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// Copyright ©2016 The gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package stat_test
import (
"fmt"
"gonum.org/v1/gonum/integrate"
"gonum.org/v1/gonum/stat"
)
func ExampleROC_weighted() {
y := []float64{0, 3, 5, 6, 7.5, 8}
classes := []bool{true, false, true, false, false, false}
weights := []float64{4, 1, 6, 3, 2, 2}
tpr, fpr := stat.ROC(0, y, classes, weights)
fmt.Printf("true positive rate: %v\n", tpr)
fmt.Printf("false positive rate: %v\n", fpr)
// Output:
// true positive rate: [0 0.4 0.4 1 1 1 1]
// false positive rate: [0 0 0.125 0.125 0.5 0.75 1]
}
func ExampleROC_unweighted() {
y := []float64{0, 3, 5, 6, 7.5, 8}
classes := []bool{true, false, true, false, false, false}
tpr, fpr := stat.ROC(0, y, classes, nil)
fmt.Printf("true positive rate: %v\n", tpr)
fmt.Printf("false positive rate: %v\n", fpr)
// Output:
// true positive rate: [0 0.5 0.5 1 1 1 1]
// false positive rate: [0 0 0.25 0.25 0.5 0.75 1]
}
func ExampleROC_aUC() {
y := []float64{0.1, 0.35, 0.4, 0.8}
classes := []bool{true, false, true, false}
tpr, fpr := stat.ROC(0, y, classes, nil)
// compute Area Under Curve
auc := integrate.Trapezoidal(fpr, tpr)
fmt.Printf("true positive rate: %v\n", tpr)
fmt.Printf("false positive rate: %v\n", fpr)
fmt.Printf("auc: %v\n", auc)
// Output:
// true positive rate: [0 0.5 0.5 1 1]
// false positive rate: [0 0 0.5 0.5 1]
// auc: 0.75
}