LIME Feature Importance Calculator

Estimate local interpretable model-agnostic feature weights around a prediction instance using LIME perturbation sampling.

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Systems
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IP Subnet Calculator

IP Address
CIDR Prefix
/
Network
192.168.1.0
Broadcast
192.168.1.255
Subnet Mask
255.255.255.0
First Host
192.168.1.1
Last Host
192.168.1.254
Usable Hosts
254
Binary breakdown:
IP: 11000000.10101000.00000001.00000000
Mask: 11111111.11111111.11111111.00000000
Net: 11000000.10101000.00000001.00000000
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How It Works

Estimate local interpretable model-agnostic feature weights around a prediction instance using LIME perturbation sampling

Each component has a specific meaning:

  • LIME perturbation sampling — The lime perturbation sampling recorded for the patient or scenario being assessed.

Note: Interpret the lime explainability result against the clinical thresholds and context described above.

How to Use

Enter the LIME perturbation sampling for the patient or scenario you are assessing. Estimate local interpretable model-agnostic feature weights around a prediction instance using LIME perturbation sampling. Use the lime explainability result to inform your clinical assessment.

Frequently Asked Questions