Icon

Exercise 4 Training the Random Forest Algorithm

This workflow shows a hands-on exercise in the L4-ML Introduction to Machine Learning Algorithms self-paced course

Task 2: Check the attribute statistics of a Random Forestmodel 1. Calculate the sum of #splits on levels 0, 1, and 2 divided bythe sum of #candidates on levels 0, 1, and 2 Task 1: Compare the prediction performances of the decisiontree and Random Forest algorithms1. Predict the "class" column with the Random Forest algorithm2. Score the model split intotraining and testReaddec-tree-data.table Partitioning DecisionTree Learner Decision TreePredictor Scorer Table Reader Task 2: Check the attribute statistics of a Random Forestmodel 1. Calculate the sum of #splits on levels 0, 1, and 2 divided bythe sum of #candidates on levels 0, 1, and 2 Task 1: Compare the prediction performances of the decisiontree and Random Forest algorithms1. Predict the "class" column with the Random Forest algorithm2. Score the model split intotraining and testReaddec-tree-data.tablePartitioning DecisionTree Learner Decision TreePredictor Scorer Table Reader

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: maarit.widmann
Created at: 2022-03-01
On NodePit since: 2023-09-25
Last update: 2024-11-21
Created with KNIME version: v4.5.2
Tags: educationL4-ML

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!