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Decision trees

Data exploration section

With 0-minute windows altered

Original

With Normalizer

Random Forest

Decision Tree

Linear regression

Creates the punctuality to show how many minutes a truck is early, late, or if it is just on-time and changes 0-minute windows

Rule engine to change the missing values based of of median

Data cleaning

Creates columns for window start, end, and actual arrival of truck. Then changes it to the form of date&time

Creates the punctuality to show how many minutes a truck is early, late, or if it is just on-time

Linear regression

Random Forest

Decision Tree

Logistic Regression

Random Forest

Decision Tree

Logistic Regression

Linear regression

Logistic Regression

Correlations of data

Heatmap for which hour deliveries seem to come in most often

Numeric Scorer
Creates mins_vs_window_start
Date&Time Difference
Crosstab
Crosstab
Crosstab
Creates punctiality_mins (how much on time or late)
Rule Engine
Crosstab
Creates mins_past_window
Math Formula
Groups day of the week and first hour to show correlation in heatmap
GroupBy
Filters out data that real-life scenario won't have access to, except arrival class as this will be our dependent variable
Column Filter
String Manipulation
Creates Window_Duration
Date&Time Difference
Sorter
Row 1 Producent 6 zero-window rows (30 min). Row 2 all other zero-window rows (60 min — covers Producents 1, 7, 13, 14, 15). Row 3 keeps the original duration for non-zero-window rows.
Rule Engine
Rule Engine
Heatmap
Filters out data that real-life scenario won't have access to, except punctuality as this will be our dependent variable
Column Filter
Numeric Binner
Pivot
Histogram
Bar Chart
Math Formula
Math Formula
Date&Time Part Extractor
Transportation company by Arrival Class
Crosstab
Math Formula
Holiday by Arrival Class
Crosstab
Numeric Scorer
Day of Week by Arrival Class
Crosstab
Excel Reader
Filters specifically for DC1015
Row Filter
String to Number
Row Filter
Column Filter
Rule Engine
Gets rid of any rows still left without data
Missing Value
Manufacturer by Arrival Class
Crosstab
Scatter Plot
This is cool
Conditional Box Plot (legacy)
Regression Predictor
Linear Correlation
Table Partitioner
Statistics
Histogram
Linear Regression Learner
Box Plot
Scorer
Creates punctiality_mins (how much on time or late)
Rule Engine
Excel Reader
Bar Chart
Random Forest Learner
Scorer
Random Forest Predictor
Linear Regression Learner
Row Filter
Table Partitioner
Regression Predictor
Random Forest Learner
Creates Window_Duration
Date&Time Difference
Random Forest Predictor
Creates mins_past_window
Math Formula
Bar Chart
String to Number
Creates Window_start_str
String Manipulation
Creates Window_End_str
String Manipulation
Scorer
One to Many
Filters out data that real-life scenario won't have access to, except punctuality as this will be our dependent variable
Column Filter
Decision Tree Predictor
Scorer
Duplicate Row Filter
Logistic Regression Predictor
Normalizer
If Euro Manufacturer is filled in but Block Manufacturer is missing, the truck carried Euro pallets so Block Manufacturer gets set to 0.
Rule Engine
If Block Unloaded is filled in but Euro Unloaded is missing, the truck unloaded block pallets so Euro Unloaded gets set to 0.
Rule Engine
Table Partitioner
Fills Euro Manufacturer with 0 when Block Manufacturer is populated.
Rule Engine
Scorer
Copies Block Unloaded into Block Manufacturer when Unloaded is filled in but Manufacturer is missing.
Rule Engine
Linear Regression Learner
If Euro Unloaded is filled in but Block Unloaded is missing, the truck unloaded Euro pallets so Block Unloaded gets set to 0.
Rule Engine
Scorer
Regression Predictor
Random Forest Predictor
Scorer
One to Many
Table Partitioner
Table Partitioner
Table Partitioner
Table Partitioner
Adds holidays
CSV Reader
Joiner
Table Partitioner
Random Forest Learner
Decision Tree Learner
Decision Tree Learner
Decision Tree Predictor
Table Partitioner
Table Partitioner
Decision Tree Predictor
Logistic Regression Learner
Numeric Scorer
Logistic Regression Learner
Text View
Logistic Regression Predictor
Scorer
Filters out data that real-life scenario won't have access to, except punctuality as this will be our dependent variable
Column Filter
Text View
Creates Arrival_DT_str
String Manipulation
Text View
Text View
Creates arrival_class
Rule Engine
Normalizer
Creates arrival_class
Rule Engine
Logistic Regression Predictor
Date&Time Part Extractor
One to Many
Changes the new categories from string to time
String to Date&Time
Creates mins_vs_window_start
Date&Time Difference
Table Partitioner
Duplicate Row Filter
Scorer
Table Partitioner
Crosstab
Decision Tree Learner
Logistic Regression Learner
Adds holidays
CSV Reader
Joiner

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