Sklearn Python Example

AppleOrOrange.py

# source https://www.youtube.com/watch?v=cKxRvEZd3Mw
from sklearn import tree;
# 0 for bumpy
# 1 for smooth
features = [[140,1], [130,1], [150,0], [170,0]]

#0 for apple 
#1 for orange
labels = [0 ,0, 1, 1];


# this is for classifier 
# for now this is empty box of rules 
clf = tree.DecisionTreeClassifier();

# fit() helps us in finding patterns in taining data 
clf = clf.fit(features, labels);

# now lets predict the fruit first input is weight and second is bumpty or smooth
clf = clf.predict([[143, 1]]);

# if you see the output it will give you whether its Apple or Orange 
print(clf);