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| Deletions are marked like this. | Additions are marked like this. |
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| ||'''Name''' ||'''Reading time''' ||'''Training time'''|| '''Prediction time'''||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' ||'''Feature Selection''' || | ||<tablewidth="1066px">'''Name''' ||'''Reading time''' ||'''Training time'''|| '''Prediction time'''||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' ||'''Feature Selection''' || |
| Line 12: | Line 12: |
| ||Christoph S ||34.3s ||1.1s ||4.1s ||67% || Core 2 Duo @ 1.6GHz / 2GB ||C++ ||No stopwords. Use 1653 training points. Documents with multiple class labels are used but counted as often as they are used. || | ||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). || |
| Line 16: | Line 16: |
| ||Adrian ||3.5s ||0.05s ||0.1s ||47% || Intel i7 @ 3.4GHz / 16GB ||C++ || || ||Adrian ||3.0s ||0.05s ||0.06s ||55% || Intel i7 @ 3.4GHz / 16GB ||C++ ||no stopwords || |
||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. || |
| Line 21: | Line 22: |
| ||Simon S||18.8s ||0.07s ||8.9s ||27% || Intel X5560 @ 2.8GHz / 36GB ||C++ || || | ||Simon S||18.8s ||0.1s ||8.9s ||27% || Intel X5560 @ 2.8GHz / 36GB ||C++ || || |
| Line 23: | Line 24: |
| ||Ane R ||7.6s ||1s ||4.6s ||27% || Intel i5-2450M @ 2.5GHz / 8GB ||Java || || | ||Ane R ||7.6s ||1.0s ||4.6s ||27% || Intel i5-2450M @ 2.5GHz / 8GB ||Java || || |
| Line 25: | Line 26: |
| ||Tobias F ||10,3s ||3,4s ||24,8s ||19% || Phenom II X4 965 @ 3.4GHz / 4GB ||Java || || | ||Tobias F ||10.3s ||3.4s ||24.8s ||19% || Phenom II X4 965 @ 3.4GHz / 4GB ||Java || || |
| Line 28: | Line 29: |
| ||Matthias F ||10.0s ||1.0s ||8.3.2s ||37% || Intel i7-3612QM CPU @ 2.10GHz / 8GB ||C++ || || ||Andreas H ||3.8s ||0.03s ||1.9s ||50% || Intel P8700 @ 2.53GHz / 4GB ||C++ || word length >= 9 || |
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 i7-3612QM CPU @ 2.10GHz / 8GB |
C++ |
|
Andreas H |
3.8s |
0.03s |
1.9s |
50% |
Intel P8700 @ 2.53GHz / 4GB |
C++ |
word length >= 9 |
