Классификация текста на Java с WEKA — анализ финансовых транзакций

copyright from Alex Titov
Иморт отсновных инструментов WEKA и Java
public class DebitCreditWekaClassifier {...}
Защищенные переменные класса классификатора
Конструктор основного класса
LOGGER.info("Evaluation Result: \n"+wt.evaluate());
....
Результат анализа:
Correctly Classified Instances 8 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.2334
Root mean squared error 0.2456
Relative absolute error 46.6838 %
Root relative squared error 49.1217 %
Total Number of Instances 8

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R&D engineer in machine learning and data analysis. Java, C/C++, Python, M and CUDA. HPC, processors architectures and parallel systems.

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Alexey Titov

Alexey Titov

R&D engineer in machine learning and data analysis. Java, C/C++, Python, M and CUDA. HPC, processors architectures and parallel systems.

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