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Size: 759
Comment:
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Size: 1077
Comment:
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| Deletions are marked like this. | Additions are marked like this. |
| Line 10: | Line 10: |
| ||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 || |
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 |