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

1 vote112 views5 answers
Generate a list with random length and with random numbers python
Python
6 votes127 views5 answers
How to redirect in django
Python Django
4 votes111 views2 answers
Python list transpose
Python
9 votes91 views2 answers
Make string numeric pandas
Python
0 vote94 views1 answer
Intersect in python list
Python
0 vote104 views1 answer
Add url parameter in anchor django template
Python
0 vote94 views1 answer
Replace all the empty rows in the column with the value that you have identified
Python
2 votes282 views1 answer
Radio button pyqt
Python
0 vote116 views1 answer
Somma array python
Python
-1 vote103 views1 answer
Pandas subtract days from date
Python