Differences between revisions 27 and 56 (spanning 29 versions)

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 first decimal place. Briefly specify your variant and any refinements you might have implemented.

Name	Baseline Precisions	Variant Precisions	p-values T-Test	Additional Information
Elmar	74.0% / 66.0% / 79.8%	80.0% / 68.0% / 73.2%	47.8% / 67.1% / 0.2%	Variant: logistic regression

-  ⇤ ← Revision 27 as of 2016-01-25 21:03:26 → 
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= 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 first decimal place. Briefly specify your variant and any refinements you might have implemented.
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-'''Precision''': the precision in percent rounded to integer
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-||<tablewidth="100%" tableheight="auto" style="text-align:center" |2> '''Name''' ||<:> '''Baseline''' |||||| '''Variant 1''' |||||| '''Variant 2'''  ||<style="text-align:center" |2>'''Parameters''' ||
||<:>   '''Precision''' ||<:>   '''Precision''' ||<:> '''p-value (Z)''' ||<:> '''p-value (T)''' ||<:>   '''Precision''' ||<:> '''p-value (Z)''' ||<:> '''p-value (T)''' ||
||Elmar         ||<:>50 / 60 / 70||<:>50 / 60 / 72||<:>1.5 / 4.6 / 2 ||<:>1.5 / 4.6 / 2 ||<:>50 / 60 / 73||<:>1.5 / 4.6 / 0 ||<:>1.5 / 4.6 / 0 || V1: avg. perceptron, V2: log. regression ||
+||<tablewidth="100%" tableheight="auto" style="text-align:center"> '''Name''' ||<:>   '''Baseline Precisions''' ||<:>   '''Variant Precisions''' ||<:> '''p-values T-Test'''  ||'''Additional Information''' ||
|| Elmar ||<:>74.0% / 66.0% / 79.8%||<:>80.0% / 68.0% / 73.2%||<:>47.8% / 67.1% / 0.2% || Variant: logistic regression ||