To me, those numbers appear identical at 2 decimal places. On 17 June 2015 at 23:04, Herbert Schulz <hrbrt....@gmail.com> wrote:
> Hello everyone, > > i wrote a function to calculate the sensitivity,specificity, ballance > accuracy and accuracy from a confusion matrix. > > > Now i have a Problem, I'm getting different values when I'm comparing my > Values with those from the metrics.classification_report function. > The general problem ist, my predicted sensitivity is in the classification > report the precision value. I'm computing every sensitivity with the one > vs all approach. So e.g. Class 1 == true, class 2,3,4,5 are the rest (not > true). > > I did this only to get the specificity, and to compare if i computed > everything right. > > > > ----------- ensemble ----------- > > precision recall f1-score support > > 1.0 * 0.56 * 0.68 0.61 129 > 2.0 *0.28* 0.15 0.20 78 > 3.0 * 0.45 * 0.47 0.46 116 > 4.0 *0.29* 0.05 0.09 40 > 5.0 * 0.44 * 0.66 0.53 70 > > avg / total 0.43 0.47 0.43 433 > > > Class: 1 > sensitivity:*0.556962025316* > specificity: 0.850909090909 > ballanced accuracy: 0.703935558113 > > Class: 2 > sensitivity:*0.279069767442* > specificity: 0.830769230769 > ballanced accuracy: 0.554919499106 > > Class: 3 > sensitivity*:0.446280991736* > specificity: 0.801282051282 > ballanced accuracy: 0.623781521509 > > Class: 4 > sensitivity:*0.285714285714* > specificity: 0.910798122066 > ballanced accuracy: 0.59825620389 > > Class: 5 > sensitivity:*0.442307692308* > specificity: 0.927051671733 > ballanced accuracy: 0.68467968202 > > > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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