DataPilot AI Analysis Report

Executive findings

• The analysis used 150 rows and 5 columns for a classification task targeting 'target'.
• Logistic Regression ranked first with training CV balanced_accuracy 0.958; its one-time test score was 0.933.
• 1 data-quality observations were recorded; 0 are critical.
• The strongest predictive signals were petal_width_(cm), petal_length_(cm), sepal_length_(cm) according to permutation importance.

Evaluation

Data quality

Recommendations

1. Validate performance on fresh, out-of-time data before production deployment.
2. Review suspected leakage and identifier columns with a domain owner.
3. Monitor input drift and the primary metric after deployment.

Generated from computed evidence. Predictive findings do not establish causality.