Login / Signup
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed.
Victoria López
Alberto Fernández
Francisco Herrera
Published in:
Inf. Sci. (2014)
Keyphrases
</>
highly skewed
data distribution
data sets
imbalanced datasets
training data
original data
small number
data analysis
training set
input data
training samples
decision trees
classification accuracy
data sources
reinforcement learning
high dimensional data
benchmark datasets
sliding window
feature extraction
missing values
class imbalance
training dataset
learning algorithm
machine learning