#acl All:read,write
= Results for Exercise Sheet 10 (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, 3, and 4 = running time of your program for reading the CSV file, training, and prediction, respectively, in seconds (with exactly one digit after the dot). Column 5 = percentage of your predictions that were correct. Column 5 = machine specification as usual (processor frequency with exactly one digit after the dot, amount of RAM as an integer, no secondary details about processor). Column 6 = programming language (Java or C++). Column 7 = A short description of the feature selection improvements you made (if you made any).
||'''Name''' ||'''Reading time''' ||'''Training time'''|| '''Prediction time'''||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' ||'''Feature Selection''' ||
||Florian B ||6.5s ||16.0s ||9.5s ||30% || Intel X5560 @ 2.8GHz / 36GB ||Java || ||
||Florian B ||7.8s ||12.6s ||2.1s ||55% || Intel X5560 @ 2.8GHz / 36GB ||Java ||no stopwords + only frequent words ||
||Christoph S ||15.5s ||0.4s ||0.7s ||53% || Core 2 Quad @ 2.8GHz / 4GB ||C++ || ||
||Christoph S ||36.6s ||1.08s ||4.9s ||59% || Core 2 Duo @ 1.6GHz / 2GB ||C++ ||no stopwords ||