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| ||<tablewidth=""" tableheight=""" tablestyle="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; 100%& amp; amp; amp; amp; amp; amp; amp; amp; quot; ; auto& amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; quot& amp; amp; amp; quot; ; & amp; amp; amp; amp; quot& amp; amp; amp; quot; ; & amp; amp; amp; amp; quot& amp; amp; amp; quot& amp; amp; quot; ; & amp; amp; amp; quot& amp; amp; quot; ; & amp; amp; amp; quot& amp; amp; quot& amp; quot; ; & amp; amp; quot& amp; quot; ; & amp; amp; quot& amp; quot& quot; ; & amp; quot& quot; ; & amp; quot& quot" ;&quot";&quot""style="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:center& amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''Name''' ||'''Genres''', ''Variant 1'' ||'''Genres''', ''Variant 2'' ||'''Ratings''', ''Variant 1'' ||'''Ratings''', ''Variant 2'' ||'''Implemented Refinements''' || | ||<tablewidth=""" tableheight=""" tablestyle="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; 100%& amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; ; auto& amp; amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; quot; ; & amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; quot& amp; amp; amp; quot; ; & amp; amp; amp; amp; quot& amp; amp; amp; quot; ; & amp; amp; amp; amp; quot& amp; amp; amp; quot& amp; amp; quot; ; & amp; amp; amp; quot& amp; amp; quot; ; & amp; amp; amp; quot& amp; amp; quot& amp; quot; ; & amp; amp; quot& amp; quot; ; & amp; amp; quot& amp; quot& quot; ; & amp; quot& quot; ; & amp; quot& quot" ;&quot";&quot""style="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:center& amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''Name''' ||'''Genres''', ''Variant 1'' ||'''Genres''', ''Variant 2'' ||'''Ratings''', ''Variant 1'' ||'''Ratings''', ''Variant 2'' ||'''Implemented Refinements''' || |
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| ||sa194||F = 77.60%||F = 78.46%||F = 47.33%||F = 47.33%||None|| | ||sa194+lf189 ||F = 77.60% ||F = 78.46% ||F = 47.33% ||F = 47.33% ||None || |
Results for Exercise Sheet 11 (Naive Bayes)
Click "Edit (Text)" 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, or name1+name2 if you work in a group.
In the columns 2-5, write down the average value of the F-measure for each of the four sets of train and test data provided on the Wiki (with exactly two digits of precision).
In the 6th column, give a concise description about the refinements you have implemented.
Name |
Genres, Variant 1 |
Genres, Variant 2 |
Ratings, Variant 1 |
Ratings, Variant 2 |
Implemented Refinements |
ck1028 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
fk234 |
F = 76.68% |
F = 77.84% |
F = 46.45% |
F = 46.83% |
None |
fj47 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
ns202 |
F = 77.56% |
F = 77.97% |
F = 47.14% |
F = 47.66% |
Without stopwords |
bb245 |
F = 77.60% |
F = 78.98% |
F = 46.20% |
F = 47.57% |
Stopword removal |
dd74 |
F = 77.06% |
F = 78.46% |
F = 47.55% |
F = 47.48% |
None |
fp112 |
F = 77.06% |
F = 78.46% |
F = 47.55% |
F = 47.48% |
None |
sr285 |
F = 78.00% |
F = 78.06% |
F = 46.89% |
F = 47.71% |
without stopwords |
he41 |
F = 78.23% |
F = 78.53% |
F = 46.93% |
F = 47.71% |
Stopwords removal |
mb930 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
yb36 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
vb128 |
F = 78.56% |
F = 77.50% |
F = 47.53% |
F = 47.58% |
None |
ak721-bf87 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
dk250 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
pc49 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
yl100 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
ck407 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
es260 + ic30 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
rb201 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
dr189-jb729 |
F = 47.67% |
F = 58.13% |
F = 38.69% |
F = 37.67% |
Stopword removal |
sm362 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
fe73 |
F = 78.06% |
F = 78.36% |
F = 46.76% |
F = 47.60% |
Extended stopword removal |
ir46 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
js603 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
ls305 |
F = 78.00% |
F = 78.06% |
F = 46.88% |
F = 47.71% |
Stopwords removal |
ab717 - my28 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
Stopwords removal |
kg190 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
pj46 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
fc54 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
sn144 |
F = 71.36% |
F = 72.46% |
F = 39.21% |
F = 39.29% |
None |
ds371 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
nf55 |
F = 78.00% |
F = 78.06% |
F = 46.88% |
F = 47.71% |
remove stopwords |
mf401 |
F = 78.00% |
F = 78.06% |
F = 46.88% |
F = 47.71% |
removed stopwords |
pk104 |
F = 77.49% |
F = 78.46% |
F = 47.47% |
F = 47.48% |
None |
sa194+lf189 |
F = 77.60% |
F = 78.46% |
F = 47.33% |
F = 47.33% |
None |