ValueError: Shape of passed values is (14, 14), indices imply (15, 15)

TensorFlow General Discussion
1

I’m getting the following error when trying to run the code below

ValueError: Shape of passed values is (14, 14), indices imply (15, 15)

def plot_confusion_matrix(cm):
    cm = cm[::-1]
    cm = pd.DataFrame(cm, columns=classes, index=classes[::-1])

    fig = ff.create_annotated_heatmap(z=cm.values, x=list(cm.columns), y=list(cm.index), colorscale='ice', showscale=True, reversescale=True)
    fig.update_layout(width=500, height=500, title='Confusion Matrix', font_size=16)
    fig.show()

import plotly.figure_factory as ff
plot_confusion_matrix(cm)

Does anyone know how this can be resolved?

3

The shape of a DataFrame is a tuple of array dimensions that tells the number of rows and columns of a given DataFrame.