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

2 votes240 views2 answers
How to get only first record in django
Python Django
0 vote186 views1 answer
Python functools
Python
3 votes183 views1 answer
Knowing the sum of null value is pandas dataframe
Python
0 vote178 views1 answer
Presto sequence example date
Python
41 votes182 views6 answers
Pd.read_csv
Python
0 vote188 views1 answer
Python verificar se é numero
Python
1 vote315 views1 answer
Flask app route in different files
Python Flask
1 vote182 views1 answer
Split string form url last slash
Python
0 vote224 views1 answer
Lowering the time.countdown python
Python
0 vote212 views1 answer
Find pdf encrypted password with python
Python