Helmholtz energy @ 305K - meV/atom - H_305#

ARFS Top features#

ARFS selected descriptors#

Relevant Descriptors


Correlation analysis#

Distance correlation#

Distance correlation heatmap

Dependency graphs#

Dependency graph

Feature learnability#

Feature learnability


Model performance#

5-Fold CV Metrics overview#

RF - MATMINER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

3.24624

8.7961

2.33484

6.34158

0.99588

0.9696

min

3.1736

8.129

2.2683

5.6293

0.9958

0.9673

max

3.2988

9.8879

2.3664

6.8008

0.9961

0.9728

std

0.0449518

0.638485

0.0353167

0.406556

0.000116619

0.0020775

RF - MATMINER+LOBSTER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

3.22482

8.76756

2.34848

6.37144

0.99594

0.96978

min

3.0767

8.1564

2.2415

5.7655

0.9958

0.9669

max

3.3148

9.9417

2.4256

6.8674

0.9963

0.9726

std

0.0881795

0.62985

0.0645563

0.388967

0.000185472

0.00192187

MODNet - MATMINER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

1.5738

4.71684

1.0519

3.28224

0.99904

0.99104

min

1.5316

3.8923

0.9973

2.9287

0.9989

0.9874

max

1.6613

5.6002

1.1161

3.7321

0.9991

0.9938

std

0.0469002

0.667415

0.0380284

0.331117

8e-05

0.00263636

MODNet - MATMINER+LOBSTER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

1.79112

4.67252

1.1532

3.29758

0.99872

0.9912

min

1.5439

4.0015

1.0339

2.9047

0.9982

0.9871

max

2.0943

5.6694

1.3219

3.9039

0.9991

0.9938

std

0.240051

0.582246

0.130816

0.350127

0.000386782

0.00241909

Corrected resampled t-test on 10-fold CV#

Summary

t_stat

p_value

significance_stars

d_av

rel_improvement

percent_folds_improved

RF

0.247006

0.405223

0.0316531

0.245699

60

MODNet

-0.170928

0.565969

-0.0266254

-0.414252

50

RF t-test

MODNet t-test


Model Explainer#

PFI#

RF pfi MODNet pfi

SHAP#

RF shap MODNet Shap


Misc#

ARFS n-iter convergence checks#

Convergence

MAE/ fold from 10-fold CV#

Alternative visual summary of input data for t-test

RF per fold MAEs

MODNet per fold MAEs