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Alpha This system is experimental. Scores and classifications are early-stage research and may be unreliable. Methodology → |
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| Summary ~lite This article provides an educational overview of linear regression in machine learning.
Lite evaluation by llama-4-scout-wai-psq · editorial channel only · no per-section breakdown available
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Longitudinal
· 5 evals | |
Audit Trail
10 entries | 2026-03-05 18:34 | eval_success | PSQ evaluated: g-PSQ=0.280 (3 dims) | - - | | 2026-03-05 18:34 |
eval
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Evaluated by llama-4-scout-wai-psq: +0.28 (Mild positive) 0.00 | | | 2026-03-05 18:29 | eval_success | PSQ evaluated: g-PSQ=0.280 (3 dims) | - - | | 2026-03-05 18:29 |
eval
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Evaluated by llama-4-scout-wai-psq: +0.28 (Mild positive) | | | 2026-03-05 18:20 | eval_success | PSQ evaluated: g-PSQ=0.321 (3 dims) | - - | | 2026-03-05 18:20 |
eval
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Evaluated by llama-3.3-70b-wai-psq: +0.32 (Moderate positive) | | | 2026-02-28 14:16 | eval_success | Lite evaluated: Neutral (0.00) | - - | | 2026-02-28 14:16 |
eval
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Evaluated by llama-4-scout-wai: 0.00 (Neutral) | | | reasoning ED, neutral machine learning tutorial | | 2026-02-28 14:08 | eval_success | Lite evaluated: Neutral (0.00) | - - | | 2026-02-28 14:08 |
eval
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Evaluated by llama-3.3-70b-wai: 0.00 (Neutral) | | | reasoning Technical tutorial on ML | | |
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