Differences between revisions 31 and 68 (spanning 37 versions)

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	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
Christoph G	23.2s	0.3s	14.1s	59%	Intel Pentium D @ 2.8GHz / 2 GB	C++
Bettina H	10.08s	0.09s	5.5s	49%	Intel i3-2100 @ 3.10 GHz / 6GB	Java
Marc P	2.83s	1.45s	3.23s	50%	Intel i5-M480 @ 2.70GHz / 4GB	Java	word length >= 9

-  ⇤ ← Revision 31 as of 2013-01-22 22:55:02 → 
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+   ← Revision 68 as of 2013-01-23 16:59:13 → ⇥
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-||'''Name''' ||'''Reading time''' ||'''Training time'''|| '''Prediction time'''||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' ||'''Feature Selection''' ||
||Florian B ||6.5s ||16.0s ||9.5s ||27% || Intel X5560 @ 2.8GHz / 36GB ||Java || ||
||Florian B ||7.8s ||12.6s ||2.1s ||30% || 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 ||4.9s ||62% || Core 2 Duo @ 1.6GHz / 2GB ||C++ ||no stopwords ||
||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 ||3.5s ||0.05s ||0.1s ||47% || Intel i7 @ 3.4GHz / 16GB ||C++ || ||
||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++|| ||
+||<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 || ||
||Christoph G ||23.2s ||0.3s ||14.1s ||59% ||Intel Pentium D @ 2.8GHz / 2 GB ||C++ || ||
||Bettina H ||10.08s ||0.09s ||5.5s ||49% ||Intel i3-2100 @ 3.10 GHz / 6GB ||Java || ||
||Marc P||2.83s||1.45s||3.23s||50%||Intel i5-M480 @ 2.70GHz / 4GB||Java||word length >= 9||
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----- /!\ '''Edit conflict - other version:''' ----
||Chris Sch|| 18.2s || 0.2s ||57.3s ||37% || Core 2 Duo @ 2.5GHz / 4GB || Java|| ||
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----- /!\ '''Edit conflict - your version:''' ----
||Chris Sch|| 21.3s || 0.3s ||60.5s ||37% || Core 2 Duo @ 2.5GHz / 4GB || Java|| ||
||Ander B ||8.4s ||1.6s ||12.8s ||26% || Intel Core i5 @ 2.3GHz / (GB ||Java || ||

---- /!\ '''End of edit conflict''' ----