Update oc1 accuracy and time (mean & std)

data/oc1output/balance-scale.txt

@@ -8,5 +8,9 @@ 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
+***1***0.9119999***0.1581740***
+***2***0.8640000***0.1515590***
+***3***0.9600000***0.1653910***
+***4***0.9280000***0.1579360***
+***5***0.9440000***0.1317500***
 accuracy = 92.16	#leaves = 21.00	max depth = 7.60
-.79400000000000000000

data/oc1output/balloons.txt

@@ -7,5 +7,9 @@ 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
+***1***0.6666666***0.0007010***
+***2***0.6666666***0.0000530***
+***3***1.0000000***0.0004900***
+***4***1.0000000***0.0005180***
+***5***0.5000000***0.0001590***
 accuracy = 75.00	#leaves = 2.80	max depth = 1.80
-.00400000000000000000

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

@@ -7,5 +7,9 @@ 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
+***1***0.9292036***0.3833650***
+***2***0.9469026***0.3616900***
+***3***0.9292036***0.3048200***
+***4***0.9203540***0.5420560***
+***5***0.9145299***0.2786670***
 accuracy = 92.79	#leaves = 11.40	max depth = 5.20
-1.91800000000000000000

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

@@ -8,5 +8,9 @@ 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
+***1***0.8205128***0.1899160***
+***2***0.7179487***0.2610650***
+***3***0.8205128***0.1540970***
+***4***0.5128205***0.1414850***
+***5***0.7857143***0.1824780***
 accuracy = 73.23	#leaves = 12.40	max depth = 6.60
-.92700000000000000000

data/oc1output/breast-cancer-wisc.txt

@@ -8,5 +8,9 @@ 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
+***1***0.9568346***0.2111440***
+***2***0.9352518***0.1807370***
+***3***0.9424461***0.1839270***
+***4***0.9568346***0.1927280***
+***5***0.9440559***0.2081380***
 accuracy = 94.71	#leaves = 11.00	max depth = 6.80
-1.02400000000000000000

data/oc1output/breast-cancer.txt

@@ -8,5 +8,9 @@ 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
+***1***0.6491228***0.0777250***
+***2***0.5614035***0.0820030***
+***3***0.6491228***0.0765800***
+***4***0.6491228***0.0661090***
+***5***0.7068965***0.0774350***
 accuracy = 64.34	#leaves = 27.40	max depth = 8.60
-.39700000000000000000

data/oc1output/cardiotocography-10clases.txt

@@ -15,5 +15,9 @@ 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
+***1***0.7811764***4.0981380***
+***2***0.7835295***4.5676210***
+***3***0.7929412***3.7609140***
+***4***0.7764705***4.1221350***
+***5***0.8028169***3.8846100***
 accuracy = 78.74	#leaves = 116.20	max depth = 12.40
-20.41800000000000000000

data/oc1output/cardiotocography-3clases.txt

@@ -8,5 +8,9 @@ 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
+***1***0.8847059***2.1991990***
+***2***0.9105882***2.6451690***
+***3***0.9176471***2.6936610***
+***4***0.8941177***2.2401460***
+***5***0.9084507***1.5113470***
 accuracy = 90.31	#leaves = 49.80	max depth = 11.00
-11.24900000000000000000

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

@@ -7,5 +7,9 @@ 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
+***1***0.6829269***0.1075660***
+***2***0.7073171***0.1105890***
+***3***0.7804878***0.1151940***
+***4***0.6585366***0.0952280***
+***5***0.6590909***0.0950490***
 accuracy = 69.71	#leaves = 13.20	max depth = 6.00
-.52500000000000000000

data/oc1output/cylinder-bands.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7254902***0.3968130***
+***2***0.5490196***0.4224880***
+***3***0.6568627***0.4685080***
+***4***0.6862745***0.5149860***
+***5***0.6538461***0.3339010***
 accuracy = 65.43	#leaves = 33.20	max depth = 9.20
-2.12700000000000000000

data/oc1output/dermatology.txt

@@ -9,5 +9,9 @@ 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
+***1***0.9863014***0.1015020***
+***2***0.9726028***0.1200320***
+***3***0.9315069***0.0961930***
+***4***0.9315069***0.1312740***
+***5***0.9729729***0.0975200***
 accuracy = 95.90	#leaves = 7.00	max depth = 4.00
-.54800000000000000000

data/oc1output/echocardiogram.txt

@@ -8,5 +8,9 @@ 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
+***1***0.8461539***0.0227810***
+***2***0.6538461***0.0204750***
+***3***0.7307692***0.0183540***
+***4***0.6153846***0.0217250***
+***5***0.6666666***0.0278930***
 accuracy = 70.23	#leaves = 8.40	max depth = 4.40
-.11500000000000000000

data/oc1output/fertility.txt

@@ -8,5 +8,9 @@ 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
+***1***0.9500000***0.0117460***
+***2***0.7000000***0.0066790***
+***3***0.7500000***0.0145600***
+***4***0.8000000***0.0102730***
+***5***0.7500000***0.0089740***
 accuracy = 79.00	#leaves = 6.20	max depth = 3.40
-.05600000000000000000

data/oc1output/haberman-survival.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7377049***0.0627080***
+***2***0.6065574***0.0593930***
+***3***0.7049181***0.0723190***
+***4***0.7377049***0.0566310***
+***5***0.6129032***0.0615990***
 accuracy = 67.97	#leaves = 32.40	max depth = 8.80
-.31700000000000000000

data/oc1output/heart-hungarian.txt

@@ -8,5 +8,9 @@ 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
+***1***0.8620690***0.0907020***
+***2***0.6724138***0.0931420***
+***3***0.6896551***0.1108600***
+***4***0.7413793***0.0993270***
+***5***0.7419355***0.0774400***
 accuracy = 74.15	#leaves = 19.60	max depth = 6.80
-.48400000000000000000

data/oc1output/hepatitis.txt

@@ -7,5 +7,9 @@ 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
+***1***0.7419355***0.0435910***
+***2***0.7419355***0.0428430***
+***3***0.7096775***0.0438550***
+***4***0.8064516***0.0384640***
+***5***0.7741936***0.0303340***
 accuracy = 75.48	#leaves = 8.60	max depth = 3.60
-.20400000000000000000

data/oc1output/ilpd-indian-liver.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7155173***0.2982450***
+***2***0.7068965***0.3266400***
+***3***0.6810344***0.3673980***
+***4***0.6637931***0.2961320***
+***5***0.6470588***0.3235310***
 accuracy = 68.27	#leaves = 41.60	max depth = 11.40
-1.60900000000000000000

data/oc1output/ionosphere.txt

@@ -7,5 +7,9 @@ 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
+***1***0.8714286***0.2273390***
+***2***0.8142858***0.2437670***
+***3***0.8428571***0.2687800***
+***4***0.9285714***0.2173090***
+***5***0.9295775***0.3151910***
 accuracy = 87.75	#leaves = 11.00	max depth = 5.80
-1.23400000000000000000

data/oc1output/iris.txt

@@ -8,5 +8,9 @@ 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
+***1***0.9000000***0.0086640***
+***2***0.9666666***0.0196090***
+***3***0.9333333***0.0160130***
+***4***0.9666666***0.0185000***
+***5***0.9333333***0.0181000***
 accuracy = 94.00	#leaves = 4.40	max depth = 3.40
-.08200000000000000000

data/oc1output/led-display.txt

@@ -15,5 +15,9 @@ 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
+***1***0.6650000***0.2958990***
+***2***0.7450000***0.2937330***
+***3***0.6800000***0.3029850***
+***4***0.6350000***0.2929900***
+***5***0.6750000***0.2843340***
 accuracy = 68.00	#leaves = 51.40	max depth = 7.80
-1.46800000000000000000

data/oc1output/libras.txt

@@ -21,5 +21,9 @@ 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
+***1***0.6527778***0.5560350***
+***2***0.5833333***0.4794660***
+***3***0.6111111***0.4998640***
+***4***0.6250000***0.5034040***
+***5***0.6250000***0.5128320***
 accuracy = 61.94	#leaves = 52.60	max depth = 8.40
-2.56300000000000000000

data/oc1output/low-res-spect.txt

@@ -14,5 +14,9 @@ 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
+***1***0.7641509***1.2043350***
+***2***0.8584906***1.1595670***
+***3***0.8490566***1.1684390***
+***4***0.8396227***1.2747610***
+***5***0.8317757***1.1951160***
 accuracy = 82.86	#leaves = 29.80	max depth = 7.00
-5.99000000000000000000

data/oc1output/lymphography.txt

@@ -9,5 +9,9 @@ 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
+***1***0.7586207***0.0350760***
+***2***0.6896551***0.0473560***
+***3***0.7931035***0.0407650***
+***4***0.7586207***0.0494350***
+***5***0.6562500***0.0378250***
 accuracy = 72.97	#leaves = 10.20	max depth = 4.60
-.21600000000000000000

data/oc1output/mammographic.txt

@@ -7,5 +7,9 @@ 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
+***1***0.8385416***0.4255140***
+***2***0.7343750***0.4018640***
+***3***0.7500000***0.4132000***
+***4***0.7864584***0.3519030***
+***5***0.7253886***0.3515240***
 accuracy = 76.69	#leaves = 84.00	max depth = 13.60
-2.02400000000000000000

data/oc1output/molec-biol-promoter.txt

@@ -8,5 +8,9 @@ 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
+***1***0.6666666***0.0027940***
+***2***0.6190476***0.0032360***
+***3***0.7142857***0.0031130***
+***4***0.6666666***0.0028930***
+***5***0.6818182***0.0027870***
 accuracy = 66.98	#leaves = 9.80	max depth = 4.40
-.01800000000000000000

data/oc1output/musk-1.txt

@@ -7,5 +7,9 @@ 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
+***1***0.8000000***0.6899200***
+***2***0.8315790***0.6587480***
+***3***0.8000000***0.7495210***
+***4***0.8105264***0.8157560***
+***5***0.8020834***0.7862310***
 accuracy = 80.88	#leaves = 28.20	max depth = 12.20
-3.84800000000000000000

data/oc1output/oocytes_merluccius_nucleus_4d.txt

@@ -7,5 +7,9 @@ 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
+***1***0.8382353***1.6925180***
+***2***0.7401960***1.5498660***
+***3***0.7156863***1.2846620***
+***4***0.7352941***1.4244470***
+***5***0.6844660***1.4710030***
 accuracy = 74.27	#leaves = 75.20	max depth = 12.20
-7.67300000000000000000

data/oc1output/oocytes_merluccius_states_2f.txt

@@ -9,5 +9,9 @@ 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
+***1***0.8823529***0.7756740***
+***2***0.8774509***1.0367280***
+***3***0.9068627***0.9465450***
+***4***0.8725491***0.9542270***
+***5***0.8592233***1.3299420***
 accuracy = 87.96	#leaves = 30.00	max depth = 8.80
-5.23000000000000000000

data/oc1output/oocytes_trisopterus_nucleus_2f.txt

@@ -7,5 +7,9 @@ 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
+***1***0.7582417***0.9559100***
+***2***0.7362638***0.9667320***
+***3***0.7032967***0.9587130***
+***4***0.7032967***1.0053520***
+***5***0.7445652***0.9024340***
 accuracy = 72.92	#leaves = 54.20	max depth = 11.20
-4.95800000000000000000

data/oc1output/oocytes_trisopterus_states_5b.txt

@@ -8,5 +8,9 @@ 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
+***1***0.8681319***1.6108190***
+***2***0.8461539***1.6300120***
+***3***0.8406593***1.4862340***
+***4***0.9395605***1.5988220***
+***5***0.8152174***1.1357510***
 accuracy = 86.18	#leaves = 36.60	max depth = 12.60
-7.58400000000000000000

data/oc1output/parkinsons.txt

@@ -7,5 +7,9 @@ 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
+***1***0.8974359***0.0848630***
+***2***0.9230769***0.0801880***
+***3***0.8461539***0.1060770***
+***4***0.7692308***0.1026050***
+***5***0.8974359***0.0829780***
 accuracy = 86.67	#leaves = 6.80	max depth = 4.80
-.47200000000000000000

data/oc1output/pima.txt

@@ -7,5 +7,9 @@ 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
+***1***0.7189543***0.3552460***
+***2***0.7058823***0.3874330***
+***3***0.7058823***0.3434020***
+***4***0.7124183***0.3485130***
+***5***0.6666666***0.4084230***
 accuracy = 70.18	#leaves = 52.80	max depth = 10.40
-1.88100000000000000000

data/oc1output/pittsburg-bridges-MATERIAL.txt

@@ -9,5 +9,9 @@ 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
+***1***0.7142857***0.0153410***
+***2***0.6190476***0.0082140***
+***3***0.8095238***0.0204220***
+***4***0.8571429***0.0147140***
+***5***0.9545454***0.0125010***
 accuracy = 79.25	#leaves = 8.00	max depth = 4.40
-.07500000000000000000

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

@@ -9,5 +9,9 @@ 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
+***1***0.7000000***0.0290650***
+***2***0.7000000***0.0234820***
+***3***0.7000000***0.0237890***
+***4***0.7000000***0.0214830***
+***5***0.6086956***0.0169310***
 accuracy = 67.96	#leaves = 12.40	max depth = 5.60
-.12200000000000000000

data/oc1output/pittsburg-bridges-SPAN.txt

@@ -9,5 +9,9 @@ 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
+***1***0.5555556***0.0262710***
+***2***0.7222222***0.0198150***
+***3***0.6111111***0.0198230***
+***4***0.5000000***0.0128920***
+***5***0.7000000***0.0194600***
 accuracy = 61.96	#leaves = 11.20	max depth = 5.40
-.10200000000000000000

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

@@ -8,5 +8,9 @@ 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
+***1***0.6500000***0.0103150***
+***2***0.7500000***0.0217320***
+***3***0.8500000***0.0111740***
+***4***0.8500000***0.0206900***
+***5***0.8181818***0.0154910***
 accuracy = 78.43	#leaves = 7.40	max depth = 4.60
-.08400000000000000000

data/oc1output/planning.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7500000***0.0814150***
+***2***0.6111111***0.1040440***
+***3***0.5833333***0.0523690***
+***4***0.6388889***0.0521560***
+***5***0.5526316***0.0549810***
 accuracy = 62.64	#leaves = 17.80	max depth = 6.60
-.35900000000000000000

data/oc1output/post-operative.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7222222***0.0147520***
+***2***0.5000000***0.0224500***
+***3***0.5555556***0.0164940***
+***4***0.5555556***0.0165310***
+***5***0.6111111***0.0181420***
 accuracy = 58.89	#leaves = 14.80	max depth = 6.60
-.09100000000000000000

data/oc1output/seeds.txt

@@ -9,5 +9,9 @@ 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
+***1***0.9523810***0.0221990***
+***2***0.9523810***0.0439000***
+***3***0.9285714***0.0312740***
+***4***0.9285714***0.0365370***
+***5***0.9285714***0.0348440***
 accuracy = 93.81	#leaves = 5.20	max depth = 3.60
-.17400000000000000000

data/oc1output/statlog-australian-credit.txt

@@ -7,5 +7,9 @@ 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
+***1***0.6014493***0.3926890***
+***2***0.5942029***0.4603360***
+***3***0.5797102***0.3795850***
+***4***0.5942029***0.4557790***
+***5***0.5942029***0.4469860***
 accuracy = 59.28	#leaves = 50.40	max depth = 10.40
-2.20300000000000000000

data/oc1output/statlog-german-credit.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7050000***0.6662750***
+***2***0.6500000***0.9957820***
+***3***0.7150000***0.8013330***
+***4***0.6700000***0.7803050***
+***5***0.6150000***0.9622970***
 accuracy = 67.10	#leaves = 56.60	max depth = 10.60
-4.37200000000000000000

data/oc1output/statlog-heart.txt

@@ -6,5 +6,9 @@ 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
+***1***0.7407407***0.0784600***
+***2***0.8148148***0.0863050***
+***3***0.6851852***0.0794050***
+***4***0.7407407***0.0814250***
+***5***0.6111111***0.0922060***
 accuracy = 71.85	#leaves = 14.60	max depth = 7.00
-.43200000000000000000

data/oc1output/statlog-image.txt

@@ -12,5 +12,9 @@ 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
+***1***0.9415585***2.3179950***
+***2***0.9632034***2.2156990***
+***3***0.9285714***2.3448510***
+***4***0.9653680***2.2469760***
+***5***0.9220780***2.3001440***
 accuracy = 94.42	#leaves = 43.00	max depth = 10.00
-11.76100000000000000000

data/oc1output/statlog-vehicle.txt

@@ -8,5 +8,9 @@ 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
+***1***0.7100592***0.9197460***
+***2***0.7751479***0.9962790***
+***3***0.6686391***0.8840680***
+***4***0.7455621***0.7852650***
+***5***0.6882353***0.8788030***
 accuracy = 71.75	#leaves = 74.60	max depth = 13.20
-4.58300000000000000000

data/oc1output/synthetic-control.txt

@@ -12,5 +12,9 @@ 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
+***1***0.8250000***1.4433450***
+***2***0.8583333***1.3784070***
+***3***0.8333334***1.4501450***
+***4***0.8250000***1.4395630***
+***5***0.8166667***1.4033730***
 accuracy = 83.17	#leaves = 20.40	max depth = 6.40
-7.25500000000000000000

data/oc1output/tic-tac-toe.txt

@@ -7,5 +7,9 @@ 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
+***1***0.9162304***0.2361990***
+***2***0.9162304***0.3789480***
+***3***0.8900523***0.4503080***
+***4***0.9424084***0.3189900***
+***5***0.9432989***0.3714380***
 accuracy = 92.17	#leaves = 21.20	max depth = 8.20
-1.75200000000000000000

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

@@ -8,5 +8,9 @@ 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
+***1***0.8709677***0.0747540***
+***2***0.7258064***0.0827210***
+***3***0.7903225***0.0783000***
+***4***0.8064516***0.0745290***
+***5***0.8225806***0.0746480***
 accuracy = 80.32	#leaves = 16.40	max depth = 6.60
-.38200000000000000000

data/oc1output/wine.txt

@@ -9,5 +9,9 @@ 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
+***1***0.8571429***0.0332730***
+***2***0.9428571***0.0358290***
+***3***0.9714286***0.0321230***
+***4***0.9428571***0.0332170***
+***5***0.9210526***0.0331370***
 accuracy = 92.70	#leaves = 3.80	max depth = 2.80
-.17000000000000000000

data/oc1output/zoo.txt

@@ -12,5 +12,9 @@ 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
+***1***0.8500000***0.0168920***
+***2***0.8000000***0.0124890***
+***3***0.8500000***0.0159790***
+***4***0.9000000***0.0139940***
+***5***0.8571429***0.0139290***
 accuracy = 85.15	#leaves = 8.20	max depth = 5.60
-.07500000000000000000

oc1results.py

@@ -2,13 +2,30 @@ import os
 from datetime import datetime
 from experimentation.Sets import Datasets
 from experimentation.Database import MySQL
+from statistics import mean, stdev
 
 
 def store_result(database, dataset, accuracy, time_spent):
+    attributes = [
+        "date",
+        "time",
+        "type",
+        "accuracy",
+        "accuracy_std",
+        "dataset",
+        "classifier",
+        "norm",
+        "stand",
+        "time_spent",
+        "time_spent_std",
+        "parameters",
+    ]
     command_insert = (
-        "replace into results (date, time, type, accuracy, "
+        "insert into results ("
-        "dataset, classifier, norm, stand, time_spent, parameters) values (%s,"
+        + ",".join(attributes)
-        " %s, %s, %s, %s, %s, %s, %s, %s, %s)"
+        + ") values("
+        + ("%s," * len(attributes))[:-1]
+        + ")"
     )
     now = datetime.now()
     date = now.strftime("%Y-%m-%d")
@@ -17,12 +34,14 @@ def store_result(database, dataset, accuracy, time_spent):
         date,
         time,
         "crossval",
-        accuracy,
+        mean(accuracy),
+        stdev(accuracy),
         dataset,
         "oc1",
         True,
         False,
-        time_spent,
+        mean(time_spent),
+        stdev(time_spent),
         str({"random_state": 1}),
     )
     cursor = database.cursor()
@@ -34,11 +53,15 @@ def get_result(name):
     filename = os.path.join("data", "oc1output", f"{name}.txt")
     result_file = open(filename, "r")
     lines = result_file.readlines()
-    accuracy = float(lines[-2].split("= ")[1].split("#")[0]) / 100
-    time = float(lines[-1])
-    print(f"accuracy=[{accuracy}] time=[{time}]")
     result_file.close()
-    return accuracy, time
+    data = lines[-6:-1]
+    time_spent = []
+    accuracy = []
+    for line in data:
+        acc, time_s = line.split("***")[2:4]
+        accuracy.append(float(acc))
+        time_spent.append(float(time_s))
+    return accuracy, time_spent
 
 
 dbh = MySQL()
@@ -47,5 +70,11 @@ dt = Datasets(False, False, "tanveer")
 for dataset in dt:
     print(f"Processing {dataset[0]:30s}", end=" ")
     accuracy, time_spent = get_result(dataset[0])
+    accuracy_mean, accuracy_std = mean(accuracy), stdev(accuracy)
+    time_mean, time_std = mean(time_spent), stdev(time_spent)
+    print(
+        f"accuracy=[{accuracy_mean:05.3f}\u00B1{accuracy_std:05.3f}] "
+        f"time=[{time_mean:05.3f}\u00B1{time_std:05.3f}]"
+    )
     store_result(database, dataset[0], accuracy, time_spent)
 dbh.close()