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When I use SKlearn to divide my dataset and after I use dd.from_pandas to convert Pandas Dataframe in Dask Dataframe, my accuracy is 50%. But when I divided my dataset using Sklearn and salve the new datasets, my accuracy is of 72%.
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When I use SKlearn to divide my dataset and after I use dd.from_pandas to convert Pandas Dataframe in Dask Dataframe, my accuracy is 50%. But when I divided my dataset using Sklearn and salve the new datasets, my accuracy is of 72%.
When I use this code, I have 50% of accuracy:
When I use this code, I have 72% of accuracy:
About Dask ML, I yet don't succeed to install in Jetson TX2, and my tests need to be do in the Jetson TX2.
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