Doctorado-ML/stree_datasets
1
0
Fork 0
mirror of https://github.com/Doctorado-ML/Stree_datasets.git synced 2025-08-16 07:56:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix normalize error

Browse Source
This commit is contained in:
Ricardo Montañana Gómez
2021-04-11 02:21:25 +02:00
parent 40d9b02ef2
commit dd83175508
554 changed files with 3891 additions and 7360 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
data/oc1output/balance-scale_17.txt
View File

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