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Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction.
Hanna Meyer
Christoph Reudenbach
Stephan Wöllauer
Thomas Nauss
Published in:
CoRR (2019)
Keyphrases
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variable selection
spatial data
machine learning
data analysis
input variables
data sets
database
knowledge discovery
missing data
training data
input data
raw data
high dimensional
data mining techniques
decision trees
preprocessing
model selection
machine learning algorithms
feature selection
computer vision