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Election YearPunjab Classification under the definition of the model
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Variable # 1Variable # 2
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Votes% by which the winner is ahead of the second scorer edge over the vote % of number 2
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VOTE SCORE OF TOP TWO CONTESTANTS
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 WINNER’S EDGE
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197054%29%Uni-polar
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197798%26%Uni-polar
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198877%3%Bi-polar
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199088%11%Bi-polar
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199385%6%Bi-polar
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199781%37%Uni-polar
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200260%7%Multi-polar
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200859%1%Bi-polar
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201365%28%Uni-polar
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201871%1%Bi-polar
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Average for 10 elections
74%15%The typical behavior of the province generally returns to Bi-polar contests
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Votes score is HIGH by the model’s definition if the electoral outcome falls in the range of Winner’s edge over the runner up is LOW by the model’s definition if the difference between the two is
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75% (±10%), that is broadly between 65%-85% +. 10% (±5%), that is broadly between 5%-15%. This case of being HIGH on Variable # 1 and LOW on Variable #2. Hence the case is Bi-POLAR according to the definition of the model.
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Any figure lower than this is treated as lowAny figure higher than that is treated as HIGH.
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Any exceptions have been marked in red and can be interpreted by a domain expertAny exceptions have been marked in red and can be interpreted by a domain expert
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