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Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets.
Richard Marchese Robinson
Anna Palczewska
Jan Palczewski
Nathan J. Kidley
Published in:
J. Chem. Inf. Model. (2017)
Keyphrases
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benchmark data sets
random forest
linear models
machine learning algorithms
decision trees
random forests
data sets
variable selection
linear model
feature set
linear regression
gaussian processes
learning algorithm
ensemble methods
machine learning
multi label
image classification
prediction accuracy