Title:
ExperimenterTutorial-3.5.3
Download
Description: WEAK development environment profile, introduced WEKAWeka test (Experiment) environment can allow users to create, run, modify and analysis algorithms test, which will deal with the various algorithms than the individual more convenient. For example, users can create an experiment in a series of data sets to run multiple algorithms (schemes), and then two results of the analysis to determine whether a particular algorithm than other algorithms (in the statistical sense) better. Simple CLI through the command line way to run test environments. For example, in the CLI, type the following command through a basic training and testing steps in the Iris data set to run on OneR algorithm. (Note that the order should be placed on the same line, enter CLI.)
- [traffic-agnet] - Jade agent platform using the traffic fl
- [KNNDEMO] - KNN DEMO This is a binary classification
- [NaiveBayesSimple] - Java written NaiveBayesSimple procedures
- [Fisher_example] - An example of Fisher linear discriminant
- [jjj] - kmean algorathim implementation
File list (Check if you may need any files):
ExperimenterTutorial-3.5.3.pdf
