[BioC] gene2pathway retrain: which model is more complete?
b.t.tokovenko at imbg.org.ua
Tue Aug 24 00:11:20 CEST 2010
Replying to the last one of my own questions:
> Of all the retrain()-generated models I now have, which one is
> theoretically better to use?
> The one with the most genes, most level detectors, or most features (domains)?
> Or the one with the lowest average prediction error, disregarding all
> other factors?
version #genes #domains #detectors avg.
error(ksvm) over 11 bags
-- not using custom gene2Domains --
1.6.1 3987/5577 3488 75 0.006523582
1.6.0 4055/5667 3533 74 0.007034632
-- using custom gene2Domains --
1.6.0 5667/5667 4007 78 0.008454084
I've decided to use the last model.
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