|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:application
|
gptkb:scoring_system
gptkb:Biology
regression
|
|
gptkbp:based_on
|
gptkb:XGBoost
|
|
gptkbp:community_support
|
active
|
|
gptkbp:contribution
|
open source
|
|
gptkbp:cross_validation
|
supported
|
|
gptkbp:dependency
|
gptkb:XGBoost
gptkb:Julia
gptkb:MLJ.jl
Data Frames
|
|
gptkbp:developed_by
|
Julia community
|
|
gptkbp:example
|
included in documentation
|
|
gptkbp:features
|
tree boosting
|
|
gptkbp:first_published
|
2023-10-01
|
|
gptkbp:has_documentation
|
available online
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
xgboost-julia
|
|
gptkbp:hyperparameter_tuning
|
supported
|
|
gptkbp:importance
|
available
|
|
gptkbp:input_output
|
gptkb:Model
gptkb:tableware
gptkb:Matrix
predictions
|
|
gptkbp:installation
|
gptkb:software
|
|
gptkbp:is_compatible_with
|
gptkb:Data_Frames.jl
|
|
gptkbp:is_scalable
|
high
|
|
gptkbp:language
|
gptkb:Julia
|
|
gptkbp:latest_version
|
1.0.0
|
|
gptkbp:license
|
Apache License 2.0
|
|
gptkbp:model
|
decision trees
boosted trees
ensemble model
|
|
gptkbp:model_interpretation
|
available
|
|
gptkbp:parallel_processing
|
supported
|
|
gptkbp:performance
|
high
F1 score
accuracy
log loss
AUC
|
|
gptkbp:provides
|
gradient boosting algorithms
|
|
gptkbp:release_date
|
2020-01-01
|
|
gptkbp:repository
|
gptkb:Git_Hub
|
|
gptkbp:shap_values
|
supported
|
|
gptkbp:supports
|
multi-threading
|
|
gptkbp:training
|
supervised learning
unsupervised learning
|
|
gptkbp:tutorials
|
available online
|
|
gptkbp:used_for
|
gptkb:machine_learning
|
|
gptkbp:user_base
|
growing
|
|
gptkbp:bfsParent
|
gptkb:XGBoost
|
|
gptkbp:bfsLayer
|
6
|