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 multiclass 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 i52450M @ 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 i52500K @ 3.30GHz / 8GB 
C++ 
no stopwords 
Markus F 
8.6s 
0.0s 
10.7s 
75% 
Intel Core i52500K @ 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 i32100 @ 3.10 GHz / 6GB 
Java 

Marc P 
2.8s 
1.5s 
3.2s 
50% 
Intel i5M480 @ 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 