Synthetic Data Quality Report

Model
Evaluate Model
Model UID 66ab3b1c7f8c64ecfedd2bbc
Project Synthesize-Local-MySQL-Database
Generated 08/01/2024, 07:37
Good
Synthetic Data Quality Score
Normal
Privacy Protection Level

The Synthetic Data Quality Score is computed by taking a weighted combination of the individual quality metrics: Field Distribution Stability, Field Correlation Stability and Deep Structure Stability.

Data Summary Statistics

Moderate
Field Correlation Stability
Moderate
Deep Structure Stability
Excellent
Field Distribution Stability
Training Data Synthetic Data
Row Count 100 100
Column Count 7 7
Training Lines Duplicated -- 0

Privacy Protection Summary

Default Privacy Protections Advanced Protections
Outlier Filter Disabled
Similarity Filter Disabled
Overfitting Prevention Disabled
Differential Privacy Disabled

Training field overview 

Field Unique Missing Ave. Length Type Distribution Stability
self|Email 100 0 22.90 Other N/A
self.Doctor_ID|License 70 0 9.00 Other N/A
self.Doctor_ID.Specialization_ID|Specialization_Name 17 0 11.46 Other N/A
self.Doctor_ID|Full_Name 100 0 12.80 Other N/A
self|Phone 100 0 14.00 Other N/A
self.Doctor_ID.Specialization_ID.Branch_ID|Branch_Name 10 0 20.02 Categorical Moderate
self.Doctor_ID.Specialization_ID.Branch_ID|Address 10 0 36.10 Categorical Moderate

Training and Synthetic Data Correlation

Principal Component Analysis

Field Distribution Comparisons 

 Training Data     Synthetic Data