Dear ScikitLearners, I hope that I'm not too much off topic...
Given a confusion matrix (trained in scikit-learn): [[186 187] [119 997]] I calculate these variables: exp_class0 = conf_matrix[0].sum() exp_class1 = conf_matrix[1].sum() pred_class0 = conf_matrix[:,0].sum() pred_class1 = conf_matrix[:,1].sum() Based on these parameters/constraints, I would like to generate a "kind-of-random" confusion matrix showing the same sum of rows and colums as the trained confusion matrix, e.g. [[184 189] [121 995]] which is rather close to my original confusion matrix, but for this sampling I didn't need good coding skills. :) How can such a sampling be done in Python/Numpy? I have spent some time on stackoverflow.com et al., but I didn't find a proper solution.. Cheers & Thanks, Paul This message and any attachment are confidential and may be privileged or otherwise protected from disclosure. If you are not the intended recipient, you must not copy this message or attachment or disclose the contents to any other person. If you have received this transmission in error, please notify the sender immediately and delete the message and any attachment from your system. Merck KGaA, Darmstadt, Germany and any of its subsidiaries do not accept liability for any omissions or errors in this message which may arise as a result of E-Mail-transmission or for damages resulting from any unauthorized changes of the content of this message and any attachment thereto. Merck KGaA, Darmstadt, Germany and any of its subsidiaries do not guarantee that this message is free of viruses and does not accept liability for any damages caused by any virus transmitted therewith. Click http://www.merckgroup.com/disclaimer to access the German, French, Spanish and Portuguese versions of this disclaimer. ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_mar _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
