testcase for estimating building height from openstreet map data using random forest model
ID
shouldthisnotbeassignedbysystem?
Description
testcase for estimating building height from openstreet map data using random forest model.
how different should the description be from the name? from the size of the textbox, the user might feel encouraged to provide a lot of input in both (or duplicate)?
Main category
ML
Other category
A
Pubblication date
selection above A or B? do I win a porsche if I choose gate B?
24.04.2027
Objective
regression
Platform
Local Jupyter Notebook
Framework
Scikit-learn
Architecture
random-forest
Approach
supervised
Algorithm
Random-Forest-Classifier
Processor
cpu
OS
linux
Keyword
building height
openstreet map
random forest model
Reference link
No response
Example
No response
Input data
does not exist yet as the input is local...
Characteristics of input data
Open Street Map data
Biases and ethical aspects
no issues here, the machine is always right
Output data
does not exist yet as the input is local...
Characteristics of output data
building height information asociated to OSM buildings
Hi @jetschny ,
Below are some considerations/replies to your questions:
Yes, "ID" value will be assigned by system (when it will be ready).
In "Other category" the codelist is not yet available, so we left the example values A and B. As this field is not mandatory, it can always be left empty. We could add an indication to the field to specify that the codelist is not yet available (and remove this comment when codelist will be available).
The "Example" in this case could be the used Jupyter Notebook (when it will be ready to be loaded).
"Input data" in this case could be the OpenStreetMap link from which the data was downloaded.
"Characteristics of input data" in this case could be the description of OpenStreetMap data used (e.g. which layer)
"Output data" in this case could be the model through which you make predictions (when it will be ready to be loaded) and "Characteristics of output data" will for example provide some information on format and structure of the data expected by the model to obtain a prediction. In this regard, maybe could be good to add a comment for this field to make more explicit what we expect?
Name of resource
testcase for estimating building height from openstreet map data using random forest model
ID
shouldthisnotbeassignedbysystem?
Description
testcase for estimating building height from openstreet map data using random forest model.
how different should the description be from the name? from the size of the textbox, the user might feel encouraged to provide a lot of input in both (or duplicate)?
Main category
ML
Other category
A
Pubblication date
selection above A or B? do I win a porsche if I choose gate B?
24.04.2027
Objective
regression
Platform
Local Jupyter Notebook
Framework
Scikit-learn
Architecture
random-forest
Approach
supervised
Algorithm
Random-Forest-Classifier
Processor
cpu
OS
linux
Keyword
building height openstreet map random forest model
Reference link
No response
Example
No response
Input data
does not exist yet as the input is local...
Characteristics of input data
Open Street Map data
Biases and ethical aspects
no issues here, the machine is always right
Output data
does not exist yet as the input is local...
Characteristics of output data
building height information asociated to OSM buildings
Performance
good, craches often, reason unknown.
Conditions for access and use
MIT
Constraints
No response