The file FlightDelays.csv contains information on all commercial flights departed the Washington, D.C., area and arrived at New York during January 2004. For each flight there is information on the departure and arrival airports, the distance of the route, the scheduled time and date of the flight, and so on. The variable that we are trying to predict is whether or not a flight is delayed. A delay is defined as an arrival that is at least 15 minutes later than scheduled. This assignment has three phases: A. Data Preprocessing 1. Data Reduction: Reduce the number of predictors using the necessary operation (domain knowledge, correlation matrix, etc.). Store the result of this step in a new file “FlightDelaysTestingData.csv” 2. Data Exploration stage: Make a copy to the “FlightDelaysTestingData.csv” file and rename it to “FlightDelaysDataExploration.csv” and use it to provide data summarization using four different Pivot tables to highlight different facts about the database. 3. Data Conversion: As some of the algorithms don’t comply with numerical data. The non-numerical data in the database is required to be converted. You need to provide a reference table to the transformed data. Page 2 of 2 B. Model Building Use the “FlightDelaysTestingData.csv” data file build models based on: 1. Naïve Bayes (NB) Model. 2. Classification and Regression Tree (CART): 3. Logistic Regression. Ideally, the above-mentioned algorithms should work with the following data types: Algorithm Output Type NB Categorical CART Both Log Reg Categorical C. Use Testing Data Make up five new rows (instances) of data and store them in a new file “FlightDelaysTestingData.csv”. Submissions: I. Report 1. Discuss and explain why such a predictor was removed/will be used in model building 2. Provide a reference table to the transformed data 3. Compare the results of the above built models and recommend an algorithm to be used for future prediction. 4. Use the best model to classify the data in “FlightDelaysTestingData.csv” file. II. Excel files Submit all the excel files you have used in this project: 1) FlightDelaysTrainingData.csv 2) FlightDelaysTestingData.csv that shows the classified data III. Weka based model files
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