On 6/4/19 8:44 PM, C W wrote:
Thank you all for the replies.
I agree that prediction accuracy is great for evaluating black-box ML
models. Especially advanced models like neural networks, or
not-so-black models like LASSO, because they are NP-hard to solve.
Linear regression is not a black
I use Birch to cluster my data and my data is kind of time-series data.
I don't know the actually cluster numbers and need to read large
data(online learning), so I choose Birch rather than MiniKmeans.
When I read it, I found the critical parameters might be branching_factor
and threshold, and th
On Wed, Jun 5, 2019 at 8:18 AM Brown J.B. via scikit-learn
wrote:
>
> 2019年6月5日(水) 10:43 Brown J.B. :
>>
>> Contrast this to Pearson Product Moment Correlation (R), where the fit of
>> the line has no requirement to go through the origin of the fit.
>
>
> Not sure what I was thinking when I wrote
2019年6月5日(水) 10:43 Brown J.B. :
> Contrast this to Pearson Product Moment Correlation (R), where the fit of
> the line has no requirement to go through the origin of the fit.
>
Not sure what I was thinking when I wrote that.
Pardon the mistake; I'm fully aware that Pearson R is merely a coefficie
