/Python/From sklearn.metrics import classification_report

From sklearn.metrics import classification_report

Classification report scikit

from sklearn.metrics import classification_report

target_names = ['first_value_y','second_value_y'] # target values

# Print classification report after a train/test split:
print(classification_report(y_test, y_pred, target_names=target_names))

From sklearn.metrics import classification_report

>>> from sklearn.metrics import classification_report
>>> y_true = [0, 1, 2, 2, 2]
>>> y_pred = [0, 0, 2, 2, 1]
>>> target_names = ['class 0', 'class 1', 'class 2']
>>> print(classification_report(y_true, y_pred, target_names=target_names))
             precision    recall  f1-score   support

    class 0       0.50      1.00      0.67         1
    class 1       0.00      0.00      0.00         1
    class 2       1.00      0.67      0.80         3

avg / total       0.70      0.60      0.61         5

Source: scikit-learn.org

Similar codes

2 votes401 views1 answer
How to save bulk create in django
Python Django
34 votes300 views3 answers
Python string replace variable
Python
3 votes340 views3 answers
Calculate mean median mode in python
Python
0 vote331 views1 answer
What mean import in python
Python
2 votes317 views1 answer
Python global variable across files
Python
0 vote343 views1 answer
Cuantas palabras hay en una frase en python
Python
7 votes366 views3 answers
Python change data type to integer
Python
0 vote340 views1 answer
Pandas read chunk of csv
Python
0 vote335 views2 answers
Convert outlook email to text file python
Python
8 votes356 views2 answers
Size of folder in mb linux
Python