Update 10 seeds for oc1 experiments

This commit is contained in:
2021-03-12 12:08:55 +01:00
parent 9cc4cb88ad
commit 0329fa2777
540 changed files with 8728 additions and 833 deletions

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@@ -1,16 +0,0 @@
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
***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

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

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

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

View File

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

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

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

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

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

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

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

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@@ -1,15 +0,0 @@
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
***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

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

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

View File

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

View File

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

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,15 +0,0 @@
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
***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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

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

View File

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

View File

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

View File

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

View File

@@ -1,16 +0,0 @@
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
***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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,16 +0,0 @@
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
***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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -0,0 +1,17 @@
Remapping class numbers:
0 To 1
1 To 2
Pruned decision tree written to csv/breast-cancer-wisc.csv.dt.
Unpruned decision tree written to csv/breast-cancer-wisc.csv.dt.unpruned.
fold 1: acc. = 92.81 #leaves = 2 max. depth = 1
fold 2: acc. = 94.24 #leaves = 15 max. depth = 10
fold 3: acc. = 94.96 #leaves = 15 max. depth = 10
fold 4: acc. = 94.96 #leaves = 13 max. depth = 7
fold 5: acc. = 95.10 #leaves = 16 max. depth = 8
***1***0.9280576***0.2269400***
***2***0.9424461***0.2161370***
***3***0.9496403***0.1876140***
***4***0.9496403***0.2069930***
***5***0.9510490***0.2072890***
accuracy = 94.42 #leaves = 12.20 max depth = 7.20

View File

@@ -1,16 +0,0 @@
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
***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

View File

@@ -0,0 +1,17 @@
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. = 77.19 #leaves = 2 max. depth = 1
fold 2: acc. = 70.18 #leaves = 38 max. depth = 11
fold 3: acc. = 68.42 #leaves = 27 max. depth = 11
fold 4: acc. = 52.63 #leaves = 24 max. depth = 8
fold 5: acc. = 62.07 #leaves = 29 max. depth = 11
***1***0.7719299***0.0847840***
***2***0.7017544***0.0964460***
***3***0.6842105***0.0933660***
***4***0.5263158***0.0970090***
***5***0.6206896***0.0877510***
accuracy = 66.08 #leaves = 24.00 max depth = 8.40

View File

@@ -0,0 +1,17 @@
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. = 68.42 #leaves = 2 max. depth = 1
fold 2: acc. = 64.91 #leaves = 30 max. depth = 9
fold 3: acc. = 64.91 #leaves = 32 max. depth = 9
fold 4: acc. = 59.65 #leaves = 35 max. depth = 9
fold 5: acc. = 65.52 #leaves = 27 max. depth = 8
***1***0.6842105***0.0796580***
***2***0.6491228***0.0815700***
***3***0.6491228***0.0742300***
***4***0.5964912***0.0751060***
***5***0.6551724***0.0738900***
accuracy = 64.69 #leaves = 25.20 max depth = 7.20

View File

@@ -0,0 +1,17 @@
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. = 82.46 #leaves = 3 max. depth = 2
fold 2: acc. = 61.40 #leaves = 38 max. depth = 12
fold 3: acc. = 64.91 #leaves = 36 max. depth = 10
fold 4: acc. = 59.65 #leaves = 37 max. depth = 9
fold 5: acc. = 67.24 #leaves = 28 max. depth = 9
***1***0.8245614***0.0901120***
***2***0.6140351***0.0997440***
***3***0.6491228***0.1043590***
***4***0.5964912***0.0700220***
***5***0.6724138***0.0846340***
accuracy = 67.13 #leaves = 28.40 max depth = 8.40

View File

@@ -0,0 +1,17 @@
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. = 77.19 #leaves = 3 max. depth = 2
fold 2: acc. = 73.68 #leaves = 32 max. depth = 8
fold 3: acc. = 64.91 #leaves = 31 max. depth = 10
fold 4: acc. = 68.42 #leaves = 35 max. depth = 12
fold 5: acc. = 58.62 #leaves = 27 max. depth = 10
***1***0.7719299***0.0639300***
***2***0.7368421***0.0794630***
***3***0.6491228***0.0939440***
***4***0.6842105***0.0973290***
***5***0.5862069***0.1153730***
accuracy = 68.53 #leaves = 25.60 max depth = 8.40

View File

@@ -0,0 +1,17 @@
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 = 2 max. depth = 1
fold 2: acc. = 77.19 #leaves = 32 max. depth = 9
fold 3: acc. = 57.89 #leaves = 36 max. depth = 12
fold 4: acc. = 78.95 #leaves = 37 max. depth = 10
fold 5: acc. = 60.34 #leaves = 44 max. depth = 13
***1***0.6491228***0.0951730***
***2***0.7719299***0.1011500***
***3***0.5789474***0.0866760***
***4***0.7894737***0.0777440***
***5***0.6034483***0.0972860***
accuracy = 67.83 #leaves = 30.20 max depth = 9.00

View File

@@ -0,0 +1,17 @@
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. = 70.18 #leaves = 2 max. depth = 1
fold 2: acc. = 68.42 #leaves = 33 max. depth = 10
fold 3: acc. = 66.67 #leaves = 41 max. depth = 13
fold 4: acc. = 68.42 #leaves = 34 max. depth = 8
fold 5: acc. = 60.34 #leaves = 30 max. depth = 11
***1***0.7017544***0.0875370***
***2***0.6842105***0.0964160***
***3***0.6666666***0.1188470***
***4***0.6842105***0.0871830***
***5***0.6034483***0.1196570***
accuracy = 66.78 #leaves = 28.00 max depth = 8.60

View File

@@ -0,0 +1,17 @@
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 = 2 max. depth = 1
fold 2: acc. = 63.16 #leaves = 33 max. depth = 14
fold 3: acc. = 52.63 #leaves = 34 max. depth = 13
fold 4: acc. = 63.16 #leaves = 33 max. depth = 9
fold 5: acc. = 60.34 #leaves = 33 max. depth = 10
***1***0.6491228***0.0664590***
***2***0.6315789***0.0744390***
***3***0.5263158***0.1135000***
***4***0.6315789***0.0700180***
***5***0.6034483***0.0725880***
accuracy = 60.84 #leaves = 27.00 max depth = 9.40

View File

@@ -0,0 +1,17 @@
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. = 63.16 #leaves = 4 max. depth = 3
fold 2: acc. = 52.63 #leaves = 36 max. depth = 13
fold 3: acc. = 63.16 #leaves = 37 max. depth = 11
fold 4: acc. = 64.91 #leaves = 32 max. depth = 8
fold 5: acc. = 68.97 #leaves = 34 max. depth = 12
***1***0.6315789***0.0825660***
***2***0.5263158***0.0912040***
***3***0.6315789***0.0866260***
***4***0.6491228***0.0859780***
***5***0.6896551***0.0987720***
accuracy = 62.59 #leaves = 28.60 max depth = 9.40

View File

@@ -0,0 +1,17 @@
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. = 63.16 #leaves = 19 max. depth = 12
fold 2: acc. = 61.40 #leaves = 37 max. depth = 10
fold 3: acc. = 66.67 #leaves = 35 max. depth = 12
fold 4: acc. = 66.67 #leaves = 37 max. depth = 11
fold 5: acc. = 65.52 #leaves = 34 max. depth = 11
***1***0.6315789***0.0942190***
***2***0.6140351***0.0848180***
***3***0.6666666***0.0806680***
***4***0.6666666***0.0983590***
***5***0.6551724***0.1042520***
accuracy = 64.69 #leaves = 32.40 max depth = 11.20

View File

@@ -0,0 +1,17 @@
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. = 70.18 #leaves = 3 max. depth = 2
fold 2: acc. = 57.89 #leaves = 38 max. depth = 12
fold 3: acc. = 66.67 #leaves = 34 max. depth = 11
fold 4: acc. = 49.12 #leaves = 33 max. depth = 12
fold 5: acc. = 58.62 #leaves = 29 max. depth = 13
***1***0.7017544***0.0811010***
***2***0.5789474***0.0879400***
***3***0.6666666***0.1088490***
***4***0.4912281***0.1171100***
***5***0.5862069***0.1077420***
accuracy = 60.49 #leaves = 27.40 max depth = 10.00

View File

@@ -1,23 +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 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
***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

View File

@@ -0,0 +1,24 @@
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. = 79.29 #leaves = 25 max. depth = 7
fold 2: acc. = 78.35 #leaves = 144 max. depth = 15
fold 3: acc. = 81.65 #leaves = 150 max. depth = 16
fold 4: acc. = 78.35 #leaves = 151 max. depth = 15
fold 5: acc. = 82.39 #leaves = 147 max. depth = 14
***1***0.7929412***4.2463930***
***2***0.7835295***4.6111680***
***3***0.8164706***4.3294350***
***4***0.7835295***4.1180720***
***5***0.8239436***4.3890430***
accuracy = 80.01 #leaves = 123.40 max depth = 13.40

View File

@@ -0,0 +1,24 @@
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. = 80.00 #leaves = 59 max. depth = 9
fold 2: acc. = 78.12 #leaves = 139 max. depth = 14
fold 3: acc. = 78.82 #leaves = 120 max. depth = 15
fold 4: acc. = 78.35 #leaves = 134 max. depth = 16
fold 5: acc. = 84.04 #leaves = 150 max. depth = 16
***1***0.8000000***4.0090860***
***2***0.7811764***4.2283330***
***3***0.7882353***4.4313790***
***4***0.7835295***4.4770340***
***5***0.8403756***4.4958520***
accuracy = 79.87 #leaves = 120.40 max depth = 14.00

View File

@@ -0,0 +1,24 @@
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. = 79.53 #leaves = 68 max. depth = 11
fold 2: acc. = 76.47 #leaves = 136 max. depth = 16
fold 3: acc. = 79.76 #leaves = 143 max. depth = 13
fold 4: acc. = 78.59 #leaves = 140 max. depth = 13
fold 5: acc. = 82.86 #leaves = 153 max. depth = 13
***1***0.7952941***4.9105050***
***2***0.7647059***4.3128380***
***3***0.7976471***3.8785230***
***4***0.7858824***3.8168190***
***5***0.8286386***4.1117250***
accuracy = 79.44 #leaves = 128.00 max depth = 13.20

View File

@@ -0,0 +1,24 @@
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. = 83.06 #leaves = 30 max. depth = 9
fold 2: acc. = 77.65 #leaves = 136 max. depth = 12
fold 3: acc. = 80.47 #leaves = 144 max. depth = 15
fold 4: acc. = 80.94 #leaves = 146 max. depth = 15
fold 5: acc. = 79.11 #leaves = 137 max. depth = 15
***1***0.8305882***4.3017500***
***2***0.7764705***3.9005570***
***3***0.8047059***4.2524760***
***4***0.8094118***4.4151340***
***5***0.7910798***4.4396320***
accuracy = 80.24 #leaves = 118.60 max depth = 13.20

View File

@@ -0,0 +1,24 @@
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. = 75.29 #leaves = 119 max. depth = 12
fold 2: acc. = 76.00 #leaves = 143 max. depth = 12
fold 3: acc. = 76.00 #leaves = 135 max. depth = 14
fold 4: acc. = 81.18 #leaves = 145 max. depth = 13
fold 5: acc. = 79.81 #leaves = 140 max. depth = 19
***1***0.7529412***4.6402080***
***2***0.7600000***3.8605410***
***3***0.7600000***3.8240540***
***4***0.8117647***3.8001910***
***5***0.7981221***4.5498510***
accuracy = 77.66 #leaves = 136.40 max depth = 14.00

View File

@@ -0,0 +1,24 @@
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. = 80.71 #leaves = 32 max. depth = 8
fold 2: acc. = 81.65 #leaves = 131 max. depth = 13
fold 3: acc. = 79.53 #leaves = 154 max. depth = 15
fold 4: acc. = 76.94 #leaves = 138 max. depth = 14
fold 5: acc. = 81.69 #leaves = 136 max. depth = 14
***1***0.8070588***4.2214090***
***2***0.8164706***4.1196520***
***3***0.7952941***3.7131420***
***4***0.7694118***4.1483100***
***5***0.8169014***4.3397420***
accuracy = 80.10 #leaves = 118.20 max depth = 12.80

View File

@@ -0,0 +1,24 @@
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. = 79.29 #leaves = 26 max. depth = 8
fold 2: acc. = 81.18 #leaves = 126 max. depth = 13
fold 3: acc. = 80.47 #leaves = 152 max. depth = 15
fold 4: acc. = 81.65 #leaves = 152 max. depth = 15
fold 5: acc. = 78.87 #leaves = 137 max. depth = 15
***1***0.7929412***4.2163830***
***2***0.8117647***4.0161070***
***3***0.8047059***4.1042370***
***4***0.8164706***4.2381390***
***5***0.7887323***4.5251100***
accuracy = 80.29 #leaves = 118.60 max depth = 13.20

View File

@@ -0,0 +1,24 @@
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. = 80.24 #leaves = 37 max. depth = 8
fold 2: acc. = 78.35 #leaves = 140 max. depth = 16
fold 3: acc. = 80.47 #leaves = 157 max. depth = 15
fold 4: acc. = 80.94 #leaves = 145 max. depth = 13
fold 5: acc. = 75.59 #leaves = 144 max. depth = 15
***1***0.8023529***4.4642930***
***2***0.7835295***4.5159340***
***3***0.8047059***4.2345490***
***4***0.8094118***3.9866590***
***5***0.7558686***4.1499620***
accuracy = 79.12 #leaves = 124.60 max depth = 13.40

View File

@@ -0,0 +1,24 @@
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. = 78.35 #leaves = 50 max. depth = 9
fold 2: acc. = 80.47 #leaves = 131 max. depth = 12
fold 3: acc. = 78.12 #leaves = 140 max. depth = 15
fold 4: acc. = 80.71 #leaves = 140 max. depth = 13
fold 5: acc. = 80.05 #leaves = 143 max. depth = 13
***1***0.7835295***3.9297190***
***2***0.8047059***3.8032080***
***3***0.7811764***4.0422200***
***4***0.8070588***4.3631000***
***5***0.8004695***4.4093980***
accuracy = 79.54 #leaves = 120.80 max depth = 12.40

View File

@@ -0,0 +1,24 @@
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. = 79.06 #leaves = 13 max. depth = 6
fold 2: acc. = 79.29 #leaves = 143 max. depth = 15
fold 3: acc. = 78.59 #leaves = 141 max. depth = 14
fold 4: acc. = 80.47 #leaves = 141 max. depth = 14
fold 5: acc. = 78.87 #leaves = 140 max. depth = 13
***1***0.7905882***4.6370880***
***2***0.7929412***4.4581710***
***3***0.7858824***4.2986690***
***4***0.8047059***4.3381490***
***5***0.7887323***4.1166070***
accuracy = 79.26 #leaves = 115.60 max depth = 12.40

View File

@@ -1,16 +0,0 @@
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
***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

View File

@@ -0,0 +1,17 @@
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. = 89.18 #leaves = 26 max. depth = 9
fold 2: acc. = 90.35 #leaves = 60 max. depth = 10
fold 3: acc. = 89.41 #leaves = 63 max. depth = 12
fold 4: acc. = 89.18 #leaves = 59 max. depth = 9
fold 5: acc. = 91.08 #leaves = 59 max. depth = 11
***1***0.8917647***2.3085040***
***2***0.9035294***2.2226780***
***3***0.8941177***2.7869880***
***4***0.8917647***2.0607340***
***5***0.9107981***1.8594600***
accuracy = 89.84 #leaves = 53.40 max depth = 10.20

View File

@@ -0,0 +1,17 @@
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 = 24 max. depth = 8
fold 2: acc. = 90.82 #leaves = 65 max. depth = 14
fold 3: acc. = 92.24 #leaves = 71 max. depth = 12
fold 4: acc. = 90.82 #leaves = 47 max. depth = 9
fold 5: acc. = 91.55 #leaves = 51 max. depth = 10
***1***0.8847059***2.3979710***
***2***0.9082353***2.5644430***
***3***0.9223529***1.9188530***
***4***0.9082353***1.7458620***
***5***0.9154930***1.7013460***
accuracy = 90.78 #leaves = 51.60 max depth = 10.60

View File

@@ -0,0 +1,17 @@
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. = 88.00 #leaves = 52 max. depth = 8
fold 2: acc. = 88.24 #leaves = 54 max. depth = 10
fold 3: acc. = 92.00 #leaves = 45 max. depth = 10
fold 4: acc. = 90.12 #leaves = 60 max. depth = 12
fold 5: acc. = 90.61 #leaves = 55 max. depth = 10
***1***0.8800000***1.8695860***
***2***0.8823529***2.4264710***
***3***0.9200000***1.9366670***
***4***0.9011765***2.6093690***
***5***0.9061033***1.8976270***
accuracy = 89.79 #leaves = 53.20 max depth = 10.00

View File

@@ -0,0 +1,17 @@
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. = 91.53 #leaves = 44 max. depth = 10
fold 2: acc. = 91.53 #leaves = 53 max. depth = 9
fold 3: acc. = 92.47 #leaves = 61 max. depth = 11
fold 4: acc. = 86.82 #leaves = 49 max. depth = 12
fold 5: acc. = 90.38 #leaves = 65 max. depth = 11
***1***0.9152941***2.9084220***
***2***0.9152941***2.3405790***
***3***0.9247059***1.9581100***
***4***0.8682353***1.7472990***
***5***0.9037559***2.8912850***
accuracy = 90.55 #leaves = 54.40 max depth = 10.60

View File

@@ -0,0 +1,17 @@
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. = 89.65 #leaves = 30 max. depth = 7
fold 2: acc. = 90.35 #leaves = 63 max. depth = 12
fold 3: acc. = 88.24 #leaves = 61 max. depth = 10
fold 4: acc. = 94.12 #leaves = 66 max. depth = 15
fold 5: acc. = 89.44 #leaves = 72 max. depth = 14
***1***0.8964705***2.7009270***
***2***0.9035294***2.7275440***
***3***0.8823529***2.6418690***
***4***0.9411765***2.8216410***
***5***0.8943662***1.9480540***
accuracy = 90.36 #leaves = 58.40 max depth = 11.60

View File

@@ -0,0 +1,17 @@
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. = 88.71 #leaves = 23 max. depth = 8
fold 2: acc. = 91.06 #leaves = 56 max. depth = 12
fold 3: acc. = 90.35 #leaves = 71 max. depth = 10
fold 4: acc. = 89.41 #leaves = 45 max. depth = 10
fold 5: acc. = 89.91 #leaves = 63 max. depth = 11
***1***0.8870588***2.6441690***
***2***0.9105882***2.4408990***
***3***0.9035294***2.0894460***
***4***0.8941177***2.5960530***
***5***0.8990610***2.3812240***
accuracy = 89.89 #leaves = 51.60 max depth = 10.20

View File

@@ -0,0 +1,17 @@
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. = 87.29 #leaves = 8 max. depth = 4
fold 2: acc. = 89.18 #leaves = 60 max. depth = 9
fold 3: acc. = 88.94 #leaves = 62 max. depth = 11
fold 4: acc. = 91.06 #leaves = 60 max. depth = 11
fold 5: acc. = 91.55 #leaves = 65 max. depth = 11
***1***0.8729412***2.2391680***
***2***0.8917647***2.3243460***
***3***0.8894117***3.0627450***
***4***0.9105882***2.4887820***
***5***0.9154930***2.0479040***
accuracy = 89.60 #leaves = 51.00 max depth = 9.20

View File

@@ -0,0 +1,17 @@
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. = 87.53 #leaves = 18 max. depth = 7
fold 2: acc. = 90.82 #leaves = 64 max. depth = 13
fold 3: acc. = 91.29 #leaves = 67 max. depth = 12
fold 4: acc. = 91.53 #leaves = 59 max. depth = 9
fold 5: acc. = 89.91 #leaves = 64 max. depth = 11
***1***0.8752941***2.5343950***
***2***0.9082353***2.8983600***
***3***0.9129412***2.8066280***
***4***0.9152941***2.2954370***
***5***0.8990610***1.9217450***
accuracy = 90.22 #leaves = 54.40 max depth = 10.40

View File

@@ -0,0 +1,17 @@
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. = 90.35 #leaves = 14 max. depth = 6
fold 2: acc. = 88.24 #leaves = 55 max. depth = 10
fold 3: acc. = 90.12 #leaves = 64 max. depth = 11
fold 4: acc. = 87.06 #leaves = 49 max. depth = 11
fold 5: acc. = 88.50 #leaves = 68 max. depth = 13
***1***0.9035294***2.4677220***
***2***0.8823529***2.5071110***
***3***0.9011765***2.2716040***
***4***0.8705882***2.3749570***
***5***0.8849765***2.4583330***
accuracy = 88.85 #leaves = 50.00 max depth = 10.20

View File

@@ -0,0 +1,17 @@
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. = 88.24 #leaves = 28 max. depth = 7
fold 2: acc. = 88.47 #leaves = 49 max. depth = 11
fold 3: acc. = 92.47 #leaves = 60 max. depth = 11
fold 4: acc. = 92.47 #leaves = 50 max. depth = 10
fold 5: acc. = 88.03 #leaves = 59 max. depth = 10
***1***0.8823529***3.2171840***
***2***0.8847059***2.0485780***
***3***0.9247059***2.6363170***
***4***0.9247059***1.4491240***
***5***0.8802817***2.4254690***
accuracy = 89.93 #leaves = 49.20 max depth = 9.80

View File

@@ -1,15 +0,0 @@
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
***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

View File

@@ -0,0 +1,16 @@
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. = 70.73 #leaves = 4 max. depth = 3
fold 2: acc. = 75.61 #leaves = 13 max. depth = 6
fold 3: acc. = 78.05 #leaves = 13 max. depth = 4
fold 4: acc. = 63.41 #leaves = 15 max. depth = 6
fold 5: acc. = 65.91 #leaves = 14 max. depth = 6
***1***0.7073171***0.0922080***
***2***0.7560976***0.1109690***
***3***0.7804878***0.1009340***
***4***0.6341463***0.1032160***
***5***0.6590909***0.1106560***
accuracy = 70.67 #leaves = 11.80 max depth = 5.00

View File

@@ -0,0 +1,16 @@
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. = 63.41 #leaves = 2 max. depth = 1
fold 2: acc. = 70.73 #leaves = 16 max. depth = 7
fold 3: acc. = 78.05 #leaves = 15 max. depth = 5
fold 4: acc. = 75.61 #leaves = 13 max. depth = 6
fold 5: acc. = 72.73 #leaves = 14 max. depth = 6
***1***0.6341463***0.1017780***
***2***0.7073171***0.0974580***
***3***0.7804878***0.0922170***
***4***0.7560976***0.1008960***
***5***0.7272727***0.0948800***
accuracy = 72.12 #leaves = 12.00 max depth = 5.00

View File

@@ -0,0 +1,16 @@
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. = 75.61 #leaves = 4 max. depth = 3
fold 2: acc. = 75.61 #leaves = 13 max. depth = 5
fold 3: acc. = 78.05 #leaves = 13 max. depth = 6
fold 4: acc. = 75.61 #leaves = 12 max. depth = 5
fold 5: acc. = 70.45 #leaves = 15 max. depth = 7
***1***0.7560976***0.1049900***
***2***0.7560976***0.0978020***
***3***0.7804878***0.1060490***
***4***0.7560976***0.0983860***
***5***0.7045454***0.0917880***
accuracy = 75.00 #leaves = 11.40 max depth = 5.20

View File

@@ -0,0 +1,16 @@
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. = 70.73 #leaves = 9 max. depth = 6
fold 2: acc. = 60.98 #leaves = 16 max. depth = 7
fold 3: acc. = 68.29 #leaves = 19 max. depth = 7
fold 4: acc. = 68.29 #leaves = 16 max. depth = 7
fold 5: acc. = 65.91 #leaves = 13 max. depth = 5
***1***0.7073171***0.1050450***
***2***0.6097561***0.1028100***
***3***0.6829269***0.0915690***
***4***0.6829269***0.1030680***
***5***0.6590909***0.0935480***
accuracy = 66.83 #leaves = 14.60 max depth = 6.40

View File

@@ -0,0 +1,16 @@
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. = 60.98 #leaves = 2 max. depth = 1
fold 2: acc. = 82.93 #leaves = 14 max. depth = 6
fold 3: acc. = 75.61 #leaves = 16 max. depth = 5
fold 4: acc. = 73.17 #leaves = 16 max. depth = 6
fold 5: acc. = 61.36 #leaves = 16 max. depth = 7
***1***0.6097561***0.0922700***
***2***0.8292683***0.0922870***
***3***0.7560976***0.1025880***
***4***0.7317073***0.0992690***
***5***0.6136364***0.0923970***
accuracy = 70.67 #leaves = 12.80 max depth = 5.00

View File

@@ -0,0 +1,16 @@
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. = 80.49 #leaves = 2 max. depth = 1
fold 2: acc. = 51.22 #leaves = 16 max. depth = 9
fold 3: acc. = 68.29 #leaves = 14 max. depth = 6
fold 4: acc. = 82.93 #leaves = 15 max. depth = 6
fold 5: acc. = 72.73 #leaves = 14 max. depth = 7
***1***0.8048781***0.1008370***
***2***0.5121951***0.1056580***
***3***0.6829269***0.1085170***
***4***0.8292683***0.0956850***
***5***0.7272727***0.0965890***
accuracy = 71.15 #leaves = 12.20 max depth = 5.80

View File

@@ -0,0 +1,16 @@
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 = 4 max. depth = 3
fold 2: acc. = 60.98 #leaves = 13 max. depth = 6
fold 3: acc. = 73.17 #leaves = 16 max. depth = 6
fold 4: acc. = 70.73 #leaves = 16 max. depth = 6
fold 5: acc. = 77.27 #leaves = 16 max. depth = 6
***1***0.6829269***0.1045810***
***2***0.6097561***0.1003340***
***3***0.7317073***0.0989410***
***4***0.7073171***0.1008780***
***5***0.7727273***0.0967810***
accuracy = 70.19 #leaves = 13.00 max depth = 5.40

View File

@@ -0,0 +1,16 @@
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. = 63.41 #leaves = 2 max. depth = 1
fold 2: acc. = 56.10 #leaves = 12 max. depth = 5
fold 3: acc. = 75.61 #leaves = 15 max. depth = 6
fold 4: acc. = 73.17 #leaves = 14 max. depth = 6
fold 5: acc. = 65.91 #leaves = 15 max. depth = 9
***1***0.6341463***0.0971340***
***2***0.5609756***0.1015220***
***3***0.7560976***0.1032050***
***4***0.7317073***0.1071910***
***5***0.6590909***0.0973120***
accuracy = 66.83 #leaves = 11.60 max depth = 5.40

View File

@@ -0,0 +1,16 @@
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. = 75.61 #leaves = 2 max. depth = 1
fold 2: acc. = 73.17 #leaves = 12 max. depth = 6
fold 3: acc. = 73.17 #leaves = 13 max. depth = 5
fold 4: acc. = 80.49 #leaves = 13 max. depth = 6
fold 5: acc. = 59.09 #leaves = 15 max. depth = 6
***1***0.7560976***0.1047400***
***2***0.7317073***0.0907510***
***3***0.7317073***0.1005790***
***4***0.8048781***0.0986990***
***5***0.5909091***0.1042590***
accuracy = 72.12 #leaves = 11.00 max depth = 4.80

View File

@@ -0,0 +1,16 @@
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. = 73.17 #leaves = 8 max. depth = 6
fold 2: acc. = 68.29 #leaves = 14 max. depth = 7
fold 3: acc. = 70.73 #leaves = 14 max. depth = 6
fold 4: acc. = 78.05 #leaves = 17 max. depth = 6
fold 5: acc. = 84.09 #leaves = 16 max. depth = 9
***1***0.7317073***0.0998530***
***2***0.6829269***0.1019360***
***3***0.7073171***0.1025230***
***4***0.7804878***0.1119640***
***5***0.8409091***0.0960890***
accuracy = 75.00 #leaves = 13.80 max depth = 6.80

View File

@@ -1,16 +0,0 @@
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
***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

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