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| 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 (rounded to the nearest integer). 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++). ||'''Name''' ||'''Reading time''' ||'''Training time'''|| '''Prediction time'''||'''Correct %''' ||'''Processor / RAM''' ||'''Language''' || ||Florian B ||10s ||10s ||10s ||50%|| Intel X5560 @ 2.8GHz / 36GB ||Java || |
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 ||3.7s ||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++|| || |
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 |
3.7s |
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++ |
|