#acl All:read,write = 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 || || '''Name''' |||||| '''BM25''' |||||| '''Only LSI''' |||||| '''BM25 + LSI''' ||'''Parameters''' || ||<:> '''P@3''' || '''P@R''' ||<:> '''MAP''' ||<:> '''P@3''' ||<:> '''P@R''' ||<:> '''MAP''' ||<:> '''P@3''' ||<:> '''P@R''' ||<:> '''MAP''' || ||Elmar ||<:> 50.0 ||<:> 39.0 ||<:> 37.5 ||<:> 3.3 ||<:> 1.9 ||<:> 1.4 ||<:> 56.7 ||<:> 37.9 ||<:> 37.8 || bm25k=1.75, bm25b=0.75, lambda=0.67, k=10, m=20000 ||