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== Running SVM on the Data ==
== Running SVM on the Data ==
* cd into your libsvm installation's tools directory and run the following command (assuming your training and test files are in ~/kdd and named appropriately):
* cd into your libsvm installation's tools directory and run the following command (assuming your training and test files are in ~/kdd and named appropriately):
  python easy.py ~/kdd/algebra_2008_2009_train.txt_sample_10_random_students.csv_converted.txt ~/kdd/algebra_2008_2009_train.txt_sample_10_random_students.csv_converted.t | tee output.txt
  python easy.py ~/kdd/algebra_2008_2009_train.txt_sample_10_random_students.csv_converted.txt ~/kdd/algebra_2008_2009_train.txt_sample_10_random_students.csv_converted.t


* If you have many predictor variables, this will take a long time.  Prohibitively long, probably.
* If you have many predictor variables, this will take a long time.  Prohibitively long, probably.
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