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Solution 2 Training Algorithms for Numeric Prediction

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

Task 1: Inspect bivariate relationships visually1. Draw one predictor feature vs target in a scatter plot2. Change the axis column via the view's menu Task 2: Compare the performances of a linear regression model and a regression treeon linear data1. Partition the data into training (70%) and test (30%) sets. Draw randomly.2. Predict the target column using the following algorithms:- Linear Regression- Simple Regression Tree3. Assess the performances of the models Task 3: Compare the performances of a linear regression model and a regression tree on non-linear data 1. Access the output of the "Make data non-linear" metanode and visualize the feature column vs the target column in ascatter plot2. Repeat steps 1-3 from Task 2 on this data check linear relationship visuallyreadnumeric-prediction-data.table Scatter Plot Partitioning Linear RegressionLearner RegressionPredictor Simple RegressionTree Learner Simple RegressionTree Predictor Numeric Scorer Numeric Scorer Partitioning Simple RegressionTree Learner Numeric Scorer Numeric Scorer RegressionPredictor Linear RegressionLearner Simple RegressionTree Predictor Make datanon-linear Scatter Plot Table Reader Task 1: Inspect bivariate relationships visually1. Draw one predictor feature vs target in a scatter plot2. Change the axis column via the view's menu Task 2: Compare the performances of a linear regression model and a regression treeon linear data1. Partition the data into training (70%) and test (30%) sets. Draw randomly.2. Predict the target column using the following algorithms:- Linear Regression- Simple Regression Tree3. Assess the performances of the models Task 3: Compare the performances of a linear regression model and a regression tree on non-linear data 1. Access the output of the "Make data non-linear" metanode and visualize the feature column vs the target column in ascatter plot2. Repeat steps 1-3 from Task 2 on this data check linear relationship visuallyreadnumeric-prediction-data.tableScatter Plot Partitioning Linear RegressionLearner RegressionPredictor Simple RegressionTree Learner Simple RegressionTree Predictor Numeric Scorer Numeric Scorer Partitioning Simple RegressionTree Learner Numeric Scorer Numeric Scorer RegressionPredictor Linear RegressionLearner Simple RegressionTree Predictor Make datanon-linear Scatter Plot Table Reader

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Created by: maarit.widmann
Created at: 2022-03-15
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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