Icon

P2.2.4

Comparison of ARIMA model settings to predict a time series - Observe predictive performance for different settings

Order of integration = 1
AR = 10
MA = 3 & 5

Order of integration = 2
AR = 10
MA = 3 & 5

Select rowID and cluster_26 columns
Column Filter
Report performanec
Numeric Scorer
90% for trainint 10% for testing
Table Partitioner
Introduce missing hours
Timestamp Alignment
Assess performance
ARIMA Predictor
Energy usage data
CSV Reader
plot real vs. predicted
Line Plot (JavaScript) (legacy)
Estimate ARIMA parameters
ARIMA Learner
Estimate ARIMA parameters
ARIMA Learner
Report performanec
Numeric Scorer
Assess performance
ARIMA Predictor
Report performanec
Numeric Scorer
Assess performance
ARIMA Predictor
plot real vs. predicted
Line Plot (JavaScript) (legacy)
Report performanec
Numeric Scorer
plot real vs. predicted
Line Plot (JavaScript) (legacy)
Interpolate missing values
Missing Value
Assess performance
ARIMA Predictor
Estimate ARIMA parameters
ARIMA Learner
convert date/time into Date&Time objects
String to Date&Time (deprecated)
plot real vs. predicted
Line Plot (JavaScript) (legacy)
Select a subset of datato reduce computational demand
Row Filter
Estimate ARIMA parameters
ARIMA Learner

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: chris
Created at: 2021-05-19
On NodePit since: 2026-04-24
Last update: 2026-04-24
Created with KNIME version: v5.8.3

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

Try NodePit Runner!