#acl All:read,write
= Results for Exercise Sheet 11 (SVM vs. Naive Bayes) =
'''Please read the instructions below, before adding something to the table!'''

Add your row to the table below, following the examples already there. Column 2 = percentage of correctly classified documents in the test set, with exactly one digit of precision / the number of documents in the training set that are not classified correctly / the width of the band when taking those mis-classified documents out of the training set (if any). Column 3 = the same for Support Vector Machines without allowing outliers. Column 4 = the same for Support Vector Machines when allowing outliers.

For easier visual reference: the numbers in each of the last three columns are ''% in test set predicted correctly / # misclassified in training set / band width''.

||'''Name''' ||'''Naive Bayes''' ||'''SVM strict'''||'''SVM with outliers||
||Hannah ||??.?% / ?? / ?? ||??.?% / ?? / ?? ||??.?% / ?? / ?? ||
||Florian B ||95.3% / 3 / 4.038 ||96.3% / 0 / 1.077 ||91.1% / 69 / 3.274 ||
||Fabian S||99.3% / 8 / 0.00040 || 100% / 0 / 0.45067 ||98.6% / 15 / 0.75625 ||
||Nikolaus ||97.1% / 3 / 0.0099 ||95.1% / 0 / 1.06 ||71.2% / 247 / ? ||
||Jan M ||97.1% / 5 / 2.24 ||95.6% / 0 / 1.02 ||86.8% / 92 / 1.88 ||
||Simon ||94.1% / ?? / ?? ||??.?% / ?? / ?? ||??.?% / ?? / ?? ||
||Matthias H ||97.2% / 4 / 0.008 ||95.4% / 0 / 1.04 ||75.3% / 205 / 5.85 ||
||Christoph S ||97.1% / 3 / ?? ||95.1% / 0 / ?? ||71.3% / ? / ? ||
||Tobias F ||95,2% / 3 / ?? ||62.72% / 0 / 1.83896 ||??.?% / 67 / 0.61024 ||
||Andreas H||97.1% / 3 / 0.002||95.1% / 0 / 1.06||71.2% / 247 / 7.4||