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/pima_79.txt
View File

@@ -1,16 +1,10 @@
Remapping class numbers:
0 To 2
Pruned decision tree written to csv/pima.csv.dt.
Unpruned decision tree written to csv/pima.csv.dt.unpruned.
fold 1: acc. = 72.55 #leaves = 2 max. depth = 1
fold 2: acc. = 65.36 #leaves = 57 max. depth = 10
fold 3: acc. = 67.97 #leaves = 66 max. depth = 13
fold 4: acc. = 72.55 #leaves = 64 max. depth = 16
fold 5: acc. = 67.95 #leaves = 65 max. depth = 11
***1***0.7254902***0.3944220***
***2***0.6535947***0.3546720***
***3***0.6797385***0.4508840***
***4***0.7254902***0.3647160***
***5***0.6794872***0.3714400***
accuracy = 69.27 #leaves = 50.80 max depth = 10.20
Pruned decision tree written to data/csv/pima.csv.dt.
Unpruned decision tree written to data/csv/pima.csv.dt.unpruned.
fold 1: acc. = 73.20 #leaves = 77 max. depth = 14
fold 2: acc. = 67.32 #leaves = 75 max. depth = 13
fold 3: acc. = 67.32 #leaves = 73 max. depth = 15
fold 4: acc. = 64.71 #leaves = 85 max. depth = 13
fold 5: acc. = 69.87 #leaves = 76 max. depth = 13
accuracy = 68.49 #leaves = 77.20 max depth = 13.60