Siladittya Manna sadimanna
🎯
sadimanna
/ specificity.py
Created
June 20, 2020 15:39
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def specificity(y, pred, th=0.5): | |
| tn = TN(y,pred,th) | |
| fp = FP(y,pred,th) | |
| return tn/(tn+fp) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def fscore(y,pred,beta=1.0): | |
| p = precision(y,pred) | |
| r = recall(y,pred) | |
| return (1+beta**2)*p*r/((1+beta**2)*p+r) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def npv(y, pred, th=0.5): | |
| tn = TN(y,pred,th) | |
| fn = FN(y,pred,th) | |
| return tn/(tn+fn) |
sadimanna
/ PREVALENCE.py
Created
June 20, 2020 16:15
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def prevalence(y): | |
| return np.sum(y)/y.shape[0] |
sadimanna
/ PREVALENCE.py
Created
June 20, 2020 16:15
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def prevalence(y): | |
| return np.sum(y)/y.shape[0] |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def fdr(y,pred,th=0.5): | |
| fp = FP(y,pred,th) | |
| tp = TP(y,pred,th) | |
| return fp/(fp+tp) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def for(y,pred,th=0.5): | |
| fn = FN(y,pred,th) | |
| tn = TN(y,pred,th) | |
| return fn/(fn+tn) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def fnr(y,pred,th=0.5): | |
| fn = FN(y,pred,th) | |
| tp = TP(y,pred,th) | |
| return fn/(tp+fn) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def fpr(y,pred,th=0.5): | |
| fp = FP(y,pred,th) | |
| tn = TN(y,pred,th) | |
| return fp/(tn+fp) |
sadimanna
/ auc_roc.py
Last active
June 20, 2020 20:39
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def roc_curve(y,pred): | |
| TPR = [0.0] | |
| FPR = [0.0] | |
| thresholds = np.arange(0.01,1.00+0.01,0.01) | |
| for th in thresholds: | |
| TPR.append(recall(y,pred,th)) | |
| FPR.append(fpr(y,pred,th)) | |
| return TPR,FPR,thresholds | |