I want to read the csv file information so that the algorithm has the ability to guess the gender of individuals. The program guesses people through height, weight, and gender footwear numbers.
But I'm faced with this error and I can not fix it:
y.append(line[4])
IndexError: list index out of range
height,weight,n_shoes,sexuality
190,88,44,male
167,66,36,female
182,80,42,male
177,78,43,male
164,59,35,female
183,79,40,male
158,57,36,female
155,52,34,female
193,89,45,male
163,54,35,female
Code:
import csv
from sklearn import tree
x = []
y = []
with open('people.csv' , 'r') as csvfile:
data = csv.reader(csvfile)
for line in data:
x.append(line[1:4])
y.append(line[4])
clf = tree.DecisionTreeClassifier()
clf = clf.fit(x , y)
new_data = [[190,89,43] , [160,56,39]]
answer = clf.predict(new_data)
print(answer[0])
print(answer[1])
I want to read the csv file information so that the algorithm has the ability to guess the gender of individuals.
Read the new data from the new_data
variable and guess the personality of the person.
For example:
[190 , 89 , 42] ==> male
[162 , 59 , 37] ==> female