Hi Nirmal, Thanks for the guidance. Great :) Regards. *M. Nifras Ismail* [image: LinkedIn] <http://lk.linkedin.com/pub/nifras-ismail/54/343/94b>
On Wed, Oct 21, 2015 at 10:39 AM, NIFRAS ISMAIL <[email protected]> wrote: > Absolutely, the *product_id *is the response variable. Get the point > catch u after classify ASAP. > > Thank you > > Regards. > *M. Nifras Ismail* > [image: LinkedIn] <http://lk.linkedin.com/pub/nifras-ismail/54/343/94b> > > > > On Wed, Oct 21, 2015 at 10:35 AM, Fazlan Nazeem <[email protected]> wrote: > >> AFAIU your problem is a multi-class classification problem. Therefore any >> algorithm which falls under that category can be used (decision tree, naive >> bayes etc). You should appropriately chose the response variable(the >> feature to be predicted) in the workflow. I hope in this case what you are >> trying to predict is the "product_id". Therefore that should be the >> response variable. >> >> On Wed, Oct 21, 2015 at 10:22 AM, NIFRAS ISMAIL <[email protected]> >> wrote: >> >>> Hi Fazlan, >>> >>> I have reached that point [1] . I am confused about algorithms which I >>> choose to find the patterns on the data. >>> >>> I clearly mention you about my problem. Could you please give me a >>> solution of choosing algorithm. >>> >>> * I have data of shopping mall basket. >>> >>> * Data Headers : >>> time_id,unit_sales,customer_id,birthdate,marital_status,yearly_income,gender,total_children,num_children_at_home,education,member_card,occupation,houseowner,num_cars_owned,product_id >>> >>> * From this data i need to predict which item will be buy by the user in >>> next visit? >>> *{coffee,sugar} => {milk}* >>> Which algorithm I need to choose? >>> >>> >>> >>> [1] https://docs.wso2.com/display/ML100/Exploring+Data >>> <https://docs.wso2.com/display/ML100/Exploring+Data> >>> >>> Regards. >>> *M. Nifras Ismail* >>> [image: LinkedIn] <http://lk.linkedin.com/pub/nifras-ismail/54/343/94b> >>> >>> >>> >>> On Wed, Oct 21, 2015 at 10:10 AM, Fazlan Nazeem <[email protected]> >>> wrote: >>> >>>> K-means algorithm is applied to cluster the data you already have into >>>> identifiable clusters. It is applied to better understand the data you >>>> already have. >>>> >>>> in the general K-means algorithm we are not going to predict clusters >>>> for new data points. Therefore the predict option is not available for >>>> kmeans models. The view option will be available in the next release so >>>> that you can view the cluster diagram of it. As a workaround you can view >>>> the cluster diagram of your data set through the data exploration view(This >>>> also uses K-means). Please refer to the "cluster diagram" section of the >>>> the documentation[1] link. >>>> >>>> [1] https://docs.wso2.com/display/ML100/Exploring+Data >>>> <https://docs.wso2.com/display/ML100/Exploring+Data> >>>> >>>> On Wed, Oct 21, 2015 at 9:09 AM, NIFRAS ISMAIL <[email protected]> >>>> wrote: >>>> >>>>> Hi Team ML, >>>>> I have did K-Means clustering on wso2ML but unfortunately I could not >>>>> find the Predict tab. >>>>> >>>>> I am using a shopping mall data set. I need to find the users buying >>>>> patterns. Therefore, I cluster the user buying products from different >>>>> models by K-Means Clustering . >>>>> >>>>> I have successfully created the model and i could not find the >>>>> predict. How am i predict using wso2 ML UI. >>>>> >>>>> I'm following this documentation >>>>> <https://docs.wso2.com/display/ML100/Making+Predictions+Using+the+ML+UI> >>>>> >>>>> >>>>> >>>>> >>>>> Regards. >>>>> *M. Nifras Ismail* >>>>> [image: LinkedIn] >>>>> <http://lk.linkedin.com/pub/nifras-ismail/54/343/94b> >>>>> >>>>> >>>>> >>>>> _______________________________________________ >>>>> Dev mailing list >>>>> [email protected] >>>>> http://wso2.org/cgi-bin/mailman/listinfo/dev >>>>> >>>>> >>>> >>>> >>>> -- >>>> Thanks & Regards, >>>> >>>> Fazlan Nazeem >>>> >>>> *Software Engineer* >>>> >>>> *WSO2 Inc* >>>> Mobile : +94772338839 >>>> <%2B94%20%280%29%20773%20451194> >>>> [email protected] >>>> >>> >>> >> >> >> -- >> Thanks & Regards, >> >> Fazlan Nazeem >> >> *Software Engineer* >> >> *WSO2 Inc* >> Mobile : +94772338839 >> <%2B94%20%280%29%20773%20451194> >> [email protected] >> > >
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