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| author | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-01-11 15:54:03 +0100 |
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| committer | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-01-11 15:54:03 +0100 |
| commit | bf79195b5bb6e5cb3688823b595006b169d92730 (patch) | |
| tree | 623962e54cf3b017afdf766f236e0f571495e18e /doc/model-assessment.md | |
| parent | 9705d6687def65a82193e60aa69137ab5bd1d047 (diff) | |
Rename --show-quality=table to --show-model-error
Diffstat (limited to 'doc/model-assessment.md')
| -rw-r--r-- | doc/model-assessment.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/model-assessment.md b/doc/model-assessment.md index f468f42..a5ecd2f 100644 --- a/doc/model-assessment.md +++ b/doc/model-assessment.md @@ -2,13 +2,13 @@ ## Tabular Comparison -`--show-quality=table` outputs a table that shows LUT error, model error, and +`--show-model-error` outputs a table that shows LUT error, model error, and static error. In general, the model is suitable if its prediction error is close to LUT error and far away from static error. The error metric can be selected via `--error-metric`. -It is generally a good idea to combine `--show-quality=table` with +It is generally a good idea to combine `--show-model-error` with `--cross-validate=kfold:10` and, depending on application, `--parameter-aware-cross-validation`. Note that LUT error serves as baseline ("lowest achievable prediction error" / underlying measurement uncertainty) |