errors were encountered: