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Model Entity Overall, hasDatatype, hasFeatue, hasLabel, hasDescription,…
Model Entity Overall
Model Metadata
Creation Timestamp
File Path
Environment
Application Domain
Textual Description
Objective
Algorithm
Type
Regression
Classification
Parameters
Computational Complexity
Name
Path
Training Set
Data
Tuples
Variables
Used
Dependent
Independent
Unused
Feature
Datatype
Label
Metadata
File Path
File Name
Creation Timestamp
Description
Context
Temporal
Spatial
Semantic
Size
Statistics
Number of Tuples
Missingness %
Anomaly %
Duplication %
Datatype distribution
Version
Evaluation
Test Set
Path
Name
Metrics
Regression Metrics
Root Mean Squared Error
Mean Squared Error
Mean Absolute Error
Mean Absolute Percentage Error
Mean Squared Logarithmic Error
Median Absolute Error
R2 Score
Variance
Maximum Error
Mean Poisson Deviance
Mean Gamma Deviance
Description
Score
Classification Metrics
Accuracy Score
Balanced Accuracy Score
Average Precision Score
Brier Score Loss
F1 Score
Log Loss
Prediction Score
Recall Score
Jaccard Score
ROC Score
hasDatatype
hasFeatue
hasLabel
hasDescription
hasScore