scikit-learn/scikit-learn — comment on commit a0c841419bed4ab2c37fbb231ca05019c224395e
File: benchmarks/bench_sgd_covertype.py line 21
By glouppe:

I don't know but those are the results I got. You can update the table
with your results if you like.

Gilles

On 28 November 2011 18:42, Brian Holt

wrote:
> Is the GaussianNB error really that bad? Seems a bit much to me.
>
> I re-ran it and these were the results
>
> Classifier train-time test-time error-rate
> --------------------------------------------
> Liblinear 8.8490s 0.0205s 0.2305
> GaussianNB 2.4367s 0.1315s 0.3633
> SGD 0.3545s 0.0176s 0.2300
> CART 27.0527s 0.0254s 0.0476
> RandomForest 541.1109s 0.5591s 0.0249
> Extra-Trees 968.5368s 0.5839s 0.0230
>
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