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 vote89 views0 answer
Python
0 vote263 views1 answer
Django show image in admin page
Python Django
16 votes142 views2 answers
Access row of dataframe
Python
0 vote142 views1 answer
Amazing Trees with python turtle
Python
0 vote140 views1 answer
Python decorator *args **kwargs
Python
0 vote125 views1 answer
Dive split of numeric values dataframes for categorical vlaues
Python
0 vote156 views1 answer
File.write must be string python
Python
0 vote142 views1 answer
How to iterate row wise using 2d integer array in python
Python
0 vote132 views1 answer
Matplotlib show two distinct plots
Python
37 votes153 views4 answers
Python To find the sum of all the elements in a list.
Python