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ConfigurationBuilder.java @ 146

Last change on this file since 146 was 146, checked in by sherbold, 7 years ago

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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
[145]	54	private static final String HPCConfigFolder = "../cpdp-experiments/HPC/benchmark/";
	55
[59]	56	public static void main(String[] args) {
	57	for( Dataset dataset : Dataset.values() ) {
[133]	58	// baselines
	59	writeFile("ALL", dataset);
	60	writeFile("CV", dataset);
	61	writeFile("Random", dataset);
	62	writeFile("Trivial", dataset);
	63	// publications
	64	writeFile("Koshgoftaar08", dataset);
	65	writeFile("Watanabe08", dataset);
	66	writeFile("Turhan09", dataset);
	67	writeFile("Zimmermann09", dataset);
	68	writeFile("CamargoCruz09", dataset);
	69	writeFile("Liu10", dataset);
	70	writeFile("Menzies11", dataset);
	71	writeFile("Ma12", dataset);
	72	writeFile("Peters12", dataset);
	73	writeFile("Uchigaki12", dataset);
	74	writeFile("Canfora13", dataset);
	75	writeFile("Peters13", dataset);
	76	writeFile("Herbold13", dataset);
	77	writeFile("ZHe13", dataset);
	78	writeFile("Nam13", dataset);
	79	writeFile("Panichella14", dataset);
	80	writeFile("Ryu14", dataset);
	81	writeFile("PHe15", dataset);
	82	writeFile("Peters15", dataset);
	83	writeFile("Kawata15", dataset);
	84	writeFile("YZhang15", dataset);
	85	writeFile("Amasaki15", dataset);
	86	writeFile("Ryu15", dataset);
	87	writeFile("Nam15", dataset);
[145]	88	writeFile("Tantithamthavorn16", dataset);
	89	writeFile("Hosseini16", dataset);
	90	writeFile("FZhang16", dataset);
[59]	91	}
	92	}
	93
	94	public static void writeFile(String approach, Dataset dataset) {
[144]	95	File file = new File(storageFolder + dataset.toString() + "/"+ dataset.toString() + "-" + approach + ".xml");
	96	file.getParentFile().mkdirs();
	97	try(FileWriter writer = new FileWriter(file);) {
[59]	98	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	99	writer.flush();
	100	}
	101	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	102	e.printStackTrace();
	103	}
[144]	104
	105	file = new File(storageFolder + "ALL/"+ dataset.toString() + "-" + approach + ".xml");
	106	file.getParentFile().mkdirs();
	107	try(FileWriter writer = new FileWriter(file);) {
	108	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	109	writer.flush();
	110	}
	111	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	112	e.printStackTrace();
	113	}
[145]	114
	115	if( approach.equals("Nam13") && (dataset.toString().startsWith("JUR") \|\| dataset.toString().startsWith("NET") \|\| dataset.toString().startsWith("MDP"))) {
	116	file = new File(HPCConfigFolder + "config-infeasible/"+ dataset.toString() + "-" + approach + ".xml");
	117	file.getParentFile().mkdirs();
	118	try(FileWriter writer = new FileWriter(file);) {
	119	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	120	writer.flush();
	121	}
	122	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	123	e.printStackTrace();
	124	}
	125	}
	126	else if( dataset==Dataset.AEEEM_LDHHWCHU \|\| dataset==Dataset.JURECZKO \|\| dataset==Dataset.NETGENE \|\| dataset==Dataset.RELINK \|\| dataset==Dataset.MDP ) {
	127	file = new File(HPCConfigFolder + "config/"+ dataset.toString() + "-" + approach + ".xml");
	128	file.getParentFile().mkdirs();
	129	try(FileWriter writer = new FileWriter(file);) {
	130	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	131	writer.flush();
	132	}
	133	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	134	e.printStackTrace();
	135	}
	136	}
	137	else if( dataset==Dataset.AEEEM_LDHHWCHU_NUMERIC_DUPLICATE \|\| dataset==Dataset.JURECZKO_NUMERIC_DUPLICATE \|\| dataset==Dataset.NETGENE_NUMERIC_DUPLICATE ) {
	138	file = new File(HPCConfigFolder + "config-duplicates/"+ dataset.toString() + "-" + approach + ".xml");
	139	file.getParentFile().mkdirs();
	140	try(FileWriter writer = new FileWriter(file);) {
	141	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	142	writer.flush();
	143	}
	144	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	145	e.printStackTrace();
	146	}
	147	}
	148	else if( dataset==Dataset.AEEEM_LDHHWCHU_NUMERIC \|\| dataset==Dataset.JURECZKO_NUMERIC \|\| dataset==Dataset.NETGENE_NUMERIC ) {
	149	file = new File(HPCConfigFolder + "config-numeric/"+ dataset.toString() + "-" + approach + ".xml");
	150	file.getParentFile().mkdirs();
	151	try(FileWriter writer = new FileWriter(file);) {
	152	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	153	writer.flush();
	154	}
	155	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	156	e.printStackTrace();
	157	}
	158	}
	159	else if( dataset==Dataset.AEEEM_LDHHWCHU_NUMERIC_WEIGHTS \|\| dataset==Dataset.JURECZKO_NUMERIC_WEIGHTS \|\| dataset==Dataset.NETGENE_NUMERIC_WEIGHTS ) {
	160	file = new File(HPCConfigFolder + "config-weights/"+ dataset.toString() + "-" + approach + ".xml");
	161	file.getParentFile().mkdirs();
	162	try(FileWriter writer = new FileWriter(file);) {
	163	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	164	writer.flush();
	165	}
	166	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	167	e.printStackTrace();
	168	}
	169	}
	170	else if( dataset==Dataset.AEEEM_LDHHWCHU_EFFNORM_NUMERIC \|\| dataset==Dataset.JURECZKO_EFFNORM_NUMERIC \|\| dataset==Dataset.RELINK_EFFNORM \|\| dataset==Dataset.MDP_EFFNORM ) {
	171	file = new File(HPCConfigFolder + "config-effnorm/"+ dataset.toString() + "-" + approach + ".xml");
	172	file.getParentFile().mkdirs();
	173	try(FileWriter writer = new FileWriter(file);) {
	174	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	175	writer.flush();
	176	}
	177	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	178	e.printStackTrace();
	179	}
	180	}
[59]	181	}
	182
	183	public static void preamble(StringBuilder configFile) {
	184	configFile.append("<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n");
	185	configFile.append("<config xmlns=\"experimentconfig\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:schemaLocation=\"experimentconfig experimentconfig.xsd\">\n");
	186	}
	187
	188	public static void postamble(StringBuilder configFile) {
[80]	189	configFile.append(" <storage name=\"MySQLResultStorage\" param=\"\" />\n");
[59]	190	configFile.append("</config>");
	191	}
	192
	193	public static void trainers(StringBuilder configFile) {
[133]	194	configFile.append(" <trainer name=\"WekaTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	195	configFile.append(" <trainer name=\"WekaTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	196	configFile.append(" <trainer name=\"WekaTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	197	configFile.append(" <trainer name=\"WekaTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	198	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");
	199	configFile.append(" <trainer name=\"WekaTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	200	}
	201
	202	public static void trainersBagging(StringBuilder configFile) {
[133]	203	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	204	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	205	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	206	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	207	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");
	208	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	209	}
	210
	211	public static void trainersLocalWhere(StringBuilder configFile) {
[133]	212	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	213	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	214	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	215	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	216	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");
	217	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
	218	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"WHICH de.ugoe.cs.cpdp.wekaclassifier.WHICH\" />\n");
[59]	219	}
	220
	221	public static void trainersLASER(StringBuilder configFile) {
[133]	222	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	223	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	224	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	225	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	226	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");
	227	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	228	}
	229
	230	public static void dataset(StringBuilder configFile, Dataset dataset) {
	231	switch (dataset)
	232	{
	233	case MDP:
[80]	234	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
[59]	235	break;
[144]	236	case MDP_EFFNORM:
	237	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
	238	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	239	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"LOC_EXECUTABLE\"/>\n");
	240	break;
	241	case MDP_EFFLOGNORM:
	242	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
	243	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	244	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"LOC_EXECUTABLE\"/>\n");
	245	break;
[59]	246	case JURECZKO:
[80]	247	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
[59]	248	break;
[144]	249	case JURECZKO_NUMERIC:
	250	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	251	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	252	break;
[133]	253	case FILTERJURECZKO:
	254	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	255	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	256	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	257	break;
[144]	258	case SELECTEDJURECZKO:
	259	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/SELECTEDJURECZKO\" relative=\"false\"/>\n");
	260	break;
	261	case JURECZKO_EFFNORM:
	262	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	263	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	264	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	265	break;
	266	case JURECZKO_EFFLOGNORM:
	267	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	268	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	269	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	270	break;
	271	case JURECZKO_EFFNORM_NUMERIC:
	272	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	273	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	274	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	275	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	276	break;
	277	case JURECZKO_EFFLOGNORM_NUMERIC:
	278	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	279	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	280	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	281	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"loc\"/>\n");
	282	break;
	283	case JURECZKO_NUMERIC_DUPLICATE:
	284	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	285	configFile.append(" <setwisepreprocessor name=\"CreateBugDuplicates\" param=\"\" />\n");
	286	break;
	287	case JURECZKO_NUMERIC_WEIGHTS:
	288	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\" classtype=\"numeric\"/>\n");
	289	configFile.append(" <setwisepreprocessor name=\"WeightByNumBugs\" param=\"\" />\n");
	290	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	291	break;
[133]	292	case AEEEM:
	293	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM\" relative=\"false\"/>\n");
	294	break;
[143]	295	case AEEEM_LDHH:
	296	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHH\" relative=\"false\"/>\n");
	297	break;
	298	case AEEEM_LDHHWCHU:
	299	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\"/>\n");
	300	break;
	301	case AEEEM_WCHU:
	302	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_WCHU\" relative=\"false\"/>\n");
	303	break;
[144]	304	case AEEEM_NUMERIC:
	305	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM\" relative=\"false\" classtype=\"numeric\"/>\n");
	306	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	307	break;
	308	case AEEEM_LDHH_NUMERIC:
	309	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHH\" relative=\"false\" classtype=\"numeric\"/>\n");
	310	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	311	break;
	312	case AEEEM_LDHHWCHU_NUMERIC:
	313	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	314	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	315	break;
	316	case AEEEM_WCHU_NUMERIC:
	317	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_WCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	318	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	319	break;
	320	case AEEEM_LDHHWCHU_EFFNORM:
	321	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\"/>\n");
	322	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	323	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	324	break;
	325	case AEEEM_LDHHWCHU_EFFLOGNORM:
	326	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\"/>\n");
	327	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	328	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	329	break;
	330	case AEEEM_LDHHWCHU_EFFNORM_NUMERIC:
	331	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	332	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	333	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	334	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	335	break;
	336	case AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC:
	337	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	338	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	339	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	340	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"numberOfLinesOfCode\"/>\n");
	341	break;
	342	case AEEEM_LDHHWCHU_NUMERIC_DUPLICATE:
	343	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	344	configFile.append(" <setwisepreprocessor name=\"CreateBugDuplicates\" param=\"\" />\n");
	345	break;
	346	case AEEEM_LDHHWCHU_NUMERIC_WEIGHTS:
	347	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM_LDHHWCHU\" relative=\"false\" classtype=\"numeric\"/>\n");
	348	configFile.append(" <setwisepreprocessor name=\"WeightByNumBugs\" param=\"\" />\n");
	349	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	350	break;
[133]	351	case RELINK:
	352	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	353	break;
[144]	354	case RELINK_EFFNORM:
	355	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	356	configFile.append(" <setwisepreprocessor name=\"NormalizeByEffort\" param=\"\"/>\n");
	357	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"CountLineCodeExe\"/>\n");
	358	break;
	359	case RELINK_EFFLOGNORM:
	360	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	361	configFile.append(" <setwisepreprocessor name=\"NormalizeByLogEffort\" param=\"\"/>\n");
	362	configFile.append(" <setwisepreprocessor name=\"AttributeRemoval\" param=\"CountLineCodeExe\"/>\n");
	363	break;
[133]	364	case NETGENE:
	365	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\"/>\n");
	366	break;
[144]	367	case NETGENE_NUMERIC:
	368	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\" classtype=\"numeric\"/>\n");
	369	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
[133]	370	break;
[144]	371	case NETGENE_NUMERIC_DUPLICATE:
	372	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\" classtype=\"numeric\"/>\n");
	373	configFile.append(" <setwisepreprocessor name=\"CreateBugDuplicates\" param=\"\" />\n");
	374	break;
	375	case NETGENE_NUMERIC_WEIGHTS:
	376	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\" classtype=\"numeric\"/>\n");
	377	configFile.append(" <setwisepreprocessor name=\"WeightByNumBugs\" param=\"\" />\n");
	378	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	379	break;
[143]	380	case SMARTSHARK_ALL:
	381	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\"/>\n");
	382	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	383	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	384	break;
	385	case SMARTSHARK_AST:
	386	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\"/>\n");
	387	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	388	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	389	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");
	390	break;
	391	case SMARTSHARK_SM:
	392	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\"/>\n");
	393	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	394	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	395	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");
	396	break;
[144]	397	case SMARTSHARK_ALL_NUMERIC:
	398	configFile.append(" <loader name=\"JsonFolderLoader\" datalocation=\"exp-smartshark/data\" relative=\"false\" classtype=\"numeric\"/>\n");
	399	configFile.append(" <setwisepreprocessor name=\"MakeClassBinary\" param=\"\" />\n");
	400	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	401	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	402	break;
[59]	403	default:
	404	throw new InvalidParameterException("Unknown data set: " + dataset.toString());
	405	}
[133]	406	configFile.append(" <versionfilter name=\"MinClassNumberFilter\" param=\"5\" />\n");
	407	configFile.append(" <resultspath path=\"benchmark/results-csv\"/>\n");
[59]	408	}
	409
[133]	410	public static String ALL(Dataset dataset) {
[59]	411	StringBuilder configFile = new StringBuilder();
	412	preamble(configFile);
	413	dataset(configFile, dataset);
[133]	414	trainers(configFile);
	415
	416	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	417
	418	postamble(configFile);
	419	return configFile.toString();
	420	}
	421
	422	public static String CV(Dataset dataset) {
	423	StringBuilder configFile = new StringBuilder();
	424	preamble(configFile);
	425	dataset(configFile, dataset);
	426	trainers(configFile);
	427
	428	configFile.append(" <eval name=\"CVWekaEvaluation\" param=\"\" />\n");
[145]	429	configFile.append(" <executionStrategy name=\"CrossValidationExperiment\" param=\"\" />\n");
	430	configFile.append(" <repetitions number=\"10\" />\n");
[133]	431
	432	postamble(configFile);
	433	return configFile.toString();
	434	}
	435
	436	public static String Random(Dataset dataset) {
	437	StringBuilder configFile = new StringBuilder();
	438	preamble(configFile);
	439	dataset(configFile, dataset);
	440
	441	configFile.append(" <trainer name=\"WekaTraining\" param=\"RANDOM de.ugoe.cs.cpdp.wekaclassifier.RandomClass\" />\n");
	442	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	443	configFile.append(" <repetitions number=\"10\" />\n");
	444
	445	postamble(configFile);
	446	return configFile.toString();
	447	}
	448
	449	public static String Trivial(Dataset dataset) {
	450	StringBuilder configFile = new StringBuilder();
	451	preamble(configFile);
	452	dataset(configFile, dataset);
	453
	454	configFile.append(" <trainer name=\"WekaTraining\" param=\"FIX de.ugoe.cs.cpdp.wekaclassifier.FixClass -C 1\" />\n");
	455	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	456
	457	postamble(configFile);
	458	return configFile.toString();
	459	}
	460
	461	public static String Koshgoftaar08(Dataset dataset) {
	462	StringBuilder configFile = new StringBuilder();
	463	preamble(configFile);
	464	dataset(configFile, dataset);
[59]	465	trainersBagging(configFile);
	466
	467	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	468
	469	postamble(configFile);
	470	return configFile.toString();
	471	}
	472
[133]	473	public static String Watanabe08(Dataset dataset) {
[59]	474	StringBuilder configFile = new StringBuilder();
	475	preamble(configFile);
	476	dataset(configFile, dataset);
	477	trainers(configFile);
	478
	479	configFile.append(" <setwisepreprocessor name=\"AverageStandardization\" param=\"\" />\n");
	480	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	481
	482	postamble(configFile);
	483	return configFile.toString();
	484	}
	485
[133]	486	public static String Turhan09(Dataset dataset) {
[59]	487	StringBuilder configFile = new StringBuilder();
	488	preamble(configFile);
	489	dataset(configFile, dataset);
	490	trainers(configFile);
	491
	492	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	493	configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"10\" />\n");
	494	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	495
	496	postamble(configFile);
	497	return configFile.toString();
	498	}
	499
[133]	500	public static String Zimmermann09(Dataset dataset) {
[59]	501	StringBuilder configFile = new StringBuilder();
	502	preamble(configFile);
	503	dataset(configFile, dataset);
	504	trainers(configFile);
	505
[133]	506	configFile.append(" <setwiseselector name=\"DecisionTreeSelection\" param=\"max median stddev\" />\n");
	507	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	508
	509	postamble(configFile);
	510	return configFile.toString();
	511	}
	512
	513	public static String CamargoCruz09(Dataset dataset) {
	514	StringBuilder configFile = new StringBuilder();
	515	preamble(configFile);
	516	dataset(configFile, dataset);
	517	trainers(configFile);
	518
[59]	519	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	520	configFile.append(" <preprocessor name=\"MedianAsReference\" param=\"10\" />\n");
	521	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	522
	523	postamble(configFile);
	524	return configFile.toString();
	525	}
	526
[133]	527	public static String Liu10(Dataset dataset) {
	528	StringBuilder configFile = new StringBuilder();
	529	preamble(configFile);
	530	dataset(configFile, dataset);
	531
[146]	532	configFile.append(" <setwisetrainer name=\"GP\" param=\"numberRuns:1,errorType2Weight:15\" />");
[133]	533	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	534	configFile.append(" <repetitions number=\"10\" />\n");
	535
	536	postamble(configFile);
	537	return configFile.toString();
	538	}
[59]	539
[133]	540	public static String Menzies11(Dataset dataset) {
[59]	541	StringBuilder configFile = new StringBuilder();
	542	preamble(configFile);
	543	dataset(configFile, dataset);
	544
	545	trainersLocalWhere(configFile);
	546	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	547	configFile.append(" <repetitions number=\"10\" />\n");
[59]	548
	549	postamble(configFile);
	550	return configFile.toString();
	551	}
	552
[133]	553	public static String Ma12(Dataset dataset) {
[59]	554	StringBuilder configFile = new StringBuilder();
	555	preamble(configFile);
	556	dataset(configFile, dataset);
	557	trainers(configFile);
	558
	559	configFile.append(" <preprocessor name=\"DataGravitation\" param=\"\" />\n");
	560	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	561
	562	postamble(configFile);
	563	return configFile.toString();
	564	}
	565
[133]	566	public static String Peters12(Dataset dataset) {
[59]	567	StringBuilder configFile = new StringBuilder();
	568	preamble(configFile);
	569	dataset(configFile, dataset);
	570	trainers(configFile);
	571
	572	configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
	573	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	574	configFile.append(" <repetitions number=\"10\" />\n");
[59]	575
	576	postamble(configFile);
	577	return configFile.toString();
	578	}
	579
[133]	580	public static String Uchigaki12(Dataset dataset) {
[59]	581	StringBuilder configFile = new StringBuilder();
	582	preamble(configFile);
	583	dataset(configFile, dataset);
	584
[80]	585	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
[133]	586	configFile.append(" <trainer name=\"WekaTraining\" param=\"LE de.ugoe.cs.cpdp.wekaclassifier.LogisticEnsemble\" />\n");
[59]	587	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	588
	589	postamble(configFile);
	590	return configFile.toString();
	591	}
	592
[133]	593	public static String Canfora13(Dataset dataset) {
[80]	594	StringBuilder configFile = new StringBuilder();
	595	preamble(configFile);
	596	dataset(configFile, dataset);
	597
	598	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
[145]	599	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP100 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 1.0\" />\n");
	600	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP90 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.9\" />\n");
	601	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP80 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.8\" />\n");
	602	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP70 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.7\" />\n");
	603	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP60 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.6\" />\n");
	604	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP50 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.5\" />\n");
	605	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP40 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.4\" />\n");
	606	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP30 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.3\" />\n");
	607	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP20 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.2\" />\n");
	608	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP10 de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.1\" />\n");
[80]	609	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	610	configFile.append(" <repetitions number=\"10\" />\n");
[80]	611
	612	postamble(configFile);
	613	return configFile.toString();
	614	}
[59]	615
[133]	616	public static String Peters13(Dataset dataset) {
[59]	617	StringBuilder configFile = new StringBuilder();
	618	preamble(configFile);
	619	dataset(configFile, dataset);
	620	trainers(configFile);
	621
	622	configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
[133]	623	configFile.append(" <pointwiseselector name=\"CLIFF\" param=\"0.40\" />");
[59]	624	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	625	configFile.append(" <repetitions number=\"10\" />\n");
[59]	626
	627	postamble(configFile);
	628	return configFile.toString();
	629	}
	630
[133]	631	public static String Herbold13(Dataset dataset) {
[59]	632	StringBuilder configFile = new StringBuilder();
	633	preamble(configFile);
	634	dataset(configFile, dataset);
	635	trainers(configFile);
	636
[133]	637	int numNeighbors;
	638	switch (dataset)
	639	{
	640	case AEEEM:
[143]	641	case AEEEM_LDHH:
[144]	642	case AEEEM_LDHHWCHU:
[143]	643	case AEEEM_WCHU:
[144]	644	case AEEEM_NUMERIC:
	645	case AEEEM_LDHH_NUMERIC:
	646	case AEEEM_LDHHWCHU_NUMERIC:
	647	case AEEEM_WCHU_NUMERIC:
	648	case AEEEM_LDHHWCHU_EFFNORM:
	649	case AEEEM_LDHHWCHU_EFFLOGNORM:
	650	case AEEEM_LDHHWCHU_EFFNORM_NUMERIC:
	651	case AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC:
	652	case AEEEM_LDHHWCHU_NUMERIC_DUPLICATE:
	653	case AEEEM_LDHHWCHU_NUMERIC_WEIGHTS:
[133]	654	numNeighbors = 2;
	655	break;
	656	case MDP:
[144]	657	case MDP_EFFNORM:
	658	case MDP_EFFLOGNORM:
[133]	659	numNeighbors = 5;
	660	break;
	661	case JURECZKO:
[144]	662	case JURECZKO_NUMERIC:
	663	case JURECZKO_EFFNORM:
	664	case JURECZKO_EFFLOGNORM:
	665	case JURECZKO_EFFNORM_NUMERIC:
	666	case JURECZKO_EFFLOGNORM_NUMERIC:
	667	case JURECZKO_NUMERIC_DUPLICATE:
	668	case JURECZKO_NUMERIC_WEIGHTS:
[133]	669	numNeighbors = 30;
	670	break;
	671	case FILTERJURECZKO:
	672	numNeighbors = 20;
	673	break;
	674	case RELINK:
[144]	675	case RELINK_EFFNORM:
	676	case RELINK_EFFLOGNORM:
[133]	677	numNeighbors = 1;
	678	break;
	679	case NETGENE:
[144]	680	case NETGENE_NUMERIC:
	681	case NETGENE_NUMERIC_DUPLICATE:
	682	case NETGENE_NUMERIC_WEIGHTS:
[133]	683	numNeighbors = 1;
	684	break;
	685	case SELECTEDJURECZKO:
	686	numNeighbors = 4;
	687	break;
[143]	688	case SMARTSHARK_ALL:
	689	case SMARTSHARK_AST:
	690	case SMARTSHARK_SM:
[144]	691	case SMARTSHARK_ALL_NUMERIC:
[143]	692	// TODO check num neighbors
[133]	693	default:
	694	numNeighbors = 10;
	695	break;
	696	}
	697
[59]	698	configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
[133]	699	configFile.append(" <setwiseselector name=\"SetWiseKNNSelection\" param=\""+ numNeighbors +"\" />\n");
[59]	700	configFile.append(" <postprocessor name=\"BiasedWeights\" param=\"0.5\" />\n");
	701	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	702
	703	postamble(configFile);
	704	return configFile.toString();
	705	}
	706
[133]	707	public static String ZHe13(Dataset dataset) {
[59]	708	StringBuilder configFile = new StringBuilder();
	709	preamble(configFile);
	710	dataset(configFile, dataset);
	711	trainersBagging(configFile);
	712
[133]	713	int numNeighbors;
	714	switch (dataset)
	715	{
	716	case AEEEM:
[143]	717	case AEEEM_LDHH:
	718	case AEEEM_LDHHWCHU:
	719	case AEEEM_WCHU:
[144]	720	case AEEEM_NUMERIC:
	721	case AEEEM_LDHH_NUMERIC:
	722	case AEEEM_LDHHWCHU_NUMERIC:
	723	case AEEEM_WCHU_NUMERIC:
	724	case AEEEM_LDHHWCHU_EFFNORM:
	725	case AEEEM_LDHHWCHU_EFFLOGNORM:
	726	case AEEEM_LDHHWCHU_EFFNORM_NUMERIC:
	727	case AEEEM_LDHHWCHU_EFFLOGNORM_NUMERIC:
[145]	728	case AEEEM_LDHHWCHU_NUMERIC_DUPLICATE:
	729	case AEEEM_LDHHWCHU_NUMERIC_WEIGHTS:
[133]	730	numNeighbors = 1;
	731	break;
	732	case MDP:
[144]	733	case MDP_EFFNORM:
	734	case MDP_EFFLOGNORM:
[133]	735	numNeighbors = 4;
	736	break;
	737	case JURECZKO:
[144]	738	case JURECZKO_NUMERIC:
[145]	739	case JURECZKO_NUMERIC_DUPLICATE:
	740	case JURECZKO_NUMERIC_WEIGHTS:
[144]	741	case JURECZKO_EFFNORM:
	742	case JURECZKO_EFFLOGNORM:
	743	case JURECZKO_EFFNORM_NUMERIC:
	744	case JURECZKO_EFFLOGNORM_NUMERIC:
[133]	745	numNeighbors = 16;
	746	break;
	747	case FILTERJURECZKO:
	748	numNeighbors = 13;
	749	break;
	750	case RELINK:
[144]	751	case RELINK_EFFNORM:
	752	case RELINK_EFFLOGNORM:
[133]	753	numNeighbors = 1;
	754	break;
	755	case NETGENE:
[144]	756	case NETGENE_NUMERIC:
[145]	757	case NETGENE_NUMERIC_DUPLICATE:
	758	case NETGENE_NUMERIC_WEIGHTS:
[133]	759	numNeighbors = 1;
	760	break;
	761	case SELECTEDJURECZKO:
	762	numNeighbors = 4;
	763	break;
[143]	764	case SMARTSHARK_ALL:
	765	case SMARTSHARK_AST:
	766	case SMARTSHARK_SM:
[144]	767	case SMARTSHARK_ALL_NUMERIC:
[143]	768	// TODO check num neighbors
[133]	769	default:
	770	numNeighbors = 10;
	771	break;
	772	}
	773
[59]	774	configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
[133]	775	configFile.append(" <setwiseselector name=\"SeparatabilitySelection\" param=\"" + numNeighbors + "\" />\n");
[59]	776	configFile.append(" <setwisepostprocessor name=\"Undersampling\" param=\"\" />\n");
	777	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	778	configFile.append(" <repetitions number=\"10\" />\n");
[59]	779
	780	postamble(configFile);
	781	return configFile.toString();
	782	}
	783
[133]	784	public static String Nam13(Dataset dataset) {
[59]	785	StringBuilder configFile = new StringBuilder();
	786	preamble(configFile);
	787	dataset(configFile, dataset);
	788	trainers(configFile);
	789
	790	configFile.append(" <preprocessor name=\"TCAPlusNormalization\" param=\"\" />\n");
	791	configFile.append(" <postprocessor name=\"TransferComponentAnalysis\" param=\"\" />\n");
	792	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	793
	794	postamble(configFile);
	795	return configFile.toString();
	796	}
	797
[133]	798	public static String Panichella14(Dataset dataset) {
[59]	799	StringBuilder configFile = new StringBuilder();
	800	preamble(configFile);
	801	dataset(configFile, dataset);
	802
[133]	803	configFile.append(" <trainer name=\"WekaTraining\" param=\"CODEP-LR de.ugoe.cs.cpdp.wekaclassifier.LogisticCODEP\" />\n");
	804	configFile.append(" <trainer name=\"WekaTraining\" param=\"CODEP-BN de.ugoe.cs.cpdp.wekaclassifier.BayesNetCODEP\" />\n");
[59]	805	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	806
	807	postamble(configFile);
	808	return configFile.toString();
	809	}
	810
[133]	811	public static String Ryu14(Dataset dataset) {
[80]	812	StringBuilder configFile = new StringBuilder();
	813	preamble(configFile);
	814	dataset(configFile, dataset);
	815
	816	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
	817	configFile.append(" <testawaretrainer name=\"WekaTestAwareTraining\" param=\"VCBSVM de.ugoe.cs.cpdp.wekaclassifier.VCBSVM -L 0.1 -B 10\" />\n");
	818	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	819	configFile.append(" <repetitions number=\"10\" />\n");
[80]	820
	821	postamble(configFile);
	822	return configFile.toString();
	823	}
[59]	824
[133]	825	public static String PHe15(Dataset dataset) {
[59]	826	StringBuilder configFile = new StringBuilder();
	827	preamble(configFile);
	828	dataset(configFile, dataset);
	829	trainers(configFile);
	830
	831	configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	832	configFile.append(" <setwisepreprocessor name=\"TopMetricFilter\" param=\"\" />\n");
	833	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	834
	835	postamble(configFile);
	836	return configFile.toString();
	837	}
	838
[133]	839	public static String Peters15(Dataset dataset) {
	840	StringBuilder configFile = new StringBuilder();
	841	preamble(configFile);
	842	dataset(configFile, dataset);
	843	trainers(configFile);
	844
	845	configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	846	configFile.append(" <setwiseselector name=\"LACE2\" param=\"0.4\" />\n");
	847	configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"1\" />\n");
	848	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	849	configFile.append(" <repetitions number=\"10\" />\n");
	850
	851	postamble(configFile);
	852	return configFile.toString();
	853	}
[59]	854
[133]	855	public static String Kawata15(Dataset dataset) {
[59]	856	StringBuilder configFile = new StringBuilder();
	857	preamble(configFile);
	858	dataset(configFile, dataset);
	859	trainers(configFile);
	860
	861	configFile.append(" <pointwiseselector name=\"DBSCANFilter\" param=\"\" />\n");
	862	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	863
	864	postamble(configFile);
	865	return configFile.toString();
	866	}
	867
[133]	868	public static String YZhang15(Dataset dataset) {
[59]	869	StringBuilder configFile = new StringBuilder();
	870	preamble(configFile);
	871	dataset(configFile, dataset);
	872
[133]	873	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");
	874	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");
	875	configFile.append(" <trainer name=\"WekaTraining\" param=\"BAG-DT weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
	876	configFile.append(" <trainer name=\"WekaTraining\" param=\"BAG-NB weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
	877	configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOST-DT weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
	878	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]	879	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	880
	881	postamble(configFile);
	882	return configFile.toString();
	883	}
	884
[133]	885	public static String Amasaki15(Dataset dataset) {
[59]	886	StringBuilder configFile = new StringBuilder();
	887	preamble(configFile);
	888	dataset(configFile, dataset);
	889	trainers(configFile);
	890
	891	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	892	configFile.append(" <preprocessor name=\"SynonymAttributePruning\" param=\"\" />\n");
	893	configFile.append(" <pointwiseselector name=\"SynonymOutlierRemoval\" param=\"\" />");
	894	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	895
	896	postamble(configFile);
	897	return configFile.toString();
	898	}
	899
[133]	900	public static String Ryu15(Dataset dataset) {
[59]	901	StringBuilder configFile = new StringBuilder();
	902	preamble(configFile);
	903	dataset(configFile, dataset);
	904	trainersLASER(configFile);
	905
	906	configFile.append(" <pointwiseselector name=\"MahalanobisOutlierRemoval\" param=\"\" />\n");
	907	configFile.append(" <pointwiseselector name=\"NeighborhoodFilter\" param=\"\" />\n");
	908	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	909
	910	postamble(configFile);
	911	return configFile.toString();
	912	}
	913
[133]	914	public static String Nam15(Dataset dataset) {
[59]	915	StringBuilder configFile = new StringBuilder();
	916	preamble(configFile);
	917	dataset(configFile, dataset);
	918	trainers(configFile);
	919
	920	configFile.append(" <preprocessor name=\"CLAMIProcessor\" param=\"\" />\n");
	921	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	922
	923	postamble(configFile);
	924	return configFile.toString();
	925	}
[145]	926
	927	public static String Tantithamthavorn16(Dataset dataset) {
	928	StringBuilder configFile = new StringBuilder();
	929	preamble(configFile);
	930	dataset(configFile, dataset);
	931
	932	configFile.append(" <trainer name=\"WekaTraining\" param=\"NBCARET de.ugoe.cs.cpdp.wekaclassifier.NaiveBayesCaret\" />\n");
	933	configFile.append(" <trainer name=\"WekaTraining\" param=\"RFCARET weka.classifiers.trees.RandomForest -CVPARAM I 10 50 10\" />\n");
	934	configFile.append(" <trainer name=\"WekaTraining\" param=\"SVMCARET de.ugoe.cs.cpdp.wekaclassifier.SMOCaret\" />\n");
	935	//configFile.append(" <trainer name=\"WekaTraining\" param=\"C50CARET de.ugoe.cs.cpdp.wekaclassifier.C50Caret\" />\n");
	936	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	937	configFile.append(" <repetitions number=\"10\" />\n");
	938
	939	postamble(configFile);
	940	return configFile.toString();
	941	}
	942
	943	public static String Hosseini16(Dataset dataset) {
	944	StringBuilder configFile = new StringBuilder();
	945	preamble(configFile);
	946	dataset(configFile, dataset);
	947
	948	configFile.append(" <testawaretrainer name=\"WekaTestAwareTraining\" param=\"SBS de.ugoe.cs.cpdp.wekaclassifier.SearchBasedSelectionClassifier\" />\n");
	949	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	950	configFile.append(" <repetitions number=\"10\" />\n");
	951
	952	postamble(configFile);
	953	return configFile.toString();
	954	}
	955
	956	public static String FZhang16(Dataset dataset) {
	957	StringBuilder configFile = new StringBuilder();
	958	preamble(configFile);
	959	dataset(configFile, dataset);
	960
	961	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
	962	configFile.append(" <setwiseselector name=\"TestAsTraining\" param=\"\" />\n");
	963	configFile.append(" <trainer name=\"WekaTraining\" param=\"SC de.ugoe.cs.cpdp.wekaclassifier.SpectralClusteringClassifier\" />\n");
	964	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	965
	966	postamble(configFile);
	967	return configFile.toString();
	968	}
[59]	969	}

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