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 > > > > _______________________________________________ > Architecture mailing list > [email protected] > https://mail.wso2.org/cgi-bin/mailman/listinfo/architecture > > -- 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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