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authorleshe4ka46 <alex9102naid1@ya.ru>2025-12-09 10:10:48 +0300
committerleshe4ka46 <alex9102naid1@ya.ru>2025-12-09 10:10:48 +0300
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tree6d9746dc7b99f40ffa9a35592f8638ee5b8a4ee9 /Fundamentals_of_Accelerated_Data_Science/3-06_xgboost.ipynb
parentd8df84af00cfe3038fc696417fd97b33eca0146e (diff)
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"cell_type": "markdown",
"metadata": {},
"source": [
+ "https://ru.wikipedia.org/wiki/%D0%94%D0%B2%D0%BE%D0%B8%D1%87%D0%BD%D0%B0%D1%8F_%D0%BA%D0%BB%D0%B0%D1%81%D1%81%D0%B8%D1%84%D0%B8%D0%BA%D0%B0%D1%86%D0%B8%D1%8F#/media/%D0%A4%D0%B0%D0%B9%D0%BB:Binary-classification-labeled.svg"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
"## (Optional) Comparison: CPU-Only XGBoost ##\n",
"Below we provide code for training and inferring from a CPU-only XGBoost using the same model parameters other than switching the histogram tree method from GPU to CPU."
]