func TestReliabilityBinsAreHandComputed(t *testing.T) · bin 4: mean predicted (0.85+0.95)/2

Read the equation

This relation defines bin 4: mean predicted (0.85+0.95)/2 in the source section “func TestReliabilityBinsAreHandComputed(t *testing.T) · bin 4: mean predicted (0.85+0.95)/2”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

1. Read bin 4: mean predicted (0.85+0.95)/2 as the quantity being defined or updated by this relation.

2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

• This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

	if len(bins) != 2 {
		t.Fatalf("two occupied bins expected, got %d", len(bins))
	}
	// bin 0: mean predicted (0.1+0.15)/2 = 0.125, empirical (0+1)/2 = 0.5, count 2
	if math.Abs(bins[0].MeanPredicted-0.125) > 1e-9 || math.Abs(bins[0].EmpiricalRate-0.5) > 1e-9 || bins[0].Count != 2 {
		t.Fatalf("first bin wrong: %+v", bins[0])
	}
	// bin 4: mean predicted (0.85+0.95)/2 = 0.9, empirical (1+1)/2 = 1.0, count 2
	if math.Abs(bins[1].MeanPredicted-0.9) > 1e-9 || math.Abs(bins[1].EmpiricalRate-1.0) > 1e-9 || bins[1].Count != 2 {
		t.Fatalf("second bin wrong: %+v", bins[1])
	}
}

func TestReliabilitySkipsEmptyBins(t *testing.T) {
	// all points in one bin: only one row comes back, empty bins are dropped.
	bins := Reliability([]float64{0.05, 0.06, 0.07}, []int{1, 0, 1}, 10)
	if len(bins) != 1 {
		t.Fatalf("only one occupied bin expected, got %d", len(bins))

bin 4: mean predicted (0.85+0.95)/2 = 0.9, empirical (1+1)/2 = 1.0, count 2

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