ClassifierDecision interface {#classifierdecision_interface}

Unified decision output for a single ClassifierQuestion.

Signature:

export declare interface ClassifierDecision

Properties

Property Modifiers Type Description
id string Question identifier matching ClassifierQuestion.id.
label string Winning option label ("true"/"false" for binary, winning label for categorical/ordinal).
confidence number Normalized certainty confidence in [0.0, 1.0].
probability number Binary only: calibrated P(true) in [0.0, 1.0].
expectedScore number Ordinal only: continuous expected score across levels, sum(level_i * p_i).
probabilities ClassifierOptionProbability[] Full calibrated probability distribution over candidate options.
predictionSet string[] Optional conformal prediction set covering >= 90% probability mass.

ClassifierDecision.id {#classifierdecisionid}

Question identifier matching ClassifierQuestion.id.

Signature:

id: string;

ClassifierDecision.label {#classifierdecisionlabel}

Winning option label ("true"/"false" for binary, winning label for categorical/ordinal).

Signature:

label: string;

ClassifierDecision.confidence {#classifierdecisionconfidence}

Normalized certainty confidence in [0.0, 1.0].

Signature:

confidence: number;

ClassifierDecision.probability {#classifierdecisionprobability}

Binary only: calibrated P(true) in [0.0, 1.0].

Signature:

probability?: number;

ClassifierDecision.expectedScore {#classifierdecisionexpectedscore}

Ordinal only: continuous expected score across levels, sum(level_i * p_i).

Signature:

expectedScore?: number;

ClassifierDecision.probabilities {#classifierdecisionprobabilities}

Full calibrated probability distribution over candidate options.

Signature:

probabilities: ClassifierOptionProbability[];

ClassifierDecision.predictionSet {#classifierdecisionpredictionset}

Optional conformal prediction set covering >= 90% probability mass.

Signature:

predictionSet?: string[];