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ConfigurationBuilder.java @ 144

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[59]	1	package de.ugoe.cs.crosspare;
	2
[144]	3	import java.io.File;
[59]	4	import java.io.FileWriter;
	5	import java.io.IOException;
	6	import java.lang.reflect.InvocationTargetException;
	7	import java.security.InvalidParameterException;
	8
	9	public class ConfigurationBuilder {
	10
[144]	11	private static enum Dataset {
	12	MDP,
	13	MDP_EFFNORM,
	14	MDP_EFFLOGNORM,
	15	JURECZKO,
	16	FILTERJURECZKO,
	17	SELECTEDJURECZKO,
	18	JURECZKO_NUMERIC,
	19	JURECZKO_EFFNORM,
	20	JURECZKO_EFFLOGNORM,
	21	JURECZKO_EFFNORM_NUMERIC,
	22	JURECZKO_EFFLOGNORM_NUMERIC,
	23	JURECZKO_NUMERIC_DUPLICATE,
	24	JURECZKO_NUMERIC_WEIGHTS,
	25	AEEEM,
	26	AEEEM_LDHH,
	27	AEEEM_WCHU,
	28	AEEEM_LDHHWCHU,
	29	AEEEM_NUMERIC,
	30	AEEEM_LDHH_NUMERIC,
	31	AEEEM_WCHU_NUMERIC,
	32	AEEEM_LDHHWCHU_NUMERIC,
	33	AEEEM_LDHHWCHU_EFFNORM,
	34	AEEEM_LDHHWCHU_EFFLOGNORM,
	35	AEEEM_LDHHWCHU_EFFNORM_NUMERIC,
	36	AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC,
	37	AEEEM_LDHHWCHU_NUMERIC_DUPLICATE,
	38	AEEEM_LDHHWCHU_NUMERIC_WEIGHTS,
	39	RELINK,
	40	RELINK_EFFNORM,
	41	RELINK_EFFLOGNORM,
	42	NETGENE,
	43	NETGENE_NUMERIC,
	44	NETGENE_NUMERIC_DUPLICATE,
	45	NETGENE_NUMERIC_WEIGHTS,
	46	SMARTSHARK_ALL,
	47	SMARTSHARK_AST,
	48	SMARTSHARK_SM,
	49	SMARTSHARK_ALL_NUMERIC
	50	}
[133]	51
[59]	52	private static final String storageFolder = "config/";
	53
	54	public static void main(String[] args) {
	55	for( Dataset dataset : Dataset.values() ) {
[133]	56	// baselines
	57	writeFile("ALL", dataset);
	58	writeFile("CV", dataset);
	59	writeFile("Random", dataset);
	60	writeFile("Trivial", dataset);
	61	// publications
	62	writeFile("Koshgoftaar08", dataset);
	63	writeFile("Watanabe08", dataset);
	64	writeFile("Turhan09", dataset);
	65	writeFile("Zimmermann09", dataset);
	66	writeFile("CamargoCruz09", dataset);
	67	writeFile("Liu10", dataset);
	68	writeFile("Menzies11", dataset);
	69	writeFile("Ma12", dataset);
	70	writeFile("Peters12", dataset);
	71	writeFile("Uchigaki12", dataset);
	72	writeFile("Canfora13", dataset);
	73	writeFile("Peters13", dataset);
	74	writeFile("Herbold13", dataset);
	75	writeFile("ZHe13", dataset);
	76	writeFile("Nam13", dataset);
	77	writeFile("Panichella14", dataset);
	78	writeFile("Ryu14", dataset);
	79	writeFile("PHe15", dataset);
	80	writeFile("Peters15", dataset);
	81	writeFile("Kawata15", dataset);
	82	writeFile("YZhang15", dataset);
	83	writeFile("Amasaki15", dataset);
	84	writeFile("Ryu15", dataset);
	85	writeFile("Nam15", dataset);
[59]	86	}
	87	}
	88
	89	public static void writeFile(String approach, Dataset dataset) {
[144]	90	File file = new File(storageFolder + dataset.toString() + "/"+ dataset.toString() + "-" + approach + ".xml");
	91	file.getParentFile().mkdirs();
	92	try(FileWriter writer = new FileWriter(file);) {
[59]	93	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	94	writer.flush();
	95	}
	96	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	97	e.printStackTrace();
	98	}
[144]	99
	100	file = new File(storageFolder + "ALL/"+ dataset.toString() + "-" + approach + ".xml");
	101	file.getParentFile().mkdirs();
	102	try(FileWriter writer = new FileWriter(file);) {
	103	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	104	writer.flush();
	105	}
	106	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	107	e.printStackTrace();
	108	}
[59]	109	}
	110
	111	public static void preamble(StringBuilder configFile) {
	112	configFile.append("<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n");
	113	configFile.append("<config xmlns=\"experimentconfig\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:schemaLocation=\"experimentconfig experimentconfig.xsd\">\n");
	114	}
	115
	116	public static void postamble(StringBuilder configFile) {
[80]	117	configFile.append(" <storage name=\"MySQLResultStorage\" param=\"\" />\n");
[59]	118	configFile.append("</config>");
	119	}
	120
	121	public static void trainers(StringBuilder configFile) {
[133]	122	configFile.append(" <trainer name=\"WekaTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	123	configFile.append(" <trainer name=\"WekaTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	124	configFile.append(" <trainer name=\"WekaTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	125	configFile.append(" <trainer name=\"WekaTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	126	configFile.append(" <trainer name=\"WekaTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	127	configFile.append(" <trainer name=\"WekaTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	128	}
	129
	130	public static void trainersBagging(StringBuilder configFile) {
[133]	131	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	132	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	133	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	134	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	135	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	136	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	137	}
	138
	139	public static void trainersLocalWhere(StringBuilder configFile) {
[133]	140	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	141	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	142	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	143	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	144	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	145	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
	146	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"WHICH de.ugoe.cs.cpdp.wekaclassifier.WHICH\" />\n");
[59]	147	}
	148
	149	public static void trainersLASER(StringBuilder configFile) {
[133]	150	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	151	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	152	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	153	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	154	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	155	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	156	}
	157
	158	public static void dataset(StringBuilder configFile, Dataset dataset) {
	159	switch (dataset)
	160	{
	161	case MDP:
[80]	162	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
[59]	163	break;
[144]	164	case MDP_EFFNORM:
	165	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
	166	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	167	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"LOC_EXECUTABLE\"/>\n");
	168	break;
	169	case MDP_EFFLOGNORM:
	170	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
	171	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	172	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"LOC_EXECUTABLE\"/>\n");
	173	break;
[59]	174	case JURECZKO:
[80]	175	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
[59]	176	break;
[144]	177	case JURECZKO_NUMERIC:
	178	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	179	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	180	break;
[133]	181	case FILTERJURECZKO:
	182	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	183	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	184	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	185	break;
[144]	186	case SELECTEDJURECZKO:
	187	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/SELECTEDJURECZKO\" relative=\"false\"/>\n");
	188	break;
	189	case JURECZKO_EFFNORM:
	190	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	191	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	192	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	193	break;
	194	case JURECZKO_EFFLOGNORM:
	195	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	196	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	197	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	198	break;
	199	case JURECZKO_EFFNORM_NUMERIC:
	200	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	201	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	202	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	203	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	204	break;
	205	case JURECZKO_EFFLOGNORM_NUMERIC:
	206	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	207	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	208	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	209	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	210	break;
	211	case JURECZKO_NUMERIC_DUPLICATE:
	212	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	213	configFile.append(" <setwisepreprocessor name=\"CreateBugDuplicates\" param=\"\" />\n");
	214	break;
	215	case JURECZKO_NUMERIC_WEIGHTS:
	216	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	217	configFile.append(" <setwisepreprocessor name=\"WeightByNumBugs\" param=\"\" />\n");
	218	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	219	break;
[133]	220	case AEEEM:
	221	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM\" relative=\"false\"/>\n");
	222	break;
[143]	223	case AEEEM_LDHH:
	224	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHH\" relative=\"false\"/>\n");
	225	break;
	226	case AEEEM_LDHHWCHU:
	227	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\"/>\n");
	228	break;
	229	case AEEEM_WCHU:
	230	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_WCHU\" relative=\"false\"/>\n");
	231	break;
[144]	232	case AEEEM_NUMERIC:
	233	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM\" relative=\"false\" classtype=\"numeric\"/>\n");
	234	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	235	break;
	236	case AEEEM_LDHH_NUMERIC:
	237	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHH\" relative=\"false\" classtype=\"numeric\"/>\n");
	238	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	239	break;
	240	case AEEEM_LDHHWCHU_NUMERIC:
	241	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	242	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	243	break;
	244	case AEEEM_WCHU_NUMERIC:
	245	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_WCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	246	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	247	break;
	248	case AEEEM_LDHHWCHU_EFFNORM:
	249	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\"/>\n");
	250	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	251	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	252	break;
	253	case AEEEM_LDHHWCHU_EFFLOGNORM:
	254	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\"/>\n");
	255	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	256	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	257	break;
	258	case AEEEM_LDHHWCHU_EFFNORM_NUMERIC:
	259	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	260	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	261	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	262	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	263	break;
	264	case AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC:
	265	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	266	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	267	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	268	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	269	break;
	270	case AEEEM_LDHHWCHU_NUMERIC_DUPLICATE:
	271	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	272	configFile.append(" <setwisepreprocessor name=\"CreateBugDuplicates\" param=\"\" />\n");
	273	break;
	274	case AEEEM_LDHHWCHU_NUMERIC_WEIGHTS:
	275	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	276	configFile.append(" <setwisepreprocessor name=\"WeightByNumBugs\" param=\"\" />\n");
	277	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	278	break;
[133]	279	case RELINK:
	280	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	281	break;
[144]	282	case RELINK_EFFNORM:
	283	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	284	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	285	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"CountLineCodeExe\"/>\n");
	286	break;
	287	case RELINK_EFFLOGNORM:
	288	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	289	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	290	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"CountLineCodeExe\"/>\n");
	291	break;
[133]	292	case NETGENE:
	293	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\"/>\n");
	294	break;
[144]	295	case NETGENE_NUMERIC:
	296	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\" classtype=\"numeric\"/>\n");
	297	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
[133]	298	break;
[144]	299	case NETGENE_NUMERIC_DUPLICATE:
	300	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\" classtype=\"numeric\"/>\n");
	301	configFile.append(" <setwisepreprocessor name=\"CreateBugDuplicates\" param=\"\" />\n");
	302	break;
	303	case NETGENE_NUMERIC_WEIGHTS:
	304	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\" classtype=\"numeric\"/>\n");
	305	configFile.append(" <setwisepreprocessor name=\"WeightByNumBugs\" param=\"\" />\n");
	306	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	307	break;
[143]	308	case SMARTSHARK_ALL:
	309	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\"/>\n");
	310	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	311	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	312	break;
	313	case SMARTSHARK_AST:
	314	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\"/>\n");
	315	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	316	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	317	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"PDA LLOC PUA LOC McCC CLOC TNLM CLLC CCO TNPA NA AD NLPA NLS LDC NM TNPM LCOM5 WMC NOD RFC TNM NL NS NPA NOC CBO TNC TLLOC CI TNLG NLM NLG TNA DIT TCD TNLA NLE NG NLA TNLPA NOS CBOI NLPM LLDC CD TNG NPM CCL NOI NOP TLOC CLC CC DLOC NII TCLOC TNLS NOA TNLPM\"/>\n");
	318	break;
	319	case SMARTSHARK_SM:
	320	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\"/>\n");
	321	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	322	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	323	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"ReferenceType LambdaExpression Member TypeArgument ThrowStatement ArraySelector Declaration ClassCreator ForStatement SwitchStatement InnerClassCreator Literal TypeParameter VoidClassReference WhileStatement EnhancedForControl This Statement ForControl BinaryOperation MethodReference SuperMemberReference EnumBody FormalParameter EnumConstantDeclaration Expression PackageDeclaration VariableDeclarator AssertStatement Documented node_count DoStatement InterfaceDeclaration ReturnStatement Cast ExplicitConstructorInvocation EnumDeclaration SynchronizedStatement AnnotationMethod SwitchStatementCase MemberReference TypeDeclaration ArrayInitializer CatchClauseParameter CatchClause VariableDeclaration TryStatement Annotation TryResource MethodInvocation BasicType ElementArrayValue InferredFormalParameter IfStatement SuperConstructorInvocation BreakStatement AnnotationDeclaration FieldDeclaration Assignment ContinueStatement Import Primary BlockStatement ClassDeclaration TernaryExpression ClassReference CompilationUnit ConstantDeclaration LocalVariableDeclaration MethodDeclaration ConstructorDeclaration ElementValuePair ArrayCreator Invocation StatementExpression SuperMethodInvocation\"/>\n");
	324	break;
[144]	325	case SMARTSHARK_ALL_NUMERIC:
	326	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\" classtype=\"numeric\"/>\n");
	327	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	328	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	329	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	330	break;
[59]	331	default:
	332	throw new InvalidParameterException("Unknown data set: " + dataset.toString());
	333	}
[133]	334	configFile.append(" <versionfilter name=\"MinClassNumberFilter\" param=\"5\" />\n");
	335	configFile.append(" <resultspath path=\"benchmark/results-csv\"/>\n");
[59]	336	}
	337
[133]	338	public static String ALL(Dataset dataset) {
[59]	339	StringBuilder configFile = new StringBuilder();
	340	preamble(configFile);
	341	dataset(configFile, dataset);
[133]	342	trainers(configFile);
	343
	344	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	345
	346	postamble(configFile);
	347	return configFile.toString();
	348	}
	349
	350	public static String CV(Dataset dataset) {
	351	StringBuilder configFile = new StringBuilder();
	352	preamble(configFile);
	353	dataset(configFile, dataset);
	354	trainers(configFile);
	355
	356	configFile.append(" <eval name=\"CVWekaEvaluation\" param=\"\" />\n");
	357
	358	postamble(configFile);
	359	return configFile.toString();
	360	}
	361
	362	public static String Random(Dataset dataset) {
	363	StringBuilder configFile = new StringBuilder();
	364	preamble(configFile);
	365	dataset(configFile, dataset);
	366
	367	configFile.append(" <trainer name=\"WekaTraining\" param=\"RANDOM de.ugoe.cs.cpdp.wekaclassifier.RandomClass\" />\n");
	368	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	369	configFile.append(" <repetitions number=\"10\" />\n");
	370
	371	postamble(configFile);
	372	return configFile.toString();
	373	}
	374
	375	public static String Trivial(Dataset dataset) {
	376	StringBuilder configFile = new StringBuilder();
	377	preamble(configFile);
	378	dataset(configFile, dataset);
	379
	380	configFile.append(" <trainer name=\"WekaTraining\" param=\"FIX de.ugoe.cs.cpdp.wekaclassifier.FixClass -C 1\" />\n");
	381	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	382
	383	postamble(configFile);
	384	return configFile.toString();
	385	}
	386
	387	public static String Koshgoftaar08(Dataset dataset) {
	388	StringBuilder configFile = new StringBuilder();
	389	preamble(configFile);
	390	dataset(configFile, dataset);
[59]	391	trainersBagging(configFile);
	392
	393	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	394
	395	postamble(configFile);
	396	return configFile.toString();
	397	}
	398
[133]	399	public static String Watanabe08(Dataset dataset) {
[59]	400	StringBuilder configFile = new StringBuilder();
	401	preamble(configFile);
	402	dataset(configFile, dataset);
	403	trainers(configFile);
	404
	405	configFile.append(" <setwisepreprocessor name=\"AverageStandardization\" param=\"\" />\n");
	406	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	407
	408	postamble(configFile);
	409	return configFile.toString();
	410	}
	411
[133]	412	public static String Turhan09(Dataset dataset) {
[59]	413	StringBuilder configFile = new StringBuilder();
	414	preamble(configFile);
	415	dataset(configFile, dataset);
	416	trainers(configFile);
	417
	418	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	419	configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"10\" />\n");
	420	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	421
	422	postamble(configFile);
	423	return configFile.toString();
	424	}
	425
[133]	426	public static String Zimmermann09(Dataset dataset) {
[59]	427	StringBuilder configFile = new StringBuilder();
	428	preamble(configFile);
	429	dataset(configFile, dataset);
	430	trainers(configFile);
	431
[133]	432	configFile.append(" <setwiseselector name=\"DecisionTreeSelection\" param=\"max median stddev\" />\n");
	433	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	434
	435	postamble(configFile);
	436	return configFile.toString();
	437	}
	438
	439	public static String CamargoCruz09(Dataset dataset) {
	440	StringBuilder configFile = new StringBuilder();
	441	preamble(configFile);
	442	dataset(configFile, dataset);
	443	trainers(configFile);
	444
[59]	445	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	446	configFile.append(" <preprocessor name=\"MedianAsReference\" param=\"10\" />\n");
	447	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	448
	449	postamble(configFile);
	450	return configFile.toString();
	451	}
	452
[133]	453	public static String Liu10(Dataset dataset) {
	454	StringBuilder configFile = new StringBuilder();
	455	preamble(configFile);
	456	dataset(configFile, dataset);
	457
	458	configFile.append(" <setwisetrainer name=\"GPTraining\" param=\"numberRuns:1,errorType2Weight:15\" />");
	459	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	460	configFile.append(" <repetitions number=\"10\" />\n");
	461
	462	postamble(configFile);
	463	return configFile.toString();
	464	}
[59]	465
[133]	466	public static String Menzies11(Dataset dataset) {
[59]	467	StringBuilder configFile = new StringBuilder();
	468	preamble(configFile);
	469	dataset(configFile, dataset);
	470
	471	trainersLocalWhere(configFile);
	472	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	473	configFile.append(" <repetitions number=\"10\" />\n");
[59]	474
	475	postamble(configFile);
	476	return configFile.toString();
	477	}
	478
[133]	479	public static String Ma12(Dataset dataset) {
[59]	480	StringBuilder configFile = new StringBuilder();
	481	preamble(configFile);
	482	dataset(configFile, dataset);
	483	trainers(configFile);
	484
	485	configFile.append(" <preprocessor name=\"DataGravitation\" param=\"\" />\n");
	486	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	487
	488	postamble(configFile);
	489	return configFile.toString();
	490	}
	491
[133]	492	public static String Peters12(Dataset dataset) {
[59]	493	StringBuilder configFile = new StringBuilder();
	494	preamble(configFile);
	495	dataset(configFile, dataset);
	496	trainers(configFile);
	497
	498	configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
	499	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	500	configFile.append(" <repetitions number=\"10\" />\n");
[59]	501
	502	postamble(configFile);
	503	return configFile.toString();
	504	}
	505
[133]	506	public static String Uchigaki12(Dataset dataset) {
[59]	507	StringBuilder configFile = new StringBuilder();
	508	preamble(configFile);
	509	dataset(configFile, dataset);
	510
[80]	511	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
[133]	512	configFile.append(" <trainer name=\"WekaTraining\" param=\"LE de.ugoe.cs.cpdp.wekaclassifier.LogisticEnsemble\" />\n");
[59]	513	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	514
	515	postamble(configFile);
	516	return configFile.toString();
	517	}
	518
[133]	519	public static String Canfora13(Dataset dataset) {
[80]	520	StringBuilder configFile = new StringBuilder();
	521	preamble(configFile);
	522	dataset(configFile, dataset);
	523
	524	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
	525	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.7\" />\n");
	526	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	527	configFile.append(" <repetitions number=\"10\" />\n");
[80]	528
	529	postamble(configFile);
	530	return configFile.toString();
	531	}
[59]	532
[133]	533	public static String Peters13(Dataset dataset) {
[59]	534	StringBuilder configFile = new StringBuilder();
	535	preamble(configFile);
	536	dataset(configFile, dataset);
	537	trainers(configFile);
	538
	539	configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
[133]	540	configFile.append(" <pointwiseselector name=\"CLIFF\" param=\"0.40\" />");
[59]	541	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	542	configFile.append(" <repetitions number=\"10\" />\n");
[59]	543
	544	postamble(configFile);
	545	return configFile.toString();
	546	}
	547
[133]	548	public static String Herbold13(Dataset dataset) {
[59]	549	StringBuilder configFile = new StringBuilder();
	550	preamble(configFile);
	551	dataset(configFile, dataset);
	552	trainers(configFile);
	553
[133]	554	int numNeighbors;
	555	switch (dataset)
	556	{
	557	case AEEEM:
[143]	558	case AEEEM_LDHH:
[144]	559	case AEEEM_LDHHWCHU:
[143]	560	case AEEEM_WCHU:
[144]	561	case AEEEM_NUMERIC:
	562	case AEEEM_LDHH_NUMERIC:
	563	case AEEEM_LDHHWCHU_NUMERIC:
	564	case AEEEM_WCHU_NUMERIC:
	565	case AEEEM_LDHHWCHU_EFFNORM:
	566	case AEEEM_LDHHWCHU_EFFLOGNORM:
	567	case AEEEM_LDHHWCHU_EFFNORM_NUMERIC:
	568	case AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC:
	569	case AEEEM_LDHHWCHU_NUMERIC_DUPLICATE:
	570	case AEEEM_LDHHWCHU_NUMERIC_WEIGHTS:
[133]	571	numNeighbors = 2;
	572	break;
	573	case MDP:
[144]	574	case MDP_EFFNORM:
	575	case MDP_EFFLOGNORM:
[133]	576	numNeighbors = 5;
	577	break;
	578	case JURECZKO:
[144]	579	case JURECZKO_NUMERIC:
	580	case JURECZKO_EFFNORM:
	581	case JURECZKO_EFFLOGNORM:
	582	case JURECZKO_EFFNORM_NUMERIC:
	583	case JURECZKO_EFFLOGNORM_NUMERIC:
	584	case JURECZKO_NUMERIC_DUPLICATE:
	585	case JURECZKO_NUMERIC_WEIGHTS:
[133]	586	numNeighbors = 30;
	587	break;
	588	case FILTERJURECZKO:
	589	numNeighbors = 20;
	590	break;
	591	case RELINK:
[144]	592	case RELINK_EFFNORM:
	593	case RELINK_EFFLOGNORM:
[133]	594	numNeighbors = 1;
	595	break;
	596	case NETGENE:
[144]	597	case NETGENE_NUMERIC:
	598	case NETGENE_NUMERIC_DUPLICATE:
	599	case NETGENE_NUMERIC_WEIGHTS:
[133]	600	numNeighbors = 1;
	601	break;
	602	case SELECTEDJURECZKO:
	603	numNeighbors = 4;
	604	break;
[143]	605	case SMARTSHARK_ALL:
	606	case SMARTSHARK_AST:
	607	case SMARTSHARK_SM:
[144]	608	case SMARTSHARK_ALL_NUMERIC:
[143]	609	// TODO check num neighbors
[133]	610	default:
	611	numNeighbors = 10;
	612	break;
	613	}
	614
[59]	615	configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
[133]	616	configFile.append(" <setwiseselector name=\"SetWiseKNNSelection\" param=\""+ numNeighbors +"\" />\n");
[59]	617	configFile.append(" <postprocessor name=\"BiasedWeights\" param=\"0.5\" />\n");
	618	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	619
	620	postamble(configFile);
	621	return configFile.toString();
	622	}
	623
[133]	624	public static String ZHe13(Dataset dataset) {
[59]	625	StringBuilder configFile = new StringBuilder();
	626	preamble(configFile);
	627	dataset(configFile, dataset);
	628	trainersBagging(configFile);
	629
[133]	630	int numNeighbors;
	631	switch (dataset)
	632	{
	633	case AEEEM:
[143]	634	case AEEEM_LDHH:
	635	case AEEEM_LDHHWCHU:
	636	case AEEEM_WCHU:
[144]	637	case AEEEM_NUMERIC:
	638	case AEEEM_LDHH_NUMERIC:
	639	case AEEEM_LDHHWCHU_NUMERIC:
	640	case AEEEM_WCHU_NUMERIC:
	641	case AEEEM_LDHHWCHU_EFFNORM:
	642	case AEEEM_LDHHWCHU_EFFLOGNORM:
	643	case AEEEM_LDHHWCHU_EFFNORM_NUMERIC:
	644	case AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC:
[133]	645	numNeighbors = 1;
	646	break;
	647	case MDP:
[144]	648	case MDP_EFFNORM:
	649	case MDP_EFFLOGNORM:
[133]	650	numNeighbors = 4;
	651	break;
	652	case JURECZKO:
[144]	653	case JURECZKO_NUMERIC:
	654	case JURECZKO_EFFNORM:
	655	case JURECZKO_EFFLOGNORM:
	656	case JURECZKO_EFFNORM_NUMERIC:
	657	case JURECZKO_EFFLOGNORM_NUMERIC:
[133]	658	numNeighbors = 16;
	659	break;
	660	case FILTERJURECZKO:
	661	numNeighbors = 13;
	662	break;
	663	case RELINK:
[144]	664	case RELINK_EFFNORM:
	665	case RELINK_EFFLOGNORM:
[133]	666	numNeighbors = 1;
	667	break;
	668	case NETGENE:
[144]	669	case NETGENE_NUMERIC:
[133]	670	numNeighbors = 1;
	671	break;
	672	case SELECTEDJURECZKO:
	673	numNeighbors = 4;
	674	break;
[143]	675	case SMARTSHARK_ALL:
	676	case SMARTSHARK_AST:
	677	case SMARTSHARK_SM:
[144]	678	case SMARTSHARK_ALL_NUMERIC:
[143]	679	// TODO check num neighbors
[133]	680	default:
	681	numNeighbors = 10;
	682	break;
	683	}
	684
[59]	685	configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
[133]	686	configFile.append(" <setwiseselector name=\"SeparatabilitySelection\" param=\"" + numNeighbors + "\" />\n");
[59]	687	configFile.append(" <setwisepostprocessor name=\"Undersampling\" param=\"\" />\n");
	688	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	689	configFile.append(" <repetitions number=\"10\" />\n");
[59]	690
	691	postamble(configFile);
	692	return configFile.toString();
	693	}
	694
[133]	695	public static String Nam13(Dataset dataset) {
[59]	696	StringBuilder configFile = new StringBuilder();
	697	preamble(configFile);
	698	dataset(configFile, dataset);
	699	trainers(configFile);
	700
	701	configFile.append(" <preprocessor name=\"TCAPlusNormalization\" param=\"\" />\n");
	702	configFile.append(" <postprocessor name=\"TransferComponentAnalysis\" param=\"\" />\n");
	703	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	704
	705	postamble(configFile);
	706	return configFile.toString();
	707	}
	708
[133]	709	public static String Panichella14(Dataset dataset) {
[59]	710	StringBuilder configFile = new StringBuilder();
	711	preamble(configFile);
	712	dataset(configFile, dataset);
	713
[133]	714	configFile.append(" <trainer name=\"WekaTraining\" param=\"CODEP-LR de.ugoe.cs.cpdp.wekaclassifier.LogisticCODEP\" />\n");
	715	configFile.append(" <trainer name=\"WekaTraining\" param=\"CODEP-BN de.ugoe.cs.cpdp.wekaclassifier.BayesNetCODEP\" />\n");
[59]	716	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	717
	718	postamble(configFile);
	719	return configFile.toString();
	720	}
	721
[133]	722	public static String Ryu14(Dataset dataset) {
[80]	723	StringBuilder configFile = new StringBuilder();
	724	preamble(configFile);
	725	dataset(configFile, dataset);
	726
	727	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
	728	configFile.append(" <testawaretrainer name=\"WekaTestAwareTraining\" param=\"VCBSVM de.ugoe.cs.cpdp.wekaclassifier.VCBSVM -L 0.1 -B 10\" />\n");
	729	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	730	configFile.append(" <repetitions number=\"10\" />\n");
[80]	731
	732	postamble(configFile);
	733	return configFile.toString();
	734	}
[59]	735
[133]	736	public static String PHe15(Dataset dataset) {
[59]	737	StringBuilder configFile = new StringBuilder();
	738	preamble(configFile);
	739	dataset(configFile, dataset);
	740	trainers(configFile);
	741
	742	configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	743	configFile.append(" <setwisepreprocessor name=\"TopMetricFilter\" param=\"\" />\n");
	744	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	745
	746	postamble(configFile);
	747	return configFile.toString();
	748	}
	749
[133]	750	public static String Peters15(Dataset dataset) {
	751	StringBuilder configFile = new StringBuilder();
	752	preamble(configFile);
	753	dataset(configFile, dataset);
	754	trainers(configFile);
	755
	756	configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	757	configFile.append(" <setwiseselector name=\"LACE2\" param=\"0.4\" />\n");
	758	configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"1\" />\n");
	759	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	760	configFile.append(" <repetitions number=\"10\" />\n");
	761
	762	postamble(configFile);
	763	return configFile.toString();
	764	}
[59]	765
[133]	766	public static String Kawata15(Dataset dataset) {
[59]	767	StringBuilder configFile = new StringBuilder();
	768	preamble(configFile);
	769	dataset(configFile, dataset);
	770	trainers(configFile);
	771
	772	configFile.append(" <pointwiseselector name=\"DBSCANFilter\" param=\"\" />\n");
	773	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	774
	775	postamble(configFile);
	776	return configFile.toString();
	777	}
	778
[133]	779	public static String YZhang15(Dataset dataset) {
[59]	780	StringBuilder configFile = new StringBuilder();
	781	preamble(configFile);
	782	dataset(configFile, dataset);
	783
[133]	784	configFile.append(" <trainer name=\"WekaTraining\" param=\"AVGVOTE weka.classifiers.meta.Vote -S 1 -B "weka.classifiers.trees.ADTree" -B "de.ugoe.cs.cpdp.wekaclassifier.DecisionTableWrapper" -B "de.ugoe.cs.cpdp.wekaclassifier.BayesNetWrapper" -B "weka.classifiers.functions.MultilayerPerceptron" -B "weka.classifiers.functions.RBFNetwork" -R AVG\" />\n");
	785	configFile.append(" <trainer name=\"WekaTraining\" param=\"MAXVOTE weka.classifiers.meta.Vote -S 1 -B "weka.classifiers.trees.ADTree" -B "de.ugoe.cs.cpdp.wekaclassifier.DecisionTableWrapper" -B "de.ugoe.cs.cpdp.wekaclassifier.BayesNetWrapper" -B "weka.classifiers.functions.MultilayerPerceptron" -B "weka.classifiers.functions.RBFNetwork" -R MAX\" />\n");
	786	configFile.append(" <trainer name=\"WekaTraining\" param=\"BAG-DT weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
	787	configFile.append(" <trainer name=\"WekaTraining\" param=\"BAG-NB weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
	788	configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOST-DT weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
	789	configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOST-NB weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
[59]	790	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	791
	792	postamble(configFile);
	793	return configFile.toString();
	794	}
	795
[133]	796	public static String Amasaki15(Dataset dataset) {
[59]	797	StringBuilder configFile = new StringBuilder();
	798	preamble(configFile);
	799	dataset(configFile, dataset);
	800	trainers(configFile);
	801
	802	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	803	configFile.append(" <preprocessor name=\"SynonymAttributePruning\" param=\"\" />\n");
	804	configFile.append(" <pointwiseselector name=\"SynonymOutlierRemoval\" param=\"\" />");
	805	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	806
	807	postamble(configFile);
	808	return configFile.toString();
	809	}
	810
[133]	811	public static String Ryu15(Dataset dataset) {
[59]	812	StringBuilder configFile = new StringBuilder();
	813	preamble(configFile);
	814	dataset(configFile, dataset);
	815	trainersLASER(configFile);
	816
	817	configFile.append(" <pointwiseselector name=\"MahalanobisOutlierRemoval\" param=\"\" />\n");
	818	configFile.append(" <pointwiseselector name=\"NeighborhoodFilter\" param=\"\" />\n");
	819	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	820
	821	postamble(configFile);
	822	return configFile.toString();
	823	}
	824
[133]	825	public static String Nam15(Dataset dataset) {
[59]	826	StringBuilder configFile = new StringBuilder();
	827	preamble(configFile);
	828	dataset(configFile, dataset);
	829	trainers(configFile);
	830
	831	configFile.append(" <preprocessor name=\"CLAMIProcessor\" param=\"\" />\n");
	832	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	833
	834	postamble(configFile);
	835	return configFile.toString();
	836	}
	837	}

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