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Project_​2

Loads and reads telecom csv file

CSV Reader
Statistics View
replaces missing values with median
Missing Value
merges Auto Pay to AutoPay
String Replacer
changes churned values to strings
Number to String
compares actual to predictedchurn to produce confusion matrix
Scorer
scans churned column to see what values are in it (0,1)
Domain Calculator
splits data 80/20 into training/testing
Table Partitioner
trains 100 decision trees on the training set to predict Churn_Flag
Random Forest Learner
Random Forest Predictor applies the model to the unseen 20% test set
Random Forest Predictor

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