[17:29:35] o/ halfak [17:49:47] o/ sabya [17:50:12] did you get a chance to look at the results? [17:51:21] I quickly scanned your notes, but not in depth yet. [17:52:13] ok. in short, as we add HV features, ROC AUC decreases. [17:52:43] sabya, we might need to tune for other parameterizations of the GB classifier [17:54:22] ok [17:54:37] * halfak reads more carefully [18:03:04] sabya, looks like the model w/o hash features isn't doing as good as our current model without hashed features. [18:03:33] I didn't think we made any read improvements since then. [18:03:39] So I'd like to try tuning. [18:05:14] Ahh yes. It looks like you are parameterizing the GB model differently than we do for production. [18:05:49] See https://ores.wikimedia.org/v2/scores/enwiki/damaging/?model_info=params [18:06:09] * sabya reads the link [18:06:21] n_estimators = 700, max_depth = 7, learning_rate = 0.01 [18:07:33] https://github.com/wiki-ai/editquality/blob/master/tuning_reports/enwiki.damaging.md [18:07:51] This is a tuning report from a recent version of the model. [18:09:09] ok [18:14:11] gotta go now. will try with the above tuning params tomorrow. bye halfak [18:14:22] o/ sabya [18:14:25] Have a good one [18:25:00] * halfak looks around for YuviFanta [18:25:15] (orange preferably) [18:26:53] YuviFanta?? [18:27:05] I like the pineapple Fanta. Yes, it actually tastes good!