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add: stream-based sampling jupyter notebook
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docs/source/content/examples/Stream-based-sampling.rst

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docs/source/content/examples/pool-based_sampling.ipynb

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" performance_history.append(model_accuracy)"
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]
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Evaluate our model's performance\n",
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"\n",
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"Here, we first plot the query iteration index against model accuracy. To visualize the performance of our classifier, we also plot the correct and incorrect predictions on the full dataset."
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]
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},
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"cell_type": "code",
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"execution_count": 10,

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