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Final 2

4. Predictive modeling

Training dataset
Excel Reader
Linear Correlation
Number to String
Decision Tree Learner
Table Partitioner
String Replacer
Missing Value
Avg_transaction
Math Formula
Numeric Outliers
String Replacer
Statistics
Math Formula (Multi Column)
give up income share
Column Filter
Statistics
Income_Share
Math Formula
Decision Tree Predictor
Normalizer
Scorer
Table Partitioner
Table Manipulator
MultiLayerPerceptron Predictor
Shows us that Gender contains missing values
Bar Chart
Percentage_Others
Math Formula
Helps us detect a missing value in Marital Status
Bar Chart
String Replacer
Table View
String Replacer
Statistics
Numerical profile: mean, std, missing counts per variable
Statistics
Correlation Insights
Linear Correlation
Stron Skewness detected in Recency
Histogram
Table Manipulator
Column Filter
Cap the value greater than 100 in internet
Rule Engine
Change the 0 in Education with the most occured variable
String Replacer
Numeric Outliers
Bar Chart
ROC Curve
Changes made on Income , Gender and Marital Status
Missing Value
Histogram
CUSTID column was corrected
RowID
Lift Chart (JavaScript) (legacy)
Lift Chart (JavaScript) (legacy)
Percentage_Frozen
Math Formula
ROC Curve
Scorer
RProp MLP Learner
Correlation Filter
Monetary X income
Scatter Plot
Percentage_Canned
Math Formula
Percentage_Beverages
Math Formula
Percentage_Perishables
Math Formula
Table Manipulator
Helps us detect a 0 in Education
Bar Chart
Monetary is strongly right skewed
Histogram
Bar Chart
String Replacer
For Internet values are above 100 detected (It cant be as its a percentage)
Histogram

Nodes

Extensions

Links