A script to demonstrate Support Vector Machine (SVM) classification on outcomes of the battles of Robocode.
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robocode-svm/README.md

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Description

robocode-svm is a script to demonstrate Support Vector Machine (SVM) classification on outcomes of the battles of Robocode.

Installation

The script runs under Linux and requires robocode, svm-scale, svm-train and svm-predict executables located in the PATH. On Arch Linux (or it's derivative, like i.e. Manjaro), this can be achieved by installing libsvm and robocode from AUR (if enabled) by following command (or equivalent)

yaourt -S robocode libsvm

Usage

Generate the data required for SVM classification and show the accuracy
of the generated SVM model. If coordinates are supported, one visual battle
is shown to support the prediction.

USAGE: robocode-svm ACTION
USAGE: robocode-svm --battle x y [alpha]

     --battle		Shows visual run of the specified battle
  -g,--generate		Just generate the battle data
  -a,--accuracy		Show the accuracy of the SVM model,
  -c,--clean		Delete all the battle data!
  -h,--help		Show this help

Extras

In the extras folder, there is an assignment, that led to this work. Also, for better understanding, there is a sample SVM classification visualised as an image file in 2D space. The alpha parameter (initial gun orientation) was ommited.