package main import "fmt" type Person struct { Name string Age int } func main() { a := 10 s := "hello world" p := Person{Name: "wohu", Age: 25} c := []int{1, 2, 3, 4} fmt.Printf("p %%v is %v\n", p) // p %v is {wohu 25} fmt.Printf("p %%+v is %+v\n", p) // p %+v is {Name:wohu Age:25} fmt.Printf("p %%#v is %#v\n", p) // p %#v is main.Person{Name:"wohu", Age:25} fmt.Printf("p type
0. Sklearn Metric .1. Classification metrics See the Classification metrics section of the user guide for further details. metrics.accuracy_score(y_true, y_pred, *[, …]) Accuracy classification score. metrics.auc(x, y) Compute Area Under the Curve (AUC) using the trapezoidal rule. metrics.average_precision_score(y_true, …) Compute average precision (AP) from prediction scores. metrics.balanced_accuracy_score(y_true, …) Compute the balanced accuracy. metrics.brier_score_loss(y_true, y_prob, *) Compute the Brier score loss. metrics.classification_report(y_true, y_pred, *) Build a text
