Render book

mini-pw · Jun 16, 2021 · 5170e5b · 5170e5b
1 parent ef1fc35
commit 5170e5b
Show file tree

Hide file tree

Showing 39 changed files with 1,075 additions and 1,003 deletions.
diff --git a/...n-exploration-of-deepcovidexplainer-explainable-covid-19-diagnosis-from-chest-x-rays.html b/...n-exploration-of-deepcovidexplainer-explainable-covid-19-diagnosis-from-chest-x-rays.html
diff --git a/docs/analysis-of-models-predicting-death-probability-during-icu-stays.html b/docs/analysis-of-models-predicting-death-probability-during-icu-stays.html
diff --git a/...-histopathological-data-at-home-reproducing-the-ara-cnn-models-data-and-performance-.html b/...-histopathological-data-at-home-reproducing-the-ara-cnn-models-data-and-performance-.html
diff --git a/docs/can-you-trust-science-on-reproduction-in-deep-learning-.html b/docs/can-you-trust-science-on-reproduction-in-deep-learning-.html
diff --git a/...s-and-tree-based-models-in-the-clinical-prediction-of-the-course-of-covid-19-illness.html b/...s-and-tree-based-models-in-the-clinical-prediction-of-the-course-of-covid-19-illness.html
diff --git a/docs/coronary-artery-disease-is-it-worth-trusting-ml-when-it-comes-to-our-health.html b/docs/coronary-artery-disease-is-it-worth-trusting-ml-when-it-comes-to-our-health.html
diff --git a/docs/deep-learning-1.html b/docs/deep-learning-1.html
diff --git a/docs/deep-learning-2.html b/docs/deep-learning-2.html
diff --git a/docs/dl2-rmdl-unet.html b/docs/dl2-rmdl-unet.html
diff --git a/docs/erscovid.html b/docs/erscovid.html
diff --git a/docs/explainable-artificial-intelligence-1.html b/docs/explainable-artificial-intelligence-1.html
diff --git a/docs/explainable-artificial-intelligence-2.html b/docs/explainable-artificial-intelligence-2.html
diff --git a/docs/explaining-diabetes-indicators.html b/docs/explaining-diabetes-indicators.html
diff --git a/...use-is-influenced-by-neighborhood-xai-methods-for-interpretation-the-black-box-model.html b/...use-is-influenced-by-neighborhood-xai-methods-for-interpretation-the-black-box-model.html
diff --git a/docs/how-to-compare-many-good-machine-learning-models.html b/docs/how-to-compare-many-good-machine-learning-models.html
diff --git a/docs/how-to-predict-the-probability-of-subsequent-blood-donations.html b/docs/how-to-predict-the-probability-of-subsequent-blood-donations.html
diff --git a/docs/index.html b/docs/index.html
diff --git a/docs/lungnet.html b/docs/lungnet.html
diff --git a/docs/machine-learning-1.html b/docs/machine-learning-1.html
diff --git a/docs/on-the-reproducibility-of-the-bcdu-net-model.html b/docs/on-the-reproducibility-of-the-bcdu-net-model.html
diff --git a/docs/one-model-to-fit-them-all-covid-19-survival-prediction-using-multinational-data.html b/docs/one-model-to-fit-them-all-covid-19-survival-prediction-using-multinational-data.html
diff --git a/docs/rashomon-ml-with-addition-of-dimensional-reduction.html b/docs/rashomon-ml-with-addition-of-dimensional-reduction.html
diff --git a/docs/rashomon-sets-of-in-hospital-mortality-prediction-random-forest-models.html b/docs/rashomon-sets-of-in-hospital-mortality-prediction-random-forest-models.html
diff --git a/docs/rashomon-sets-on-death-prediction-xgb-models-using-mimic-iii-database.html b/docs/rashomon-sets-on-death-prediction-xgb-models-using-mimic-iii-database.html
diff --git a/docs/rashomonml.html b/docs/rashomonml.html
diff --git a/docs/reference-keys.txt b/docs/reference-keys.txt
@@ -136,6 +136,31 @@ fig:2-3-ceteris1
 fig:2-3-ceteris2
 fig:2-3-break1
 fig:2-3-break2
+fig:2-4-distributions
+tab:dataset-versions
+fig:2-4-break-down
+fig:2-4-ordering
+fig:2-4-shap-ordering
+fig:2-4-lime-introduction
+fig:2-4-titanicCeterisProfile01E
+fig:2-4-ceteris
+fig:2-4-TitanicRFFeatImp
+fig:2-4-pdpIntuition-1
+fig:2-4-pdpPart5-1
+tab:dataset-comparison
+tab:dataset-original
+tab:dataset-skip
+tab:dataset-tuned
+fig:2-4-feature-importance
+fig:2-4-pdp
+fig:2-4-pdp-ale-mass
+fig:2-4-ceteris-paribus
+fig:2-4-lime-190
+fig:2-4-bd-190
+fig:2-4-shap-190
+fig:2-4-lime-214
+fig:2-4-bd-214
+fig:2-4-shap-214
 fig:2-5-ColumnDescription
 fig:2-5-HeatmapOfMedianHouseValue
 fig:2-5-OceanProximityOnMap
@@ -352,46 +377,19 @@ break-down-profiles
 conclusions-and-summary
 explaining-diabetes-indicators
 abstract-7
-keywords
 introduction-3
 methods
-dataset-3
-dataset-versions
-measures
-models
 explanations
-local-1
-break-down
-shap
-lime-1
-ceteris-paribus-1
-global
-feature-importance-1
-partial-dependence
-accumulated-dependence
 results-3
-dataset-versions-comparison
-model-comparison
-data-original
-data-skip
-explanations-results
-global-1
-variable-importance
-partial-dependence-profile-1
-accumulated-dependence-profile
-local-2
-discussion
-expert-opinion
-causes-of-type-2-diabetes
-comparison
-conclusion
+expert-opinions
+conclusions-1
 how-the-price-of-the-house-is-influenced-by-neighborhood-xai-methods-for-interpretation-the-black-box-model
 abstract-8
 introduction-4
 literature
 local-explanations-6
 global-explanations-7
-conclusion-1
+conclusion
 deep-learning-1
 lungnet
 introduction-5
@@ -411,7 +409,7 @@ summary-2
 on-the-reproducibility-of-the-bcdu-net-model
 abstract-9
 introduction-6
-dataset-4
+dataset-3
 preprocessing-1
 execution
 reproduction-of-the-results
@@ -463,7 +461,7 @@ reproducing-and-modifying-covid-net
 abstract-11
 introduction-and-motivation-5
 related-work-4
-dataset-5
+dataset-4
 reproducibility
 further-experiments-and-network-modifications
 network-modifications
@@ -498,7 +496,7 @@ accessible-prepared-data
 documentation-of-differences-between-the-code-and-the-article
 accessible-pretrained-models
 working-training-code
-conclusion-2
+conclusion-1
 can-you-classify-histopathological-data-at-home-reproducing-the-ara-cnn-models-data-and-performance.
 abstract-13
 introduction-8
@@ -524,7 +522,7 @@ summary-5
 what-is-u-net
 our-work-with-reproducibility-of-second-article
 reproducibility-of-this-article-1
-conclusion-3
+conclusion-2
 dl2-rmdl-unet
 abstract-14
 reproduction
@@ -534,12 +532,12 @@ problems
 a-nested-u-net-architecture-for-medical-image-segmentation
 problems-1
 results-7
-conclusions-1
+conclusions-2
 can-you-trust-science-on-reproduction-in-deep-learning.
 abstract-15
 introduction-10
 methodology-6
-models-1
+models
 rmdl
 adversarial-medicine
 datasets
@@ -558,7 +556,7 @@ result
 reproduced-results
 random-multimodel-deep-learning-for-classification-1
 adversarial-medicine-5
-discussion-1
+discussion
 what-was-easy
 what-was-hard
 machine-learning-1
@@ -567,13 +565,13 @@ abstract-16
 introduction-11
 data-description-1
 comparison-of-the-models
-conclusion-4
+conclusion-3
 one-model-to-fit-them-all-covid-19-survival-prediction-using-multinational-data
 abstract-17
 introduction-12
 data-sources
 model-building
-discussion-2
+discussion-1
 summary-6
 transparent-machine-learning-to-support-predicting-covid-19-infection-risk-based-on-chronic-diseases
 abstract-18
@@ -582,13 +580,13 @@ flaws
 improvements
 transparent-machine-learning
 application
-conclusions-2
+conclusions-3
 comparison-of-neural-networks-and-tree-based-models-in-the-clinical-prediction-of-the-course-of-covid-19-illness
 abstract-19
 introduction-14
 methods-2
 results-8
-discussion-3
+discussion-2
 source-code
 rashomonml
 how-to-compare-many-good-machine-learning-models
@@ -611,7 +609,7 @@ introduction-and-related-works
 methodology-9
 results-11
 hyperparameters-1
-variable-importance-1
+variable-importance
 summary-and-conclusions-6
 rashomon-sets-on-death-prediction-xgb-models-using-mimic-iii-database
 abstract-23
@@ -622,7 +620,7 @@ analysis-workflow
 results-12
 predictions-resemblance-and-grounds-of-the-splits-performed-similarity-context-.
 the-study-on-models-parameter-grids-similarity.
-conclusions-3
+conclusions-4
 rashomon-sets-of-in-hospital-mortality-prediction-random-forest-models
 abstract-24
 introduction-17
@@ -640,31 +638,4 @@ variable-importance-plotsin-this-section-the-analysis-of-feature-importance-plot
 best-auc-rashomon-sets
 experts-rashomon-sets
 voting-in-mortality-prediction
-conclusion-5
-fig:2-4-distributions
-tab:dataset-versions
-fig:2-4-TitanicRFFeatImp
-fig:2-4-pdpIntuition-1
-fig:2-4-pdpPart5-1
-fig:2-4-break-down
-fig:2-4-ordering
-fig:2-4-shap-ordering
-fig:2-4-lime-introduction
-fig:2-4-titanicCeterisProfile01E
-fig:2-4-ceteris
-tab:dataset-comparison
-tab:dataset-original
-tab:dataset-skip
-tab:dataset-tuned
-fig:2-4-feature-importance
-fig:2-4-pdp
-fig:2-4-pdp-ale-mass
-fig:2-4-ceteris-paribus
-fig:2-4-lime-190
-fig:2-4-bd-190
-fig:2-4-shap-190
-fig:2-4-lime-214
-fig:2-4-bd-214
-fig:2-4-shap-214
-expert-opinions
-conclusions-4
+conclusion-4