Last updated: Feb 12, 2025
The k-Nearest Neighbor (KNN) node associates a new case with the category
or value of the k objects nearest to it in the predictor space, where k is an integer.
Similar cases are near each other and dissimilar cases are distant from each other.
Example
node = stream.create("knn", "My node")
# Objectives tab
node.setPropertyValue("objective", "Custom")
# Settings tab - Neighbors panel
node.setPropertyValue("automatic_k_selection", False)
node.setPropertyValue("fixed_k", 2)
node.setPropertyValue("weight_by_importance", True)
# Settings tab - Analyze panel
node.setPropertyValue("save_distances", True)
knnnode Properties |
Values | Property description |
|---|---|---|
analysis
|
PredictTarget
IdentifyNeighbors
|
|
objective
|
Balance
Speed
Accuracy
Custom
|
|
normalize_ranges
|
flag | |
use_case_labels
|
flag | Check box to enable next option. |
case_labels_field
|
field | |
identify_focal_cases
|
flag | Check box to enable next option. |
focal_cases_field
|
field | |
automatic_k_selection
|
flag | |
fixed_k
|
integer | Enabled only if automatic_k_selectio is False. |
minimum_k
|
integer | Enabled only if automatic_k_selectio is True. |
maximum_k
|
integer | |
distance_computation
|
Euclidean
CityBlock
|
|
weight_by_importance
|
flag | |
range_predictions
|
Mean
Median
|
|
perform_feature_selection
|
flag | |
forced_entry_inputs
|
[field1 ... fieldN] | |
stop_on_error_ratio
|
flag | |
number_to_select
|
integer | |
minimum_change
|
number | |
validation_fold_assign_by_field
|
flag | |
number_of_folds
|
integer | Enabled only if validation_fold_assign_by_field is False
|
set_random_seed
|
flag | |
random_seed
|
number | |
folds_field
|
field | Enabled only if validation_fold_assign_by_field is True
|
all_probabilities
|
flag | |
save_distances
|
flag | |
calculate_raw_propensities
|
flag | |
calculate_adjusted_propensities
|
flag | |
adjusted_propensity_partition
|
Test
Validation
|
Was the topic helpful?
0/1000