EXP project

<p>CSV Reader - original dataset - 284,807 transactions</p><p>Missing Value - removes missing value to clean data</p><p>Number to String - converts class column into categorical data for use in the regression learner</p><p>X-Partitioner - splits data for sampling and model training</p><p>Row Filter - sorting for just the fraudulent transaction through the binary label (1)</p><p>Independent Sample T-Test - whether the mean transaction Amount differs between fraud and legitimate transactions (null hypothesis rejected)</p><p>Statistics, Line Plot, Bar Chart - exploring the value of V1-V28 and amount across the classes</p><p>Logistic Regression Learner, Predictor, Scorer - training a new model using V1-V28 (null hypothesis rejected) </p>