Scikit learn random forest

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

45 votes172 views6 answers
Python webbrowser
Python
4 votes150 views1 answer
Python windows hide files
Python
0 vote153 views1 answer
How to set default value in many2one
Python
1 vote168 views1 answer
Python fme logger
Python
9 votes170 views2 answers
Lambda condition python
Python
0 vote146 views1 answer
How to multiply integer value with float values in python
Python
0 vote154 views1 answer
The following packages have unmet dependencies python3-tornado
Python
1 vote149 views1 answer
Variable plus one python
Python
5 votes163 views4 answers
Prime numbers from 1 to 100 in python
Python
0 vote166 views1 answer
Dataframeclient influxdb example
Python