Doctorado-ML/stree_datasets
1
0
Fork 0
mirror of https://github.com/Doctorado-ML/Stree_datasets.git synced 2025-08-17 16:36:02 +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/wine_83.txt
View File

@@ -2,17 +2,11 @@ Remapping class numbers:
0 To 1
1 To 2
2 To 3
Pruned decision tree written to csv/wine.csv.dt.
Unpruned decision tree written to csv/wine.csv.dt.unpruned.
fold 1: acc. = 85.71 #leaves = 4 max. depth = 2
fold 2: acc. = 88.57 #leaves = 6 max. depth = 4
fold 3: acc. = 91.43 #leaves = 4 max. depth = 3
fold 4: acc. = 88.57 #leaves = 6 max. depth = 3
fold 5: acc. = 94.74 #leaves = 5 max. depth = 3
***1***0.8571429***0.0566350***
***2***0.8857143***0.0430910***
***3***0.9142857***0.0376860***
***4***0.8857143***0.0418970***
***5***0.9473684***0.0322240***
accuracy = 89.89 #leaves = 5.00 max depth = 3.00
Pruned decision tree written to data/csv/wine.csv.dt.
Unpruned decision tree written to data/csv/wine.csv.dt.unpruned.
fold 1: acc. = 85.71 #leaves = 3 max. depth = 2
fold 2: acc. = 91.43 #leaves = 6 max. depth = 3
fold 3: acc. = 80.00 #leaves = 5 max. depth = 3
fold 4: acc. = 97.14 #leaves = 7 max. depth = 4
fold 5: acc. = 97.37 #leaves = 7 max. depth = 3
accuracy = 90.45 #leaves = 5.60 max depth = 3.00