#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 (50 examples/200 examples/all examples). Specify all numbers in percent, rounded to the first decimal place. Briefly specify your variant and any refinements you might have implemented.

||<tablewidth="100%" tableheight="auto" style="text-align:center"> '''Name''' ||<:> '''Baseline Precisions''' ||<:> '''Variant Precisions''' ||<:>'''p-values t-Test'''  ||'''Additional Information''' ||
||Elmar      ||<:>74.0% / 66.0% / 69.8%||<:>80.0% / 68.0% / 73.2%||<:>47.8% / 67.1% / 0.2% || Variant: logistic regression without batches, 10 iterations ||
||Elias & Maxi  ||<:>86.4% / 63.8% / 71.4%||<:>84.6% / 63.9% / 72.1%||<:>82.7% / 83.7% / 26.9% || Variant: logistic regression (no batches), 30 iterations ||
||ES  ||<:>68.0% / 64.0% / 71.1%||<:>74.0% / 69.0% / 73.1%||<:>64.0% / 45.3% / 21.0% || Variant: logistic regression (no batches), stop iteration if wrong predictions are less then 7% of documents, averaging ||
||ID  ||<:>68.0% / 65.0% / 68.2%||<:>76.0% / 66.0% / 72.4%||<:>52,8% / 88.2% / 1.04% || Variant: logistic regression without batches, 10 iterations + averaging ||