CT = read.csv(header = TRUE,"CT.csv")
model = C5.0(CT[1:14,-5],CT[1:14,5])
print(summary(model))

## 
## Call:
## C5.0.default(x = CT[1:14, -5], y = CT[1:14, 5])
## 
## 
## C5.0 [Release 2.07 GPL Edition]      Fri Jul 26 15:35:52 2019
## -------------------------------
## 
## Class specified by attribute `outcome'
## 
## Read 14 cases (5 attributes) from undefined.data
## 
## Decision tree:
## 
## Age = 31-40: yes (4)
## Age = <=30:
## :...Student = no: no (3)
## :   Student = yes: yes (2)
## Age = >40:
## :...Credit_rating = excellent: no (2)
##     Credit_rating = fair: yes (3)
## 
## 
## Evaluation on training data (14 cases):
## 
##      Decision Tree   
##    ----------------  
##    Size      Errors  
## 
##       5    0( 0.0%)   <<
## 
## 
##     (a)   (b)    <-classified as
##    ----  ----
##       5          (a): class no
##             9    (b): class yes
## 
## 
##  Attribute usage:
## 
##  100.00% Age
##   35.71% Student
##   35.71% Credit_rating
## 
## 
## Time: 0.0 secs

plot(model)