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/libras_1714.txt
View File

@@ -14,17 +14,11 @@ Remapping class numbers:
12 To 13
13 To 14
14 To 15
Pruned decision tree written to csv/libras.csv.dt.
Unpruned decision tree written to csv/libras.csv.dt.unpruned.
fold 1: acc. = 68.06 #leaves = 30 max. depth = 7
fold 2: acc. = 54.17 #leaves = 65 max. depth = 9
fold 3: acc. = 66.67 #leaves = 61 max. depth = 9
fold 4: acc. = 62.50 #leaves = 66 max. depth = 8
fold 5: acc. = 72.22 #leaves = 59 max. depth = 9
***1***0.6805556***0.6177150***
***2***0.5416667***0.5855280***
***3***0.6666666***0.5311870***
***4***0.6250000***0.5854200***
***5***0.7222222***0.5870320***
accuracy = 64.72 #leaves = 56.20 max depth = 8.40
Pruned decision tree written to data/csv/libras.csv.dt.
Unpruned decision tree written to data/csv/libras.csv.dt.unpruned.
fold 1: acc. = 73.61 #leaves = 61 max. depth = 9
fold 2: acc. = 56.94 #leaves = 60 max. depth = 11
fold 3: acc. = 62.50 #leaves = 63 max. depth = 8
fold 4: acc. = 69.44 #leaves = 59 max. depth = 8
fold 5: acc. = 68.06 #leaves = 61 max. depth = 9
accuracy = 66.11 #leaves = 60.80 max depth = 9.00