Here is a small Weka training data-set, crude-oil-train.arff: (9relation crude-oil-train @attribute Text string @attribute class (yes,no) @cdata "The price of crude oil has increased significantly". yes "Demand for crude oil outstrips supply" yes "Some people do not like the flavor of olive oill. no "The food was swimming in oill. no "Crude oil is in short supply". yes Here is a small Weka test data-set, crude-oil-testarff: @relation crude-oil-test @attribute Text string @attribute ciass fyes,no) @data "Oil platforms extract crude oill: yes "Canola oil is supposed to be healthy:, no "Iraq has significant oil reserves". yes "There are different types of cooking oil, no In Weka, if you load the training set crude-oil-train,arff, select to use test set crude-oil-test arff and then run the ZeroR ciassifier, what accuracy would result? (a)ttribute class \{yes,no\} (C)data "Oil platforms extract crude oil", yes "Canola oil is supposed to be healthy:, no "Iraq has significant oil reserves", yes "There are different types of cooking oil, no In Weka, if you load the training set crude-oil-train.arff, select to use test set crude-oil-testarff and then run the Zerof cassifier. what accuracy would result? Select one answer. 25% B) No accuracy result, as train and test sets are not compatible (C) No accuracy result, as the classifier does not work with string attributes 50%