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> Classification
Classification
nan_cat2bin
—
converts categorial into binary data
nan_classify
—
classifies sample data into categories
nan_confusionmat
—
Confusion matrix for visualization of the performance of an algorithm
nan_fss
—
feature subset selection and feature ranking
nan_kappa
—
estimates Cohen's kappa coefficient
nan_mahal
—
return the Mahalanobis' D-square distance
nan_partest
—
This function calculate the performance, based on Bayes theorem, of a
nan_rocplot
—
plot a Receiver Operating Characteristic (ROC) curve
nan_row_col_deletion
—
selects the rows and columns for removing any missing values.
nan_test_sc
—
apply statistical and SVM classifier to test data
nan_train_lda_sparse
—
Linear Discriminant Analysis for the Small Sample Size Problem as described in
nan_train_sc
—
Train a (statistical) classifier
nan_xval
—
is used for crossvalidation
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