fs_line {structToolbox} | R Documentation |
A line plot for forward selection. The computed model performance metric is plotted against the number of features included in the model.
fs_line(...)
... |
Additional slots and values passed to |
A fs_line
object.
# some data D = MTBLS79_DatasetExperiment(filtered=TRUE) # normalise, impute and scale then remove QCs P = pqn_norm(qc_label='QC',factor_name='Class') + knn_impute(neighbours=5) + glog_transform(qc_label='QC',factor_name='Class') + filter_smeta(mode='exclude',levels='QC',factor_name='Class') P = model_apply(P,D) D = predicted(P) # forward selection using a PLSDA model M = forward_selection_by_rank(factor_name='Class', min_no_vars=2, max_no_vars=11, variable_rank=1:2063) * (mean_centre() + PLSDA(number_components=1, factor_name='Class')) M = run(M,D,balanced_accuracy()) # chart C = fs_line() chart_plot(C,M)