AD Teaching Wiki:

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

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++


/!\ Edit conflict - other version:


Chris Sch

18.2s

0.2s

57.3s

37%

Core 2 Duo @ 2.5GHz / 4GB

Java


/!\ Edit conflict - your version:


Chris Sch

21.3s

0.3s

60.5s

37%

Core 2 Duo @ 2.5GHz / 4GB

Java


/!\ End of edit conflict


AD Teaching Wiki: InformationRetrievalWS1213/ResultsNaiveBayes (last edited 2013-01-22 22:56:06 by 141)