Vibrational entropy @ 705K - meV/atom - S_705#
ARFS Top features#
ARFS selected descriptors#

Correlation analysis#
Distance correlation#

Dependency graphs#

Feature learnability#

Model performance#
5-Fold CV Metrics overview#
RF - MATMINER
train_rmse |
test_rmse |
train_errors |
test_errors |
train_r2 |
test_r2 |
|
|---|---|---|---|---|---|---|
mean |
0.00886 |
0.02418 |
0.0066 |
0.01812 |
0.99568 |
0.96744 |
min |
0.0088 |
0.021 |
0.0065 |
0.0161 |
0.9955 |
0.9627 |
max |
0.009 |
0.0258 |
0.0067 |
0.0195 |
0.9958 |
0.9749 |
std |
8e-05 |
0.00175545 |
8.94427e-05 |
0.00118051 |
0.000116619 |
0.00408098 |
RF - MATMINER+LOBSTER
train_rmse |
test_rmse |
train_errors |
test_errors |
train_r2 |
test_r2 |
|
|---|---|---|---|---|---|---|
mean |
0.00892 |
0.0244 |
0.00672 |
0.01826 |
0.99562 |
0.96688 |
min |
0.0088 |
0.0216 |
0.0066 |
0.0164 |
0.9955 |
0.9628 |
max |
0.009 |
0.0262 |
0.0068 |
0.0197 |
0.9957 |
0.9735 |
std |
7.48331e-05 |
0.0016334 |
7.48331e-05 |
0.00119264 |
7.48331e-05 |
0.003603 |
MODNet - MATMINER
train_rmse |
test_rmse |
train_errors |
test_errors |
train_r2 |
test_r2 |
|
|---|---|---|---|---|---|---|
mean |
0.00932 |
0.01436 |
0.00696 |
0.0107 |
0.99514 |
0.98842 |
min |
0.0081 |
0.0126 |
0.0062 |
0.0093 |
0.9944 |
0.9854 |
max |
0.01 |
0.0159 |
0.0074 |
0.0119 |
0.9962 |
0.991 |
std |
0.000775629 |
0.00132 |
0.000475815 |
0.00100598 |
0.00072 |
0.00232241 |
MODNet - MATMINER+LOBSTER
train_rmse |
test_rmse |
train_errors |
test_errors |
train_r2 |
test_r2 |
|
|---|---|---|---|---|---|---|
mean |
0.01008 |
0.01464 |
0.0075 |
0.0109 |
0.99434 |
0.98798 |
min |
0.009 |
0.0131 |
0.0067 |
0.0097 |
0.9929 |
0.986 |
max |
0.0115 |
0.0159 |
0.0084 |
0.0116 |
0.9955 |
0.9903 |
std |
0.000863481 |
0.000945727 |
0.000596657 |
0.000672309 |
0.000960417 |
0.00175773 |
Corrected resampled t-test on 10-fold CV#
Summary
t_stat |
p_value |
significance_stars |
d_av |
rel_improvement |
percent_folds_improved |
|
|---|---|---|---|---|---|---|
RF |
-0.417521 |
0.656959 |
-0.0519249 |
-0.408832 |
20 |
|
MODNet |
0.817179 |
0.217462 |
0.268921 |
3.25824 |
60 |


Model Explainer#
PFI#

SHAP#

Misc#
ARFS n-iter convergence checks#

MAE/ fold from 10-fold CV#
Alternative visual summary of input data for t-test

