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| <title>DataPilot AI report</title> | |
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| <div class="hero"><h1>DataPilot AI Analysis Report</h1> | |
| <p>iris · Run run_f13555d6077f</p></div> | |
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| <div class="card"><small>Selected model</small><h2>Logistic Regression</h2></div> | |
| <div class="card"><small>Test balanced_accuracy</small><h2>0.933</h2></div> | |
| <div class="card"><small>Rows analyzed</small><h2>150</h2></div> | |
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| <h2>Executive findings</h2><ul><li>The analysis used 150 rows and 5 columns for a classification task targeting 'target'.</li><li>Logistic Regression ranked first with training CV balanced_accuracy 0.958; its one-time test score was 0.933.</li><li>1 data-quality observations were recorded; 0 are critical.</li><li>The strongest predictive signals were petal_width_(cm), petal_length_(cm), sepal_length_(cm) according to permutation importance.</li></ul> | |
| <h2>Evaluation</h2><table><tr><th>Metric</th><th>Value</th></tr><tr><td>accuracy</td><td>0.9333</td></tr><tr><td>balanced_accuracy</td><td>0.9333</td></tr><tr><td>f1_weighted</td><td>0.9333</td></tr></table> | |
| <h2>Data quality</h2><table><tr><th>Severity</th><th>Code</th><th>Observation</th></tr><tr><td>warning</td><td>DUPLICATE_ROWS</td><td>1 exact duplicate rows can bias validation.</td></tr></table> | |
| <h2>Recommendations</h2><ol><li>Validate performance on fresh, out-of-time data before production deployment.</li><li>Review suspected leakage and identifier columns with a domain owner.</li><li>Monitor input drift and the primary metric after deployment.</li></ol> | |
| <p><small>Generated from computed evidence. Predictive findings do not establish causality.</small></p> | |
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