Brier score metric
ClientCalibration error for probabilistic predictions.
Brier score
Mean squared error between predicted probabilities and binary outcomes—lower is better calibrated. Processing runs in your browser—Toolcore does not need your paste for the core operation on this page.
Educational statistics only—confirm assumptions before production analysis.
How to use
Paste or type in the main field, then read the output below. Use Load example when available, or open the page with ?q= / ?qb= so tickets and agents share the same input.
Nearby workflows on Toolcore
- Math expression evaluator — Evaluate basic + − × ÷ arithmetic with parentheses in your browser—no variables. Useful when the same table needs another statistic.
- Log loss metric — Binary cross-entropy for forecast probabilities. Useful when the same table needs another statistic.
- Percentage calculator — Percent of a value, ratio to percent, and percent change—no server round-trip. Useful when the same table needs another statistic.
- Sample mean — Arithmetic mean of comma-separated numbers. Useful when the same table needs another statistic.
Common use cases
- Brier score metric for quick local checks without uploading data.
- Copy results into tickets, docs, or classroom notes.
Common mistakes to avoid
Unexpected input shape
See the intro and how-to notes for accepted formats.
FAQ
Is processing local?
Yes—this runs entirely in your browser.
Agent prefill?
Use q or qb for the main text field when supported.
More tools
Related utilities you can open in another tab—mostly client-side.
Math expression evaluator
ClientEvaluate basic + − × ÷ arithmetic with parentheses in your browser—no variables.
Log loss metric
ClientBinary cross-entropy for forecast probabilities.
Percentage calculator
ClientPercent of a value, ratio to percent, and percent change—no server round-trip.
Sample mean
ClientArithmetic mean of comma-separated numbers.