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gptkbp:instance_of
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gptkb:machine_learning
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gptkbp:analyzes
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Graphical Representation
Tree Structure
|
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gptkbp:can_be_combined_with
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Ensemble Methods
|
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gptkbp:can_be_pruned_by
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Pruning Techniques
|
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gptkbp:can_be_used_for
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gptkb:Risk_Management
Feature Selection
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gptkbp:can_handle
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Numerical Data
Categorical Data
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gptkbp:consists_of
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Branches
Leaves
Nodes
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gptkbp:exported_to
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gptkb:Oni
PMML
|
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https://www.w3.org/2000/01/rdf-schema#label
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Decision Tree
|
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gptkbp:is_a
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Supervised Learning Algorithm
|
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gptkbp:is_affected_by
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Data Imbalance
|
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gptkbp:is_evaluated_by
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Accuracy
F1 Score
Precision
Recall
Test Data
|
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gptkbp:is_implemented_in
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gptkb:MATLAB
gptkb:Java
gptkb:C++
gptkb:Python
gptkb:R
gptkb:SAS
gptkb:Weka
gptkb:Scikit-learn
Various Programming Languages
|
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gptkbp:is_interpretable_by
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gptkb:humans
|
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gptkbp:is_optimized_for
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gptkb:Hyperparameter_Tuning
|
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gptkbp:is_popular_in
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Data Mining
|
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gptkbp:is_related_to
|
gptkb:Random_Forest
Gradient Boosting
|
|
gptkbp:is_trained_in
|
Training Data
|
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gptkbp:is_used_for
|
gptkb:Natural_Language_Processing
gptkb:speeches
gptkb:strategy
gptkb:supply_chain_management
gptkb:Quality_Assurance
Anomaly Detection
Fraud Detection
Image Classification
Resource Allocation
Time Series Prediction
Churn Prediction
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gptkbp:is_used_in
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gptkb:Artificial_Intelligence
Financial Analysis
Medical Diagnosis
Customer Segmentation
Marketing Analytics
|
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gptkbp:sensitivity
|
Overfitting
|
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gptkbp:used_for
|
gptkb:Regression
Classification
|
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gptkbp:bfsParent
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gptkb:neural_networks
|
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gptkbp:bfsLayer
|
4
|