Hi Nirmal,

Do you also measure these things via Metrics?

On Mon, Sep 14, 2015 at 5:32 PM, Nirmal Fernando <[email protected]> wrote:

> Thanks Maheshakya and Manorama for carrying out these tests. Your feedback
> is welcome.
>
> On Sun, Sep 13, 2015 at 2:29 PM, Maheshakya Wijewardena <
> [email protected]> wrote:
>
>> Hi,
>>
>> We have measured the average times taken by the ML algorithms to build
>> models and predict for different sizes of datasets. Following dataset sizes
>> were used.
>>
>>
>>    - 100
>>    - 1000
>>    - 10000
>>    - 100000
>>    - 1000000
>>
>> These different size datasets were created by randomly re-sampling the
>> data points from the following publicly available datasets:
>>
>>    1. Poker hand dataset[1]  - For multi class classification, numerical
>>    prediction and clustering.
>>    2. Higgs Atlas dataset sample dataset [2] - For binary classification
>>
>> Number of features is kept fixed at 10.
>>
>> For model building, average build times were calculated across 3
>> iterations for each algorithm for each dataset size. Prediction times are
>> the cumulated time took to predict for all the rows in the datasets.
>>
>> Graphs depicting the performance measurements are attached herewith. In
>> the graphs, X axes are indented in log scale.
>>
>>
>> Best regards.
>>
>> [1] http://archive.ics.uci.edu/ml/datasets/Poker+Hand
>>
>> [2] http://opendata.cern.ch/record/328?ln=en
>>
>> --
>> Pruthuvi Maheshakya Wijewardena
>> Software Engineer
>> WSO2 : http://wso2.com/
>> Email: [email protected]
>> Mobile: +94711228855
>>
>>
>>
>> _______________________________________________
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>>
>>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Team Lead - WSO2 Machine Learner
> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>
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>


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Isuru Perera
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