How do I minimize total error cost?

Total cost = FP_rate × cost_FP + FN_rate × cost_FN. Adjust the decision threshold to shift between FP and FN depending on which error is costlier.

When does FN cost dominate?

In medical diagnosis or fraud detection, missing a positive case (FN) is typically far more costly than a false alarm (FP), so thresholds are set lower to prioritize recall.

False Positive vs False Negative Cost Tradeoff

Calculate the expected cost of classification errors given FP/FN rates and per-error costs to find the optimal decision threshold.

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IP Address

CIDR Prefix

Network

192.168.1.0

Broadcast

192.168.1.255

Subnet Mask

255.255.255.0

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192.168.1.1

Last Host

192.168.1.254

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254

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IP: 11000000.10101000.00000001.00000000

Mask: 11111111.11111111.11111111.00000000

Net: 11000000.10101000.00000001.00000000

How to Use

Enter the values for the patient or scenario you are assessing. Calculate the expected cost of classification errors given FP/FN rates and per-error costs to find the optimal decision threshold. Use the fp/fn cost result to inform your clinical assessment.

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