--- a
+++ b/src/utils/UpSetR.java
@@ -0,0 +1,176 @@
+/*
+ * To change this license header, choose License Headers in Project Properties.
+ * To change this template file, choose Tools | Templates
+ * and open the template in the editor.
+ */
+package utils;
+
+import biodiscml.BestModelSelectionAndReport;
+import java.io.BufferedReader;
+import java.io.FileReader;
+import java.io.FileWriter;
+import java.io.PrintWriter;
+import java.util.ArrayList;
+import java.util.HashMap;
+
+/**
+ *
+ * @author mickael
+ */
+public class UpSetR {
+
+    public void creatUpSetRDataset(String featureSelectionFile, String predictionsResultsFile) {
+        System.out.println("# create UpSetR file");
+        String outfile = predictionsResultsFile.replace(".csv", ".UpSetR.csv");
+        //create header
+        ArrayList<String> featuresHeader = new ArrayList<>();
+        try {
+            BufferedReader br = new BufferedReader(new FileReader(featureSelectionFile.replace(".csv", ".arff")));
+            String line = br.readLine(); //relation
+            br.readLine(); //empty line
+            line = br.readLine(); // @attribute
+            while (line.startsWith("@attribute")) {
+                featuresHeader.add(line.replace("@attribute ", "").replaceAll(" \\w+$", ""));
+                line = br.readLine();
+            }
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        featuresHeader.remove(featuresHeader.size() - 1);
+        featuresHeader.remove(0);
+
+        //output
+        try {
+            BufferedReader br = new BufferedReader(new FileReader(predictionsResultsFile));
+            PrintWriter pw = new PrintWriter(new FileWriter(outfile));
+            pw.println("ID,"
+                    + "TRAIN_10CV_MCC"
+                    + ",TRAIN_LOOCV_MCC"
+                    + ",TRAIN_BS_MCC"
+                    + ",TEST_MCC"
+                    + ",TRAIN_TEST_BS_MCC"
+                    + ",AVG_MCC,"
+                    + featuresHeader.toString().replace("[", "").replace("]", "").trim() + "");
+
+            pw.flush();
+            String line = br.readLine();
+
+            while (br.ready()) {
+                line = br.readLine();
+                BestModelSelectionAndReport.classificationObject co = new BestModelSelectionAndReport.classificationObject(line);
+
+                //get ID
+                ArrayList<String> featureList = co.featureList;
+                featureList.remove(featureList.size() - 1);
+                featureList.remove(0);
+                int[] tab = new int[featuresHeader.size()];
+                try {
+                    for (String index : featureList) {
+                        tab[Integer.valueOf(index) - 2] = 1;
+                    }
+                } catch (Exception e) {
+                    e.printStackTrace();
+                }
+                String features = "";
+                for (int i : tab) {
+                    features += "," + i;
+                }
+
+                String out = "" + co.identifier + ""
+                        + "," + co.hmValues.get("TRAIN_10CV_MCC")
+                        + "," + co.hmValues.get("TRAIN_LOOCV_MCC")
+                        + "," + co.hmValues.get("TRAIN_BS_MCC")
+                        + "," + co.hmValues.get("TEST_MCC")
+                        + "," + co.hmValues.get("TRAIN_TEST_BS_MCC")
+                        + "," + co.hmValues.get("AVG_MCC") + features + "";
+                pw.println(out);
+            }
+            pw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        System.out.println("UpSetR file: " + outfile);
+    }
+
+    public void creatUpSetRDatasetFromSignature(BestModelSelectionAndReport.classificationObject co_model,
+            String featureSelectionFile, String predictionsResultsFile) {
+        System.out.println("# create UpSetR file");
+        String outfile = predictionsResultsFile.replace(".csv", ".UpSetR.csv");
+        //create header
+        ArrayList<String> alFeaturesOrder = new ArrayList<>();
+        try {
+            BufferedReader br = new BufferedReader(new FileReader(featureSelectionFile.replace(".csv", ".arff")));
+            String line = br.readLine(); //relation
+            br.readLine(); //empty line
+            line = br.readLine(); // @attribute            
+            while (line.startsWith("@attribute")) {
+                alFeaturesOrder.add(line.replace("@attribute ", "").replaceAll(" \\w+$", ""));
+                line = br.readLine();
+            }
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+
+        alFeaturesOrder.remove(alFeaturesOrder.size() - 1);
+
+        //retreive signature
+        String featuresHeader = "";
+        for (int i = 1; i < co_model.featureList.size() - 1; i++) {
+            featuresHeader += "," + alFeaturesOrder.get(Integer.valueOf(co_model.featureList.get(i)) - 1);
+        }
+
+        //output
+        try {
+            //header
+            BufferedReader br = new BufferedReader(new FileReader(predictionsResultsFile));
+            PrintWriter pw = new PrintWriter(new FileWriter(outfile));
+            pw.println("ID,"
+                    + "TRAIN_10CV_MCC"
+                    + ",TRAIN_LOOCV_MCC"
+                    + ",TRAIN_BS_MCC"
+                    + ",TEST_MCC"
+                    + ",TRAIN_TEST_BS_MCC"
+                    + ",AVG_MCC"
+                    + featuresHeader);
+
+            pw.flush();
+            String line = br.readLine();
+
+            //content
+            while (br.ready()) {
+                line = br.readLine();
+                BestModelSelectionAndReport.classificationObject co_line = new BestModelSelectionAndReport.classificationObject(line);
+                ArrayList<String> featureList = co_line.featureList;
+                if (co_line.identifier.equals("trees.RandomForest_AUC_FB_19_0.9571_877")){
+                    System.out.println("");
+                }
+
+                HashMap<String, String> hmFeaturesLine = new HashMap<>();
+                for (int i = 1; i < co_line.featureList.size() - 1; i++) {
+                    hmFeaturesLine.put(co_line.featureList.get(i),"");
+                }
+                String presence = "";
+                for (int i = 1; i < co_model.featureList.size() - 1; i++) {                   
+                    if (hmFeaturesLine.containsKey(co_model.featureList.get(i) + "")) {
+                        presence += ",1";
+                    } else {
+                        presence += ",0";
+                    }
+                }
+                String out = "" + co_line.identifier + ""
+                        + "," + co_line.hmValues.get("TRAIN_10CV_MCC")
+                        + "," + co_line.hmValues.get("TRAIN_LOOCV_MCC")
+                        + "," + co_line.hmValues.get("TRAIN_BS_MCC")
+                        + "," + co_line.hmValues.get("TEST_MCC")
+                        + "," + co_line.hmValues.get("TRAIN_TEST_BS_MCC")
+                        + "," + co_line.hmValues.get("AVG_MCC") + presence + "";
+                pw.println(out);
+            }
+            pw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        System.out.println("UpSetR file: " + outfile);
+    }
+
+}