尝试将 SCRIPT text 作为函数执行: C:\Users\Administrator\text.m 出错 discrimination (line 34) text(centroid(1), centroid(2), sprintf('Area: %d', area), 'Color', 'r');

根据你提供的信息，这个错误可能是因为在函数 `text()` 的调用中，输入的第一个参数 `centroid(1)` 和第二个参数 `centroid(2)` 的值不正确，导致了 `text()` 函数的执行出错。

建议检查一下 `centroid` 变量的值，确保它们是正确的。同时，也可以尝试通过调试程序或者输出一些中间结果来定位问题所在。

相关问题

Write a review on the film Green Book or one of the other movies that your classmates have shared with us : The Godfather, The Truman Show.

As an AI language model, I do not have personal preferences or emotions, but I can provide a general review of the film Green Book.

Green Book is a film that tells the story of a black pianist, Dr. Don Shirley, and his white driver, Tony Vallelonga, as they travel through the southern states of America during the 1960s. The film explores themes of racism, friendship, and acceptance.

The acting in the film is excellent, with both Viggo Mortensen and Mahershala Ali delivering powerful performances. The chemistry between the two leads is palpable, and their friendship is believable and heartwarming.

The film also has a strong message about the importance of breaking down racial barriers and the power of empathy and understanding. The Green Book, which serves as a guide for African American travelers during the time, is a symbol of the segregation and discrimination that existed in America during that period. The film highlights the need for people to challenge and overcome such injustices.

Overall, Green Book is a well-crafted and enjoyable film that delivers a powerful message about friendship and racial acceptance. It is a must-watch for anyone who wants to understand the importance of empathy and understanding in a world that often seems divided.

Model Likelihood Discrimination Rank Discrim. Ratio Test Indexes Indexes Obs 211 LR chi2 132.62 R2 0.718 C 0.960 0 165 d.f. 5 R2(5,211)0.454 Dxy 0.921 1 46 Pr(> chi2) <0.0001 R2(5,107.9)0.694 gamma 0.925 max |deriv| 2e-06 Brier 0.063 tau-a 0.315

这是一个统计模型的输出结果，用于评估模型的拟合程度和预测能力。根据这些指标，模型的似然比测试值为132.62，p值小于0.0001，说明模型在统计上是显著的。模型的判别指数为0.960，表示模型的判别能力较好。模型的等级判别指数为0.921，表示模型的等级判别能力较好。模型的其他指标如R方为0.718，Brier分数为0.063，tau-a系数为0.315，说明模型在拟合程度和预测准确性方面表现良好。