1. The figure below illustrates the general process for supervised learning. Tid Attrib1 Attrib 2 Attrib3 Class Learning Large 125k No algorithm N No Medium 100K No Small No Medium 120K Induction Large 95K Yes Medium 60K Yes Large 220K Learn Small 85K Model No Medium 10 No Small 90K Yes Training Set Model Apply Tid Attrib1 Attrib 2 Attrib3 Class Model 11 Small 55K 12 Medium 80K Yes Large 1 10K Deduction No 3 Large 67k Test Set This process is called supervised learning because a training set is used to develop the model rather than is the case with unsupervised learning in which no such training set exists. a. True b. False