You just finished training a decision tree for spam classification, and it is gettingabnormally bad performance on both your training and test sets. you know that yourimplementation has no bugs, so what could be causing the problem?

(a) your decision trees are too shallow.
(b) you need to increase the learning rate.
(c) you are overfitting.
(d) all of the above

Consider this data sequence: "3 11 5 5 5 2 4 6 6 7 3 -8". any value that is the same as the immediately preceding value is considered a consecutive duplicate. in this example, there are three such consecutive duplicates: the 2nd and 3rd 5s and the second 6. note that the last 3 is not a consecutive duplicate because it was preceded by a 7. write some code that uses a loop to read such a sequence of non-negative integers , terminated by a negative number. when the code finishes executing, the number of consecutive duplicates encountered is printed. in this case, 3 would be printed. assume the availability of a variable, stdin, that references a scanner object associated with standard input. that is, stdin = new scanner(system. in); is given.

When you mouse over and click to add a search term this(these) boolean operator(s) is(are) not implied. (select all that apply)?

Elements such as fonts colors visual structure graphics and the interface of a web page should complement each other to ensure blank