What does the color coding and normalized values in confusion matrix actually specify?
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I am unable to infer anything about the model from the following confusion matrix. What is the color coding actually specifying?
For example, when predicted label is 1 and true label is 1, the value in the matrix at that point is 0.20. Does that mean its accuracy? Does it mean that the model is only able to predict 1 only 20% of times when the label is actually 1?
PS: SO URL for a more clear image
machine-learning visualization confusion-matrix
asked 3 mins ago
AmandaAmanda
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$begingroup$
I am unable to infer anything about the model from the following confusion matrix. What is the color coding actually specifying?
For example, when predicted label is 1 and true label is 1, the value in the matrix at that point is 0.20. Does that mean its accuracy? Does it mean that the model is only able to predict 1 only 20% of times when the label is actually 1?
PS: SO URL for a more clear image
machine-learning visualization confusion-matrix
asked 3 mins ago
AmandaAmanda
1
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am unable to infer anything about the model from the following confusion matrix. What is the color coding actually specifying?
For example, when predicted label is 1 and true label is 1, the value in the matrix at that point is 0.20. Does that mean its accuracy? Does it mean that the model is only able to predict 1 only 20% of times when the label is actually 1?
PS: SO URL for a more clear image
machine-learning visualization confusion-matrix
asked 3 mins ago
AmandaAmanda
1
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am unable to infer anything about the model from the following confusion matrix. What is the color coding actually specifying?
For example, when predicted label is 1 and true label is 1, the value in the matrix at that point is 0.20. Does that mean its accuracy? Does it mean that the model is only able to predict 1 only 20% of times when the label is actually 1?
PS: SO URL for a more clear image
machine-learning visualization confusion-matrix
machine-learning visualization confusion-matrix
asked 3 mins ago
AmandaAmanda
1
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
AmandaAmanda
1
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
AmandaAmanda
1
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
AmandaAmanda
1
asked 3 mins ago
AmandaAmanda
1
1
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Amanda is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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