Add oc1 and cart models

Update analysis and report mysql

.gitignore

@@ -133,3 +133,4 @@ dmypy.json
 .pre-commit-config.yaml
 experimentation/.myconfig
 experimentation/.tunnel
+results

analysis_mysql.py

@@ -1,18 +1,40 @@
+import argparse
+from typing import Tuple
 from experimentation.Sets import Datasets
 from experimentation.Utils import TextColor
 from experimentation.Database import MySQL
 
-models = ["stree", "odte", "adaBoost", "bagging"]
+models = ["stree", "oc1", "cart", "odte", "adaBoost", "bagging"]
 title = "Best model results"
-lengths = (30, 9, 11, 11, 11, 11)
+lengths = (30, 9, 11, 11, 11, 11, 11, 11)
 
 
-def report_header_content(title):
+def parse_arguments() -> Tuple[str, str, str, bool, bool]:
+    ap = argparse.ArgumentParser()
+    ap.add_argument(
+        "-e",
+        "--experiment",
+        type=str,
+        choices=["any", "gridsearch", "crossval"],
+        required=False,
+        default="any",
+    )
+    args = ap.parse_args()
+    return args.experiment
+
+
+def report_header_content(title, experiment):
     length = sum(lengths) + len(lengths) - 1
     output = "\n" + "*" * length + "\n"
-    num = (length - len(title) - 2) // 2
-    num2 = length - len(title) - 2 - 2 * num
-    output += "*" + " " * num + title + " " * (num + num2) + "*\n"
+    num = (length - len(title) - len(experiment) - 2) // 2
+    num2 = length - len(title) - len(experiment) - 5 - 2 * num
+    output += (
+        "*"
+        + " " * num
+        + f"{title} - {experiment}"
+        + " " * (num + num2)
+        + "*\n"
+    )
     output += "*" * length + "\n\n"
     lines = ""
     for item, data in enumerate(fields):
@@ -22,8 +44,12 @@ def report_header_content(title):
     return output
 
 
-def report_header(exclude_params):
-    print(TextColor.HEADER + report_header_content(title) + TextColor.ENDC)
+def report_header(title, experiment):
+    print(
+        TextColor.HEADER
+        + report_header_content(title, experiment)
+        + TextColor.ENDC
+    )
 
 
 def report_line(line):
@@ -59,13 +85,14 @@ def report_footer(agg):
         )
 
 
+experiment = parse_arguments()
 dbh = MySQL()
 database = dbh.get_connection()
 dt = Datasets(False, False, "tanveer")
 fields = ("Dataset", "Reference")
 for model in models:
     fields += (f"{model}",)
-report_header(title)
+report_header(title, experiment)
 color = TextColor.LINE1
 agg = {}
 for item in [
@@ -78,15 +105,16 @@ for item in [
     agg[item]["worse"] = 0
 for dataset in dt:
     find_one = False
+    # Look for max accuracy for any given dataset
     line = {"dataset": color + dataset[0]}
-    record = dbh.find_best(dataset[0], "any")
+    record = dbh.find_best(dataset[0], "any", experiment)
     max_accuracy = 0.0 if record is None else record[5]
     for model in models:
-        record = dbh.find_best(dataset[0], model)
+        record = dbh.find_best(dataset[0], model, experiment)
         if record is None:
             line[model] = color + "-" * 9 + "  "
         else:
-            reference = record[10]
+            reference = record[13]
             accuracy = record[5]
             find_one = True
             agg[model]["items"] += 1

data/oc1output/balance-scale.txt

@@ -0,0 +1,12 @@
+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 = 16	max. depth = 9
+fold 2: acc. = 86.40	#leaves = 30	max. depth = 9
+fold 3: acc. = 96.00	#leaves = 20	max. depth = 8
+fold 4: acc. = 92.80	#leaves = 17	max. depth = 5
+fold 5: acc. = 94.40	#leaves = 22	max. depth = 7
+accuracy = 92.16	#leaves = 21.00	max depth = 7.60
+.79400000000000000000

data/oc1output/balloons.txt

@@ -0,0 +1,11 @@
+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. = 66.67	#leaves = 2	max. depth = 1
+fold 2: acc. = 66.67	#leaves = 2	max. depth = 1
+fold 3: acc. = 100.00	#leaves = 4	max. depth = 3
+fold 4: acc. = 100.00	#leaves = 4	max. depth = 3
+fold 5: acc. = 50.00	#leaves = 2	max. depth = 1
+accuracy = 75.00	#leaves = 2.80	max depth = 1.80
+.00400000000000000000

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

@@ -0,0 +1,11 @@
+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. = 92.92	#leaves = 12	max. depth = 6
+fold 2: acc. = 94.69	#leaves = 11	max. depth = 5
+fold 3: acc. = 92.92	#leaves = 12	max. depth = 5
+fold 4: acc. = 92.04	#leaves = 15	max. depth = 7
+fold 5: acc. = 91.45	#leaves = 7	max. depth = 3
+accuracy = 92.79	#leaves = 11.40	max depth = 5.20
+1.91800000000000000000

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

@@ -0,0 +1,12 @@
+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. = 71.79	#leaves = 13	max. depth = 10
+fold 3: acc. = 82.05	#leaves = 17	max. depth = 7
+fold 4: acc. = 51.28	#leaves = 16	max. depth = 7
+fold 5: acc. = 78.57	#leaves = 14	max. depth = 8
+accuracy = 73.23	#leaves = 12.40	max depth = 6.60
+.92700000000000000000

data/oc1output/breast-cancer-wisc.txt

@@ -0,0 +1,12 @@
+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. = 95.68	#leaves = 4	max. depth = 3
+fold 2: acc. = 93.53	#leaves = 11	max. depth = 7
+fold 3: acc. = 94.24	#leaves = 12	max. depth = 9
+fold 4: acc. = 95.68	#leaves = 15	max. depth = 7
+fold 5: acc. = 94.41	#leaves = 13	max. depth = 8
+accuracy = 94.71	#leaves = 11.00	max depth = 6.80
+1.02400000000000000000

data/oc1output/breast-cancer.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/breast-cancer.csv.dt.
+Unpruned decision tree written to csv/breast-cancer.csv.dt.unpruned.
+fold 1: acc. = 64.91	#leaves = 4	max. depth = 3
+fold 2: acc. = 56.14	#leaves = 40	max. depth = 12
+fold 3: acc. = 64.91	#leaves = 24	max. depth = 8
+fold 4: acc. = 64.91	#leaves = 37	max. depth = 10
+fold 5: acc. = 70.69	#leaves = 32	max. depth = 10
+accuracy = 64.34	#leaves = 27.40	max depth = 8.60
+.39700000000000000000

data/oc1output/cardiotocography-10clases.txt

@@ -0,0 +1,19 @@
+Remapping class numbers:
+	8 To 1
+	5 To 2
+	1 To 3
+	7 To 4
+	9 To 5
+	0 To 7
+	2 To 8
+	4 To 9
+	3 To 10
+Pruned decision tree written to csv/cardiotocography-10clases.csv.dt.
+Unpruned decision tree written to csv/cardiotocography-10clases.csv.dt.unpruned.
+fold 1: acc. = 78.12	#leaves = 19	max. depth = 7
+fold 2: acc. = 78.35	#leaves = 144	max. depth = 15
+fold 3: acc. = 79.29	#leaves = 134	max. depth = 12
+fold 4: acc. = 77.65	#leaves = 138	max. depth = 14
+fold 5: acc. = 80.28	#leaves = 146	max. depth = 14
+accuracy = 78.74	#leaves = 116.20	max depth = 12.40
+20.41800000000000000000

data/oc1output/cardiotocography-3clases.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 2
+	2 To 3
+Pruned decision tree written to csv/cardiotocography-3clases.csv.dt.
+Unpruned decision tree written to csv/cardiotocography-3clases.csv.dt.unpruned.
+fold 1: acc. = 88.47	#leaves = 14	max. depth = 7
+fold 2: acc. = 91.06	#leaves = 63	max. depth = 12
+fold 3: acc. = 91.76	#leaves = 59	max. depth = 10
+fold 4: acc. = 89.41	#leaves = 58	max. depth = 14
+fold 5: acc. = 90.85	#leaves = 55	max. depth = 12
+accuracy = 90.31	#leaves = 49.80	max depth = 11.00
+11.24900000000000000000

data/oc1output/conn-bench-sonar-mines-rocks.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/conn-bench-sonar-mines-rocks.csv.dt.
+Unpruned decision tree written to csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
+fold 1: acc. = 68.29	#leaves = 2	max. depth = 1
+fold 2: acc. = 70.73	#leaves = 21	max. depth = 9
+fold 3: acc. = 78.05	#leaves = 16	max. depth = 8
+fold 4: acc. = 65.85	#leaves = 12	max. depth = 6
+fold 5: acc. = 65.91	#leaves = 15	max. depth = 6
+accuracy = 69.71	#leaves = 13.20	max depth = 6.00
+.52500000000000000000

data/oc1output/cylinder-bands.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/cylinder-bands.csv.dt.
+Unpruned decision tree written to csv/cylinder-bands.csv.dt.unpruned.
+fold 1: acc. = 72.55	#leaves = 12	max. depth = 5
+fold 2: acc. = 54.90	#leaves = 41	max. depth = 9
+fold 3: acc. = 65.69	#leaves = 35	max. depth = 10
+fold 4: acc. = 68.63	#leaves = 43	max. depth = 12
+fold 5: acc. = 65.38	#leaves = 35	max. depth = 10
+accuracy = 65.43	#leaves = 33.20	max depth = 9.20
+2.12700000000000000000

data/oc1output/dermatology.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	0 To 2
+	2 To 3
+	3 To 5
+	5 To 6
+Unpruned decision tree written to csv/dermatology.csv.dt.
+fold 1: acc. = 98.63	#leaves = 6	max. depth = 3
+fold 2: acc. = 97.26	#leaves = 6	max. depth = 3
+fold 3: acc. = 93.15	#leaves = 6	max. depth = 3
+fold 4: acc. = 93.15	#leaves = 9	max. depth = 6
+fold 5: acc. = 97.30	#leaves = 8	max. depth = 5
+accuracy = 95.90	#leaves = 7.00	max depth = 4.00
+.54800000000000000000

data/oc1output/echocardiogram.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/echocardiogram.csv.dt.
+Unpruned decision tree written to csv/echocardiogram.csv.dt.unpruned.
+fold 1: acc. = 84.62	#leaves = 2	max. depth = 1
+fold 2: acc. = 65.38	#leaves = 10	max. depth = 5
+fold 3: acc. = 73.08	#leaves = 8	max. depth = 4
+fold 4: acc. = 61.54	#leaves = 12	max. depth = 7
+fold 5: acc. = 66.67	#leaves = 10	max. depth = 5
+accuracy = 70.23	#leaves = 8.40	max depth = 4.40
+.11500000000000000000

data/oc1output/fertility.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/fertility.csv.dt.
+Unpruned decision tree written to csv/fertility.csv.dt.unpruned.
+fold 1: acc. = 95.00	#leaves = 2	max. depth = 1
+fold 2: acc. = 70.00	#leaves = 8	max. depth = 4
+fold 3: acc. = 75.00	#leaves = 5	max. depth = 3
+fold 4: acc. = 80.00	#leaves = 9	max. depth = 5
+fold 5: acc. = 75.00	#leaves = 7	max. depth = 4
+accuracy = 79.00	#leaves = 6.20	max depth = 3.40
+.05600000000000000000

data/oc1output/haberman-survival.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/haberman-survival.csv.dt.
+Unpruned decision tree written to csv/haberman-survival.csv.dt.unpruned.
+fold 1: acc. = 73.77	#leaves = 2	max. depth = 1
+fold 2: acc. = 60.66	#leaves = 41	max. depth = 13
+fold 3: acc. = 70.49	#leaves = 39	max. depth = 11
+fold 4: acc. = 73.77	#leaves = 39	max. depth = 10
+fold 5: acc. = 61.29	#leaves = 41	max. depth = 9
+accuracy = 67.97	#leaves = 32.40	max depth = 8.80
+.31700000000000000000

data/oc1output/heart-hungarian.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/heart-hungarian.csv.dt.
+Unpruned decision tree written to csv/heart-hungarian.csv.dt.unpruned.
+fold 1: acc. = 86.21	#leaves = 4	max. depth = 3
+fold 2: acc. = 67.24	#leaves = 19	max. depth = 6
+fold 3: acc. = 68.97	#leaves = 30	max. depth = 9
+fold 4: acc. = 74.14	#leaves = 26	max. depth = 9
+fold 5: acc. = 74.19	#leaves = 19	max. depth = 7
+accuracy = 74.15	#leaves = 19.60	max depth = 6.80
+.48400000000000000000

data/oc1output/hepatitis.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/hepatitis.csv.dt.
+Unpruned decision tree written to csv/hepatitis.csv.dt.unpruned.
+fold 1: acc. = 74.19	#leaves = 2	max. depth = 1
+fold 2: acc. = 74.19	#leaves = 8	max. depth = 4
+fold 3: acc. = 70.97	#leaves = 11	max. depth = 4
+fold 4: acc. = 80.65	#leaves = 10	max. depth = 4
+fold 5: acc. = 77.42	#leaves = 12	max. depth = 5
+accuracy = 75.48	#leaves = 8.60	max depth = 3.60
+.20400000000000000000

data/oc1output/ilpd-indian-liver.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/ilpd-indian-liver.csv.dt.
+Unpruned decision tree written to csv/ilpd-indian-liver.csv.dt.unpruned.
+fold 1: acc. = 71.55	#leaves = 10	max. depth = 7
+fold 2: acc. = 70.69	#leaves = 49	max. depth = 12
+fold 3: acc. = 68.10	#leaves = 46	max. depth = 12
+fold 4: acc. = 66.38	#leaves = 50	max. depth = 13
+fold 5: acc. = 64.71	#leaves = 53	max. depth = 13
+accuracy = 68.27	#leaves = 41.60	max depth = 11.40
+1.60900000000000000000

data/oc1output/ionosphere.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/ionosphere.csv.dt.
+Unpruned decision tree written to csv/ionosphere.csv.dt.unpruned.
+fold 1: acc. = 87.14	#leaves = 3	max. depth = 2
+fold 2: acc. = 81.43	#leaves = 17	max. depth = 7
+fold 3: acc. = 84.29	#leaves = 14	max. depth = 7
+fold 4: acc. = 92.86	#leaves = 9	max. depth = 5
+fold 5: acc. = 92.96	#leaves = 12	max. depth = 8
+accuracy = 87.75	#leaves = 11.00	max depth = 5.80
+1.23400000000000000000

data/oc1output/iris.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+Unpruned decision tree written to csv/iris.csv.dt.
+fold 1: acc. = 90.00	#leaves = 3	max. depth = 2
+fold 2: acc. = 96.67	#leaves = 4	max. depth = 3
+fold 3: acc. = 93.33	#leaves = 5	max. depth = 4
+fold 4: acc. = 96.67	#leaves = 5	max. depth = 4
+fold 5: acc. = 93.33	#leaves = 5	max. depth = 4
+accuracy = 94.00	#leaves = 4.40	max depth = 3.40
+.08200000000000000000

data/oc1output/led-display.txt

@@ -0,0 +1,19 @@
+Remapping class numbers:
+	7 To 1
+	5 To 3
+	0 To 4
+	4 To 5
+	9 To 6
+	8 To 7
+	6 To 8
+	3 To 9
+	1 To 10
+Pruned decision tree written to csv/led-display.csv.dt.
+Unpruned decision tree written to csv/led-display.csv.dt.unpruned.
+fold 1: acc. = 66.50	#leaves = 14	max. depth = 6
+fold 2: acc. = 74.50	#leaves = 61	max. depth = 9
+fold 3: acc. = 68.00	#leaves = 61	max. depth = 8
+fold 4: acc. = 63.50	#leaves = 62	max. depth = 8
+fold 5: acc. = 67.50	#leaves = 59	max. depth = 8
+accuracy = 68.00	#leaves = 51.40	max depth = 7.80
+1.46800000000000000000

data/oc1output/libras.txt

@@ -0,0 +1,25 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+	3 To 4
+	4 To 5
+	5 To 6
+	6 To 7
+	7 To 8
+	8 To 9
+	9 To 10
+	10 To 11
+	11 To 12
+	12 To 13
+	13 To 14
+	14 To 15
+Pruned decision tree written to csv/libras.csv.dt.
+Unpruned decision tree written to csv/libras.csv.dt.unpruned.
+fold 1: acc. = 65.28	#leaves = 22	max. depth = 6
+fold 2: acc. = 58.33	#leaves = 61	max. depth = 9
+fold 3: acc. = 61.11	#leaves = 57	max. depth = 8
+fold 4: acc. = 62.50	#leaves = 61	max. depth = 9
+fold 5: acc. = 62.50	#leaves = 62	max. depth = 10
+accuracy = 61.94	#leaves = 52.60	max depth = 8.40
+2.56300000000000000000

data/oc1output/low-res-spect.txt

@@ -0,0 +1,18 @@
+Remapping class numbers:
+	7 To 2
+	8 To 3
+	0 To 4
+	3 To 5
+	2 To 6
+	6 To 7
+	5 To 8
+	4 To 9
+Pruned decision tree written to csv/low-res-spect.csv.dt.
+Unpruned decision tree written to csv/low-res-spect.csv.dt.unpruned.
+fold 1: acc. = 76.42	#leaves = 9	max. depth = 5
+fold 2: acc. = 85.85	#leaves = 35	max. depth = 8
+fold 3: acc. = 84.91	#leaves = 34	max. depth = 7
+fold 4: acc. = 83.96	#leaves = 35	max. depth = 8
+fold 5: acc. = 83.18	#leaves = 36	max. depth = 7
+accuracy = 82.86	#leaves = 29.80	max depth = 7.00
+5.99000000000000000000

data/oc1output/lymphography.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	2 To 1
+	1 To 2
+	0 To 4
+Pruned decision tree written to csv/lymphography.csv.dt.
+Unpruned decision tree written to csv/lymphography.csv.dt.unpruned.
+fold 1: acc. = 75.86	#leaves = 4	max. depth = 3
+fold 2: acc. = 68.97	#leaves = 11	max. depth = 6
+fold 3: acc. = 79.31	#leaves = 10	max. depth = 4
+fold 4: acc. = 75.86	#leaves = 11	max. depth = 5
+fold 5: acc. = 65.62	#leaves = 15	max. depth = 5
+accuracy = 72.97	#leaves = 10.20	max depth = 4.60
+.21600000000000000000

data/oc1output/mammographic.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/mammographic.csv.dt.
+Unpruned decision tree written to csv/mammographic.csv.dt.unpruned.
+fold 1: acc. = 83.85	#leaves = 2	max. depth = 1
+fold 2: acc. = 73.44	#leaves = 106	max. depth = 19
+fold 3: acc. = 75.00	#leaves = 104	max. depth = 21
+fold 4: acc. = 78.65	#leaves = 110	max. depth = 13
+fold 5: acc. = 72.54	#leaves = 98	max. depth = 14
+accuracy = 76.69	#leaves = 84.00	max depth = 13.60
+2.02400000000000000000

data/oc1output/molec-biol-promoter.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/molec-biol-promoter.csv.dt.
+Unpruned decision tree written to csv/molec-biol-promoter.csv.dt.unpruned.
+fold 1: acc. = 66.67	#leaves = 4	max. depth = 3
+fold 2: acc. = 61.90	#leaves = 13	max. depth = 5
+fold 3: acc. = 71.43	#leaves = 11	max. depth = 5
+fold 4: acc. = 66.67	#leaves = 10	max. depth = 5
+fold 5: acc. = 68.18	#leaves = 11	max. depth = 4
+accuracy = 66.98	#leaves = 9.80	max depth = 4.40
+.01800000000000000000

data/oc1output/musk-1.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/musk-1.csv.dt.
+Unpruned decision tree written to csv/musk-1.csv.dt.unpruned.
+fold 1: acc. = 80.00	#leaves = 14	max. depth = 11
+fold 2: acc. = 83.16	#leaves = 29	max. depth = 9
+fold 3: acc. = 80.00	#leaves = 30	max. depth = 11
+fold 4: acc. = 81.05	#leaves = 34	max. depth = 14
+fold 5: acc. = 80.21	#leaves = 34	max. depth = 16
+accuracy = 80.88	#leaves = 28.20	max depth = 12.20
+3.84800000000000000000

data/oc1output/oocytes_merluccius_nucleus_4d.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/oocytes_merluccius_nucleus_4d.csv.dt.
+Unpruned decision tree written to csv/oocytes_merluccius_nucleus_4d.csv.dt.unpruned.
+fold 1: acc. = 83.82	#leaves = 38	max. depth = 11
+fold 2: acc. = 74.02	#leaves = 81	max. depth = 12
+fold 3: acc. = 71.57	#leaves = 84	max. depth = 13
+fold 4: acc. = 73.53	#leaves = 88	max. depth = 12
+fold 5: acc. = 68.45	#leaves = 85	max. depth = 13
+accuracy = 74.27	#leaves = 75.20	max depth = 12.20
+7.67300000000000000000

data/oc1output/oocytes_merluccius_states_2f.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	2 To 1
+	1 To 2
+	0 To 3
+Pruned decision tree written to csv/oocytes_merluccius_states_2f.csv.dt.
+Unpruned decision tree written to csv/oocytes_merluccius_states_2f.csv.dt.unpruned.
+fold 1: acc. = 88.24	#leaves = 5	max. depth = 3
+fold 2: acc. = 87.75	#leaves = 35	max. depth = 9
+fold 3: acc. = 90.69	#leaves = 41	max. depth = 9
+fold 4: acc. = 87.25	#leaves = 35	max. depth = 12
+fold 5: acc. = 85.92	#leaves = 34	max. depth = 11
+accuracy = 87.96	#leaves = 30.00	max depth = 8.80
+5.23000000000000000000

data/oc1output/oocytes_trisopterus_nucleus_2f.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/oocytes_trisopterus_nucleus_2f.csv.dt.
+Unpruned decision tree written to csv/oocytes_trisopterus_nucleus_2f.csv.dt.unpruned.
+fold 1: acc. = 75.82	#leaves = 17	max. depth = 8
+fold 2: acc. = 73.63	#leaves = 55	max. depth = 12
+fold 3: acc. = 70.33	#leaves = 70	max. depth = 15
+fold 4: acc. = 70.33	#leaves = 59	max. depth = 10
+fold 5: acc. = 74.46	#leaves = 70	max. depth = 11
+accuracy = 72.92	#leaves = 54.20	max depth = 11.20
+4.95800000000000000000

data/oc1output/oocytes_trisopterus_states_5b.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 2
+	2 To 3
+Pruned decision tree written to csv/oocytes_trisopterus_states_5b.csv.dt.
+Unpruned decision tree written to csv/oocytes_trisopterus_states_5b.csv.dt.unpruned.
+fold 1: acc. = 86.81	#leaves = 7	max. depth = 4
+fold 2: acc. = 84.62	#leaves = 45	max. depth = 19
+fold 3: acc. = 84.07	#leaves = 41	max. depth = 12
+fold 4: acc. = 93.96	#leaves = 48	max. depth = 16
+fold 5: acc. = 81.52	#leaves = 42	max. depth = 12
+accuracy = 86.18	#leaves = 36.60	max depth = 12.60
+7.58400000000000000000

data/oc1output/parkinsons.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/parkinsons.csv.dt.
+Unpruned decision tree written to csv/parkinsons.csv.dt.unpruned.
+fold 1: acc. = 89.74	#leaves = 4	max. depth = 3
+fold 2: acc. = 92.31	#leaves = 7	max. depth = 4
+fold 3: acc. = 84.62	#leaves = 8	max. depth = 6
+fold 4: acc. = 76.92	#leaves = 8	max. depth = 6
+fold 5: acc. = 89.74	#leaves = 7	max. depth = 5
+accuracy = 86.67	#leaves = 6.80	max depth = 4.80
+.47200000000000000000

data/oc1output/pima.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/pima.csv.dt.
+Unpruned decision tree written to csv/pima.csv.dt.unpruned.
+fold 1: acc. = 71.90	#leaves = 6	max. depth = 5
+fold 2: acc. = 70.59	#leaves = 70	max. depth = 11
+fold 3: acc. = 70.59	#leaves = 61	max. depth = 12
+fold 4: acc. = 71.24	#leaves = 67	max. depth = 11
+fold 5: acc. = 66.67	#leaves = 60	max. depth = 13
+accuracy = 70.18	#leaves = 52.80	max depth = 10.40
+1.88100000000000000000

data/oc1output/pittsburg-bridges-MATERIAL.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+Pruned decision tree written to csv/pittsburg-bridges-MATERIAL.csv.dt.
+Unpruned decision tree written to csv/pittsburg-bridges-MATERIAL.csv.dt.unpruned.
+fold 1: acc. = 71.43	#leaves = 3	max. depth = 2
+fold 2: acc. = 61.90	#leaves = 8	max. depth = 5
+fold 3: acc. = 80.95	#leaves = 8	max. depth = 4
+fold 4: acc. = 85.71	#leaves = 12	max. depth = 6
+fold 5: acc. = 95.45	#leaves = 9	max. depth = 5
+accuracy = 79.25	#leaves = 8.00	max depth = 4.40
+.07500000000000000000

data/oc1output/pittsburg-bridges-REL-L.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+Pruned decision tree written to csv/pittsburg-bridges-REL-L.csv.dt.
+Unpruned decision tree written to csv/pittsburg-bridges-REL-L.csv.dt.unpruned.
+fold 1: acc. = 70.00	#leaves = 3	max. depth = 2
+fold 2: acc. = 70.00	#leaves = 17	max. depth = 8
+fold 3: acc. = 70.00	#leaves = 16	max. depth = 7
+fold 4: acc. = 70.00	#leaves = 12	max. depth = 4
+fold 5: acc. = 60.87	#leaves = 14	max. depth = 7
+accuracy = 67.96	#leaves = 12.40	max depth = 5.60
+.12200000000000000000

data/oc1output/pittsburg-bridges-SPAN.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+Pruned decision tree written to csv/pittsburg-bridges-SPAN.csv.dt.
+Unpruned decision tree written to csv/pittsburg-bridges-SPAN.csv.dt.unpruned.
+fold 1: acc. = 55.56	#leaves = 2	max. depth = 1
+fold 2: acc. = 72.22	#leaves = 19	max. depth = 8
+fold 3: acc. = 61.11	#leaves = 15	max. depth = 7
+fold 4: acc. = 50.00	#leaves = 9	max. depth = 5
+fold 5: acc. = 70.00	#leaves = 11	max. depth = 6
+accuracy = 61.96	#leaves = 11.20	max depth = 5.40
+.10200000000000000000

data/oc1output/pittsburg-bridges-T-OR-D.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/pittsburg-bridges-T-OR-D.csv.dt.
+Unpruned decision tree written to csv/pittsburg-bridges-T-OR-D.csv.dt.unpruned.
+fold 1: acc. = 65.00	#leaves = 2	max. depth = 1
+fold 2: acc. = 75.00	#leaves = 9	max. depth = 6
+fold 3: acc. = 85.00	#leaves = 8	max. depth = 5
+fold 4: acc. = 85.00	#leaves = 9	max. depth = 6
+fold 5: acc. = 81.82	#leaves = 9	max. depth = 5
+accuracy = 78.43	#leaves = 7.40	max depth = 4.60
+.08400000000000000000

data/oc1output/planning.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/planning.csv.dt.
+Unpruned decision tree written to csv/planning.csv.dt.unpruned.
+fold 1: acc. = 75.00	#leaves = 2	max. depth = 1
+fold 2: acc. = 61.11	#leaves = 20	max. depth = 9
+fold 3: acc. = 58.33	#leaves = 23	max. depth = 8
+fold 4: acc. = 63.89	#leaves = 22	max. depth = 7
+fold 5: acc. = 55.26	#leaves = 22	max. depth = 8
+accuracy = 62.64	#leaves = 17.80	max depth = 6.60
+.35900000000000000000

data/oc1output/post-operative.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 3
+Pruned decision tree written to csv/post-operative.csv.dt.
+Unpruned decision tree written to csv/post-operative.csv.dt.unpruned.
+fold 1: acc. = 72.22	#leaves = 8	max. depth = 4
+fold 2: acc. = 50.00	#leaves = 20	max. depth = 7
+fold 3: acc. = 55.56	#leaves = 17	max. depth = 9
+fold 4: acc. = 55.56	#leaves = 13	max. depth = 5
+fold 5: acc. = 61.11	#leaves = 16	max. depth = 8
+accuracy = 58.89	#leaves = 14.80	max depth = 6.60
+.09100000000000000000

data/oc1output/seeds.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+Pruned decision tree written to csv/seeds.csv.dt.
+Unpruned decision tree written to csv/seeds.csv.dt.unpruned.
+fold 1: acc. = 95.24	#leaves = 3	max. depth = 2
+fold 2: acc. = 95.24	#leaves = 6	max. depth = 5
+fold 3: acc. = 92.86	#leaves = 4	max. depth = 3
+fold 4: acc. = 92.86	#leaves = 7	max. depth = 5
+fold 5: acc. = 92.86	#leaves = 6	max. depth = 3
+accuracy = 93.81	#leaves = 5.20	max depth = 3.60
+.17400000000000000000

data/oc1output/statlog-australian-credit.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/statlog-australian-credit.csv.dt.
+Unpruned decision tree written to csv/statlog-australian-credit.csv.dt.unpruned.
+fold 1: acc. = 60.14	#leaves = 3	max. depth = 2
+fold 2: acc. = 59.42	#leaves = 64	max. depth = 12
+fold 3: acc. = 57.97	#leaves = 61	max. depth = 12
+fold 4: acc. = 59.42	#leaves = 66	max. depth = 13
+fold 5: acc. = 59.42	#leaves = 58	max. depth = 13
+accuracy = 59.28	#leaves = 50.40	max depth = 10.40
+2.20300000000000000000

data/oc1output/statlog-german-credit.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/statlog-german-credit.csv.dt.
+Unpruned decision tree written to csv/statlog-german-credit.csv.dt.unpruned.
+fold 1: acc. = 70.50	#leaves = 2	max. depth = 1
+fold 2: acc. = 65.00	#leaves = 81	max. depth = 14
+fold 3: acc. = 71.50	#leaves = 69	max. depth = 12
+fold 4: acc. = 67.00	#leaves = 67	max. depth = 12
+fold 5: acc. = 61.50	#leaves = 64	max. depth = 14
+accuracy = 67.10	#leaves = 56.60	max depth = 10.60
+4.37200000000000000000

data/oc1output/statlog-heart.txt

@@ -0,0 +1,10 @@
+Remapping class numbers:
+	0 To 2
+Unpruned decision tree written to csv/statlog-heart.csv.dt.
+fold 1: acc. = 74.07	#leaves = 13	max. depth = 7
+fold 2: acc. = 81.48	#leaves = 15	max. depth = 7
+fold 3: acc. = 68.52	#leaves = 15	max. depth = 9
+fold 4: acc. = 74.07	#leaves = 16	max. depth = 6
+fold 5: acc. = 61.11	#leaves = 14	max. depth = 6
+accuracy = 71.85	#leaves = 14.60	max depth = 7.00
+.43200000000000000000

data/oc1output/statlog-image.txt

@@ -0,0 +1,16 @@
+Remapping class numbers:
+	5 To 1
+	1 To 3
+	6 To 4
+	0 To 5
+	3 To 6
+	4 To 7
+Pruned decision tree written to csv/statlog-image.csv.dt.
+Unpruned decision tree written to csv/statlog-image.csv.dt.unpruned.
+fold 1: acc. = 94.16	#leaves = 38	max. depth = 8
+fold 2: acc. = 96.32	#leaves = 40	max. depth = 12
+fold 3: acc. = 92.86	#leaves = 49	max. depth = 10
+fold 4: acc. = 96.54	#leaves = 44	max. depth = 11
+fold 5: acc. = 92.21	#leaves = 44	max. depth = 9
+accuracy = 94.42	#leaves = 43.00	max depth = 10.00
+11.76100000000000000000

data/oc1output/statlog-vehicle.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	3 To 1
+	0 To 3
+	1 To 4
+Unpruned decision tree written to csv/statlog-vehicle.csv.dt.
+fold 1: acc. = 71.01	#leaves = 75	max. depth = 13
+fold 2: acc. = 77.51	#leaves = 81	max. depth = 15
+fold 3: acc. = 66.86	#leaves = 76	max. depth = 12
+fold 4: acc. = 74.56	#leaves = 76	max. depth = 13
+fold 5: acc. = 68.82	#leaves = 65	max. depth = 13
+accuracy = 71.75	#leaves = 74.60	max depth = 13.20
+4.58300000000000000000

data/oc1output/synthetic-control.txt

@@ -0,0 +1,16 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+	3 To 4
+	4 To 5
+	5 To 6
+Pruned decision tree written to csv/synthetic-control.csv.dt.
+Unpruned decision tree written to csv/synthetic-control.csv.dt.unpruned.
+fold 1: acc. = 82.50	#leaves = 11	max. depth = 6
+fold 2: acc. = 85.83	#leaves = 21	max. depth = 7
+fold 3: acc. = 83.33	#leaves = 21	max. depth = 6
+fold 4: acc. = 82.50	#leaves = 24	max. depth = 6
+fold 5: acc. = 81.67	#leaves = 25	max. depth = 7
+accuracy = 83.17	#leaves = 20.40	max depth = 6.40
+7.25500000000000000000

data/oc1output/tic-tac-toe.txt

@@ -0,0 +1,11 @@
+Remapping class numbers:
+	0 To 2
+Pruned decision tree written to csv/tic-tac-toe.csv.dt.
+Unpruned decision tree written to csv/tic-tac-toe.csv.dt.unpruned.
+fold 1: acc. = 91.62	#leaves = 11	max. depth = 5
+fold 2: acc. = 91.62	#leaves = 21	max. depth = 8
+fold 3: acc. = 89.01	#leaves = 28	max. depth = 11
+fold 4: acc. = 94.24	#leaves = 25	max. depth = 9
+fold 5: acc. = 94.33	#leaves = 21	max. depth = 8
+accuracy = 92.17	#leaves = 21.20	max depth = 8.20
+1.75200000000000000000

data/oc1output/vertebral-column-2clases.txt

@@ -0,0 +1,12 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+Pruned decision tree written to csv/vertebral-column-2clases.csv.dt.
+Unpruned decision tree written to csv/vertebral-column-2clases.csv.dt.unpruned.
+fold 1: acc. = 87.10	#leaves = 5	max. depth = 4
+fold 2: acc. = 72.58	#leaves = 19	max. depth = 7
+fold 3: acc. = 79.03	#leaves = 21	max. depth = 8
+fold 4: acc. = 80.65	#leaves = 18	max. depth = 7
+fold 5: acc. = 82.26	#leaves = 19	max. depth = 7
+accuracy = 80.32	#leaves = 16.40	max depth = 6.60
+.38200000000000000000

data/oc1output/wine.txt

@@ -0,0 +1,13 @@
+Remapping class numbers:
+	0 To 1
+	1 To 2
+	2 To 3
+Pruned decision tree written to csv/wine.csv.dt.
+Unpruned decision tree written to csv/wine.csv.dt.unpruned.
+fold 1: acc. = 85.71	#leaves = 3	max. depth = 2
+fold 2: acc. = 94.29	#leaves = 4	max. depth = 3
+fold 3: acc. = 97.14	#leaves = 4	max. depth = 3
+fold 4: acc. = 94.29	#leaves = 4	max. depth = 3
+fold 5: acc. = 92.11	#leaves = 4	max. depth = 3
+accuracy = 92.70	#leaves = 3.80	max depth = 2.80
+.17000000000000000000

data/oc1output/zoo.txt

@@ -0,0 +1,16 @@
+Remapping class numbers:
+	0 To 1
+	3 To 2
+	1 To 3
+	6 To 4
+	4 To 6
+	2 To 7
+Pruned decision tree written to csv/zoo.csv.dt.
+Unpruned decision tree written to csv/zoo.csv.dt.unpruned.
+fold 1: acc. = 85.00	#leaves = 5	max. depth = 4
+fold 2: acc. = 80.00	#leaves = 9	max. depth = 6
+fold 3: acc. = 85.00	#leaves = 7	max. depth = 4
+fold 4: acc. = 90.00	#leaves = 10	max. depth = 7
+fold 5: acc. = 85.71	#leaves = 10	max. depth = 7
+accuracy = 85.15	#leaves = 8.20	max depth = 5.60
+.07500000000000000000