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Explainable AI (XAI) : Permutation Importance

score 113 · Answer 1 · 2023-11-03T14:53:40.790000

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Explainable AI (XAI) : Permutation Importance

113 views Asked by Saif_adib At 03 November 2023 at 14:53

score 101 · Answer 2 · 2023-06-22T01:05:01.040000

Python render eli5 explanation to image

101 views Asked by Marc Bacvanski At 22 June 2023 at 01:05

score 110 · Answer 3 · 2022-10-03T07:59:30.233000

eli5 output score explained using gain?

110 views Asked by Henri At 03 October 2022 at 07:59

score 765 · Answer 4 · 2022-08-31T13:30:33.497000

Issue with importing TextExplainer from eli5.lime package relating to deprecated 'itemfreq' function

765 views Asked by ChrisIreland At 31 August 2022 at 13:30

score 545 · Answer 5 · 2022-07-13T12:57:37.230000

eli5 and SHAP for interpreting XGBoost results

545 views Asked by Nata At 13 July 2022 at 12:57

score 5131 · Answer 6 · 2022-07-08T14:49:08.567000

ModuleNotFoundError: No module named 'sklearn.metrics.scorer'

5.1k views Asked by Supreetha Krishna At 08 July 2022 at 14:49

score 276 · Answer 7 · 2022-05-30T17:29:04.857000

Eli5: AttributeError: 'HTML' object has no attribute 'highlight_spaces'

276 views Asked by Slowat_Kela At 30 May 2022 at 17:29

score 7823 · Answer 8 · 2022-05-08T17:09:42.953000

AttributeError: module 'jinja2.ext' has no attribute 'with_'

7.8k views Asked by Sanushi Salgado At 08 May 2022 at 17:09

score 271 · Answer 9 · 2022-03-09T23:35:27.300000

Eli5.Sklearn PermutationImportance() -- TypeError: check_cv() takes from 0 to 2 positional arguments but 3 were given

271 views Asked by Blaine K At 09 March 2022 at 23:35

score 212 · Answer 10 · 2021-10-16T02:33:15.387000

ELI5 package yielding all positive weights for XGBoost feature importance

212 views Asked by Sandro At 16 October 2021 at 02:33

score 565 · Answer 11 · 2021-04-30T22:13:29.467000

TypeError when trying to explain weights of XGBoost Classifier

565 views Asked by TheFrator At 30 April 2021 at 22:13

score 564 · Answer 12 · 2021-04-22T03:35:35.193000

eli5.permutation_importance get_score_importances crashes Google Colab session

564 views Asked by CLopez138 At 22 April 2021 at 03:35

score 176 · Answer 13 · 2021-04-21T18:15:26.710000

Using eli5.show_prediction() - NLP Logistic Regression (scikitlearn) - X has 1 features per sample; expecting 13791

176 views Asked by amstergc20 At 21 April 2021 at 18:15

score 197 · Answer 14 · 2021-03-20T11:26:40.060000

How to correctly use model explainer with unseen data?

197 views Asked by Alex Nikitin At 20 March 2021 at 11:26

score 788 · Answer 15 · 2020-11-05T10:13:33.243000

eli5 show_prediction shows only feature weights and not example prediction

788 views Asked by mjspier At 05 November 2020 at 10:13

score 435 · Answer 16 · 2020-10-16T07:35:06.953000

I cannot use "PermutationImportance"

435 views Asked by shimokin At 16 October 2020 at 07:35

score 182 · Answer 17 · 2020-10-14T20:30:20.427000

Why do ELI5 probabilities differ from predict_proba

182 views Asked by Dennis At 14 October 2020 at 20:30

score 1642 · Answer 18 · 2020-09-17T08:36:39.207000

How to explain text clustering result by feature importance? (DBSCAN)

1.6k views Asked by MehmedB At 17 September 2020 at 08:36

score 284 · Answer 19 · 2020-08-15T01:23:23.730000

How to fully show and validate the "show_prediction" results?

284 views Asked by CDCDM1986 At 15 August 2020 at 01:23

score 2931 · Answer 20 · 2020-06-23T14:43:25.107000

Right way to use RFECV and Permutation Importance - Sklearn

2.9k views Asked by towi_parallelism At 23 June 2020 at 14:43

TechQA.

List Question

Explainable AI (XAI) : Permutation Importance

Python render eli5 explanation to image

eli5 output score explained using gain?

Issue with importing TextExplainer from eli5.lime package relating to deprecated 'itemfreq' function

eli5 and SHAP for interpreting XGBoost results

ModuleNotFoundError: No module named 'sklearn.metrics.scorer'

Eli5: AttributeError: 'HTML' object has no attribute 'highlight_spaces'

AttributeError: module 'jinja2.ext' has no attribute 'with_'

Eli5.Sklearn PermutationImportance() -- TypeError: check_cv() takes from 0 to 2 positional arguments but 3 were given

ELI5 package yielding all positive weights for XGBoost feature importance

TypeError when trying to explain weights of XGBoost Classifier

eli5.permutation_importance get_score_importances crashes Google Colab session

Using eli5.show_prediction() - NLP Logistic Regression (scikitlearn) - X has 1 features per sample; expecting 13791

How to correctly use model explainer with unseen data?

eli5 show_prediction shows only feature weights and not example prediction

I cannot use "PermutationImportance"

Why do ELI5 probabilities differ from predict_proba

How to explain text clustering result by feature importance? (DBSCAN)

How to fully show and validate the "show_prediction" results?

Right way to use RFECV and Permutation Importance - Sklearn

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