Cross validation python

Cross validation

Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is often called k-fold cross-validation.

Cross validation python

# SVC: support vector classifier (one of the "built-in" classifiers in scikit-learn)
# X, y: array-like representing input and target variables
# X.shape = (N, num_of_features)
# y.shape = (N, 1) in case of classification problem

from sklearn.model_selection import cross_val_score
clf = svm.SVC(kernel='linear', C=1, random_state=42)
scores = cross_val_score(clf, X, y, cv=5) # 5-fold cross validation

Source: scikit-learn.org

Similar codes

0 vote322 views2 answers
Get desktop location python
Python
4 votes316 views2 answers
Django how to delete a db field
Python
0 vote322 views1 answer
Subprocess ffmpeg x265 codec
Python
0 vote304 views1 answer
Python initialize dict with empty list values
Python
0 vote385 views1 answer
Django add queury parameters to reverse
Python Django
0 vote325 views1 answer
Open python file with read write permissions
Python
17 votes346 views4 answers
Count unique values in python
Python
0 vote335 views2 answers
NtimeError: PyNaCl library needed in order to use voice\
Python
0 vote312 views1 answer
Set .discard(), .remove() & .pop() | Hackerrank Python Solution |
Python
19 votes344 views1 answer
Python string cut right
Python