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Which of the following evaluation metrics can be used to evaluate a model with categorical output variable with exactly two categories? (check all that apply) ☐ specificity (true negative rate) ☐ accuracy (proportion of correctly predicted outputs) deviance O AUC and ROC ☐ false positive rate root mean squared error ☐ sensitivity (true positive rate, recall) ☐ cross-entropy

Which of the following evaluation metrics can be used to evaluate a model with categorical output variable with exactly two categories? (check all that apply) ☐ specificity (true negative rate) ☐ accuracy (proportion of correctly predicted outputs) deviance O AUC and ROC ☐ false positive rate root mean squared error ☐ sensitivity (true positive rate, recall) ☐ cross-entropy

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Which of the following evaluation metrics can be used to evaluate a model with categorical output variable with exactly two categories? (check all that apply) ☐ specificity (true negative rate) ☐ accuracy (proportion of correctly predicted outputs) deviance O AUC and ROC ☐ false positive rate root mean squared error ☐ sensitivity (true positive rate, recall) ☐ cross-entropy
Transcribed Image Text:Which of the following evaluation metrics can be used to evaluate a model with categorical output variable with exactly two categories? (check all that apply) ☐ specificity (true negative rate) ☐ accuracy (proportion of correctly predicted outputs) deviance O AUC and ROC ☐ false positive rate root mean squared error ☐ sensitivity (true positive rate, recall) ☐ cross-entropy
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