#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 isual 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 ||95.5% / 3 / 0.0159 || 96.1% / 0 / 1.070 || 87.5% / 84 / 3.420 ||
||Florian B ||95.3% / 3 / 0.0002 ||96.3% / 0 / 1.077 ||91.1% / 69 / 3.274 ||
||Fabian S||99.3% / 8 / 0.0004 || 100% / 0 / 0.45067 ||98.6% / 15 / 0.7563 ||
||Nikolaus ||97.1% / 3 / 0.0099 ||95.1% / 0 / 1.06 ||71.2% / 247 / ? ||
||Jan M ||97.1% / 5 / 0.015 ||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 / ?? ||62.7% / 0 / 1.839 ||??.?% / 67 / 0.6102 ||
||Andreas H||97.1% / 3 / 0.002||95.1% / 0 / 1.06||71.2% / 247 / 7.4||
||Dennis P, Marcel G||94.1% / 4 / 0.0099||95.6% / 0 / 1.1064 ||79.2% / 193 / 6.7080 ||
||Aritz B||95.3% / 3 / ??||96.3% / 0 / 1.077 ||91.1% / 69 / 3.274 ||
||Markus F||95.2% / 3 / 0.00025||96.3% / 0 / 1.0813 ||91.1% / 68 / 3.2811 ||
||Chris||94.1% / 4 / ?? || ??% / ?? / ?? || ??% / ?? / ?? ||
||Anthony ||94.1% / ?? / ?? || 58.14% / 0 / 1.99 || ?? / ?? / ?? ||
||Ander B ||95.3% / 3 / ?? ||96.3% / 0 / 1.077 ||91.1% / 69 / 3.274 ||
||sm200||96.0% / 4 / 0.74 || ?? / 0 / 1.8 ||?? / 193 / 0.3 ||
||Bettina H||97.2% / 4 / 0.01828 || 95.1% / 0 / 1.058 || 71.3% / 248 / 7.437 ||
||Ane R||95.2% / 3 / ?? ||96.3% / 0 / 1.077 ||91% / 69 / 3.27 ||
||Manuel M||94.1% / 4 / 0.002 || 96.0% / ?? / ?? || 80.0% / ?? / ?? ||
||Niklas||95.9% / 4 / 0.0027|| 97.7% / 0 / 0.97 || 87.0% / 94 / 3.125||
||Christoph G||97.1% / 3 / 0.002140 || ?? / ?? / ?? || ?? / ?? / ?? ||
||Stefan B.||97.14% / 1 / 0.000083 || ?? / ?? / ?? || ?? / ?? / ?? ||
||Philipp B.||96.98% / 17 / 0.005370 || ?? / ?? / ?? || ?? / ?? / ?? ||
||Simon S.||94.0% / 4 / 0.013902 || ?? / ?? / ?? || ?? / ?? / ?? ||
||Joachim W.||55.1% / ? / ???? || ?? / ?? / ?? || ?? / ?? / ?? ||
||Robin S.||96.7% / 4 / 0.0150 || ?? / ?? / ?? || ?? / ?? / ?? ||
||Carlos L. ||94.07% / ? / 0.033 || 89.32% / 0 / 4.02109 || 57.03% / 568 / 0.84707 ||