Log loss metric

Client

Penalizes confident wrong forecasts.

Log loss

Binary cross-entropy from predicted probability and 0/1 label pairs—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.

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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.
  • Brier score metric — Mean squared error of probability forecasts. Useful when the same table needs another statistic.
  • Logistic sigmoid calculator — Apply sigmoid 1 over 1 plus e to minus x on a number. 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

  • Log loss 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.