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Solution 4 Training the Random Forest Algorithm

This workflow shows a solution to 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.tablescore Partitioning DecisionTree Learner Decision TreePredictor Scorer Table Reader Random ForestLearner Random ForestPredictor Scorer Math Formula 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.tablescorePartitioning DecisionTree Learner Decision TreePredictor Scorer Table Reader Random ForestLearner Random ForestPredictor Scorer Math Formula

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Created by: maarit.widmann
Created at: 2022-03-01
On NodePit since: 2023-09-25
Last update: 2024-11-04
Created with KNIME version: v4.5.2
Tags: educationL4-ML

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