Icon

Regressions

Trees

Naive bayes

Linear regresion

validator

on 70:30 random

on 10:90 statified

on 70:30 stratified

Scores

decision tree

random tree

ETL

Logistic regression

validator

SVM

Table Partitioner
Table Partitioner
Naive Bayes Learner
Scorer
Naive Bayes Predictor
Normalizer
Naive Bayes Predictor
Naive Bayes Learner
Scorer
Random Forest Predictor
Tree Ensemble Statistics
Scorer
ROC Curve
Decision Tree Learner
straf by Prod
Table Partitioner
Decision Tree Predictor
Viewer
Decision Tree View (JavaScript) (legacy)
Random Forest Learner
Scorer
delete miising values
Row Filter
rename to "DLS"
Column Renamer
Replace numbers in 'director_deathYear' with 'dead' string
String Replacer
CSV Reader
With director names
Row Filter
10:90
Table Partitioner
reggresion input: money data
Column Filter
Y out
Column Filter
Predicted Y
Column Appender
Regression Predictor
70:30
Table Partitioner
Predicted Y
Column Appender
Linear Regression Learner
Y out
Column Filter
reggresion input: rating data
Column Filter
10:90
Table Partitioner
Regression Predictor
Logistic Regression Learner
R^2 0.899
Numeric Scorer
70:30
Table Partitioner
Logistic Regression Predictor
Scorer
70:30
Table Partitioner
Rating : >=6 & <6
Rule Engine
SVM Learner
Logistic Regression Predictor
String to Date&Time
delete useless
Column Filter
Scorer
SVM Predictor
Naive Bayes Learner
Table Partitioner
Scorer
Naive Bayes Predictor

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: Maciej
Created at: 2026-01-14
On NodePit since: 2026-03-04
Last update: 2026-03-04
Created with KNIME version: v5.8.2

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