<?xml version="1.0"?>

<!-- created on 2010-5-15, by jun -->

<hssvm-config>

    <!-- this factor determines storing how many rows of kernel matrix in cache -->
	<cache-factor>0.05</cache-factor>
	
	<!-- the type of kernel function -->
	<kernel>2</kernel>
	
	<!-- tolerance of termination criterion -->    
	<eps>0.001</eps>

    <!-- names of sample file -->
	<train-file>breastcancertrain</train-file>
	<test-file>breastcancertest</test-file>
	
	<!-- the fold number in cross-validation -->   
	<fold>5</fold>

    <!-- the scopes of C and gamma -->
	<C-lower>0.1</C-lower>
	<C-upper>0.5</C-upper>
	<C-step>0.1</C-step>
	<gamma-lower>1</gamma-lower>
	<gamma-upper>5</gamma-upper>
	<gamma-step>1</gamma-step>

    <!-- whether or not normalize data when searching parameter -->
    <!-- true: scale data,  false: not to do -->
	<if-search-scale>true</if-search-scale>
	
	<!-- whether or not normalize data when training and prediction -->
	<!-- true: scale data,  false: not to do --> 
	<if-classify-scale>true</if-classify-scale>
	
	<!-- scaling bound,it's availabe only if-search-scale or if-classify-scale is availabe -->
	<scale-lower>-1</scale-lower>
	<scale-upper>1</scale-upper>

    <!--0: random, 1: k-fold cross, 2: k-fold random cross-->
	<cross-validate-way>1</cross-validate-way>

    <!-- the desired lowest accuracy, all gamma-C pairs of searching results -->
    <!-- which are equal or greater than this accuracy value will be used for --> 
    <!-- classification process -->    
	<required-accuracy>0.85</required-accuracy>
	
	<!-- determines how to choose optimal gamma-C pair --> 
    <!-- 0: minimal C,  1: minimal gamma,  2: both C and gamma are minimal -->
	<best-param-strategy>0</best-param-strategy>
	
	<!-- true: write file, false: not do --> 
	<if-write-search-result>false</if-write-search-result>

</hssvm-config>