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Update moses-service.md
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yet more minor edits for clarity
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mjsduncan authored Mar 29, 2019
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- **moses_opts:** See [here](https://wiki.opencog.org/w/MOSES_man_page) for a complete description of MOSES options.
- **cross_val_opts:** "Monte Carlo" cross-validation is used where **folds * random_seed = n** training folds are constructed from a balanced random partition of fraction 1 - **test_size** of the original data set.
- **filter:** Possible scores are **precision**, **recall**, **accuracy**, **f1**, and **p-value** that model accuracy is greater than the null model returning **false** for all inputs. All values are in range 0 to 1. The default filter is p value < 0.05.
- **filter:** Possible scores are **precision**, **recall**, **accuracy**, **f1**, and **p-value** for null hypothesis that model score is greater than the null model returning **false** for all inputs. All values are in range 0 to 1. The default filter is p value < 0.05.

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