A line plot for forward selection. The computed model performance metric is plotted against the number of features included in the model.
Value
A
fs_line
object. This object has no output
slots.
See chart_plot
in the struct
package to plot this chart object.
Inheritance
A fs_line
object inherits the following struct
classes: [fs_line]
>> [chart]
>> [struct_class]
Examples
M = fs_line()
# 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)