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

0 vote332 views1 answer
Connect spark to postgres; connect spark to database
Python
0 vote373 views1 answer
Tkinter change button text
Python
0 vote358 views1 answer
Fforeveer loop python
Python
0 vote371 views1 answer
Print numbers from 1 to 100 in python
Python
8 votes348 views3 answers
How to maximize pandas output python
Python
0 vote326 views1 answer
Python computer guesses your number
Python
9 votes348 views6 answers
How to make a calculator in python
Python
117 votes351 views6 answers
Python get pip
Python
0 vote430 views1 answer
Pt_core_news_sm spacy download
Python
9 votes309 views8 answers
Python get first element from list
Python