Hub
NodeNode / Manipulator

Tree Ensemble Statistics

Analytics Mining Decision Tree Ensemble Random Forest
Drag & drop
Like
Copy short link

Provides basic statistics on the tree ensemble and its trees such as depths of trees and the number of nodes in the trees.

Node details

Input ports
  1. Type: Tree Ensembles
    Ensemble
    Ensemble to calculate statistics on
Output ports
  1. Type: Table
    Tree Ensemble Statistic
    Statistics of the whole ensemble. Including number of trees, minimum, maximum and average on number of levels and number of nodes in the individual trees.
  2. Type: Table
    Tree Statistics
    Statistics of the individual trees. Including number of levels (maximal depth) and number of nodes in a tree.

Extension

The Tree Ensemble Statistics node is part of this extension:

Related workflows & nodes

  1. Training a Random Forest
    Classification Machine learning Prediction
    +11
    Training a decision tree and training a random forest of decision trees.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
  2. Training a Decision Tree
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees. Adult.csv datase…
    rs1 > Public > 09_Random_Forest
  3. Training a Random Forest
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
  4. Training a Random Forest
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees.
    sebastian_sauer > Public > titanic-rf1
  5. Analyzing Churn
    There has been no description set for this workflow's metadata.
    febritawardana > Public > Churn With Dec Tree dan R Forest