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README.md

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@@ -385,7 +385,7 @@ test.add_variant_data('C', waiting_times_c)
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# alternatively, add variants using aggregated data:
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# test.add_variant_data_agg('A', len(waiting_times_a), sum(waiting_times_a))
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# evaluate test (since a lower waiting time is better, we explicitly set the min_is_best to True)
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# evaluate test (since a lower waiting time is better, we set the min_is_best to True)
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results = test.evaluate(sim_count=20000, min_is_best=True)
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results
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# print(pd.DataFrame(results).set_index('variant').T.to_markdown(tablefmt="grid"))

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