According to the classification error rate, which attribute would be chosen as the first splitting attribute? For each attribute, show the contingency table and the gains in classification error rate.
The following table summarizes a data set with three attributes A, B, C and
two class labels +, ?. Build a two-level decision tree.
The error rate for the data without partitioning on any attribute is
After splitting on attribute A, the gain in error rate is:
After splitting on attribute B, the gain in error rate is:
After splitting on attribute C, the gain in error rate is:
The algorithm chooses attribute A because it has the highest gain.
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The internal vulnerability assessment is usually performed against every device that is exposed to the Internet, using every possible penetration testing approach. __________
Answer the following statement true (T) or false (F)
Besides making your code easier to modify, using a ____ makes the code easier to understand.
A. standard constant B. named constant C. literal constant D. named variable