Evaluation of predictive models based on random forest, decision tree and support vector machine classifiers and virtual screening of anti-mycobacterial compounds.
Madhulata KumariNeeraj TiwariNaidu SubbaraoSubhash ChandraPublished in: Int. J. Comput. Biol. Drug Des. (2017)
Keyphrases
- random forest
- decision trees
- support vector machine classifiers
- drug discovery
- machine learning
- ensemble methods
- feature set
- machine learning algorithms
- classification models
- neural network
- multi label
- decision tree learning algorithms
- data sets
- high throughput
- multi class
- probabilistic model
- training set
- training data
- virtual screening