Hello Joel, Here is the final iteration in json format.
https://www.dropbox.com/s/g3a3606ms6cu8q4/final_iteration.json?dl=0 Below is the expression used update(models, batchSize="50", train(trainingSet, features(trainingSet, q="*:*", featureSet="threatFeatures", field="body_txt", outcome="out_i", numTerms=2500), q="*:*", name="threatModel", field="body_txt", outcome="out_i", maxIterations="1000")) I just have 16 documents with 8+ve and 8-ves. The field which contains the feedback is body_txt (text_general type) Thanks for looking. On Wed, Feb 8, 2017 at 7:52 AM, Joel Bernstein <joels...@gmail.com> wrote: > Can you post the final iteration of the model? > > Also the expression you used to train the model? > > How much training data do you have? Ho many positive examples and negatives > examples? > > Joel Bernstein > http://joelsolr.blogspot.com/ > > On Tue, Feb 7, 2017 at 2:14 PM, Susheel Kumar <susheel2...@gmail.com> > wrote: > > > Hello, > > > > I am tried to follow http://joelsolr.blogspot.com/ to see if we can > > classify positive & negative feedbacks using streaming expressions. All > > works but end result where probability_d result of classify expression > > gives similar results for positive / negative feedback. See below > > > > What I may be missing here. Do i need to put more data in training set > or > > something else? > > > > > > { "result-set": { "docs": [ { "body_txt": [ "love the company" ], > > "score_d": 2.1892474120319667, "id": "6", "probability_d": > > 0.977944433135261 }, { "body_txt": [ "bad experience " ], "score_d": > > 3.1689453250842914, "id": "5", "probability_d": 0.9888109278133054 }, { > > "body_txt": [ "This company rewards its employees, but you should only > work > > here if you truly love sales. The stress of the job can get to you and > they > > definitely push you." ], "score_d": 4.621702323888672, "id": "4", > > "probability_d": 0.9999999999898557 }, { "body_txt": [ "no chance for > > advancement with that company every year I was there it got worse I don't > > know if all branches of adp but Florence organization was turn over rate > > would be higher if it was for temp workers" ], "score_d": > > 5.288898825826228, "id": "3", "probability_d": 0.9999999999999956 }, { > > "body_txt": [ "It was a pleasure to work at the Milpitas campus. The team > > that works there are professional and dedicated individuals. The level of > > loyalty and dedication is impressive" ], "score_d": 2.5303947056922937, > > "id": "2", "probability_d": 0.9999990430778418 }, > > >
