Claryfying the scoring explanation & Refactoring

of the file structure

docs/Projects/TAD/ai_assesment_tool_checklist.md → docs/Projects/TAD/Tools/Checklists/ai_assesment_tool_checklist.md

@@ -1,6 +1,6 @@
 # ALTAI
 
-See the [introduction](tools.md#ai-assessment-tool). It is a discussion tool about AI Systems.
+See the [introduction](../Comparison/tools.md#ai-assessment-tool). It is a discussion tool about AI Systems.
 
 ## Functionality
 

docs/Projects/TAD/aiverify_checklist.md → docs/Projects/TAD/Tools/Checklists/aiverify_checklist.md

@@ -1,6 +1,6 @@
 # AI Verify
 
-See the [introduction](tools.md#ai-verify)
+See the [introduction](../Comparison/tools.md#ai-verify)
 
 ## Functionality
 

docs/Projects/TAD/holisticai_checklist.md → docs/Projects/TAD/Tools/Checklists/holisticai_checklist.md

@@ -1,6 +1,6 @@
 # Holisticai
 
-See the [introduction](tools.md#holisticai). It is a toolkit just like IBM-360-Toolkit for a
+See the [introduction](../Comparison/tools.md#holisticai). It is a toolkit just like IBM-360-Toolkit for a
 data scientist to research bias and also to mitigate it immediately.
 
 ## Functionality

docs/Projects/TAD/ibm_360_research_toolkit_checklist.md → docs/Projects/TAD/Tools/Checklists/ibm_360_research_toolkit_checklist.md

@@ -1,6 +1,6 @@
 # IBM Research 360 Toolkit
 
-See the [introduction](tools.md#ibm-research-360-toolkit), same thing as verifyML this has no
+See the [introduction](../Comparison/tools.md#ibm-research-360-toolkit), same thing as verifyML this has no
 frontend baked in, but has some nice integrations with MLops tooling like Kubeflow
 Pipelines. The IBM Research 360 toolkit is actuallt a collection of three open-source
 toolkits as stated by their [Github repo](https://github.com/IBM/ai-360-toolkit-explained);

docs/Projects/TAD/verifyml_checklist.md → docs/Projects/TAD/Tools/Checklists/verifyml_checklist.md

@@ -1,6 +1,6 @@
 # VerifyML
 
-See the [introduction](tools.md#verifyml), the maker also suggests
+See the [introduction](../Comparison/tools.md#verifyml), the maker also suggests
 to use an front-end tool to collaboratively change the model card.
 [Model Card Editor](https://report.verifyml.com/) this is not
 open-source and also the developer suggests in this

docs/Projects/TAD/tools_comparison.md → docs/Projects/TAD/Tools/Comparison/tools_comparison.md

@@ -3,13 +3,14 @@
 [We have researched](tools.md) a few tools which we want to investigate
 further, this document is the next step in that investigation.
 We created a [checklist](index.md) to compare these tools against.
-The Fulfilled column will give a numerical value based
-on the priority which can then be compared with the other tools per section.
-The scoring is as follows: {M:4, S:3, C:2, W:-1}.
+The Fulfilled column will give a numerical value based on whether that
+requirement is fulfilled or not between 0 and 1. Then the actual scoring
+is the fulfilled value times the priority (the priority is translated
+to numerical values in the following way: {M:4, S:3, C:2, W:-1}).
 
 ## Summary of the comparison
 
-| Requirement            | [AIVerify](aiverify_checklist.md) | [VerifyML](verifyml_checklist.md)  | [IBM 360 Research Toolkit](ibm_360_research_toolkit_checklist.md)  | [Holisticai](holisticai_checklist.md) | [AI Assessment Tool](ai_assessment_tool_checklist.md) |
+| Requirement            | [AIVerify](../Checklists/aiverify_checklist.md) | [VerifyML](../Checklists/verifyml_checklist.md)  | [IBM 360 Research Toolkit](../Checklists/ibm_360_research_toolkit_checklist.md)  | [Holisticai](../Checklists/holisticai_checklist.md) | [AI Assessment Tool](ai_assessment_tool_checklist.md) |
 |:-----------------------|:----------------------------------|------------------------------------|--------------------------------------------------------------------|---------------------------------------|-------------------------------------------------------|
 | Functionality          | 36                                | 42                                 | 20                                                                 | 17                                    | 22.85                                                 |
 | Reliability            | 13                                | 4                                  | 16                                                                 | 16                                    | 15.4                                                  |