According to the training data, the TrainLetter.txt linear SVM models is learned by using SVMlib, and then the classification results of the test data TestLetter.txt are predicted

libsvm-3.20
libsvm-3.20\COPYRIGHT
libsvm-3.20\FAQ.html
libsvm-3.20\heart_scale
libsvm-3.20\java
libsvm-3.20\java\libsvm
libsvm-3.20\java\libsvm.jar
libsvm-3.20\java\libsvm\svm.java
libsvm-3.20\java\libsvm\svm.m4
libsvm-3.20\java\libsvm\svm_model.java
libsvm-3.20\java\libsvm\svm_node.java
libsvm-3.20\java\libsvm\svm_parameter.java
libsvm-3.20\java\libsvm\svm_print_interface.java
libsvm-3.20\java\libsvm\svm_problem.java
libsvm-3.20\java\Makefile
libsvm-3.20\java\svm_predict.java
libsvm-3.20\java\svm_scale.java
libsvm-3.20\java\svm_toy.java
libsvm-3.20\java\svm_train.java
libsvm-3.20\java\test_applet.html
libsvm-3.20\Makefile
libsvm-3.20\Makefile.win
libsvm-3.20\matlab
libsvm-3.20\matlab\libsvmread.c
libsvm-3.20\matlab\libsvmread.mexw64
libsvm-3.20\matlab\libsvmwrite.c
libsvm-3.20\matlab\libsvmwrite.mexw64
libsvm-3.20\matlab\make.m
libsvm-3.20\matlab\Makefile
libsvm-3.20\matlab\README
libsvm-3.20\matlab\svmpredict.c
libsvm-3.20\matlab\svmpredict.mexw64
libsvm-3.20\matlab\svmtrain.c
libsvm-3.20\matlab\svmtrain.mexw64
libsvm-3.20\matlab\svm_model_matlab.c
libsvm-3.20\matlab\svm_model_matlab.h
libsvm-3.20\python
libsvm-3.20\python\Makefile
libsvm-3.20\python\README
libsvm-3.20\python\svm.py
libsvm-3.20\python\svmutil.py
libsvm-3.20\README
libsvm-3.20\svm-predict.c
libsvm-3.20\svm-scale.c
libsvm-3.20\svm-toy
libsvm-3.20\svm-toy\gtk
libsvm-3.20\svm-toy\gtk\callbacks.cpp
libsvm-3.20\svm-toy\gtk\callbacks.h
libsvm-3.20\svm-toy\gtk\interface.c
libsvm-3.20\svm-toy\gtk\interface.h
libsvm-3.20\svm-toy\gtk\main.c
libsvm-3.20\svm-toy\gtk\Makefile
libsvm-3.20\svm-toy\gtk\svm-toy.glade
libsvm-3.20\svm-toy\qt
libsvm-3.20\svm-toy\qt\Makefile
libsvm-3.20\svm-toy\qt\svm-toy.cpp
libsvm-3.20\svm-toy\windows
libsvm-3.20\svm-toy\windows\svm-toy.cpp
libsvm-3.20\svm-train.c
libsvm-3.20\svm.cpp
libsvm-3.20\svm.def
libsvm-3.20\svm.h
libsvm-3.20\TestLetter
libsvm-3.20\tools
libsvm-3.20\tools\checkdata.py
libsvm-3.20\tools\easy.py
libsvm-3.20\tools\grid.py
libsvm-3.20\tools\README
libsvm-3.20\tools\subset.py
libsvm-3.20\Train1.asv
libsvm-3.20\Train1.m
libsvm-3.20\TrainLetter
libsvm-3.20\windows
libsvm-3.20\windows\libsvm.dll
libsvm-3.20\windows\libsvmread.mexw64
libsvm-3.20\windows\libsvmwrite.mexw64
libsvm-3.20\windows\svm-predict.exe
libsvm-3.20\windows\svm-scale.exe
libsvm-3.20\windows\svm-toy.exe
libsvm-3.20\windows\svm-train.exe
libsvm-3.20\windows\svmpredict.mexw64
libsvm-3.20\windows\svmtrain.mexw64

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．