Helmholtz energy @ 705K - meV/atom - H_705#

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

6.6628

18.1112

4.91462

13.4184

0.99574

0.96826

min

6.5445

16.7774

4.816

12.2073

0.9956

0.9649

max

6.7686

19.3591

4.9787

14.3122

0.9959

0.9719

std

0.0831141

0.968364

0.0610702

0.794522

0.00010198

0.00230877

RF - MATMINER+LOBSTER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

6.622

18.0368

4.93562

13.447

0.99578

0.96856

min

6.4909

16.5873

4.8139

12.1975

0.9956

0.9668

max

6.7971

19.5815

5.03

14.4323

0.9959

0.9726

std

0.115579

1.02301

0.0785848

0.858628

0.000116619

0.00211149

MODNet - MATMINER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

3.84202

10.0375

2.62622

7.22558

0.99852

0.99016

min

3.3672

8.5071

2.3459

6.3834

0.9975

0.9869

max

5.0759

11.4619

3.4663

8.2574

0.9989

0.9928

std

0.626903

1.11496

0.423513

0.719284

0.000515364

0.00222764

MODNet - MATMINER+LOBSTER

train_rmse

test_rmse

train_errors

test_errors

train_r2

test_r2

mean

3.78794

9.9903

2.53938

7.25782

0.9986

0.9903

min

3.1643

8.715

2.1522

6.4654

0.998

0.9888

max

4.5003

10.7757

2.9598

7.6685

0.999

0.9924

std

0.451815

0.732369

0.279269

0.43552

0.000352136

0.00138996

Corrected resampled t-test on 10-fold CV#

Summary

t_stat

p_value

significance_stars

d_av

rel_improvement

percent_folds_improved

RF

-0.889042

0.80144

-0.153435

-1.1443

40

MODNet

2.14591

0.0302188

*

0.324657

3.10819

90

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