# \[ACTIVE\] Bounty for using and feedback on NumerBlox

**URL:** <https://forum.numer.ai/t/active-bounty-for-using-and-feedback-on-numerblox/6786>\
**Category:** Bounties\
**Created:** [November 10, 2023, 7:31pm UTC](https://forum.numer.ai/t/active-bounty-for-using-and-feedback-on-numerblox/6786 "2023-11-10T19:31:40Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![perfect\_fit](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/perfect_fit/32/2527_2.png) [@perfect\_fit](https://forum.numer.ai/u/perfect_fit)\
**Post date:** [November 15, 2023, 6:07pm UTC](https://forum.numer.ai/t/active-bounty-for-using-and-feedback-on-numerblox/6786/6 "2023-11-15T18:07:27Z")

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Good one! `NumeraiClassicEvaluator` will now give legacy EPC and MMC metrics with `.full_evaluation`. Legacy MMC will only be calculated if you define a `meta_model_col` and have meta model predictions in your validation DataFrame.

N**OTE: Numerai hasn’t released the full details on these metrics yet so we use the [“MMC2”](http://forum.numer.ai/t/mmc2-announcement/93) calculation and deliberately call it “legacy”.**

This quickstart notebook explains evaluation in step 3. Note that you also need to add meta model predictions and specify `meta_model_col`.

> <https://github.com/crowdcent/numerblox/blob/master/examples/quickstart.ipynb>

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