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Fix oc1 process

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This commit is contained in:
Ricardo Montañana Gómez
2021-04-11 03:23:36 +02:00
parent 603c73a476
commit 4d8f060b0e
483 changed files with 66 additions and 5579 deletions
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11
data/oc1output/balance-scale_1.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

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data/oc1output/balance-scale_17.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

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data/oc1output/balance-scale_1714.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

11
data/oc1output/balance-scale_23.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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. = 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

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data/oc1output/balance-scale_31.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

11
data/oc1output/balance-scale_57.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

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data/oc1output/balance-scale_7.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

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data/oc1output/balance-scale_79.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

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data/oc1output/balance-scale_83.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

11
data/oc1output/balance-scale_97.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 3
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

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data/oc1output/balloons_1.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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. = 33.33 #leaves = 2 max. depth = 1
fold 4: acc. = 66.67 #leaves = 4 max. depth = 3
fold 5: acc. = 25.00 #leaves = 2 max. depth = 1
accuracy = 50.00 #leaves = 3.20 max depth = 2.20

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data/oc1output/balloons_17.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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. = 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
accuracy = 56.25 #leaves = 3.20 max depth = 2.20

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data/oc1output/balloons_1714.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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. = 50.00 #leaves = 2 max. depth = 1
accuracy = 43.75 #leaves = 2.80 max depth = 1.80

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data/oc1output/balloons_23.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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
accuracy = 68.75 #leaves = 2.80 max depth = 1.80

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data/oc1output/balloons_31.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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
accuracy = 62.50 #leaves = 2.40 max depth = 1.40

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data/oc1output/balloons_57.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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. = 0.00 #leaves = 2 max. depth = 1
fold 5: acc. = 50.00 #leaves = 2 max. depth = 1
accuracy = 56.25 #leaves = 2.80 max depth = 1.80

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data/oc1output/balloons_7.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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
accuracy = 56.25 #leaves = 3.20 max depth = 2.20

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data/oc1output/balloons_79.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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
accuracy = 62.50 #leaves = 2.40 max depth = 1.40

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data/oc1output/balloons_83.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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
accuracy = 62.50 #leaves = 2.80 max depth = 1.80

9
data/oc1output/balloons_97.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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. = 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

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data/oc1output/breast-cancer-wisc-diag_1.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_17.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_1714.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_23.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_31.txt
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@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_57.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_7.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_79.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_83.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

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data/oc1output/breast-cancer-wisc-diag_97.txt
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@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_1.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_17.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_1714.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_23.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_31.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_57.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_7.txt
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@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_79.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_83.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc-prog_97.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

10
data/oc1output/breast-cancer-wisc_1.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_17.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_1714.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_23.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_31.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_57.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_7.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_79.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_83.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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

11
data/oc1output/breast-cancer-wisc_97.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
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. = 94.96 #leaves = 13 max. depth = 7
fold 3: acc. = 94.96 #leaves = 18 max. depth = 7
fold 4: acc. = 93.53 #leaves = 13 max. depth = 8
fold 5: acc. = 94.41 #leaves = 19 max. depth = 10
accuracy = 94.71 #leaves = 13.00 max depth = 6.60

11
data/oc1output/breast-cancer_1.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 78.95 #leaves = 3 max. depth = 2
fold 2: acc. = 73.68 #leaves = 35 max. depth = 13
fold 3: acc. = 73.68 #leaves = 38 max. depth = 12
fold 4: acc. = 63.16 #leaves = 37 max. depth = 16
fold 5: acc. = 58.62 #leaves = 43 max. depth = 10
accuracy = 69.58 #leaves = 31.20 max depth = 10.60

11
data/oc1output/breast-cancer_17.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 82.46 #leaves = 3 max. depth = 2
fold 2: acc. = 66.67 #leaves = 41 max. depth = 16
fold 3: acc. = 64.91 #leaves = 38 max. depth = 10
fold 4: acc. = 63.16 #leaves = 33 max. depth = 10
fold 5: acc. = 58.62 #leaves = 42 max. depth = 10
accuracy = 67.13 #leaves = 31.40 max depth = 9.60

11
data/oc1output/breast-cancer_1714.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 82.46 #leaves = 2 max. depth = 1
fold 2: acc. = 70.18 #leaves = 51 max. depth = 16
fold 3: acc. = 64.91 #leaves = 41 max. depth = 15
fold 4: acc. = 59.65 #leaves = 42 max. depth = 13
fold 5: acc. = 60.34 #leaves = 38 max. depth = 13
accuracy = 67.48 #leaves = 34.80 max depth = 11.60

11
data/oc1output/breast-cancer_23.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 80.70 #leaves = 2 max. depth = 1
fold 2: acc. = 66.67 #leaves = 35 max. depth = 8
fold 3: acc. = 52.63 #leaves = 34 max. depth = 11
fold 4: acc. = 73.68 #leaves = 48 max. depth = 14
fold 5: acc. = 70.69 #leaves = 41 max. depth = 12
accuracy = 68.88 #leaves = 32.00 max depth = 9.20

11
data/oc1output/breast-cancer_31.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 70.18 #leaves = 5 max. depth = 4
fold 2: acc. = 71.93 #leaves = 46 max. depth = 11
fold 3: acc. = 52.63 #leaves = 43 max. depth = 16
fold 4: acc. = 61.40 #leaves = 32 max. depth = 16
fold 5: acc. = 63.79 #leaves = 40 max. depth = 12
accuracy = 63.99 #leaves = 33.20 max depth = 11.80

11
data/oc1output/breast-cancer_57.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 75.44 #leaves = 12 max. depth = 7
fold 2: acc. = 61.40 #leaves = 48 max. depth = 11
fold 3: acc. = 70.18 #leaves = 46 max. depth = 12
fold 4: acc. = 59.65 #leaves = 36 max. depth = 12
fold 5: acc. = 58.62 #leaves = 45 max. depth = 16
accuracy = 65.03 #leaves = 37.40 max depth = 11.60

11
data/oc1output/breast-cancer_7.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 73.68 #leaves = 2 max. depth = 1
fold 2: acc. = 61.40 #leaves = 43 max. depth = 11
fold 3: acc. = 77.19 #leaves = 40 max. depth = 10
fold 4: acc. = 54.39 #leaves = 41 max. depth = 10
fold 5: acc. = 75.86 #leaves = 32 max. depth = 12
accuracy = 68.53 #leaves = 31.60 max depth = 8.80

11
data/oc1output/breast-cancer_79.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 66.67 #leaves = 2 max. depth = 1
fold 2: acc. = 66.67 #leaves = 38 max. depth = 12
fold 3: acc. = 66.67 #leaves = 38 max. depth = 13
fold 4: acc. = 77.19 #leaves = 37 max. depth = 9
fold 5: acc. = 62.07 #leaves = 38 max. depth = 11
accuracy = 67.83 #leaves = 30.60 max depth = 9.20

11
data/oc1output/breast-cancer_83.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 70.18 #leaves = 4 max. depth = 2
fold 2: acc. = 66.67 #leaves = 39 max. depth = 14
fold 3: acc. = 66.67 #leaves = 38 max. depth = 11
fold 4: acc. = 61.40 #leaves = 44 max. depth = 13
fold 5: acc. = 70.69 #leaves = 37 max. depth = 12
accuracy = 67.13 #leaves = 32.40 max depth = 10.40

11
data/oc1output/breast-cancer_97.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/breast-cancer.csv.dt.
Unpruned decision tree written to data/csv/breast-cancer.csv.dt.unpruned.
fold 1: acc. = 66.67 #leaves = 2 max. depth = 1
fold 2: acc. = 73.68 #leaves = 45 max. depth = 16
fold 3: acc. = 57.89 #leaves = 38 max. depth = 10
fold 4: acc. = 59.65 #leaves = 39 max. depth = 19
fold 5: acc. = 62.07 #leaves = 43 max. depth = 14
accuracy = 63.99 #leaves = 33.40 max depth = 12.00

18
data/oc1output/cardiotocography-10clases_1.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 81.41 #leaves = 32 max. depth = 9
fold 2: acc. = 77.18 #leaves = 180 max. depth = 15
fold 3: acc. = 79.76 #leaves = 193 max. depth = 19
fold 4: acc. = 78.82 #leaves = 183 max. depth = 15
fold 5: acc. = 80.99 #leaves = 193 max. depth = 21
accuracy = 79.63 #leaves = 156.20 max depth = 15.80

18
data/oc1output/cardiotocography-10clases_17.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 81.88 #leaves = 68 max. depth = 9
fold 2: acc. = 80.71 #leaves = 176 max. depth = 17
fold 3: acc. = 80.00 #leaves = 184 max. depth = 21
fold 4: acc. = 79.76 #leaves = 182 max. depth = 18
fold 5: acc. = 82.39 #leaves = 190 max. depth = 21
accuracy = 80.95 #leaves = 160.00 max depth = 17.20

18
data/oc1output/cardiotocography-10clases_1714.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 84.47 #leaves = 34 max. depth = 9
fold 2: acc. = 79.76 #leaves = 185 max. depth = 18
fold 3: acc. = 79.53 #leaves = 180 max. depth = 16
fold 4: acc. = 78.12 #leaves = 187 max. depth = 21
fold 5: acc. = 82.39 #leaves = 196 max. depth = 22
accuracy = 80.86 #leaves = 156.40 max depth = 17.20

18
data/oc1output/cardiotocography-10clases_23.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 83.29 #leaves = 21 max. depth = 8
fold 2: acc. = 83.53 #leaves = 183 max. depth = 17
fold 3: acc. = 80.71 #leaves = 183 max. depth = 15
fold 4: acc. = 76.24 #leaves = 191 max. depth = 18
fold 5: acc. = 80.05 #leaves = 179 max. depth = 21
accuracy = 80.76 #leaves = 151.40 max depth = 15.80

18
data/oc1output/cardiotocography-10clases_31.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 82.59 #leaves = 27 max. depth = 9
fold 2: acc. = 81.65 #leaves = 200 max. depth = 21
fold 3: acc. = 76.71 #leaves = 183 max. depth = 25
fold 4: acc. = 78.35 #leaves = 203 max. depth = 15
fold 5: acc. = 80.52 #leaves = 175 max. depth = 14
accuracy = 79.96 #leaves = 157.60 max depth = 16.80

18
data/oc1output/cardiotocography-10clases_57.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 83.29 #leaves = 35 max. depth = 8
fold 2: acc. = 81.18 #leaves = 187 max. depth = 19
fold 3: acc. = 83.53 #leaves = 184 max. depth = 15
fold 4: acc. = 79.53 #leaves = 175 max. depth = 17
fold 5: acc. = 84.04 #leaves = 200 max. depth = 17
accuracy = 82.31 #leaves = 156.20 max depth = 15.20

18
data/oc1output/cardiotocography-10clases_7.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 81.65 #leaves = 35 max. depth = 9
fold 2: acc. = 81.41 #leaves = 168 max. depth = 17
fold 3: acc. = 80.24 #leaves = 184 max. depth = 17
fold 4: acc. = 86.59 #leaves = 190 max. depth = 18
fold 5: acc. = 78.87 #leaves = 176 max. depth = 19
accuracy = 81.75 #leaves = 150.60 max depth = 16.00

18
data/oc1output/cardiotocography-10clases_79.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 80.47 #leaves = 57 max. depth = 9
fold 2: acc. = 77.88 #leaves = 185 max. depth = 21
fold 3: acc. = 81.41 #leaves = 202 max. depth = 15
fold 4: acc. = 79.76 #leaves = 183 max. depth = 17
fold 5: acc. = 79.11 #leaves = 189 max. depth = 22
accuracy = 79.73 #leaves = 163.20 max depth = 16.80

18
data/oc1output/cardiotocography-10clases_83.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 78.59 #leaves = 26 max. depth = 8
fold 2: acc. = 80.71 #leaves = 181 max. depth = 16
fold 3: acc. = 78.59 #leaves = 169 max. depth = 17
fold 4: acc. = 79.76 #leaves = 196 max. depth = 22
fold 5: acc. = 79.81 #leaves = 191 max. depth = 18
accuracy = 79.49 #leaves = 152.60 max depth = 16.20

18
data/oc1output/cardiotocography-10clases_97.txt
View File

@@ -1,18 +0,0 @@
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 data/csv/cardiotocography-10clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-10clases.csv.dt.unpruned.
fold 1: acc. = 79.29 #leaves = 129 max. depth = 13
fold 2: acc. = 80.00 #leaves = 180 max. depth = 19
fold 3: acc. = 80.00 #leaves = 188 max. depth = 17
fold 4: acc. = 82.82 #leaves = 185 max. depth = 17
fold 5: acc. = 78.87 #leaves = 185 max. depth = 21
accuracy = 80.20 #leaves = 173.40 max depth = 17.40

11
data/oc1output/cardiotocography-3clases_1.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 90.12 #leaves = 9 max. depth = 6
fold 2: acc. = 91.06 #leaves = 84 max. depth = 13
fold 3: acc. = 90.35 #leaves = 78 max. depth = 12
fold 4: acc. = 90.12 #leaves = 86 max. depth = 13
fold 5: acc. = 92.49 #leaves = 82 max. depth = 13
accuracy = 90.83 #leaves = 67.80 max depth = 11.40

11
data/oc1output/cardiotocography-3clases_17.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 90.59 #leaves = 20 max. depth = 7
fold 2: acc. = 89.18 #leaves = 85 max. depth = 11
fold 3: acc. = 92.24 #leaves = 88 max. depth = 14
fold 4: acc. = 89.88 #leaves = 76 max. depth = 13
fold 5: acc. = 91.55 #leaves = 81 max. depth = 13
accuracy = 90.69 #leaves = 70.00 max depth = 11.60

11
data/oc1output/cardiotocography-3clases_1714.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 91.29 #leaves = 12 max. depth = 8
fold 2: acc. = 91.29 #leaves = 86 max. depth = 17
fold 3: acc. = 91.53 #leaves = 90 max. depth = 14
fold 4: acc. = 89.41 #leaves = 82 max. depth = 15
fold 5: acc. = 88.73 #leaves = 88 max. depth = 14
accuracy = 90.45 #leaves = 71.60 max depth = 13.60

11
data/oc1output/cardiotocography-3clases_23.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 92.94 #leaves = 19 max. depth = 7
fold 2: acc. = 91.06 #leaves = 80 max. depth = 14
fold 3: acc. = 93.18 #leaves = 76 max. depth = 13
fold 4: acc. = 89.65 #leaves = 79 max. depth = 12
fold 5: acc. = 90.85 #leaves = 77 max. depth = 14
accuracy = 91.53 #leaves = 66.20 max depth = 12.00

11
data/oc1output/cardiotocography-3clases_31.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 90.82 #leaves = 84 max. depth = 12
fold 2: acc. = 90.35 #leaves = 86 max. depth = 17
fold 3: acc. = 89.88 #leaves = 75 max. depth = 12
fold 4: acc. = 92.71 #leaves = 93 max. depth = 13
fold 5: acc. = 92.96 #leaves = 81 max. depth = 13
accuracy = 91.35 #leaves = 83.80 max depth = 13.40

11
data/oc1output/cardiotocography-3clases_57.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 91.53 #leaves = 36 max. depth = 9
fold 2: acc. = 91.53 #leaves = 96 max. depth = 14
fold 3: acc. = 91.06 #leaves = 88 max. depth = 14
fold 4: acc. = 90.35 #leaves = 86 max. depth = 14
fold 5: acc. = 92.72 #leaves = 75 max. depth = 12
accuracy = 91.44 #leaves = 76.20 max depth = 12.60

11
data/oc1output/cardiotocography-3clases_7.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 86.35 #leaves = 12 max. depth = 6
fold 2: acc. = 92.71 #leaves = 71 max. depth = 12
fold 3: acc. = 90.59 #leaves = 80 max. depth = 15
fold 4: acc. = 92.94 #leaves = 82 max. depth = 14
fold 5: acc. = 91.78 #leaves = 80 max. depth = 13
accuracy = 90.87 #leaves = 65.00 max depth = 12.00

11
data/oc1output/cardiotocography-3clases_79.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 89.65 #leaves = 12 max. depth = 7
fold 2: acc. = 89.41 #leaves = 88 max. depth = 15
fold 3: acc. = 92.47 #leaves = 92 max. depth = 18
fold 4: acc. = 90.59 #leaves = 88 max. depth = 13
fold 5: acc. = 91.78 #leaves = 80 max. depth = 13
accuracy = 90.78 #leaves = 72.00 max depth = 13.20

11
data/oc1output/cardiotocography-3clases_83.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 91.29 #leaves = 21 max. depth = 7
fold 2: acc. = 90.12 #leaves = 80 max. depth = 11
fold 3: acc. = 90.82 #leaves = 81 max. depth = 13
fold 4: acc. = 89.18 #leaves = 79 max. depth = 12
fold 5: acc. = 93.90 #leaves = 89 max. depth = 17
accuracy = 91.06 #leaves = 70.00 max depth = 12.00

11
data/oc1output/cardiotocography-3clases_97.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 2
2 To 3
Pruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.
Unpruned decision tree written to data/csv/cardiotocography-3clases.csv.dt.unpruned.
fold 1: acc. = 88.94 #leaves = 12 max. depth = 6
fold 2: acc. = 90.59 #leaves = 71 max. depth = 12
fold 3: acc. = 91.76 #leaves = 86 max. depth = 11
fold 4: acc. = 90.59 #leaves = 82 max. depth = 13
fold 5: acc. = 90.61 #leaves = 80 max. depth = 13
accuracy = 90.50 #leaves = 66.20 max depth = 11.00

10
data/oc1output/conn-bench-sonar-mines-rocks_1.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 63.41 #leaves = 4 max. depth = 3
fold 2: acc. = 63.41 #leaves = 14 max. depth = 6
fold 3: acc. = 78.05 #leaves = 16 max. depth = 8
fold 4: acc. = 80.49 #leaves = 15 max. depth = 5
fold 5: acc. = 61.36 #leaves = 16 max. depth = 6
accuracy = 69.23 #leaves = 13.00 max depth = 5.60

10
data/oc1output/conn-bench-sonar-mines-rocks_17.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 63.41 #leaves = 2 max. depth = 1
fold 2: acc. = 73.17 #leaves = 18 max. depth = 6
fold 3: acc. = 75.61 #leaves = 19 max. depth = 8
fold 4: acc. = 75.61 #leaves = 14 max. depth = 7
fold 5: acc. = 68.18 #leaves = 16 max. depth = 6
accuracy = 71.15 #leaves = 13.80 max depth = 5.60

10
data/oc1output/conn-bench-sonar-mines-rocks_1714.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 80.49 #leaves = 7 max. depth = 3
fold 2: acc. = 80.49 #leaves = 15 max. depth = 7
fold 3: acc. = 85.37 #leaves = 12 max. depth = 5
fold 4: acc. = 68.29 #leaves = 14 max. depth = 6
fold 5: acc. = 63.64 #leaves = 16 max. depth = 8
accuracy = 75.48 #leaves = 12.80 max depth = 5.80

10
data/oc1output/conn-bench-sonar-mines-rocks_23.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 80.49 #leaves = 10 max. depth = 5
fold 2: acc. = 46.34 #leaves = 18 max. depth = 8
fold 3: acc. = 75.61 #leaves = 18 max. depth = 6
fold 4: acc. = 68.29 #leaves = 17 max. depth = 6
fold 5: acc. = 70.45 #leaves = 14 max. depth = 5
accuracy = 68.27 #leaves = 15.40 max depth = 6.00

10
data/oc1output/conn-bench-sonar-mines-rocks_31.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 70.73 #leaves = 7 max. depth = 4
fold 2: acc. = 78.05 #leaves = 20 max. depth = 7
fold 3: acc. = 68.29 #leaves = 14 max. depth = 5
fold 4: acc. = 80.49 #leaves = 16 max. depth = 7
fold 5: acc. = 79.55 #leaves = 17 max. depth = 7
accuracy = 75.48 #leaves = 14.80 max depth = 6.00

9
data/oc1output/conn-bench-sonar-mines-rocks_57.txt
View File

@@ -1,9 +0,0 @@
Remapping class numbers:
0 To 2
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
fold 1: acc. = 73.17 #leaves = 16 max. depth = 6
fold 2: acc. = 63.41 #leaves = 14 max. depth = 7
fold 3: acc. = 78.05 #leaves = 16 max. depth = 7
fold 4: acc. = 48.78 #leaves = 17 max. depth = 5
fold 5: acc. = 77.27 #leaves = 16 max. depth = 6
accuracy = 68.27 #leaves = 15.80 max depth = 6.20

10
data/oc1output/conn-bench-sonar-mines-rocks_7.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 63.41 #leaves = 3 max. depth = 2
fold 2: acc. = 68.29 #leaves = 17 max. depth = 7
fold 3: acc. = 80.49 #leaves = 14 max. depth = 7
fold 4: acc. = 75.61 #leaves = 15 max. depth = 9
fold 5: acc. = 65.91 #leaves = 15 max. depth = 6
accuracy = 70.67 #leaves = 12.80 max depth = 6.20

10
data/oc1output/conn-bench-sonar-mines-rocks_79.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 80.49 #leaves = 7 max. depth = 5
fold 2: acc. = 60.98 #leaves = 15 max. depth = 6
fold 3: acc. = 68.29 #leaves = 13 max. depth = 6
fold 4: acc. = 82.93 #leaves = 18 max. depth = 6
fold 5: acc. = 79.55 #leaves = 13 max. depth = 7
accuracy = 74.52 #leaves = 13.20 max depth = 6.00

10
data/oc1output/conn-bench-sonar-mines-rocks_83.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 73.17 #leaves = 3 max. depth = 2
fold 2: acc. = 73.17 #leaves = 16 max. depth = 7
fold 3: acc. = 65.85 #leaves = 14 max. depth = 6
fold 4: acc. = 80.49 #leaves = 18 max. depth = 8
fold 5: acc. = 75.00 #leaves = 15 max. depth = 6
accuracy = 73.56 #leaves = 13.20 max depth = 5.80

10
data/oc1output/conn-bench-sonar-mines-rocks_97.txt
View File

@@ -1,10 +0,0 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.
Unpruned decision tree written to data/csv/conn-bench-sonar-mines-rocks.csv.dt.unpruned.
fold 1: acc. = 70.73 #leaves = 11 max. depth = 5
fold 2: acc. = 56.10 #leaves = 14 max. depth = 6
fold 3: acc. = 78.05 #leaves = 16 max. depth = 6
fold 4: acc. = 65.85 #leaves = 17 max. depth = 5
fold 5: acc. = 72.73 #leaves = 14 max. depth = 6
accuracy = 68.75 #leaves = 14.40 max depth = 5.60

11
data/oc1output/cylinder-bands_1.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 58.82 #leaves = 14 max. depth = 9
fold 2: acc. = 60.78 #leaves = 55 max. depth = 13
fold 3: acc. = 70.59 #leaves = 57 max. depth = 14
fold 4: acc. = 67.65 #leaves = 60 max. depth = 12
fold 5: acc. = 71.15 #leaves = 53 max. depth = 11
accuracy = 65.82 #leaves = 47.80 max depth = 11.80

11
data/oc1output/cylinder-bands_17.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 68.63 #leaves = 3 max. depth = 2
fold 2: acc. = 62.75 #leaves = 54 max. depth = 17
fold 3: acc. = 74.51 #leaves = 58 max. depth = 15
fold 4: acc. = 61.76 #leaves = 55 max. depth = 10
fold 5: acc. = 68.27 #leaves = 57 max. depth = 19
accuracy = 67.19 #leaves = 45.40 max depth = 12.60

11
data/oc1output/cylinder-bands_1714.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 72.55 #leaves = 21 max. depth = 7
fold 2: acc. = 72.55 #leaves = 57 max. depth = 14
fold 3: acc. = 69.61 #leaves = 49 max. depth = 13
fold 4: acc. = 64.71 #leaves = 54 max. depth = 13
fold 5: acc. = 67.31 #leaves = 54 max. depth = 14
accuracy = 69.34 #leaves = 47.00 max depth = 12.20

11
data/oc1output/cylinder-bands_23.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 61.76 #leaves = 33 max. depth = 11
fold 2: acc. = 68.63 #leaves = 54 max. depth = 15
fold 3: acc. = 65.69 #leaves = 55 max. depth = 18
fold 4: acc. = 65.69 #leaves = 61 max. depth = 13
fold 5: acc. = 62.50 #leaves = 55 max. depth = 14
accuracy = 64.84 #leaves = 51.60 max depth = 14.20

11
data/oc1output/cylinder-bands_31.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 75.49 #leaves = 12 max. depth = 5
fold 2: acc. = 69.61 #leaves = 56 max. depth = 15
fold 3: acc. = 65.69 #leaves = 51 max. depth = 14
fold 4: acc. = 67.65 #leaves = 55 max. depth = 12
fold 5: acc. = 74.04 #leaves = 53 max. depth = 19
accuracy = 70.51 #leaves = 45.40 max depth = 13.00

11
data/oc1output/cylinder-bands_57.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 68.63 #leaves = 7 max. depth = 4
fold 2: acc. = 63.73 #leaves = 54 max. depth = 16
fold 3: acc. = 69.61 #leaves = 58 max. depth = 12
fold 4: acc. = 70.59 #leaves = 51 max. depth = 11
fold 5: acc. = 66.35 #leaves = 51 max. depth = 15
accuracy = 67.77 #leaves = 44.20 max depth = 11.60

11
data/oc1output/cylinder-bands_7.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 63.73 #leaves = 28 max. depth = 12
fold 2: acc. = 67.65 #leaves = 63 max. depth = 14
fold 3: acc. = 65.69 #leaves = 50 max. depth = 10
fold 4: acc. = 67.65 #leaves = 57 max. depth = 12
fold 5: acc. = 72.12 #leaves = 52 max. depth = 15
accuracy = 67.38 #leaves = 50.00 max depth = 12.60

11
data/oc1output/cylinder-bands_79.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 63.73 #leaves = 4 max. depth = 3
fold 2: acc. = 66.67 #leaves = 58 max. depth = 11
fold 3: acc. = 73.53 #leaves = 56 max. depth = 12
fold 4: acc. = 73.53 #leaves = 56 max. depth = 14
fold 5: acc. = 57.69 #leaves = 59 max. depth = 11
accuracy = 66.99 #leaves = 46.60 max depth = 10.20

11
data/oc1output/cylinder-bands_83.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 68.63 #leaves = 2 max. depth = 1
fold 2: acc. = 76.47 #leaves = 58 max. depth = 11
fold 3: acc. = 71.57 #leaves = 54 max. depth = 14
fold 4: acc. = 63.73 #leaves = 58 max. depth = 10
fold 5: acc. = 67.31 #leaves = 57 max. depth = 13
accuracy = 69.53 #leaves = 45.80 max depth = 9.80

11
data/oc1output/cylinder-bands_97.txt
View File

@@ -1,11 +0,0 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to data/csv/cylinder-bands.csv.dt.
Unpruned decision tree written to data/csv/cylinder-bands.csv.dt.unpruned.
fold 1: acc. = 69.61 #leaves = 2 max. depth = 1
fold 2: acc. = 61.76 #leaves = 48 max. depth = 10
fold 3: acc. = 66.67 #leaves = 58 max. depth = 13
fold 4: acc. = 70.59 #leaves = 54 max. depth = 13
fold 5: acc. = 73.08 #leaves = 59 max. depth = 12
accuracy = 68.36 #leaves = 44.20 max depth = 9.80

Some files were not shown because too many files have changed in this diff Show More