Differences between revisions 29 and 71 (spanning 42 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	6.5s	0.1s	5.6s	49%	Intel X5560 @ 2.8GHz / 36GB	Java
Florian B	6.6s	0.1s	4.7s	54%	Intel X5560 @ 2.8GHz / 36GB	Java	no stopwords
Florian B	6.5s	0.1s	4.5s	64%	Intel X5560 @ 2.8GHz / 36GB	Java	no stopwords + also multi-class documents for training
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	0.0s	1.9s	50%	Intel P8700 @ 2.53GHz / 4GB	C++	word length >= 9
Markus F	8.6s	0.0s	5.2s	54%	Intel Core i5-2500K @ 3.30GHz / 8GB	C++	no stopwords
Markus F	8.6s	0.0s	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	10.1s	0.1s	5.5s	49%	Intel i3-2100 @ 3.10 GHz / 6GB	Java
Marc P	2.8s	1.5s	3.2s	50%	Intel i5-M480 @ 2.70GHz / 4GB	Java	word length >= 9
Fabian S	4.9s	0.2s	15.7s	45.2%	Core 2 Duo @ 2.26GHz / 8GB	C++	word length >= 9

-  ⇤ ← Revision 29 as of 2013-01-22 22:48:40 → 
  Size: 1871
  Editor: a224
  Comment:
+   ← Revision 71 as of 2013-01-24 18:27:00 → ⇥
  Size: 4021
  Editor: 141
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 6:
-||'''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++|| ||
||Chris Sch|| 21.3s || 0.3s ||60.5s ||37% || Core 2 Duo @ 2.5GHz / 4GB || Java|| ||
+||<tablewidth="100em">'''Name''' ||'''Reading time''' ||'''Training time''' ||'''Prediction time''' ||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' ||'''Feature Selection''' ||
||Florian B ||6.5s ||0.1s ||5.6s ||49% ||Intel X5560 @ 2.8GHz / 36GB ||Java || ||
||Florian B ||6.6s ||0.1s ||4.7s ||54% ||Intel X5560 @ 2.8GHz / 36GB ||Java ||no stopwords ||
||Florian B ||6.5s ||0.1s ||4.5s ||64% ||Intel X5560 @ 2.8GHz / 36GB ||Java ||no stopwords + also multi-class documents for training ||
||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 ||0.0s ||1.9s ||50% ||Intel P8700 @ 2.53GHz / 4GB ||C++ ||word length >= 9 ||
||Markus F ||8.6s ||0.0s ||5.2s ||54% ||Intel Core i5-2500K @ 3.30GHz / 8GB ||C++ ||no stopwords ||
||Markus F ||8.6s ||0.0s ||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 ||10.1s ||0.1s ||5.5s ||49% ||Intel i3-2100 @ 3.10 GHz / 6GB ||Java || ||
||Marc P||2.8s||1.5s||3.2s||50%||Intel i5-M480 @ 2.70GHz / 4GB||Java||word length >= 9||
||Fabian S||4.9s||0.2s||15.7s||45.2%||Core 2 Duo @ 2.26GHz / 8GB||C++||word length >= 9||