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Deletions are marked like this. | Additions are marked like this. |
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||<tablewidth="100%" tableheight="auto" style="text-align:center" |2> '''Name''' ||<:> '''Baseline''' |||| '''Variant 1''' ||<style="text-align:center" |2>'''Parameters''' || | ||<tablewidth="100%" tableheight="auto" style="text-align:center" |2> '''Name''' ||<:> '''Baseline''' |||| '''Your Variant''' ||<style="text-align:center" |2>'''Additional Information''' || |
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||Elmar ||<:>74 / 66 / 70||<:>74 / 69 / 72||<:>100 / 52 / 2 || B: perceptron 10 iters, V1: avg. perceptron, V2: log. regression || | ||Elmar ||<:>74 / 66 / 70||<:>74 / 69 / 72||<:>100 / 52 / 2 || Variant: logistic regression || |
Results for Exercise Sheet 12 (statistical significance tests)
Please add your row to the table below, following the examples already there. Report test results for each of the three test datasets in increasing size (test_ratings_50/test_ratings_200/test_ratings). Specify all numbers in percent, rounded to the next integer. Briefly specify your variants and any refinements you might have implemented.
Precision: the precision in percent rounded to integer
p-value (Z): the p-value of the Z-tests in percent rounded to integer
p-value (T): the p-value of the T-tests in percent rounded to integer
Name |
Baseline |
Your Variant |
Additional Information |
|
Precisions |
Precisions |
p-values T-Test |
||
Elmar |
74 / 66 / 70 |
74 / 69 / 72 |
100 / 52 / 2 |
Variant: logistic regression |