Decision tree algorithm

from sklearn.datasets import load_iris
>>> from sklearn import tree
>>> X, y = load_iris(return_X_y=True)
>>> clf = tree.DecisionTreeClassifier()
>>> clf = clf.fit(X, y)

Source: scikit-learn.org

Decision trees

Training Data Set Accuracy:  0.9610705596107056
Training Data F1 Score  0.972027972027972
Validation Mean F1 Score:  0.6348494236272646
Validation Mean Accuracy:  0.7030561269468117

-2

Similar codes

1 vote180 views1 answer
Upgrade python to 3.9 i linux
Python
0 vote151 views1 answer
Customise django admin edit model button in field
Python
1 vote180 views1 answer
Create age-groups in pandas
Python
0 vote159 views1 answer
Read page source from text file python
Python
1 vote166 views1 answer
Who is rishi smaran = "RISHI SMARAN IS A 12 YEAR OLD NAUGHTY KID WHO CREATED ME"
Python
1 vote213 views6 answers
Quick sort python
Python
6 votes188 views1 answer
Load images pygame
Python
0 vote170 views2 answers
How to use django-filters with viewset
Python
1 vote160 views2 answers
Clear anaconda cache
Python
149 votes137 views20 answers
Reverse list python
Python