#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).
||<tablewidth="100em">'''Name''' ||'''Reading time''' ||'''Training time'''|| '''Prediction time'''||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' ||'''Feature Selection''' ||
||Florian B ||7.3s ||14.9s ||9.5s ||49% || Intel X5560 @ 2.8GHz / 36GB ||Java || ||
||Florian B ||7.9s ||15.0s ||8.6s ||53% || Intel X5560 @ 2.8GHz / 36GB ||Java ||no stopwords ||
||Christoph S ||15.5s ||0.4s ||0.7s ||53% || Core 2 Quad @ 2.8GHz / 4GB ||C++ || ||
||Christoph S ||36.6s ||1.1s ||4.2s ||62% || Core 2 Duo @ 1.6GHz / 2GB ||C++ ||no stopwords ||
||Christoph S ||34.3s ||0.0s ||0.0s ||21% || Core 2 Duo @ 1.6GHz / 2GB ||C++ ||Just predict "class 0" all the time ;) ||
||Christoph S ||34.3s ||1.1s ||4.1s ||67% || Core 2 Duo @ 1.6GHz / 2GB ||C++ ||No stopwords. 1653 training points. Used docs with multiple class labels (counting them). ||
||Matthias H. ||24.8s ||0.4s ||1.7s ||42% || Intel i3 @ 1.3GHz / 4GB ||Java || ||
||Stefan ||10.0s ||0.1s ||43.0s ||47% || Intel i5 @ 1.7GHz / 4GB ||Java || ||
||Anthony ||7.0s ||6.0s ||23.0s ||18% || Intel i7 @ 2.10GHz / 8GB ||Java || ||
||Adrian B. ||3.5s ||0.1s ||0.1s ||47% || Intel i7 @ 3.4GHz / 16GB ||C++ || ||
||Adrian B. ||3.0s ||0.1s ||0.1s ||55% || Intel i7 @ 3.4GHz / 16GB ||C++ ||no stopwords ||
||Adrian B. ||3.0s ||0.1s ||0.1s ||67% || Intel i7 @ 3.4GHz / 16GB ||C++ ||no stopwords. Use every tenth doc for training, no matter how many labels it has. ||
||Aritz B ||7.7s ||0.1s ||5.4s ||26% || Intel Core 2 Duo @ 2.4GHz / 6GB ||Java || ||
||Tobias S|| 23.9s || 1.1s ||46.9s ||22% || Intel Atom @ 1.6GHz / 2GB || C++|| ||
||Chris Sch|| 17.8s || 0.2s ||16.0s ||37% || Core 2 Duo @ 2.5GHz / 4GB || Java|| ||
||Simon S||18.8s ||0.1s ||8.9s ||27% || Intel X5560 @ 2.8GHz / 36GB ||C++ || ||
||Ander B ||8.4s ||1.6s ||12.8s ||26% || Intel Core i5 @ 2.3GHz / 8GB ||Java || ||
||Ane R ||7.6s ||1.0s ||4.6s ||27% || Intel i5-2450M @ 2.5GHz / 8GB ||Java || ||
||Alves J ||7.9s ||4.2s ||17.1s ||29% || Intel Core 2 Duo @ 2.4GHz / 4GB ||Java || ||
||Tobias F ||10.3s ||3.4s ||24.8s ||19% || Phenom II X4 965 @ 3.4GHz / 4GB  ||Java || ||
||Jan M ||21.3s ||0.3s ||1.5s ||54% || Intel E5645 @ 2.4GHz / 23GB  ||C++ || ||
||Jan M ||18.2s ||0.3s ||1.2s ||62% || Intel E5645 @ 2.4GHz / 23GB  ||C++ ||no stopwords ||
||Matthias F ||10.0s ||1.0s ||8.3.2s ||37% || Intel i7 CPU @ 2.10GHz / 8GB  ||C++ || ||
||Andreas H ||3.8s ||0.03s ||1.9s ||50% || Intel P8700 @ 2.53GHz / 4GB ||C++ || word length >= 9 ||
||Markus F ||8.6s ||0.02s ||5.2s ||54% || Intel Core i5-2500K @ 3.30GHz / 8GB ||C++ || no stopwords ||
||Markus F ||8.6s ||0.02s ||10.7s ||75% || Intel Core i5-2500K @ 3.30GHz / 8GB ||C++ || no stopwords, 10% of all documents as training set ||
||Stephanie E || 14.1s || 0.2s || 2.3s || 48% || Intel Core i5 @ 2.3GHz / 8 GB || Java || ||