Train Classifier (Decision Tree) Node

AI/ML/Classification

Train Classifier (Decision Tree)

Fit/Train a Decision Tree classifier. Native multi-class support with interpretable rules.

fit_decision_treeml

Inputs4

Outputs2

Security exposure4/10

Packageml

Ratings

Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.

SecurityAttack surface and exposure impact.

4/10Medium

PrivacyPotential sensitivity of processed data.

4/10Medium

PerformanceRuntime or resource pressure.

2/10High

GovernancePolicy, audit, or compliance impact.

3/10High

ReliabilityOperational stability considerations.

3/10High

CostExternal or compute cost impact.

2/10High

Input Pins

Input

Execution

exec_in

Execution trigger that begins Decision Tree training

Data Source

String

source

Choose which backend supplies the training data

Default Database

Database

Max Depth

Integer

max_depth

Maximum depth of the tree. None means unlimited.

Default 10

Min Samples Split

Integer

min_samples_split

Minimum number of samples required to split a node

Default 2

Output Pins

Done

Execution

exec_out

Activated once training completes

Model

Struct

model

Thread-safe handle to the trained Decision Tree classifier

Schema enforced

Node Info

Internal name: fit_decision_tree
Category: AI/ML/Classification