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Assignment1

test set 1
File Reader
training set 1
File Reader
evaluates output
Scorer
train model Ainput: training setoutput: survived(?)
Logistic Regression Learner
tests model A
Logistic Regression Predictor
evaluates output
Scorer
predicts with outputsfrom test set and model A
Logistic Regression Predictor
evaluates output
Scorer
evaluates output for logistic regression predictor
Scorer
trains for model C
Naive Bayes Learner
trains for model D
Random Forest Learner
tests model D
Random Forest Predictor
tests model C
Naive Bayes Predictor
evaluates output for Naive Bayes
Scorer
ROC Curve
ROC Curve
evaluates output for Random Forest Predictor
Scorer
ROC Curve
ROC Curve
output 1: survived (yes)(group A and B)
Table Partitioner
ROC Curve
ROC Curve
reads full src folder
CSV Reader
test set 2(group B and D)
Concatenate
sorts survivedby yes and no
Rule-based Row Splitter
shuffle using seed
Shuffle
output 2: survived (no)(group C and D)
Table Partitioner
training set 2(group A and C)
Concatenate
trains model Binput: groups A + Coutput: survived(?)
Logistic Regression Learner
tests model B
Logistic Regression Predictor
shuffle using seed
Shuffle
tests model B
Logistic Regression Predictor

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Created by: 104397337
Created at: 2026-04-16
On NodePit since: 2026-04-18
Last update: 2026-04-18
Created with KNIME version: v5.8.3

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