<?xml version="1.0"?>
<opencv_storage>
<mltest type_id="opencv-mltest">
	<run_params>
		<nbayes type_id="seq"> 
			<_> waveform </_></nbayes>
		<knearest type_id="seq"> 
			<_> waveform </_>
			<_> abalone </_></knearest>
		<svm type_id="seq"> 
			<_> waveform </_>
			<_> poletelecomm </_></svm>
		<em type_id="seq"></em>
		<ann type_id="seq"> 
			<_> waveform </_></ann>
		<dtree type_id="seq"> 
			<_> mushroom </_>
			<_> abalone </_></dtree>
		<boost type_id="seq"> 
			<_> adult </_></boost>
		<rtrees type_id="seq"> 
			<_> waveform </_>
			<_> abalone </_></rtrees>
		<ertrees type_id="seq">
			<_> waveform </_>
            <_> abalone </_></ertrees>
        <svmsgd type_id="seq">
            <_> waveform </_></svmsgd></run_params>
	<validation>
		<nbayes>
			<waveform>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform></nbayes>
		<knearest> 
			<waveform>
				<model_params>
					<k> 4 </k></model_params>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform>
			<abalone>
				<model_params>
					<k> 4 </k></model_params>
				<data_params>
					<LS> 3133 </LS>
					<resp_idx> 8 </resp_idx>
					<types> ord[1-8],cat[0] </types></data_params></abalone></knearest>
		<svm>
			<waveform>
				<model_params>
					<svm_type> C_SVC </svm_type>
					<kernel_type> LINEAR </kernel_type>
					<degree> 0 </degree>
					<gamma> 1 </gamma>
					<coef0> 0 </coef0>
					<C> 0.5 </C>
					<nu> 0 </nu>
					<p> 0 </p></model_params>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform>
			<poletelecomm>
				<model_params>
					<svm_type> NU_SVR  </svm_type>
					<kernel_type> RBF  </kernel_type>
					<degree> 0 </degree>
					<gamma> 0.00225 </gamma>
					<coef0> 0 </coef0>
					<C> 62.5 </C>
					<nu> 0.03 </nu>
					<p> 0 </p></model_params>
				<data_params>
					<LS> 2500 </LS>
					<resp_idx> 48 </resp_idx>
					<types> ord </types></data_params></poletelecomm>
		</svm>
		<em></em>
		<ann>
			<letter>
				<model_params>
					<train_method> RPROP </train_method>
					<param1> 0.1 </param1>
					<param2> 0.1 </param2></model_params>
				<data_params>
					<LS> 10000 </LS>
					<resp_idx> 17 </resp_idx>
					<types> ord[0-16],cat[17] </types></data_params></letter>
			<spambase>
				<model_params>
					<train_method> BACKPROP </train_method>
					<param1> 0.1 </param1>
					<param2> 0.1 </param2></model_params>
				<data_params>
					<LS> 3221 </LS>
					<resp_idx> 57 </resp_idx>
					<types> ord[0-56],cat[57] </types></data_params></spambase>
			<waveform>
				<model_params>
					<train_method> RPROP </train_method>
					<param1> 0.1 </param1>
					<param2> 0.1 </param2></model_params>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform></ann>
		<dtree>
			<mushroom>
				<model_params>
					<max_depth> 10 </max_depth>
					<min_sample_count> 2 </min_sample_count>
					<use_surrogate> 1 </use_surrogate>
					<max_categories> 16 </max_categories>
					<cv_folds> 0 </cv_folds>
					<is_pruned> 0 </is_pruned></model_params>
				<data_params>
					<LS> 4000 </LS>
					<resp_idx> 0 </resp_idx>
					<types> cat </types></data_params></mushroom>
			<abalone>
				<model_params>
					<max_depth> 10 </max_depth>
					<min_sample_count> 2 </min_sample_count>
					<use_surrogate> 0 </use_surrogate>
					<max_categories> 16 </max_categories>
					<cv_folds> 0 </cv_folds>
					<is_pruned> 0 </is_pruned></model_params>
				<data_params>
					<LS> 3133 </LS>
					<resp_idx> 8 </resp_idx>
					<types> ord[1-8],cat[0] </types></data_params></abalone></dtree>
		<boost>
			<adult>
				<model_params>
					<type> REAL </type>
					<weak_count> 20 </weak_count>
					<weight_trim_rate> 0.95 </weight_trim_rate>
					<max_depth> 4 </max_depth>
					<use_surrogate> 1 </use_surrogate></model_params>
				<data_params>
					<LS> 22561 </LS>
					<resp_idx> 14 </resp_idx>
					<types> ord[0,2,4,10-12],cat[1,3,5-9,13,14] </types></data_params></adult></boost>
		<rtrees>
			<waveform>
				<model_params>
					<max_depth> 20 </max_depth>
					<min_sample_count> 2 </min_sample_count>
					<use_surrogate> 0 </use_surrogate>
					<max_categories> 3 </max_categories>
					<cv_folds> 0 </cv_folds>
					<is_pruned> 0 </is_pruned>
					<nactive_vars> 0 </nactive_vars>
					<max_trees_num> 100 </max_trees_num></model_params>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform>
			<abalone>
				<model_params>
					<max_depth> 20 </max_depth>
					<min_sample_count> 2 </min_sample_count>
					<use_surrogate> 0 </use_surrogate>
					<max_categories> 16 </max_categories>
					<cv_folds> 0 </cv_folds>
					<is_pruned> 0 </is_pruned>
					<nactive_vars> 0 </nactive_vars>
					<max_trees_num> 100 </max_trees_num></model_params>
				<data_params>
					<LS> 3133 </LS>
					<resp_idx> 8 </resp_idx>
					<types> ord[1-8],cat[0] </types></data_params></abalone></rtrees>
		<ertrees>
			<waveform>
				<model_params>
					<max_depth> 20 </max_depth>
					<min_sample_count> 2 </min_sample_count>
					<use_surrogate> 0 </use_surrogate>
					<max_categories> 3 </max_categories>
					<cv_folds> 0 </cv_folds>
					<is_pruned> 0 </is_pruned>
					<nactive_vars> 0 </nactive_vars>
					<max_trees_num> 100 </max_trees_num></model_params>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform>
			<abalone>
				<model_params>
					<max_depth> 20 </max_depth>
					<min_sample_count> 2 </min_sample_count>
					<use_surrogate> 0 </use_surrogate>
					<max_categories> 16 </max_categories>
					<cv_folds> 0 </cv_folds>
					<is_pruned> 0 </is_pruned>
					<nactive_vars> 0 </nactive_vars>
					<max_trees_num> 100 </max_trees_num></model_params>
				<data_params>
					<LS> 3133 </LS>
					<resp_idx> 8 </resp_idx>
                    <types> ord[1-8],cat[0] </types></data_params></abalone></ertrees>
		<svmsgd>
			<waveform>
				<model_params>
					<svmsgdType> ASGD </svmsgdType>
					<marginType> SOFT_MARGIN </marginType>
					<marginRegularization> 0.00001 </marginRegularization>
					<initialStepSize> 0.1 </initialStepSize>
					<stepDecreasingPower> 0.75 </stepDecreasingPower></model_params>
				<data_params>
					<LS> 300 </LS>
					<resp_idx> 21 </resp_idx>
					<types> ord[0-20],cat[21] </types></data_params></waveform></svmsgd></validation>
</mltest>
</opencv_storage>
