# Visualization of Hypocrite Classifiers

Learn how to visualize the hypocrite classifiers.

## We'll cover the following

If you run the hypocrite classifier a few times, you may get a feeling for its performance. But let’s create a visualization of it.

The following code runs the hypocrite classifier for different values of weight. The range of allowed `weights`

is between −1 and 1. We divide this range into 40 (`cnt_steps`

) steps in **line 5**. We create lists of the indices (`steps=[0, 1, ..., 38, 39]`

) in **line 8**, and of the `weights`

at every step (`weights=[−1, −0.95, ... 0.9, 0.95, 1.0]`

) in **lines 11-14**.

We run the hypocrite classifier for every step from **lines 17-23** and put the results into `l_predictions`

in **line 17**. Based on the predictions and the actual results, we calculate the confusion matrix for every step in **line 27**, and store them in `l_cm`

in **line 26**.

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