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NickDiRe_​RolendStewart_​AdamFast_​titanic_​kaggle_​project

This is the training dataset
CSV Reader
Uses median for numbers and most frequent for strings
Missing Value
Predicts the test sectionof the training data
Logistic Regression Predictor
Sex and embarked arenow one-hot encoded
Category to Number
Gets rid of unnecessarycolumns
Column Filter
Learns training dataset
Random Forest Learner
Splits training set intotest and train
Table Partitioner
Predicts the test sectionof the training data
Random Forest Predictor
Missing Value
Scatter Plot Matrix
Evaluates our model
Scorer
Learns training dataset. Takes 9 years but I swear it works
SVM Learner
This is the training dataset
CSV Reader
Learns training dataset
K Nearest Neighbor
Evaluates our model
Scorer
Predicts the test section of the training data
SVM Predictor
Evaluates our model
Scorer
I further compared age andsurvived columns in a box plotview
Box Plot
Renames Prediction (Survived) to just Survived
Column Renamer
Sex pie chart
Pie Chart
This is the training dataset
CSV Reader
Here I compared the Age andsurvived columns
Scatter Plot
Missing Value
Category to Number
Prettier Sex pie chart
Sunburst Chart
Table Partitioner
Sex and embarked one-hot
Category to Number
Distribution of ages on titanic
Histogram
Category to Number
Column Filter
Table Partitioner
Evaluates our model
Scorer
Predicts our test file
Random Forest Predictor
Table Partitioner
Uses median fornumbers andmost frequent forstrings
Missing Value
Outputs our test file
CSV Writer
Category to Number
Gets rid of unnecessarycolumns
Column Filter
Column Filter
This is the testing dataset
CSV Reader
Missing Value
Filters out all unnecessarycolumns
Column Filter
Learns training dataset.Tried epoch training but didn't do much
Logistic Regression Learner
Column Filter
This is the training dataset
CSV Reader

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Created by: fbiwa
Created at: 2026-06-25
On NodePit since: 2026-06-26
Last update: 2026-07-03
Created with KNIME version: v5.8.3

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