Multiclass confusion matrix in python
Question:
Answers:
If I understand correctly, you’re asking how to make a confusion matrix plot. This can be done with sklearn.metrics.ConfusionMatrixDisplay
using the result from sklearn.metrics.confusion_matrix
.
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay
import pandas as pd
df_true = pd.DataFrame({
"y_true": [0,0,1,1,0,2]
})
df_pred = pd.DataFrame({
"y_pred": [0,1,2,0,1,2]
})
cm = confusion_matrix(df_true.y_true, df_pred.y_pred)
disp = ConfusionMatrixDisplay(confusion_matrix=cm,
display_labels=[0,1,2],)
disp.plot(cmap="Blues")
If I understand correctly, you’re asking how to make a confusion matrix plot. This can be done with sklearn.metrics.ConfusionMatrixDisplay
using the result from sklearn.metrics.confusion_matrix
.
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay
import pandas as pd
df_true = pd.DataFrame({
"y_true": [0,0,1,1,0,2]
})
df_pred = pd.DataFrame({
"y_pred": [0,1,2,0,1,2]
})
cm = confusion_matrix(df_true.y_true, df_pred.y_pred)
disp = ConfusionMatrixDisplay(confusion_matrix=cm,
display_labels=[0,1,2],)
disp.plot(cmap="Blues")