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  1. Streamlined test result descriptions
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Streamlined test result descriptions

frontend
26.02
enhancement
Published

January 23, 2026

Test result descriptions are now more concise and focus on actionable insights from your validation results, highlighting better what the results reveal about your model.

What test descriptions now include:

  • A brief overview of the test purpose and results summary.

  • Key insights as bullet points highlighting significant findings.

  • Remarks on model behavior or risk.

Run tests and test suites

The image displays a text document titled Classifier Performance, detailing the evaluation of classification models using metrics like precision, recall, F1-Score, accuracy, and ROC AUC. The text is organized into paragraphs explaining each metrics purpose, calculation, and significance in assessing model performance. Key insights are highlighted in a section with bullet points, discussing model overperformance on training data, underperformance on test data, and the impact of class imbalance. The document uses a clear, serif font with a light green background, and the text is in black, providing good contrast for readability. The layout is structured with headings and subheadings to organize the information hierarchically.

Before: Sample test description

The image is a text-based report detailing the evaluation of predictive performance for classification models, focusing on F-measure, accuracy, and ROC AUC metrics. It discusses the performance of different models, including Random Forest, on various datasets, highlighting key insights such as higher performance for majority classes and the effectiveness of Random Forest algorithms. The report is organized into paragraphs with bullet points for key insights, using a green background with black text for emphasis. Specific metrics like F-measure and ROC AUC are mentioned, along with dataset names such as Credit Card Fraud and Diabetes. The text emphasizes the importance of handling class imbalance and provides insights into model performance across different scenarios.

After: Sample test description
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