Fix normalize error

.gitignore

@@ -138,3 +138,5 @@ report_score.sql
 datasets_types
 table.tex
 report.csv
+data/csv/*
+data/oc1output/*

analysis_mysql.py

@@ -20,8 +20,8 @@ models_ensemble = ["odte", "adaBoost", "bagging", "TBRaF", "TBRoF", "TBRRoF"]
 description = ["samp", "var", "cls"]
 complexity = ["nodes", "leaves", "depth"]
 title = "Best model results"
-lengths_acc = [30, 4, 3, 3, 3, 3, 3, 12, 12, 12, 12, 12, 12, 12]
-lengths_time = [30, 4, 3, 3, 3, 3, 3, 17, 17, 17, 17, 17, 17, 17]
+lengths_acc = [30, 4, 3, 3, 6, 6, 5, 12, 12, 12, 12, 12, 12, 12]
+lengths_time = [30, 4, 3, 3, 6, 6, 5, 17, 17, 17, 17, 17, 17, 17]
 
 
 def parse_arguments() -> Tuple[str, str, str, bool, bool]:
@@ -59,9 +59,10 @@ def parse_arguments() -> Tuple[str, str, str, bool, bool]:
     ap.add_argument(
         "-o",
         "--compare",
-        type=bool,
+        type=int,
         required=False,
-        default=False,
+        default=1,
+        help="1=stree optimized, 2=stree_default, 3=both",
     )
     ap.add_argument(
         "-i",
@@ -176,8 +177,10 @@ def report_header(title, experiment, model_type):
 
 def report_line(line):
     output = f"{line['dataset']:{lengths[0] + 5}s} "
-    for key, item in enumerate(description + complexity):
+    for key, item in enumerate(description):
         output += f"{line[item]:{lengths[key + 1]}d} "
+    for key, item in enumerate(complexity):
+        output += f"{line[item]:{lengths[key + len(description) + 1]}.2f} "
     data = models.copy()
     for key, model in enumerate(data):
         output += f"{line[model]:{lengths[key + 7]}s} "
@@ -215,17 +218,22 @@ fields = (
     "Samp",
     "Var",
     "Cls",
-    "Nod",
-    "Lea",
-    "Dep",
+    "Nodes",
+    "Leave",
+    "Depth",
 )
 lengths = lengths_time if time_info else lengths_acc
+reference_model = "stree"
 if tex_output:
-    # We need the stree_std column for the tex output
-    compare = True
-if not compare:
+    # We need the stree & stree_std column for the tex output
+    compare = 3
+if compare != 3:
     # remove stree_default from fields list and lengths
-    models_tree.pop(1)
+    if compare == 1:
+        models_tree.pop(1)
+    else:
+        models_tree.pop(0)
+        reference_model = "stree_default"
     lengths.pop(7)
 models = models_tree if model_type == "tree" else models_ensemble
 for item in models:
@@ -256,16 +264,16 @@ for number, dataset in enumerate(dt):
     max_accuracy = (
         0.0 if record is None else record[9] if time_info else record[5]
     )
-    line["nodes"] = 0
-    line["leaves"] = 0
-    line["depth"] = 0
+    line["nodes"] = 0.0
+    line["leaves"] = 0.0
+    line["depth"] = 0.0
     line_tex = line.copy()
     for column, model in enumerate(models):
         record = dbh.find_best(dataset[0], model, experiment)
         if record is None:
             line[model] = color + "-" * 12
         else:
-            if model == "stree":
+            if model == reference_model:
                 line["nodes"] = record[12]
                 line["leaves"] = record[13]
                 line["depth"] = record[14]

data/oc1output/balance-scale_1.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 91.20	#leaves = 20	max. depth = 7
-fold 2: acc. = 96.00	#leaves = 17	max. depth = 6
-fold 3: acc. = 95.20	#leaves = 23	max. depth = 6
-fold 4: acc. = 87.20	#leaves = 20	max. depth = 6
-fold 5: acc. = 90.40	#leaves = 22	max. depth = 11
-***1***0.9119999***0.1376720***
-***2***0.9600000***0.1428280***
-***3***0.9520000***0.1508450***
-***4***0.8720000***0.1378460***
-***5***0.9040000***0.1278830***
-accuracy = 92.00	#leaves = 20.40	max depth = 7.20
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 92.00	#leaves = 11	max. depth = 6
+fold 2: acc. = 96.80	#leaves = 16	max. depth = 6
+fold 3: acc. = 84.00	#leaves = 27	max. depth = 8
+fold 4: acc. = 86.40	#leaves = 27	max. depth = 11
+fold 5: acc. = 91.20	#leaves = 22	max. depth = 6
+accuracy = 90.08	#leaves = 20.60	max depth = 7.40

data/oc1output/balance-scale_17.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 88.00	#leaves = 7	max. depth = 5
-fold 2: acc. = 90.40	#leaves = 26	max. depth = 9
-fold 3: acc. = 95.20	#leaves = 22	max. depth = 6
-fold 4: acc. = 95.20	#leaves = 24	max. depth = 8
-fold 5: acc. = 94.40	#leaves = 23	max. depth = 6
-***1***0.8800000***0.1742090***
-***2***0.9040000***0.1320760***
-***3***0.9520000***0.1613200***
-***4***0.9520000***0.1710910***
-***5***0.9440000***0.1351510***
-accuracy = 92.64	#leaves = 20.40	max depth = 6.80
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 85.60	#leaves = 8	max. depth = 5
+fold 2: acc. = 89.60	#leaves = 20	max. depth = 5
+fold 3: acc. = 92.00	#leaves = 26	max. depth = 9
+fold 4: acc. = 95.20	#leaves = 25	max. depth = 8
+fold 5: acc. = 97.60	#leaves = 21	max. depth = 6
+accuracy = 92.00	#leaves = 20.00	max depth = 6.60

data/oc1output/balance-scale_1714.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 91.20	#leaves = 3	max. depth = 2
-fold 2: acc. = 91.20	#leaves = 25	max. depth = 7
-fold 3: acc. = 92.80	#leaves = 17	max. depth = 6
-fold 4: acc. = 92.00	#leaves = 25	max. depth = 9
-fold 5: acc. = 93.60	#leaves = 19	max. depth = 7
-***1***0.9119999***0.2047800***
-***2***0.9119999***0.1773540***
-***3***0.9280000***0.1437680***
-***4***0.9200000***0.1893400***
-***5***0.9360000***0.1444770***
-accuracy = 92.16	#leaves = 17.80	max depth = 6.20
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 91.20	#leaves = 4	max. depth = 3
+fold 2: acc. = 94.40	#leaves = 23	max. depth = 6
+fold 3: acc. = 88.00	#leaves = 23	max. depth = 8
+fold 4: acc. = 91.20	#leaves = 27	max. depth = 7
+fold 5: acc. = 92.00	#leaves = 21	max. depth = 6
+accuracy = 91.36	#leaves = 19.60	max depth = 6.00

data/oc1output/balance-scale_23.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 94.40	#leaves = 9	max. depth = 6
-fold 2: acc. = 90.40	#leaves = 21	max. depth = 6
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 88.80	#leaves = 7	max. depth = 5
+fold 2: acc. = 89.60	#leaves = 21	max. depth = 7
 fold 3: acc. = 91.20	#leaves = 21	max. depth = 6
-fold 4: acc. = 95.20	#leaves = 20	max. depth = 6
-fold 5: acc. = 95.20	#leaves = 20	max. depth = 6
-***1***0.9440000***0.1123480***
-***2***0.9040000***0.1538760***
-***3***0.9119999***0.1522410***
-***4***0.9520000***0.1502330***
-***5***0.9520000***0.1912490***
-accuracy = 93.28	#leaves = 18.20	max depth = 6.00
-
+fold 4: acc. = 93.60	#leaves = 24	max. depth = 8
+fold 5: acc. = 94.40	#leaves = 22	max. depth = 6
+accuracy = 91.52	#leaves = 19.00	max depth = 6.40

data/oc1output/balance-scale_31.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 88.80	#leaves = 4	max. depth = 3
-fold 2: acc. = 93.60	#leaves = 20	max. depth = 6
-fold 3: acc. = 89.60	#leaves = 16	max. depth = 7
-fold 4: acc. = 90.40	#leaves = 22	max. depth = 7
-fold 5: acc. = 92.80	#leaves = 20	max. depth = 6
-***1***0.8880000***0.1684610***
-***2***0.9360000***0.1583620***
-***3***0.8960000***0.1053100***
-***4***0.9040000***0.1816020***
-***5***0.9280000***0.1271500***
-accuracy = 91.04	#leaves = 16.40	max depth = 5.80
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 88.80	#leaves = 3	max. depth = 2
+fold 2: acc. = 93.60	#leaves = 25	max. depth = 8
+fold 3: acc. = 89.60	#leaves = 18	max. depth = 7
+fold 4: acc. = 88.00	#leaves = 20	max. depth = 6
+fold 5: acc. = 90.40	#leaves = 19	max. depth = 7
+accuracy = 90.08	#leaves = 17.00	max depth = 6.00

data/oc1output/balance-scale_57.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 90.40	#leaves = 16	max. depth = 7
-fold 2: acc. = 93.60	#leaves = 22	max. depth = 7
-fold 3: acc. = 92.00	#leaves = 19	max. depth = 6
-fold 4: acc. = 88.80	#leaves = 21	max. depth = 5
-fold 5: acc. = 92.00	#leaves = 25	max. depth = 7
-***1***0.9040000***0.1495390***
-***2***0.9360000***0.1578690***
-***3***0.9200000***0.1519580***
-***4***0.8880000***0.1530540***
-***5***0.9200000***0.1485840***
-accuracy = 91.36	#leaves = 20.60	max depth = 6.40
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 88.80	#leaves = 5	max. depth = 4
+fold 2: acc. = 95.20	#leaves = 21	max. depth = 7
+fold 3: acc. = 88.00	#leaves = 25	max. depth = 9
+fold 4: acc. = 91.20	#leaves = 22	max. depth = 6
+fold 5: acc. = 92.00	#leaves = 22	max. depth = 8
+accuracy = 91.04	#leaves = 19.00	max depth = 6.80

data/oc1output/balance-scale_7.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 90.40	#leaves = 4	max. depth = 3
-fold 2: acc. = 90.40	#leaves = 22	max. depth = 7
-fold 3: acc. = 93.60	#leaves = 23	max. depth = 6
-fold 4: acc. = 92.80	#leaves = 20	max. depth = 6
-fold 5: acc. = 93.60	#leaves = 23	max. depth = 7
-***1***0.9040000***0.1173850***
-***2***0.9040000***0.1523650***
-***3***0.9360000***0.1521940***
-***4***0.9280000***0.1542740***
-***5***0.9360000***0.1451140***
-accuracy = 92.16	#leaves = 18.40	max depth = 5.80
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 94.40	#leaves = 3	max. depth = 2
+fold 2: acc. = 93.60	#leaves = 21	max. depth = 6
+fold 3: acc. = 89.60	#leaves = 24	max. depth = 12
+fold 4: acc. = 94.40	#leaves = 24	max. depth = 8
+fold 5: acc. = 93.60	#leaves = 23	max. depth = 6
+accuracy = 93.12	#leaves = 19.00	max depth = 6.80

data/oc1output/balance-scale_79.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 92.00	#leaves = 7	max. depth = 5
-fold 2: acc. = 92.00	#leaves = 24	max. depth = 7
-fold 3: acc. = 92.00	#leaves = 22	max. depth = 7
-fold 4: acc. = 92.80	#leaves = 17	max. depth = 7
-fold 5: acc. = 90.40	#leaves = 18	max. depth = 7
-***1***0.9200000***0.1560700***
-***2***0.9200000***0.2082680***
-***3***0.9200000***0.1455630***
-***4***0.9280000***0.1115600***
-***5***0.9040000***0.1339720***
-accuracy = 91.84	#leaves = 17.60	max depth = 6.60
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 92.80	#leaves = 7	max. depth = 5
+fold 2: acc. = 90.40	#leaves = 25	max. depth = 7
+fold 3: acc. = 94.40	#leaves = 19	max. depth = 7
+fold 4: acc. = 94.40	#leaves = 19	max. depth = 6
+fold 5: acc. = 90.40	#leaves = 17	max. depth = 7
+accuracy = 92.48	#leaves = 17.40	max depth = 6.40

data/oc1output/balance-scale_83.txt

@@ -1,17 +1,10 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 96.80	#leaves = 17	max. depth = 6
-fold 2: acc. = 85.60	#leaves = 24	max. depth = 9
-fold 3: acc. = 92.80	#leaves = 20	max. depth = 9
-fold 4: acc. = 91.20	#leaves = 25	max. depth = 7
-fold 5: acc. = 89.60	#leaves = 20	max. depth = 8
-***1***0.9680001***0.1825770***
-***2***0.8560000***0.1775970***
-***3***0.9280000***0.1379930***
-***4***0.9119999***0.1731700***
-***5***0.8960000***0.1532090***
-accuracy = 91.20	#leaves = 21.20	max depth = 7.80
-
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.
+fold 1: acc. = 95.20	#leaves = 21	max. depth = 6
+fold 2: acc. = 88.00	#leaves = 25	max. depth = 7
+fold 3: acc. = 94.40	#leaves = 23	max. depth = 7
+fold 4: acc. = 90.40	#leaves = 21	max. depth = 6
+fold 5: acc. = 89.60	#leaves = 17	max. depth = 8
+accuracy = 91.52	#leaves = 21.40	max depth = 6.80

data/oc1output/balance-scale_97.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 3
-Pruned decision tree written to csv/balance-scale.csv.dt.
-Unpruned decision tree written to csv/balance-scale.csv.dt.unpruned.
-fold 1: acc. = 90.40	#leaves = 3	max. depth = 2
-fold 2: acc. = 91.20	#leaves = 20	max. depth = 9
-fold 3: acc. = 92.80	#leaves = 22	max. depth = 6
-fold 4: acc. = 91.20	#leaves = 30	max. depth = 10
-fold 5: acc. = 92.00	#leaves = 21	max. depth = 10
-***1***0.9040000***0.1535620***
-***2***0.9119999***0.1267080***
-***3***0.9280000***0.1401320***
-***4***0.9119999***0.1421460***
-***5***0.9200000***0.1283360***
-accuracy = 91.52	#leaves = 19.20	max depth = 7.40
-
+Pruned decision tree written to data/csv/balance-scale.csv.dt.
+Unpruned decision tree written to data/csv/balance-scale.csv.dt.unpruned.
+fold 1: acc. = 88.00	#leaves = 3	max. depth = 2
+fold 2: acc. = 89.60	#leaves = 29	max. depth = 9
+fold 3: acc. = 92.80	#leaves = 23	max. depth = 9
+fold 4: acc. = 95.20	#leaves = 23	max. depth = 8
+fold 5: acc. = 90.40	#leaves = 23	max. depth = 8
+accuracy = 91.20	#leaves = 20.20	max depth = 7.20

data/oc1output/balloons_1.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.
 fold 1: acc. = 100.00	#leaves = 4	max. depth = 3
 fold 2: acc. = 33.33	#leaves = 4	max. depth = 3
-fold 3: acc. = 66.67	#leaves = 2	max. depth = 1
+fold 3: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 4: acc. = 66.67	#leaves = 4	max. depth = 3
-fold 5: acc. = 75.00	#leaves = 2	max. depth = 1
-***1***1.0000000***0.0006650***
-***2***0.3333333***0.0004570***
-***3***0.6666666***0.0001280***
-***4***0.6666666***0.0005580***
-***5***0.7500000***0.0001120***
-accuracy = 68.75	#leaves = 3.20	max depth = 2.20
-
+fold 5: acc. = 25.00	#leaves = 2	max. depth = 1
+accuracy = 50.00	#leaves = 3.20	max depth = 2.20

data/oc1output/balloons_17.txt

@@ -1,16 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/balloons.csv.dt.
-Unpruned decision tree written to csv/balloons.csv.dt.unpruned.
-fold 1: acc. = 100.00	#leaves = 2	max. depth = 1
+Unpruned decision tree written to data/csv/balloons.csv.dt.
+fold 1: acc. = 66.67	#leaves = 4	max. depth = 3
 fold 2: acc. = 100.00	#leaves = 4	max. depth = 3
-fold 3: acc. = 33.33	#leaves = 2	max. depth = 1
+fold 3: acc. = 0.00	#leaves = 2	max. depth = 1
 fold 4: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 5: acc. = 75.00	#leaves = 4	max. depth = 3
-***1***1.0000000***0.0006200***
-***2***1.0000000***0.0005710***
-***3***0.3333333***0.0000290***
-***4***0.3333333***0.0000080***
-***5***0.7500000***0.0004570***
-accuracy = 68.75	#leaves = 2.80	max depth = 1.80
-
+accuracy = 56.25	#leaves = 3.20	max depth = 2.20

data/oc1output/balloons_1714.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.
 fold 1: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 2: acc. = 66.67	#leaves = 4	max. depth = 3
 fold 3: acc. = 33.33	#leaves = 4	max. depth = 3
 fold 4: acc. = 33.33	#leaves = 2	max. depth = 1
-fold 5: acc. = 75.00	#leaves = 2	max. depth = 1
-***1***0.3333333***0.0000490***
-***2***0.6666666***0.0004340***
-***3***0.3333333***0.0006220***
-***4***0.3333333***0.0000640***
-***5***0.7500000***0.0001080***
-accuracy = 50.00	#leaves = 2.80	max depth = 1.80
-
+fold 5: acc. = 50.00	#leaves = 2	max. depth = 1
+accuracy = 43.75	#leaves = 2.80	max depth = 1.80

data/oc1output/balloons_23.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/balloons.csv.dt.
-fold 1: acc. = 33.33	#leaves = 2	max. depth = 1
+Unpruned decision tree written to data/csv/balloons.csv.dt.
+fold 1: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 2: acc. = 100.00	#leaves = 4	max. depth = 3
 fold 3: acc. = 66.67	#leaves = 4	max. depth = 3
 fold 4: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 5: acc. = 75.00	#leaves = 2	max. depth = 1
-***1***0.3333333***0.0000720***
-***2***1.0000000***0.0005000***
-***3***0.6666666***0.0005080***
-***4***0.3333333***0.0000670***
-***5***0.7500000***0.0000270***
-accuracy = 62.50	#leaves = 2.80	max depth = 1.80
-
+accuracy = 68.75	#leaves = 2.80	max depth = 1.80

data/oc1output/balloons_31.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/balloons.csv.dt.
-Unpruned decision tree written to csv/balloons.csv.dt.unpruned.
-fold 1: acc. = 33.33	#leaves = 2	max. depth = 1
+Pruned decision tree written to data/csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.unpruned.
+fold 1: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 2: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 3: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 4: acc. = 66.67	#leaves = 4	max. depth = 3
 fold 5: acc. = 75.00	#leaves = 2	max. depth = 1
-***1***0.3333333***0.0006660***
-***2***0.6666666***0.0001630***
-***3***0.3333333***0.0000290***
-***4***0.6666666***0.0005250***
-***5***0.7500000***0.0001330***
-accuracy = 56.25	#leaves = 2.40	max depth = 1.40
-
+accuracy = 62.50	#leaves = 2.40	max depth = 1.40

data/oc1output/balloons_57.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/balloons.csv.dt.
-fold 1: acc. = 0.00	#leaves = 2	max. depth = 1
+Unpruned decision tree written to data/csv/balloons.csv.dt.
+fold 1: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 2: acc. = 100.00	#leaves = 4	max. depth = 3
 fold 3: acc. = 66.67	#leaves = 4	max. depth = 3
-fold 4: acc. = 66.67	#leaves = 2	max. depth = 1
+fold 4: acc. = 0.00	#leaves = 2	max. depth = 1
 fold 5: acc. = 50.00	#leaves = 2	max. depth = 1
-***1***0.0000000***0.0001200***
-***2***1.0000000***0.0006120***
-***3***0.6666666***0.0004640***
-***4***0.6666666***0.0001120***
-***5***0.5000000***0.0000210***
 accuracy = 56.25	#leaves = 2.80	max depth = 1.80
-

data/oc1output/balloons_7.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/balloons.csv.dt.
-Unpruned decision tree written to csv/balloons.csv.dt.unpruned.
+Pruned decision tree written to data/csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.unpruned.
 fold 1: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 2: acc. = 33.33	#leaves = 4	max. depth = 3
 fold 3: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 4: acc. = 100.00	#leaves = 4	max. depth = 3
 fold 5: acc. = 75.00	#leaves = 4	max. depth = 3
-***1***0.3333333***0.0006550***
-***2***0.3333333***0.0006120***
-***3***0.3333333***0.0001330***
-***4***1.0000000***0.0005110***
-***5***0.7500000***0.0004140***
 accuracy = 56.25	#leaves = 3.20	max depth = 2.20
-

data/oc1output/balloons_79.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/balloons.csv.dt.
-Unpruned decision tree written to csv/balloons.csv.dt.unpruned.
-fold 1: acc. = 100.00	#leaves = 2	max. depth = 1
-fold 2: acc. = 33.33	#leaves = 2	max. depth = 1
+Pruned decision tree written to data/csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.unpruned.
+fold 1: acc. = 66.67	#leaves = 2	max. depth = 1
+fold 2: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 3: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 4: acc. = 100.00	#leaves = 4	max. depth = 3
 fold 5: acc. = 50.00	#leaves = 2	max. depth = 1
-***1***1.0000000***0.0004990***
-***2***0.3333333***0.0000300***
-***3***0.3333333***0.0001110***
-***4***1.0000000***0.0008530***
-***5***0.5000000***0.0000850***
 accuracy = 62.50	#leaves = 2.40	max depth = 1.40
-

data/oc1output/balloons_83.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.
 fold 1: acc. = 33.33	#leaves = 2	max. depth = 1
 fold 2: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 3: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 4: acc. = 66.67	#leaves = 4	max. depth = 3
 fold 5: acc. = 75.00	#leaves = 4	max. depth = 3
-***1***0.3333333***0.0001710***
-***2***0.6666666***0.0000920***
-***3***0.6666666***0.0000790***
-***4***0.6666666***0.0004210***
-***5***0.7500000***0.0005350***
 accuracy = 62.50	#leaves = 2.80	max depth = 1.80
-

data/oc1output/balloons_97.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/balloons.csv.dt.
+Unpruned decision tree written to data/csv/balloons.csv.dt.
 fold 1: acc. = 66.67	#leaves = 2	max. depth = 1
 fold 2: acc. = 100.00	#leaves = 4	max. depth = 3
-fold 3: acc. = 66.67	#leaves = 2	max. depth = 1
-fold 4: acc. = 100.00	#leaves = 4	max. depth = 3
-fold 5: acc. = 75.00	#leaves = 4	max. depth = 3
-***1***0.6666666***0.0000820***
-***2***1.0000000***0.0004620***
-***3***0.6666666***0.0000580***
-***4***1.0000000***0.0004440***
-***5***0.7500000***0.0004950***
-accuracy = 81.25	#leaves = 3.20	max depth = 2.20
-
+fold 3: acc. = 33.33	#leaves = 2	max. depth = 1
+fold 4: acc. = 66.67	#leaves = 4	max. depth = 3
+fold 5: acc. = 100.00	#leaves = 4	max. depth = 3
+accuracy = 75.00	#leaves = 3.20	max depth = 2.20

data/oc1output/breast-cancer-wisc-diag_1.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 96.46	#leaves = 4	max. depth = 2
-fold 2: acc. = 96.46	#leaves = 13	max. depth = 5
-fold 3: acc. = 95.58	#leaves = 10	max. depth = 5
-fold 4: acc. = 92.04	#leaves = 9	max. depth = 5
-fold 5: acc. = 91.45	#leaves = 9	max. depth = 5
-***1***0.9646018***0.4593610***
-***2***0.9646018***0.4341560***
-***3***0.9557522***0.4168980***
-***4***0.9203540***0.3838570***
-***5***0.9145299***0.3615430***
-accuracy = 94.38	#leaves = 9.00	max depth = 4.40
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 96.46	#leaves = 3	max. depth = 2
+fold 2: acc. = 97.35	#leaves = 14	max. depth = 9
+fold 3: acc. = 92.04	#leaves = 13	max. depth = 5
+fold 4: acc. = 89.38	#leaves = 16	max. depth = 8
+fold 5: acc. = 93.16	#leaves = 13	max. depth = 6
+accuracy = 93.67	#leaves = 11.80	max depth = 6.00

data/oc1output/breast-cancer-wisc-diag_17.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 92.04	#leaves = 2	max. depth = 1
-fold 2: acc. = 91.15	#leaves = 14	max. depth = 7
-fold 3: acc. = 94.69	#leaves = 14	max. depth = 7
-fold 4: acc. = 90.27	#leaves = 9	max. depth = 6
-fold 5: acc. = 95.73	#leaves = 10	max. depth = 5
-***1***0.9203540***0.4383960***
-***2***0.9115044***0.5165450***
-***3***0.9469026***0.5250950***
-***4***0.9026549***0.4724730***
-***5***0.9572650***0.3545000***
-accuracy = 92.79	#leaves = 9.80	max depth = 5.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 98.23	#leaves = 2	max. depth = 1
+fold 2: acc. = 95.58	#leaves = 12	max. depth = 6
+fold 3: acc. = 88.50	#leaves = 14	max. depth = 7
+fold 4: acc. = 94.69	#leaves = 10	max. depth = 5
+fold 5: acc. = 95.73	#leaves = 16	max. depth = 9
+accuracy = 94.55	#leaves = 10.80	max depth = 5.60

data/oc1output/breast-cancer-wisc-diag_1714.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 97.35	#leaves = 4	max. depth = 2
-fold 2: acc. = 90.27	#leaves = 11	max. depth = 5
-fold 3: acc. = 96.46	#leaves = 11	max. depth = 6
-fold 4: acc. = 87.61	#leaves = 11	max. depth = 6
-fold 5: acc. = 87.18	#leaves = 11	max. depth = 5
-***1***0.9734513***0.4607470***
-***2***0.9026549***0.3803300***
-***3***0.9646018***0.4174980***
-***4***0.8761062***0.4477900***
-***5***0.8717949***0.4447040***
-accuracy = 91.74	#leaves = 9.60	max depth = 4.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 98.23	#leaves = 2	max. depth = 1
+fold 2: acc. = 94.69	#leaves = 14	max. depth = 7
+fold 3: acc. = 95.58	#leaves = 15	max. depth = 8
+fold 4: acc. = 94.69	#leaves = 11	max. depth = 5
+fold 5: acc. = 88.89	#leaves = 11	max. depth = 5
+accuracy = 94.38	#leaves = 10.60	max depth = 5.20

data/oc1output/breast-cancer-wisc-diag_23.txt

@@ -1,16 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 97.35	#leaves = 2	max. depth = 1
-fold 2: acc. = 93.81	#leaves = 10	max. depth = 5
-fold 3: acc. = 95.58	#leaves = 12	max. depth = 6
-fold 4: acc. = 96.46	#leaves = 12	max. depth = 5
-fold 5: acc. = 90.60	#leaves = 8	max. depth = 6
-***1***0.9734513***0.4326720***
-***2***0.9380531***0.3497840***
-***3***0.9557522***0.4613190***
-***4***0.9646018***0.3268390***
-***5***0.9059829***0.4134760***
-accuracy = 94.73	#leaves = 8.80	max depth = 4.60
-
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+fold 1: acc. = 95.58	#leaves = 15	max. depth = 8
+fold 2: acc. = 96.46	#leaves = 14	max. depth = 7
+fold 3: acc. = 92.92	#leaves = 16	max. depth = 6
+fold 4: acc. = 88.50	#leaves = 17	max. depth = 7
+fold 5: acc. = 92.31	#leaves = 13	max. depth = 6
+accuracy = 93.15	#leaves = 15.00	max depth = 6.80

data/oc1output/breast-cancer-wisc-diag_31.txt

@@ -1,15 +1,9 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-fold 1: acc. = 92.92	#leaves = 12	max. depth = 6
-fold 2: acc. = 93.81	#leaves = 8	max. depth = 4
-fold 3: acc. = 92.92	#leaves = 9	max. depth = 5
-fold 4: acc. = 91.15	#leaves = 10	max. depth = 5
-fold 5: acc. = 90.60	#leaves = 9	max. depth = 4
-***1***0.9292036***0.4147710***
-***2***0.9380531***0.3824350***
-***3***0.9292036***0.3959670***
-***4***0.9115044***0.3796050***
-***5***0.9059829***0.3496160***
-accuracy = 92.27	#leaves = 9.60	max depth = 4.80
-
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+fold 1: acc. = 92.04	#leaves = 10	max. depth = 6
+fold 2: acc. = 92.92	#leaves = 14	max. depth = 6
+fold 3: acc. = 94.69	#leaves = 12	max. depth = 5
+fold 4: acc. = 93.81	#leaves = 11	max. depth = 6
+fold 5: acc. = 95.73	#leaves = 11	max. depth = 5
+accuracy = 93.85	#leaves = 11.60	max depth = 5.60

data/oc1output/breast-cancer-wisc-diag_57.txt

@@ -1,15 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-fold 1: acc. = 91.15	#leaves = 12	max. depth = 6
-fold 2: acc. = 92.92	#leaves = 14	max. depth = 6
-fold 3: acc. = 88.50	#leaves = 12	max. depth = 6
-fold 4: acc. = 92.04	#leaves = 11	max. depth = 6
-fold 5: acc. = 95.73	#leaves = 13	max. depth = 7
-***1***0.9115044***0.4996240***
-***2***0.9292036***0.4493650***
-***3***0.8849558***0.4878900***
-***4***0.9203540***0.4313300***
-***5***0.9572650***0.4909830***
-accuracy = 92.09	#leaves = 12.40	max depth = 6.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 93.81	#leaves = 10	max. depth = 4
+fold 2: acc. = 93.81	#leaves = 16	max. depth = 6
+fold 3: acc. = 89.38	#leaves = 10	max. depth = 5
+fold 4: acc. = 92.04	#leaves = 13	max. depth = 6
+fold 5: acc. = 91.45	#leaves = 18	max. depth = 8
+accuracy = 92.09	#leaves = 13.40	max depth = 5.80

data/oc1output/breast-cancer-wisc-diag_7.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 92.04	#leaves = 4	max. depth = 2
-fold 2: acc. = 92.92	#leaves = 15	max. depth = 7
-fold 3: acc. = 94.69	#leaves = 11	max. depth = 6
-fold 4: acc. = 94.69	#leaves = 10	max. depth = 6
-fold 5: acc. = 93.16	#leaves = 10	max. depth = 6
-***1***0.9203540***0.3161270***
-***2***0.9292036***0.5344420***
-***3***0.9469026***0.4555300***
-***4***0.9469026***0.4175560***
-***5***0.9316239***0.4102290***
-accuracy = 93.50	#leaves = 10.00	max depth = 5.40
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 93.81	#leaves = 3	max. depth = 2
+fold 2: acc. = 95.58	#leaves = 18	max. depth = 7
+fold 3: acc. = 92.04	#leaves = 18	max. depth = 7
+fold 4: acc. = 92.92	#leaves = 12	max. depth = 6
+fold 5: acc. = 87.18	#leaves = 16	max. depth = 6
+accuracy = 92.27	#leaves = 13.40	max depth = 5.60

data/oc1output/breast-cancer-wisc-diag_79.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 95.58	#leaves = 2	max. depth = 1
-fold 2: acc. = 90.27	#leaves = 9	max. depth = 5
-fold 3: acc. = 92.92	#leaves = 12	max. depth = 5
-fold 4: acc. = 96.46	#leaves = 12	max. depth = 6
-fold 5: acc. = 90.60	#leaves = 11	max. depth = 5
-***1***0.9557522***0.5332880***
-***2***0.9026549***0.3000810***
-***3***0.9292036***0.3710580***
-***4***0.9646018***0.4633620***
-***5***0.9059829***0.4023040***
-accuracy = 93.15	#leaves = 9.20	max depth = 4.40
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 92.92	#leaves = 2	max. depth = 1
+fold 2: acc. = 92.04	#leaves = 13	max. depth = 6
+fold 3: acc. = 94.69	#leaves = 17	max. depth = 7
+fold 4: acc. = 93.81	#leaves = 18	max. depth = 7
+fold 5: acc. = 96.58	#leaves = 13	max. depth = 6
+accuracy = 94.02	#leaves = 12.60	max depth = 5.40

data/oc1output/breast-cancer-wisc-diag_83.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 95.58	#leaves = 5	max. depth = 3
-fold 2: acc. = 94.69	#leaves = 12	max. depth = 5
-fold 3: acc. = 92.04	#leaves = 9	max. depth = 5
-fold 4: acc. = 99.12	#leaves = 14	max. depth = 7
-fold 5: acc. = 93.16	#leaves = 9	max. depth = 4
-***1***0.9557522***0.3973530***
-***2***0.9469026***0.4266240***
-***3***0.9203540***0.4851730***
-***4***0.9911504***0.4791740***
-***5***0.9316239***0.3095790***
-accuracy = 94.90	#leaves = 9.80	max depth = 4.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 90.27	#leaves = 3	max. depth = 2
+fold 2: acc. = 95.58	#leaves = 17	max. depth = 5
+fold 3: acc. = 94.69	#leaves = 11	max. depth = 5
+fold 4: acc. = 92.04	#leaves = 20	max. depth = 8
+fold 5: acc. = 92.31	#leaves = 11	max. depth = 4
+accuracy = 92.97	#leaves = 12.40	max depth = 4.80

data/oc1output/breast-cancer-wisc-diag_97.txt

@@ -1,16 +1,10 @@
 Remapping class numbers:
 	0 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-diag.csv.dt.unpruned.
-fold 1: acc. = 91.15	#leaves = 3	max. depth = 2
-fold 2: acc. = 95.58	#leaves = 12	max. depth = 6
-fold 3: acc. = 94.69	#leaves = 14	max. depth = 7
-fold 4: acc. = 94.69	#leaves = 13	max. depth = 6
-fold 5: acc. = 93.16	#leaves = 12	max. depth = 7
-***1***0.9115044***0.4446120***
-***2***0.9557522***0.3404500***
-***3***0.9469026***0.5454870***
-***4***0.9469026***0.4228450***
-***5***0.9316239***0.4759710***
-accuracy = 93.85	#leaves = 10.80	max depth = 5.60
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-diag.csv.dt.unpruned.
+fold 1: acc. = 89.38	#leaves = 2	max. depth = 1
+fold 2: acc. = 95.58	#leaves = 10	max. depth = 4
+fold 3: acc. = 93.81	#leaves = 15	max. depth = 9
+fold 4: acc. = 90.27	#leaves = 9	max. depth = 4
+fold 5: acc. = 94.02	#leaves = 12	max. depth = 6
+accuracy = 92.62	#leaves = 9.60	max depth = 4.80

data/oc1output/breast-cancer-wisc-prog_1.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 82.05	#leaves = 2	max. depth = 1
-fold 2: acc. = 61.54	#leaves = 16	max. depth = 7
-fold 3: acc. = 61.54	#leaves = 17	max. depth = 7
-fold 4: acc. = 66.67	#leaves = 17	max. depth = 7
-fold 5: acc. = 78.57	#leaves = 10	max. depth = 7
-***1***0.8205128***0.2260680***
-***2***0.6153846***0.1554000***
-***3***0.6153846***0.1526130***
-***4***0.6666666***0.1535230***
-***5***0.7857143***0.1501170***
-accuracy = 70.20	#leaves = 12.40	max depth = 5.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 82.05	#leaves = 6	max. depth = 3
+fold 2: acc. = 64.10	#leaves = 17	max. depth = 6
+fold 3: acc. = 71.79	#leaves = 18	max. depth = 8
+fold 4: acc. = 53.85	#leaves = 15	max. depth = 6
+fold 5: acc. = 78.57	#leaves = 18	max. depth = 11
+accuracy = 70.20	#leaves = 14.80	max depth = 6.80

data/oc1output/breast-cancer-wisc-prog_17.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 79.49	#leaves = 2	max. depth = 1
-fold 2: acc. = 82.05	#leaves = 17	max. depth = 10
-fold 3: acc. = 61.54	#leaves = 15	max. depth = 9
-fold 4: acc. = 66.67	#leaves = 14	max. depth = 7
-fold 5: acc. = 57.14	#leaves = 15	max. depth = 7
-***1***0.7948718***0.1058620***
-***2***0.8205128***0.2578260***
-***3***0.6153846***0.1876480***
-***4***0.6666666***0.1663680***
-***5***0.5714285***0.1601500***
-accuracy = 69.19	#leaves = 12.60	max depth = 6.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 89.74	#leaves = 4	max. depth = 3
+fold 2: acc. = 74.36	#leaves = 18	max. depth = 9
+fold 3: acc. = 69.23	#leaves = 16	max. depth = 8
+fold 4: acc. = 64.10	#leaves = 16	max. depth = 10
+fold 5: acc. = 73.81	#leaves = 17	max. depth = 9
+accuracy = 74.24	#leaves = 14.20	max depth = 7.80

data/oc1output/breast-cancer-wisc-prog_1714.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 69.23	#leaves = 2	max. depth = 1
-fold 2: acc. = 61.54	#leaves = 18	max. depth = 7
-fold 3: acc. = 79.49	#leaves = 17	max. depth = 9
-fold 4: acc. = 76.92	#leaves = 19	max. depth = 7
-fold 5: acc. = 69.05	#leaves = 14	max. depth = 7
-***1***0.6923077***0.1508420***
-***2***0.6153846***0.1505870***
-***3***0.7948718***0.2119290***
-***4***0.7692308***0.1523610***
-***5***0.6904762***0.1479020***
-accuracy = 71.21	#leaves = 14.00	max depth = 6.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 76.92	#leaves = 2	max. depth = 1
+fold 2: acc. = 76.92	#leaves = 20	max. depth = 8
+fold 3: acc. = 76.92	#leaves = 21	max. depth = 8
+fold 4: acc. = 61.54	#leaves = 17	max. depth = 9
+fold 5: acc. = 59.52	#leaves = 16	max. depth = 7
+accuracy = 70.20	#leaves = 15.20	max depth = 6.60

data/oc1output/breast-cancer-wisc-prog_23.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 79.49	#leaves = 2	max. depth = 1
-fold 2: acc. = 74.36	#leaves = 17	max. depth = 7
-fold 3: acc. = 66.67	#leaves = 15	max. depth = 9
-fold 4: acc. = 61.54	#leaves = 17	max. depth = 7
-fold 5: acc. = 64.29	#leaves = 14	max. depth = 7
-***1***0.7948718***0.1580790***
-***2***0.7435897***0.1550880***
-***3***0.6666666***0.1982970***
-***4***0.6153846***0.1623770***
-***5***0.6428571***0.1599120***
-accuracy = 69.19	#leaves = 13.00	max depth = 6.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 87.18	#leaves = 5	max. depth = 4
+fold 2: acc. = 71.79	#leaves = 21	max. depth = 8
+fold 3: acc. = 69.23	#leaves = 19	max. depth = 8
+fold 4: acc. = 69.23	#leaves = 20	max. depth = 11
+fold 5: acc. = 54.76	#leaves = 17	max. depth = 9
+accuracy = 70.20	#leaves = 16.40	max depth = 8.00

data/oc1output/breast-cancer-wisc-prog_31.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 64.10	#leaves = 2	max. depth = 1
-fold 2: acc. = 74.36	#leaves = 15	max. depth = 8
-fold 3: acc. = 61.54	#leaves = 14	max. depth = 7
-fold 4: acc. = 76.92	#leaves = 11	max. depth = 6
-fold 5: acc. = 66.67	#leaves = 15	max. depth = 9
-***1***0.6410256***0.1524790***
-***2***0.7435897***0.1411380***
-***3***0.6153846***0.1412760***
-***4***0.7692308***0.1463140***
-***5***0.6666666***0.2088300***
-accuracy = 68.69	#leaves = 11.40	max depth = 6.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 71.79	#leaves = 5	max. depth = 3
+fold 2: acc. = 71.79	#leaves = 18	max. depth = 6
+fold 3: acc. = 69.23	#leaves = 16	max. depth = 7
+fold 4: acc. = 64.10	#leaves = 17	max. depth = 6
+fold 5: acc. = 71.43	#leaves = 18	max. depth = 6
+accuracy = 69.70	#leaves = 14.80	max depth = 5.60

data/oc1output/breast-cancer-wisc-prog_57.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 79.49	#leaves = 3	max. depth = 2
-fold 2: acc. = 87.18	#leaves = 13	max. depth = 8
-fold 3: acc. = 61.54	#leaves = 13	max. depth = 7
-fold 4: acc. = 53.85	#leaves = 14	max. depth = 9
-fold 5: acc. = 59.52	#leaves = 13	max. depth = 9
-***1***0.7948718***0.1528330***
-***2***0.8717949***0.1933870***
-***3***0.6153846***0.1691090***
-***4***0.5384615***0.2159580***
-***5***0.5952381***0.2054610***
-accuracy = 68.18	#leaves = 11.20	max depth = 7.00
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 82.05	#leaves = 4	max. depth = 3
+fold 2: acc. = 64.10	#leaves = 16	max. depth = 9
+fold 3: acc. = 61.54	#leaves = 17	max. depth = 6
+fold 4: acc. = 74.36	#leaves = 15	max. depth = 8
+fold 5: acc. = 73.81	#leaves = 18	max. depth = 10
+accuracy = 71.21	#leaves = 14.00	max depth = 7.20

data/oc1output/breast-cancer-wisc-prog_7.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 84.62	#leaves = 2	max. depth = 1
-fold 2: acc. = 79.49	#leaves = 15	max. depth = 5
-fold 3: acc. = 69.23	#leaves = 17	max. depth = 10
-fold 4: acc. = 74.36	#leaves = 17	max. depth = 6
-fold 5: acc. = 66.67	#leaves = 12	max. depth = 8
-***1***0.8461539***0.1551960***
-***2***0.7948718***0.1168600***
-***3***0.6923077***0.2053630***
-***4***0.7435897***0.1279160***
-***5***0.6666666***0.0972720***
-accuracy = 74.75	#leaves = 12.60	max depth = 6.00
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 87.18	#leaves = 3	max. depth = 2
+fold 2: acc. = 71.79	#leaves = 16	max. depth = 8
+fold 3: acc. = 66.67	#leaves = 21	max. depth = 13
+fold 4: acc. = 71.79	#leaves = 20	max. depth = 8
+fold 5: acc. = 64.29	#leaves = 19	max. depth = 10
+accuracy = 72.22	#leaves = 15.80	max depth = 8.20

data/oc1output/breast-cancer-wisc-prog_79.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 71.79	#leaves = 2	max. depth = 1
-fold 2: acc. = 74.36	#leaves = 14	max. depth = 7
-fold 3: acc. = 76.92	#leaves = 17	max. depth = 8
-fold 4: acc. = 74.36	#leaves = 14	max. depth = 5
-fold 5: acc. = 64.29	#leaves = 12	max. depth = 5
-***1***0.7179487***0.1882060***
-***2***0.7435897***0.1728460***
-***3***0.7692308***0.1776380***
-***4***0.7435897***0.1136050***
-***5***0.6428571***0.0698270***
-accuracy = 72.22	#leaves = 11.80	max depth = 5.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 66.67	#leaves = 2	max. depth = 1
+fold 2: acc. = 74.36	#leaves = 18	max. depth = 7
+fold 3: acc. = 64.10	#leaves = 20	max. depth = 9
+fold 4: acc. = 66.67	#leaves = 19	max. depth = 8
+fold 5: acc. = 61.90	#leaves = 16	max. depth = 7
+accuracy = 66.67	#leaves = 15.00	max depth = 6.40

data/oc1output/breast-cancer-wisc-prog_83.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 71.79	#leaves = 2	max. depth = 1
-fold 2: acc. = 74.36	#leaves = 15	max. depth = 7
-fold 3: acc. = 71.79	#leaves = 14	max. depth = 6
-fold 4: acc. = 69.23	#leaves = 10	max. depth = 6
-fold 5: acc. = 76.19	#leaves = 14	max. depth = 6
-***1***0.7179487***0.1613250***
-***2***0.7435897***0.1534450***
-***3***0.7179487***0.1228880***
-***4***0.6923077***0.1583100***
-***5***0.7619048***0.1170410***
-accuracy = 72.73	#leaves = 11.00	max depth = 5.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 64.10	#leaves = 5	max. depth = 3
+fold 2: acc. = 76.92	#leaves = 18	max. depth = 7
+fold 3: acc. = 74.36	#leaves = 21	max. depth = 9
+fold 4: acc. = 64.10	#leaves = 15	max. depth = 7
+fold 5: acc. = 73.81	#leaves = 16	max. depth = 7
+accuracy = 70.71	#leaves = 15.00	max depth = 6.60

data/oc1output/breast-cancer-wisc-prog_97.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc-prog.csv.dt.unpruned.
-fold 1: acc. = 79.49	#leaves = 2	max. depth = 1
-fold 2: acc. = 64.10	#leaves = 16	max. depth = 7
-fold 3: acc. = 64.10	#leaves = 15	max. depth = 8
-fold 4: acc. = 76.92	#leaves = 17	max. depth = 8
-fold 5: acc. = 80.95	#leaves = 18	max. depth = 7
-***1***0.7948718***0.1126540***
-***2***0.6410256***0.1116660***
-***3***0.6410256***0.1836210***
-***4***0.7692308***0.1835240***
-***5***0.8095238***0.1480360***
-accuracy = 73.23	#leaves = 13.60	max depth = 6.20
-
+Pruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc-prog.csv.dt.unpruned.
+fold 1: acc. = 71.79	#leaves = 2	max. depth = 1
+fold 2: acc. = 64.10	#leaves = 19	max. depth = 8
+fold 3: acc. = 69.23	#leaves = 18	max. depth = 8
+fold 4: acc. = 64.10	#leaves = 22	max. depth = 9
+fold 5: acc. = 71.43	#leaves = 18	max. depth = 8
+accuracy = 68.18	#leaves = 15.80	max depth = 6.80

data/oc1output/breast-cancer-wisc_1.txt

@@ -1,17 +1,10 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 94.24	#leaves = 2	max. depth = 1
-fold 2: acc. = 94.24	#leaves = 14	max. depth = 9
-fold 3: acc. = 91.37	#leaves = 16	max. depth = 10
-fold 4: acc. = 94.24	#leaves = 13	max. depth = 6
-fold 5: acc. = 92.31	#leaves = 16	max. depth = 7
-***1***0.9424461***0.2019030***
-***2***0.9424461***0.2041340***
-***3***0.9136690***0.2489090***
-***4***0.9424461***0.1580300***
-***5***0.9230769***0.2172140***
-accuracy = 93.28	#leaves = 12.20	max depth = 6.60
-
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+fold 1: acc. = 93.53	#leaves = 15	max. depth = 7
+fold 2: acc. = 95.68	#leaves = 16	max. depth = 8
+fold 3: acc. = 94.24	#leaves = 17	max. depth = 10
+fold 4: acc. = 93.53	#leaves = 16	max. depth = 7
+fold 5: acc. = 95.80	#leaves = 16	max. depth = 7
+accuracy = 94.56	#leaves = 16.00	max depth = 7.80

data/oc1output/breast-cancer-wisc_17.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 94.24	#leaves = 2	max. depth = 1
-fold 2: acc. = 94.96	#leaves = 15	max. depth = 9
-fold 3: acc. = 91.37	#leaves = 16	max. depth = 9
-fold 4: acc. = 94.24	#leaves = 14	max. depth = 8
-fold 5: acc. = 95.80	#leaves = 11	max. depth = 7
-***1***0.9424461***0.1704290***
-***2***0.9496403***0.1807310***
-***3***0.9136690***0.1791580***
-***4***0.9424461***0.2397700***
-***5***0.9580420***0.1952840***
-accuracy = 94.13	#leaves = 11.60	max depth = 6.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 95.68	#leaves = 2	max. depth = 1
+fold 2: acc. = 93.53	#leaves = 19	max. depth = 9
+fold 3: acc. = 94.96	#leaves = 15	max. depth = 8
+fold 4: acc. = 94.24	#leaves = 16	max. depth = 9
+fold 5: acc. = 96.50	#leaves = 14	max. depth = 7
+accuracy = 94.99	#leaves = 13.20	max depth = 6.80

data/oc1output/breast-cancer-wisc_1714.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 97.12	#leaves = 2	max. depth = 1
-fold 2: acc. = 94.96	#leaves = 12	max. depth = 9
-fold 3: acc. = 95.68	#leaves = 12	max. depth = 8
-fold 4: acc. = 91.37	#leaves = 10	max. depth = 6
-fold 5: acc. = 94.41	#leaves = 15	max. depth = 9
-***1***0.9712230***0.1575260***
-***2***0.9496403***0.1803960***
-***3***0.9568346***0.2108110***
-***4***0.9136690***0.1927210***
-***5***0.9440559***0.2109680***
-accuracy = 94.71	#leaves = 10.20	max depth = 6.60
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 95.68	#leaves = 2	max. depth = 1
+fold 2: acc. = 94.24	#leaves = 16	max. depth = 9
+fold 3: acc. = 92.81	#leaves = 12	max. depth = 6
+fold 4: acc. = 93.53	#leaves = 10	max. depth = 6
+fold 5: acc. = 93.71	#leaves = 16	max. depth = 11
+accuracy = 93.99	#leaves = 11.20	max depth = 6.60

data/oc1output/breast-cancer-wisc_23.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 94.96	#leaves = 3	max. depth = 2
-fold 2: acc. = 94.24	#leaves = 15	max. depth = 10
-fold 3: acc. = 94.96	#leaves = 15	max. depth = 7
-fold 4: acc. = 95.68	#leaves = 11	max. depth = 7
-fold 5: acc. = 91.61	#leaves = 13	max. depth = 8
-***1***0.9496403***0.1364490***
-***2***0.9424461***0.2291380***
-***3***0.9496403***0.1727160***
-***4***0.9568346***0.1520550***
-***5***0.9160839***0.1783750***
-accuracy = 94.28	#leaves = 11.40	max depth = 6.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 94.24	#leaves = 2	max. depth = 1
+fold 2: acc. = 91.37	#leaves = 19	max. depth = 10
+fold 3: acc. = 94.24	#leaves = 16	max. depth = 9
+fold 4: acc. = 94.24	#leaves = 14	max. depth = 7
+fold 5: acc. = 95.10	#leaves = 19	max. depth = 11
+accuracy = 93.85	#leaves = 14.00	max depth = 7.60

data/oc1output/breast-cancer-wisc_31.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 94.24	#leaves = 2	max. depth = 1
-fold 2: acc. = 91.37	#leaves = 17	max. depth = 9
-fold 3: acc. = 94.24	#leaves = 11	max. depth = 6
-fold 4: acc. = 97.84	#leaves = 13	max. depth = 7
-fold 5: acc. = 93.01	#leaves = 13	max. depth = 7
-***1***0.9424461***0.1652360***
-***2***0.9136690***0.2322710***
-***3***0.9424461***0.1874670***
-***4***0.9784173***0.1852260***
-***5***0.9300700***0.1773160***
-accuracy = 94.13	#leaves = 11.20	max depth = 6.00
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 94.96	#leaves = 2	max. depth = 1
+fold 2: acc. = 96.40	#leaves = 19	max. depth = 8
+fold 3: acc. = 94.96	#leaves = 15	max. depth = 8
+fold 4: acc. = 97.84	#leaves = 18	max. depth = 7
+fold 5: acc. = 93.71	#leaves = 18	max. depth = 9
+accuracy = 95.57	#leaves = 14.40	max depth = 6.60

data/oc1output/breast-cancer-wisc_57.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 92.09	#leaves = 2	max. depth = 1
-fold 2: acc. = 92.81	#leaves = 14	max. depth = 8
-fold 3: acc. = 93.53	#leaves = 12	max. depth = 7
-fold 4: acc. = 94.96	#leaves = 13	max. depth = 7
-fold 5: acc. = 91.61	#leaves = 17	max. depth = 10
-***1***0.9208633***0.2116620***
-***2***0.9280576***0.1697430***
-***3***0.9352518***0.1477900***
-***4***0.9496403***0.2343880***
-***5***0.9160839***0.2402100***
-accuracy = 92.99	#leaves = 11.60	max depth = 6.60
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 96.40	#leaves = 3	max. depth = 2
+fold 2: acc. = 94.96	#leaves = 16	max. depth = 8
+fold 3: acc. = 93.53	#leaves = 16	max. depth = 10
+fold 4: acc. = 94.24	#leaves = 15	max. depth = 8
+fold 5: acc. = 95.80	#leaves = 14	max. depth = 8
+accuracy = 94.99	#leaves = 12.80	max depth = 7.20

data/oc1output/breast-cancer-wisc_7.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 97.84	#leaves = 3	max. depth = 2
-fold 2: acc. = 95.68	#leaves = 18	max. depth = 9
-fold 3: acc. = 86.33	#leaves = 11	max. depth = 7
-fold 4: acc. = 90.65	#leaves = 10	max. depth = 7
-fold 5: acc. = 97.90	#leaves = 13	max. depth = 10
-***1***0.9784173***0.2569110***
-***2***0.9568346***0.2597000***
-***3***0.8633093***0.1897610***
-***4***0.9064748***0.1761110***
-***5***0.9790210***0.1665080***
-accuracy = 93.71	#leaves = 11.00	max depth = 7.00
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 97.12	#leaves = 2	max. depth = 1
+fold 2: acc. = 91.37	#leaves = 20	max. depth = 8
+fold 3: acc. = 91.37	#leaves = 13	max. depth = 7
+fold 4: acc. = 92.09	#leaves = 15	max. depth = 6
+fold 5: acc. = 96.50	#leaves = 18	max. depth = 10
+accuracy = 93.71	#leaves = 13.60	max depth = 6.40

data/oc1output/breast-cancer-wisc_79.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 93.53	#leaves = 4	max. depth = 3
-fold 2: acc. = 97.12	#leaves = 15	max. depth = 10
-fold 3: acc. = 94.96	#leaves = 12	max. depth = 9
-fold 4: acc. = 94.24	#leaves = 12	max. depth = 6
-fold 5: acc. = 95.10	#leaves = 11	max. depth = 6
-***1***0.9352518***0.1656890***
-***2***0.9712230***0.1955060***
-***3***0.9496403***0.1905780***
-***4***0.9424461***0.1897690***
-***5***0.9510490***0.1437360***
-accuracy = 94.99	#leaves = 10.80	max depth = 6.80
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 96.40	#leaves = 4	max. depth = 3
+fold 2: acc. = 94.96	#leaves = 19	max. depth = 11
+fold 3: acc. = 95.68	#leaves = 17	max. depth = 10
+fold 4: acc. = 92.09	#leaves = 14	max. depth = 7
+fold 5: acc. = 93.71	#leaves = 12	max. depth = 9
+accuracy = 94.56	#leaves = 13.20	max depth = 8.00

data/oc1output/breast-cancer-wisc_83.txt

@@ -1,17 +1,11 @@
 Remapping class numbers:
 	0 To 1
 	1 To 2
-Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
-Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
-fold 1: acc. = 94.96	#leaves = 2	max. depth = 1
-fold 2: acc. = 91.37	#leaves = 14	max. depth = 9
-fold 3: acc. = 92.81	#leaves = 13	max. depth = 7
-fold 4: acc. = 94.24	#leaves = 9	max. depth = 5
-fold 5: acc. = 94.41	#leaves = 13	max. depth = 6
-***1***0.9496403***0.2149980***
-***2***0.9136690***0.2006230***
-***3***0.9280576***0.1710670***
-***4***0.9424461***0.1504130***
-***5***0.9440559***0.1645050***
-accuracy = 93.56	#leaves = 10.20	max depth = 5.60
-
+Pruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.
+Unpruned decision tree written to data/csv/breast-cancer-wisc.csv.dt.unpruned.
+fold 1: acc. = 96.40	#leaves = 5	max. depth = 3
+fold 2: acc. = 94.96	#leaves = 19	max. depth = 10
+fold 3: acc. = 94.24	#leaves = 15	max. depth = 9
+fold 4: acc. = 92.81	#leaves = 12	max. depth = 8
+fold 5: acc. = 92.31	#leaves = 11	max. depth = 8
+accuracy = 94.13	#leaves = 12.40	max depth = 7.60