AD Teaching Wiki:

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

28ms

87ms

Intel i5-3520M @ 2.8GHz / 8GB

java

AlexM

0.057s

3.1s

85%

Intel Core 2 Duo @ 2.0Ghz / 4GB

Java

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RaminZ

28ms

87ms

Intel i5-3520M @ 2.8GHz / 8GB

java

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RaminZ

28ms

87ms

Intel i5-3520M @ 2.8GHz / 8GB

java

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RaminZ

28ms

87ms

Intel i5-3520M @ 2.8GHz / 8GB

java

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RaminZ

28ms

87ms

Intel i5-3520M @ 2.8GHz / 8GB

java

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AD Teaching Wiki: InformationRetrievalWS1314/ResultsClassification (last edited 2014-01-20 18:32:57 by p5B267120)