损失函数（Loss Function）是指用数学的方法衡量假设函数预测结果与真实值之间的误差。机器学习算法的任务就是要使这个损失函数的差距越来越小，达到越来越准确的目标。

判断题假设函数（Hypothesis Function）是指用数学的方法描述自变量（Xi）和因变量（Yi）之间的关系，它们之间可以是一个线性函数或非线性函数。

单项选择题Which following one is false？（）

A.The attribute values and classlabels may suffer from stochasticnoise，systematic noise，and random artefacts.
B.The quality of the induced classifier depends ontraining examples.
C.Apart from low error rate，some applications require that the classifer provides the reasons behind the classification.
D.The simplest performance criterion is rmse.

判断题Is the following statement true or false? The evaluation function is a function used to estimate the value or goodness of a position in minimax and related algorithms, and typically desigened to prioritize spped over accuracy.

单项选择题The error rate is usually higher on the testing set than on the training set. Is it true？（）

A.Yes
B.No

单项选择题Which of these is a reasonable definition of machine learning？（）

A.Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed.
B.Machine learning is the field of allowing robots to acti ntelligently.
C.Machine learning is the science of programming computers.
D.Machine learning learns from labeleddata.