文件列表:

a.mat (1719, 2018-11-06)
accuracy.m (434, 2018-11-06)
afull.mat (67576, 2018-11-06)
data\test (913974, 2018-11-06)
data\train (8294522, 2018-11-06)
data\train-small (1953170, 2018-11-06)
Part_a_b.m (909, 2018-11-06)
Part_c.m (1090, 2018-11-06)
Part_d.m (1149, 2018-11-06)
wrapper.py (2811, 2018-11-06)
data (0, 2018-11-06)

Spam Classification using SVM wrapper.py ——> use to create the data in the required format for the program to read. Part a——> Solve dual objective of SVM using CVX package in MATLAB. Part b——> Calculate the require values and the accuracy. Part c——> Solve SVM problems using gaussian kernel. Part d——> Solve dual objective using linear and gaussian kernel using libsvm.

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