Documentation
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Index ¶
Constants ¶
const DefaultBootstrapIterations = 10000
DefaultBootstrapIterations is the number of bootstrap resamples.
Variables ¶
This section is empty.
Functions ¶
func IsSignificant ¶
func IsSignificant(ci ConfidenceInterval) bool
IsSignificant returns true if the confidence interval does not contain zero, indicating statistical significance at the given confidence level.
func NormalizedGain ¶
NormalizedGain computes Hake's normalized gain (1998):
g = (post - pre) / (1 - pre)
This controls for ceiling effects — a gain from 0.9→0.95 is harder than 0.1→0.15. Returns 0 if pre >= 1.0 (already at ceiling) or pre == post (no change). Returns 1.0 if post >= 1.0 (reached maximum).
Types ¶
type ConfidenceInterval ¶
type ConfidenceInterval struct {
Lower float64 `json:"lower"`
Upper float64 `json:"upper"`
Mean float64 `json:"mean"`
ConfidenceLevel float64 `json:"confidence_level"`
NumBootstraps int `json:"num_bootstraps"`
}
ConfidenceInterval holds the result of a bootstrap confidence interval computation.
func BootstrapCI ¶
func BootstrapCI(scores []float64, confidenceLevel float64) ConfidenceInterval
BootstrapCI computes a bootstrap confidence interval over the given scores using the percentile method. confidenceLevel should be in (0, 1), e.g. 0.95. Returns a zero-value ConfidenceInterval when fewer than 2 data points exist.
func BootstrapCIWithSeed ¶
func BootstrapCIWithSeed(scores []float64, confidenceLevel float64, seed int64) ConfidenceInterval
BootstrapCIWithSeed is like BootstrapCI but accepts a seed for reproducibility. A negative seed uses a non-deterministic source.
Source Files