Model Validation Report

Performance Analysis Report

Robustness Score
94.5%
77.4% Base Score
5.49% Impact
Excellent resistance to perturbations
Model Information
Type: RandomForestClassifier
Features: 0
Primary Metric: AUC
Critical Features: 3
Alternative Models: 3
Test Summary
Perturbation Levels: 6
Iterations Per Level: 10
Max Impact Level: 12.78% at 1.0
Feature Subset Impact: 0%

Performance Overview

This section shows how the model's performance changes under different perturbation levels.

Model Comparison

Comparison of robustness between different models.

Detailed Results

Model Comparison
Raw Perturbation
Model Base Score Robustness Score Raw Impact
Perturbation Level Base Score Perturbed Score Impact Subset Score

Detailed Performance Analysis

Detailed analysis of the model's performance under different perturbation types and levels.

Model Metrics Overview

Comparative view of model metrics

Dataset Info

  • Samples: -
  • Features: -
  • Test Size: -

Test Configuration

  • Tests: -
  • Verbose Mode: -

Models Comparison

Performance metrics for all models

Model Name Type Accuracy ROC AUC F1 Score Precision Recall
Loading model data...

Perturbation Analysis

Detailed analysis of the model's performance under different perturbation types and levels

Loading perturbation details...

Performance Distribution

Distribution of model performance under different perturbation levels.

Carregando gráfico de boxplot...

Model Distribution Statistics

Model Base Score Median Mean IQR Min Max Std Dev Score Drop

Loading statistics...

Feature Importance Analysis

Analysis of how each feature contributes to model robustness.

Loading Feature Importance Chart...

Please wait while the chart data is being prepared...

Feature Importance Table

Feature Robustness Impact Model Importance Feature Subset

Carregando dados de importância de características...

Model vs Robustness Importance Comparison

Comparison between model feature importance and robustness impact.

Loading feature comparison chart...