Validation Laboratory

Total Scenarios
54
Passed
53
Release Readiness
NOT READY

Doctor Leaderboard

  • Calibration 100%
  • Data quality 100%
  • Feature engineering 100%
  • Generalization 100%
  • Leakage 100%
  • Overfitting 100%
  • Production 100%
  • Prediction 83%

Metrics Overview

  • False Positives 0.0%
  • False Negatives 31.0%
  • Average Confidence 76.1%
  • Average Runtime 1.59s

Pass/Fail Matrix

Category Scenario Status Runtime Details
Calibration Isotonic Calibration PASS 15.73s
Calibration Overconfident RF PASS 3.56s
Calibration Overconfident Decision Tree PASS 0.11s
Calibration Platt Scaling PASS 2.92s
Calibration Poor Calibration PASS 1.19s
Calibration Well-calibrated LR PASS 0.12s
Data Quality Class Imbalance PASS 0.12s
Data Quality Constant Features PASS 0.15s
Data Quality Duplicate Columns PASS 0.19s
Data Quality Duplicate Rows PASS 0.17s
Data Quality Healthy Dataset PASS 0.14s
Data Quality Highly Correlated Features PASS 0.12s
Data Quality Missing Values PASS 0.21s
Data Quality Near Constant Features PASS 0.17s
Data Quality Small Dataset PASS 0.16s
Feature Engineering Constant Features PASS 0.17s
Feature Engineering Dominant Feature PASS 1.48s
Feature Engineering Healthy Features PASS 1.18s
Feature Engineering High Cardinality PASS 1.38s
Feature Engineering High Correlation PASS 0.18s
Feature Engineering Potential Leakage Feature PASS 1.31s
Feature Engineering Too Many Features PASS 0.50s
Generalization High CV Variance PASS 0.11s
Generalization Poor Validation Split PASS 1.06s
Generalization Small Validation Set PASS 0.09s
Generalization Stable CV PASS 1.37s
Generalization Strong Generalization PASS 0.10s
Generalization Weak Generalization PASS 0.11s
Leakage Customer ID Leakage PASS 1.30s
Leakage Duplicate Target PASS 1.60s
Leakage Future Information PASS 1.48s
Leakage Healthy Dataset PASS 0.15s
Leakage Target Copied Into Feature PASS 1.19s
Leakage Timestamp Leakage PASS 1.54s
Leakage Weak Correlation PASS 0.15s
Overfitting Healthy Gradient Boosting PASS 1.34s
Overfitting Healthy Logistic Regression PASS 0.16s
Overfitting Healthy Random Forest PASS 1.63s
Overfitting Overfit Random Forest PASS 5.75s
Overfitting Small Dataset High Variance PASS 0.86s
Overfitting Overfit Decision Tree PASS 0.14s
Overfitting Underfit Tree PASS 0.12s
Prediction Average Classifier FAIL 0.22s Expected finding containing 'Test Accuracy' not found.
Prediction Excellent Classifier PASS 1.57s
Prediction Poor Classifier PASS 0.22s
Prediction Excellent Regression PASS 0.99s
Prediction Moderate Regression PASS 0.27s
Prediction Poor Regression PASS 0.13s
Production Fast Inference PASS 0.15s
Production Huge Random Forest PASS 1.85s
Production Large Gradient Boosting PASS 1.44s
Production Large Serialized Model PASS 0.24s
Production Slow Inference PASS 26.80s
Production Tiny Model PASS 0.35s