.. _example_classification_plot_classification_probability.py: =============================== Plot classification probability =============================== Plot the classification probability for different classifiers. We use a 3 class dataset, and we classify it with a Support Vector classifier, L1 and L2 penalized logistic regression with either a One-Vs-Rest or multinomial setting. The logistic regression is not a multiclass classifier out of the box. As a result it can identify only the first class. .. image:: images/plot_classification_probability_001.png :align: center **Script output**:: classif_rate for L2 logistic (OvR) : 76.666667 classif_rate for L2 logistic (Multinomial) : 82.000000 classif_rate for Linear SVC : 82.000000 classif_rate for L1 logistic : 79.333333 **Python source code:** :download:`plot_classification_probability.py ` .. literalinclude:: plot_classification_probability.py :lines: 14- **Total running time of the example:** 1.03 seconds ( 0 minutes 1.03 seconds)