Recently, Acharya et al. (2018) have classified three classes using random forest classifier and reported the classification accuracy of 94%. To the best of our knowledge, we are the first group to achieve over 99% accuracy for three-class classification of heavenly bodies. In future, we intend to use the whole dataset of 4 million objects to train the model which may improve the classification performance. We can also use genetic algorithms to reduce the number of features and select only those, which would improve our accuracy score. Yet another option will be to use genetic parameter and feature optimization with asymmetric AdaBoost classifier as proposed by Viquar et al. (2018).
Heavenly Forest 2006 Download
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