Model Performance Report

Understanding how our bankruptcy prediction model delivers reliable, actionable insights for credit risk management

Decision Reliability

Overall Correctness

92.1%
198 correct
17 errors
of 215 predictions

Of all the companies our model confidently assessed, 92.1% received the correct bankruptcy outcome prediction. When our system flags a company, that signal carries meaningful, grounded weight.

High-Fidelity Automation

Knowledge Frontier Assessment

Autonomous Prediction Zone
51%

Predictions with Confidence: For these patients, the model's learned internal knowledge supports a well-grounded assessment with high signal reliability.

215 cases
Anti-Hallucination Zone
49%

Safe & Intelligent Abstentions: These cases are unclear and highly ambiguous. The model consciously abstains rather than risk hallucinating an answer it cannot ground in reliable patterns.

205 cases
100% of cases pass through rigorous internal evaluation. Every prediction is either grounded in reliable, mathematically proven knowledge or honestly withheld to avoid hallucinations.

Precision Advantage

Credit risk precision vs. population baseline

Baseline
Model

Knowledge Utilization

Hypothesis Usage per Prediction

Bankrupt
2.86
Solvent
1.68
Overall average usage across samples1.91

Key Evidence Drivers

Most influential knowledge driving predictions

1

Public Disclosures of Going Concern Doubts and Bankruptcy Plans Predict Near-Term Corporate Failure

2

Financing Uncertainty Combined With Material Asset Impairments Indicates Significant Corporate Bankruptcy Risk

3

Loan Covenant Violations and Debt Reclassification Serve as Strong Predictors of Company Bankruptcy

4

Management Doubts and Asset Write-Downs Signaling Imminent Risk of Corporate Bankruptcy

5

Going Concern Disclosures and Funding Uncertainty are Leading Indicators of Company Bankruptcy

Ranked according to importance for predictionsTop 5 rules

Knowledge Discovered

Mapping the discovered knowledge frontier

Total Knowledge Yield

50%

The model has successfully uncovered 50% of the underlying knowledge driving the data with high reliability. While 100% represents theoretical omniscience—the absolute ceiling of all discovery—our system has effectively decoded 50% of the entire predictive knowledge from the data.

Knowledge Yield

The model's current discovered knowledge / explanatory reach

Perfect Knowledge

Absolute Omniscience - The Theoretical Limit that could ever be discovered

◆ Yield is measured as the area under the greedy Knowledge Frontier Curve normalized against the perfect-knowledge ceiling.15 hypotheses on frontier

A Model You Can Trust

Confidence calibration reliability

3.43%CALIBRATIONERROR

The model's confidence closely matches reality: with 96.6% calibration, its predictions are on average only about 3.4% away from actual outcomes. This allows users to treat the displayed confidence scores as a reliable signal of how trustworthy each prediction is.

◆ Calibration is measured using the scientific standard method Expected Calibration Error (ECE) with 10 bins and equal-width binning.
The BrainDeep Analysis

No Data

No hypothesis data available