The document provides instructions for using support vector machine (SVM) tools, specifically svm_learn and svm_classify for binary classification, as well as svm_multiclass_learn and svm_multiclass_classify for multi-class classification. It details the necessary commands, file inputs for training and testing, and options available for each tool. Additionally, it includes commands for extracting files from tar.gz archives.

4. <line> .=. <target> <feature>:<value> <feature>:<value> ... <feature>:<value> # <info>
<target> .=. +1 | -1 | 0 | <float>
<feature> .=. <integer> | "qid"
<value> .=. <float>
<info> .=. <string>

6. • svm_learn.exe [options] example_file model_file
• svm_classify.exe [options] example_file model_file output_file
Example_file : data file if train -> train.dat
or if test -> test.dat
Model_file : The generated model(“model” which is the name of file in here)
Output_file : The generated prediction(“prediction” which is the name of file in here)

7. svm_learn.exe example1/train.dat example1/traininig_model
svm_classify.exe example1/test.dat example1/training_model example1/prediction
gunzip -c file_name.tar.gz | tar xvf - OR tar –zxvf file_name.tar.gz
./svm_learn example1/train.dat example1/model
./svm_classify example1/test.dat example1/model example1/prediction

10. <line> .=. <target> <feature>:<value> <feature>:<value> ... <feature>:<value> # <info>
<target> .=. <integer>
<feature> .=. <integer>
<value> .=. <float>
<info> .=. <string>

12. • svm_multiclass_learn [options(-c 5000)] example_file model_file
• svm_multiclass_classify [options] example_file model_file output_file
Example_file : data file if train -> train.dat
or if test -> test.dat
Model_file : The generated model(“model” which is the name of file in here)
Output_file : The generated prediction(“prediction” which is the name of file in here)

13. svm_multiclass_learn.exe -c 5000 example4/train.dat example4/traininig_model
svm_multiclass_classify.exe example4/test.dat example4/training_model example4/prediction
gunzip -c file_name.tar.gz | tar xvf - OR tar –zxvf file_name.tar.gz
./svm_multiclass_learn -c 5000 example4/train.dat example4/traininig_model
./svm_multiclass_classify example4/test.dat example4/training_model example4/prediction