Results for Exercise Sheet 10 (classification with Naive Bayes)
Please add your row to the table below, following the examples already there. 1. The time for your "train" method. Specify in seconds, rounded to the next integer. 2. The time for your "predict" method. Specify in seconds, rounded to the next integer. 3. The precision of your predictions on the testing set. Specify in percent, rounded to the next integer. 5. Processor / RAM = the specs of the machine you used. Specify the processor frequency with exactly one digit after the dot, the amount of RAM as an integer, and don't provide secondary details about the processor. 6. Language = Java or C++.
Name |
Training time |
Prediction time |
Precision |
Processor / RAM |
Language |
Björn |
0.2s |
2s |
83% |
Intel X5560 @ 2.8GHz / 36GB |
C++ |
Freya & Wera |
0.011s |
1.6s |
78% |
Intel i5-2450M @ 2.5Ghz / 8GB |
C++ |
MartinM |
0.1s |
0.2s |
90% |
Intel i7-3770K @ 3.5GHz / 8GB |
Java |
Bastian |
0.014s |
0.9s |
87% |
Intel i5-3570K @ 3.4GHz / 8GB |
C++ |
Manuel |
0.09s |
0.045s |
83% |
Intel E3-1230v3 @ 3.7GHz / 4GB (VM) |
C++ |
Janosch |
0.019s |
2.5s |
84% |
Intel i7-3520M @ 2.9GHz / 8GB |
C++ |
RaminZ |
?.?s |
?.?s |
??% |
Intel i5-3520M @ 2.8GHz / 8GB |
java |
AlexM |
0.057s |
3.1s |
85% |
Intel Core 2 Duo @ 2.0Ghz / 4GB |
Java |
Nghia |
0,071s |
1,4s |
27% ??? |
Intel i7 2630QM @ 2.00Ghz/ 8GB |
Java |
José |
0.11s |
13.8s |
84% |
Intel i5 @ 2.4GHz / 8GB |
Java |