Sklearn random forest

from sklearn.ensemble import RandomForestClassifier


clf = RandomForestClassifier(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

Sklearn random forest

from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification


X, y = make_classification(n_samples=1000, n_features=4,
                            n_informative=2, n_redundant=0,
                            random_state=0, shuffle=False)
clf = RandomForestClassifier(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

Scikit learn random forest

from sklearn.ensemble import BaggingClassifier
from sklearn.neighbors import KNeighborsClassifier
bagging = BaggingClassifier(KNeighborsClassifier(),
                            max_samples=0.5, max_features=0.5)

Source: scikit-learn.org

Scikit learn random forest classifier

from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification


X, y = make_classification(n_samples=1000, n_features=4,
                            n_informative=2, n_redundant=0,
                            random_state=0, shuffle=False)
clf = RandomForestClassifier(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

-1

Similar codes

2 votes172 views1 answer
Python string argument without an encoding
Python
0 vote222 views1 answer
Ffff in decimal python
Python
-1 vote160 views1 answer
Set form field disabled django
Python
5 votes249 views2 answers
Get pyhton file path python
Python
5 votes195 views10 answers
Online python to c converter
Python
0 vote210 views2 answers
Python regex get all matches
Python
0 vote166 views1 answer
Print Wavelet modes
Python
0 vote164 views2 answers
How to set breakpoint in python pdb
Python
10 votes172 views5 answers
Pandas convert float to int
Python
12 votes175 views4 answers
How to add two numbers in python
Python