Models for prediction of anti- HIV-1 activity of 5-Alkyl-2-alkylamino-6-(2, 6-difluorophenylalkyl)-3, 4-dihydropyrimidin-4(3H)-ones using random forest, decision tree and moving average analysis.
Rohit DuttHarish DurejaA. K. MadanPublished in: J. Comput. Methods Sci. Eng. (2009)
Keyphrases
- random forest
- moving average
- decision trees
- autoregressive
- random forests
- feature set
- prediction model
- exponential smoothing
- classification models
- prediction accuracy
- logistic regression
- learning algorithm
- multi label
- base classifiers
- ensemble methods
- probabilistic model
- training set
- feature extraction
- image processing
- feature selection