[Mne_analysis] below 50% binary classification accuracy

[Mainak Jas]

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Hi,

I cannot say much about the data but you certainly cannot do 100-45=55%
accuracy :-)

It's possible the random forest is overfitting because of non-linearities.
I'd venture to guess you have a small sample size.

Mainak

On Wed, Jul 24, 2019 at 6:37 PM Julian Long <julianlong988 at gmail.com> wrote:

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>
> Hi everyone,
> I'm doing classification (only two EEG data classes with equal sizes). I'm
> using Random Forest with CSP and Logistic Regression with CSP. With CSP and
> Logistic Regression I got about 65% classification results, whereas with
> Random Forest +  CSP I get less than 50% classification accuracy. I think
> this is wrong, as it should be higher or equal to 50%. So what is the
> possible reason for this? Can I simply say that in case I have 45% accuracy
> then this can be calculated as 100-45=55% accuracy? Can I say that this
> Random Forest algorithm is simply bad algorithm for my data?
>
> Thanks all for any suggestions
> I'm ready to share the data and the code if any one can help
>
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