如何在这个初学者Python AI代码中修复语法错误？

Question

让初学者Ai将苹果与橙子从重量和质地区分开来，它在标签上带有语法错误以下是代码：

from sklearn import tree

## In Features 1 = Smooth, 0 = Bumpy

features = [[140, 1], [130, 1], [150, 0], [170, 0]
labels = ["apple", "apple", "orange", "orange"]
clf = tree.DecisionTreeClassifier()
clf = clf.fit(features, labels)
print clf.predict([[150, 0]])

Answer 1

你错过了一个]

from sklearn import tree

    ## In Features 1 = Smooth, 0 = Bumpy

    features = [[140, 1], [130, 1], [150, 0], [170, 0]] # missed an ] here
    labels = ["apple", "apple", "orange", "orange"]
    clf = tree.DecisionTreeClassifier()
    clf = clf.fit(features, labels)
    print clf.predict([[150, 0]])

Answer 2

运行Python脚本时出现的错误是什么？

例如：

>>> x = [ ["x", y"]

给我：

SyntaxError: EOL while scanning string literal

甚至指向它失败的线。你有没有尝试谷歌搜索？我觉得你正在努力学习一些关于人工智能的东西，但是用一种语言你仍然是新来的。