fs_line {structToolbox} | R Documentation |
Plots the result of the evaluated models against the values the number of features within the search range for forward_selection_by_rank objects.
fs_line(...)
... |
additional slots and values passed to struct_class |
struct 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_byrank(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)