AD Teaching Wiki:

Results for Exercise Sheet 10 (Naive Bayes)

Click "Edit" in the upper bar of this page and add your row to the table below, following the examples already there.

In the first column, write down your account name.
In the second column, write down the average value of the F-measure for the train and test data provided on the Wiki (with exactly two digits of precision).
In the 3rd column, give a concise description about the refinements you have implemented.

Name

F1-score

Implemented Refinements

np1042

67.71%

None

cd100

67.71%

None

do67

67.71%

None

lm432

67.71%

None

jm700

67.71%

None

tk309

67.71%

None

gm133

67.71%

None

js1750

67.71%

None

mb791

67.71%

None

ik151

93.22%

eps=1e-5

rs532

67.71%

None

ap367

67.71%

None

kn115

66.43%

None

as1936

67.71%

None

sb876

65.71%

None

mz226

67.71%

None

kd130

67.71%

None

hv30

67.71%

None

nw164

67.71%

None

jh594

81.30%

Reduce impact of words based on their frequency in other classes

mn279

67.71%

None

cw441

67.71%

None

sa322

68.92%

eps=1/3

ac267

67.71%

None

gf52

67.71%

None

ms1415

67.71%

None

ls1369

67.71%

None

dg262

67.71%

None

sa328

67.73%

None

by26

66.44%

None

eg128

67.71%

None

bs249

4.39%

None

ak913

67.71%

None

sa347

55%

None

mm1460

66.4%

None

zh11

67.71%

None

as1699

65.71%

None

AD Teaching Wiki: InformationRetrievalWS2223/ResultsES10 (last edited 2023-03-29 17:28:15 by 10)