Consider the following class-labeled training tuples from the Electronics customer database. RID income 1 2 3 4 no 5 6 7 age youth high youth high middle aged high senior medium senior low senior low middle aged low youth medium youth low senior medium youth medium middle aged medium middle aged high senior medium student credit rating Class: buys_computer no fair no no excellent no no fair yes fair yes yes fair yes yes excellent no yes excellent yes no fair yes fair yes fair yes excellent no excellent yes yes fair yes no excellent no 8 no 9 10 yes yes yes 11 12 13 14 What is the gain in information from the data (tuples) partitioning based on income order to create a decision tree? (Hint: calculate Gain(income))