I need help with a problem in weka.

this is the cups.csv file

banana	chocolate	pistachio	strawberry	vanilla
0	1	0	1	1
0	1	2	0	0
0	2	1	0	0
0	3	0	0	0
0	0	0	3	0
0	1	0	0	2
1	0	2	0	0
0	1	1	1	0
0	0	1	0	2
0	1	0	2	0
0	0	0	1	2
1	1	1	0	0
3	0	0	0	0
0	0	2	1	0
1	0	0	2	0
0	0	3	0	0
2	1	0	0	0
0	0	2	0	1
0	2	0	1	0
1	0	0	0	2
0	0	1	2	0
2	0	0	0	1
1	1	0	1	0
0	2	0	0	1
2	0	1	0	0
0	1	1	0	1
1	0	0	1	1
0	0	0	2	1
0	0	1	1	1
0	0	0	0	3
1	0	1	0	1
1	2	0	0	0
2	0	0	1	0
1	1	0	0	1
1	0	1	1	0

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How predictable are you? The attached file cups.csv contains listings of ice cream cups with 3 scoops of four different flavors (35 different combinations). For example (banana, chocolate, pistachio, strawberry, vanilla) (0, 2, 0, 1, 0) stands for a cup with two scoops of chocolate and one of strawberry. You are to rank these combinations according to your preference. Then apply decision tree and rule generators to a subset of the ranked combinations. The remaining ranked combinations are to be used as a test set. In other words, data mining will try to predict your choices on the test set. How predictable are you? The attached file cups.csv contains listings of ice cream cups with 3 scoops of four different flavors (35 different combinations). For example (banana, chocolate, pistachio, strawberry, vanilla) (0, 2, 0, 1, 0) stands for a cup with two scoops of chocolate and one of strawberry. You are to rank these combinations according to your preference. Then apply decision tree and rule generators to a subset of the ranked combinations. The remaining ranked combinations are to be used as a test set. In other words, data mining will try to predict your choices on the test set