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Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection.
Noel Pérez
Miguel A. Guevara
Augusto Silva
Isabel Ramos
Joana Loureiro
Published in:
FedCSIS (2014)
Keyphrases
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feature selection
breast cancer diagnosis
machine learning
breast cancer
feature selection algorithms
machine learning methods
machine learning algorithms
feature set
support vector
text classification
feature ranking
naive bayes
text categorization
decision trees
classification models
support vector machine
classification accuracy
model selection
cancer diagnosis
selected features
feature subset
dimensionality reduction
information gain
multi class
logistic regression
feature space
high dimensionality
learning algorithm
training set
feature extraction
training data
gene expression data
ensemble learning
preprocessing step
learning tasks
ensemble classifier
fold cross validation
data preprocessing
unsupervised learning
pattern recognition