Yeah... it looks like I really need to jump into this. These results are not right.
On Mon, Dec 20, 2010 at 2:11 PM, Chris Schilling <[email protected]> wrote: > Hey Ted, > > Just FYI, > > I changed the Weight subclass of the ModelDissector to sort by true value > (rather than absolute value) and reran over the 20 newsgroups data. Here > are the results of the dissector function: > > body=rt 0.042 comp.sys.mac.hardware > body=computer 0.039 sci.electronics > body=seem 0.035 talk.religion.misc > body=mike 0.035 misc.forsale > body=windows 0.034 misc.forsale > body=just 0.032 sci.crypt > body=supports 0.032 talk.politics.mideast > body=x 0.032 talk.religion.misc > body=do 0.029 rec.motorcycles > body=university 0.028 comp.sys.mac.hardware > body=slagle 0.028 rec.sport.hockey > > I prefer the results from MIA :) Anyway, I know you are busy. If there is > anything I can do to help, let me know. Still getting familiar with the > code, but could help out with some guidance. > > Thanks a lot, > Chris > > On Dec 17, 2010, at 7:37 PM, Ted Dunning wrote: > > > Hard to say what changed just off hand. I was tweaking the SGD code > pretty > > regularly as I learned from the results users were getting. I should > look > > at the history to review what happened... some changes may not have been > > good. > > > > On Fri, Dec 17, 2010 at 5:28 PM, Chris Schilling > > <[email protected]>wrote: > > > >> Thanks for the answers Ted. Ill take a look inside the dissector. I > was > >> just wondering because the results are quite a bit different from whats > in > >> the book - Listing 15.9. Here are those results (where words have > weights > > >> 1). > >> > >> body=space 2.1 sci.space > >> body=sale 1.9 misc.forsale > >> body=car 1.9 rec.autos > >> body=windows 1.8 comp.os.ms-windows.misc > >> body=mac 1.7 comp.sys.mac.hardware > >> body=bike 1.7 rec.motorcycles > >> body=apple 1.5 comp.sys.mac.hardware > >> body=gun 1.5 talk.politics.guns > >> body=baseball 1.5 rec.sport.baseball > >> body=graphics 1.5 comp.graphics > >> > >> > >> I guess I mostly want to understand what changed. Again, Ill take a > look > >> at the dissector, because the results of the training look pretty good. > >> > >
