PyCM Report

Dataset Type :

Note 1 : Recommended statistics for this type of classification highlighted in aqua

Note 2 : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it. If the confusion matrix is the result of test data classification, the recommendation is not valid.

Confusion Matrix :

Actual Predict
1.2.1 1.2.4 1.2.5 1.3.6 1.3.7 1.3.8 1.6.2 1.6.4 1.6.8 1.7.4 1.7.6 1.7.7 1.7.9 1.8.5 10.1.1 10.1.2 10.1.5 10.2.1 10.4.2 2.1.1 2.1.2 2.1.7 2.2.3 2.3.1 2.6.1 2.6.3 2.7.2 3.1.1 3.1.5 3.1.6 3.3.1 3.4.1 5.1.1 6.1.1 6.1.3 6.1.5 6.2.1 6.2.2 6.2.3 6.3.1 6.3.7 7.1.1 7.2.1 7.3.1 7.9.2 8.1.4 8.1.5 8.2.1 9.1.6 9.3.1
1.2.1 785 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 1
1.2.4 0 736 0 0 3 6 1 1 15 5 0 1 1 0 0 1 0 0 24 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0
1.2.5 5 2 774 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 2 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 1 6 0 0 1
1.3.6 0 1 0 772 9 3 1 2 0 0 0 0 0 0 2 1 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
1.3.7 0 5 1 4 746 16 0 1 0 0 1 0 4 2 1 4 0 0 5 1 2 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 0 0 0 0 1 0
1.3.8 0 3 1 8 12 767 0 0 0 0 0 0 1 0 0 0 0 0 6 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
1.6.2 1 1 0 21 0 0 751 4 8 0 0 0 3 0 0 2 0 0 6 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1.6.4 0 4 3 2 5 0 6 721 7 0 0 0 4 1 0 2 0 0 3 25 1 0 0 0 7 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 3 0
1.6.8 0 14 0 0 1 0 2 0 754 4 0 0 3 0 0 0 0 0 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
1.7.4 0 5 0 0 0 0 0 0 0 731 7 6 3 1 3 0 0 0 8 0 0 0 0 0 1 6 3 0 0 0 0 0 0 0 0 0 0 0 0 4 17 0 0 1 0 0 1 0 3 0
1.7.6 0 0 0 0 0 3 0 0 0 4 750 5 0 0 0 0 0 0 3 1 5 0 0 0 0 3 0 0 0 0 0 0 0 1 0 1 0 22 0 0 0 0 0 0 0 0 1 0 0 1
1.7.7 0 0 1 0 0 0 0 0 0 13 0 743 16 0 1 1 0 0 1 0 0 0 0 0 5 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 4 0 3 0
1.7.9 0 0 0 6 8 3 19 18 12 4 3 14 675 2 1 2 0 0 6 0 1 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 2 1 0 1 4 0 1 0 4 2 5 0 3 0
1.8.5 0 0 0 1 0 1 2 4 0 0 0 0 3 779 1 0 0 0 1 3 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
10.1.1 1 0 1 2 0 2 0 0 0 0 1 1 3 2 734 5 23 0 12 0 0 0 0 1 0 1 0 0 1 0 1 0 1 1 0 0 0 2 0 0 0 1 0 0 0 0 3 0 0 1
10.1.2 3 3 0 1 10 1 3 12 0 0 1 3 5 1 6 693 1 0 17 5 2 0 0 0 0 1 2 0 0 2 0 0 0 0 0 1 2 3 0 0 1 0 0 0 0 1 4 2 11 3
10.1.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 787 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
10.2.1 0 0 0 0 1 1 0 0 0 0 0 2 0 0 0 1 0 780 3 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 1 0 0
10.4.2 5 41 6 2 2 6 11 6 45 20 5 8 15 22 6 22 0 0 505 1 7 1 2 1 4 4 0 0 1 0 3 0 2 1 0 1 11 4 1 0 3 1 3 3 4 6 7 1 0 1
2.1.1 0 0 2 1 0 1 0 4 0 0 0 0 0 0 0 0 0 0 2 769 1 3 0 0 10 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 2 2 0 0 0 0 0 0
2.1.2 0 0 1 0 0 0 0 3 0 0 1 2 1 0 1 2 0 0 1 4 751 8 0 1 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 1 0 2 0 1 0 1 14
2.1.7 0 2 0 0 3 0 0 5 2 0 0 0 4 0 0 0 0 0 1 8 4 765 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0
2.2.3 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 795 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2.3.1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 800 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2.6.1 0 0 0 0 0 0 1 1 0 1 4 1 1 0 0 1 0 0 5 1 0 0 0 0 774 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 5
2.6.3 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 797 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2.7.2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 796 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3.1.1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 757 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3.1.5 0 0 0 5 0 0 3 0 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 0 0 0 8 778 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3.1.6 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 3 5 789 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3.3.1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 3 0 0 0 0 1 0 0 0 0 0 793 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3.4.1 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 797 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5.1.1 0 0 2 3 1 0 1 2 0 0 0 2 0 0 0 1 0 0 2 1 1 1 1 0 0 0 0 0 0 0 0 0 745 35 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0
6.1.1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 796 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6.1.3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 798 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6.1.5 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 792 0 0 0 0 0 0 0 0 1 0 0 0 1 0
6.2.1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 2 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 787 2 0 1 0 0 0 0 1 0 0 0 0 0
6.2.2 0 0 0 0 0 0 0 0 0 1 36 1 0 0 0 0 0 0 0 1 0 2 0 0 0 2 0 2 0 0 0 0 0 0 1 0 5 746 0 0 0 0 0 0 0 1 0 1 1 0
6.2.3 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 795 0 0 0 0 0 0 0 0 0 0 0
6.3.1 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 789 1 0 0 0 0 0 0 0 0 0
6.3.7 0 0 0 0 1 0 0 1 0 8 1 8 3 0 0 1 0 0 0 0 0 0 0 0 1 6 0 0 0 0 0 0 0 0 0 0 0 8 0 0 760 1 0 0 0 0 0 1 0 0
7.1.1 0 0 0 0 0 3 0 0 0 1 0 0 2 0 0 0 0 0 3 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 788 0 1 0 0 0 0 0 0
7.2.1 0 1 0 0 0 0 0 0 0 0 0 2 1 0 1 0 0 0 2 5 1 1 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 0 781 0 1 0 0 0 0 0
7.3.1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 1 0 0 0 794 0 0 0 0 0 0
7.9.2 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 788 2 0 0 0 2
8.1.4 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 792 0 0 0 0
8.1.5 1 0 5 0 0 0 0 1 0 0 0 2 0 0 0 3 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 783 0 0 0
8.2.1 0 0 2 0 0 0 0 0 0 0 0 0 0 3 1 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 788 0 0
9.1.6 0 0 0 0 2 0 0 2 0 0 1 3 0 0 0 6 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 7 0 767 6
9.3.1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 794

Overall Statistics :

95% CI (0.95366,0.95769)
ACC Macro 0.99823
ARI 0.91488
AUNP 0.97739
AUNU 0.97739
Bangdiwala B 0.91662
Bennett S 0.95477
CBA 0.94524
CSI 0.91087
Chi-Squared 1791061.05507
Chi-Squared DF 2401
Conditional Entropy 0.36718
Cramer V 0.95593
Cross Entropy 5.64483
F1 Macro 0.95515
F1 Micro 0.95568
FNR Macro 0.04432
FNR Micro 0.04432
FPR Macro 0.0009
FPR Micro 0.0009
Gwet AC1 0.95477
Hamming Loss 0.04432
Joint Entropy 6.01103
KL Divergence 0.00097
Kappa 0.95477
Kappa 95% CI (0.95271,0.95683)
Kappa No Prevalence 0.91135
Kappa Standard Error 0.00105
Kappa Unbiased 0.95477
Krippendorff Alpha 0.95477
Lambda A 0.95477
Lambda B 0.95471
Mutual Information 5.27574
NIR 0.02
Overall ACC 0.95568
Overall CEN 0.05306
Overall J (45.88645,0.91773)
Overall MCC 0.95478
Overall MCEN 0.0904
Overall RACC 0.02
Overall RACCU 0.02001
P-Value None
PPV Macro 0.95519
PPV Micro 0.95568
Pearson C 0.98902
Phi-Squared 44.77653
RCI 0.93478
RR 800.0
Reference Entropy 5.64386
Response Entropy 5.64291
SOA1(Landis & Koch) Almost Perfect
SOA2(Fleiss) Excellent
SOA3(Altman) Very Good
SOA4(Cicchetti) Excellent
SOA5(Cramer) Very Strong
SOA6(Matthews) Very Strong
Scott PI 0.95477
Standard Error 0.00103
TNR Macro 0.9991
TNR Micro 0.9991
TPR Macro 0.95568
TPR Micro 0.95568
Zero-one Loss 1773

Class Statistics :

Class 1.2.1 1.2.4 1.2.5 1.3.6 1.3.7 1.3.8 1.6.2 1.6.4 1.6.8 1.7.4 1.7.6 1.7.7 1.7.9 1.8.5 10.1.1 10.1.2 10.1.5 10.2.1 10.4.2 2.1.1 2.1.2 2.1.7 2.2.3 2.3.1 2.6.1 2.6.3 2.7.2 3.1.1 3.1.5 3.1.6 3.3.1 3.4.1 5.1.1 6.1.1 6.1.3 6.1.5 6.2.1 6.2.2 6.2.3 6.3.1 6.3.7 7.1.1 7.2.1 7.3.1 7.9.2 8.1.4 8.1.5 8.2.1 9.1.6 9.3.1 Description
ACC 0.99918 0.99628 0.99872 0.99782 0.99712 0.99795 0.99742 0.9963 0.99662 0.99675 0.9971 0.99695 0.99498 0.99852 0.99732 0.99588 0.99908 0.99948 0.98865 0.99755 0.99782 0.99862 0.99975 0.99992 0.99842 0.99892 0.99962 0.9986 0.9982 0.99965 0.99972 0.99988 0.99845 0.99852 0.99988 0.99968 0.99902 0.99745 0.99985 0.99955 0.9981 0.9993 0.99908 0.99945 0.99932 0.99938 0.99852 0.99955 0.99845 0.99898 Accuracy
AGF 0.99001 0.95583 0.98341 0.97813 0.96413 0.97675 0.96767 0.9496 0.96497 0.95604 0.96566 0.96203 0.92288 0.98439 0.96012 0.93532 0.99029 0.98957 0.80562 0.97558 0.96965 0.97932 0.99681 0.99962 0.98191 0.99341 0.99656 0.97596 0.98237 0.99398 0.99591 0.99821 0.97029 0.99102 0.9986 0.99527 0.99004 0.96573 0.99732 0.99347 0.97468 0.99181 0.98794 0.9949 0.99194 0.99375 0.98596 0.99308 0.97925 0.9925 Adjusted F-score
AGM 0.9949 0.97778 0.99125 0.98996 0.98151 0.98855 0.98327 0.97312 0.98358 0.97658 0.98272 0.98045 0.95746 0.99261 0.97795 0.96393 0.99542 0.99363 0.8934 0.98885 0.98357 0.98845 0.99832 0.99994 0.99102 0.99829 0.99853 0.98599 0.99206 0.99646 0.99771 0.99901 0.9822 0.99769 0.99931 0.99737 0.99539 0.98175 0.9984 0.99638 0.98653 0.99589 0.99362 0.9978 0.99591 0.99714 0.99381 0.99608 0.98892 0.99744 Adjusted geometric mean
AM 3 21 -1 31 7 16 5 -10 43 -8 16 8 -49 17 -25 -49 11 -19 -136 36 -11 -15 0 3 11 37 7 -30 28 -8 -3 -1 -48 51 1 -3 13 -6 -4 -4 -4 4 -1 10 3 9 25 -6 -4 29 Difference between automatic and manual classification
AUC 0.9904 0.95892 0.98343 0.98175 0.96547 0.97875 0.96869 0.94974 0.97011 0.9561 0.96791 0.96355 0.92091 0.98639 0.95823 0.93239 0.99157 0.98749 0.8136 0.97977 0.96889 0.97787 0.99681 0.99996 0.98328 0.99761 0.99736 0.97296 0.98561 0.99309 0.99557 0.9981 0.96554 0.9968 0.99871 0.99494 0.99154 0.96564 0.99686 0.99304 0.97454 0.9923 0.9879 0.99605 0.99231 0.99478 0.98884 0.99242 0.97901 0.9958 Area under the ROC curve
AUCI Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Very Good Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent Excellent AUC value interpretation
AUPR 0.97942 0.90823 0.96811 0.947 0.92846 0.94935 0.93583 0.90695 0.91846 0.91836 0.92831 0.92415 0.87128 0.96362 0.9323 0.89451 0.97708 0.98686 0.6959 0.94055 0.94529 0.96539 0.99375 0.99813 0.96094 0.97423 0.99068 0.96468 0.95606 0.99123 0.99312 0.99687 0.96097 0.96519 0.99688 0.99186 0.97588 0.93602 0.99625 0.98873 0.95239 0.98255 0.97686 0.98637 0.98316 0.98449 0.96392 0.98872 0.96116 0.97514 Area under the PR curve
BCD 4e-05 0.00026 1e-05 0.00039 9e-05 0.0002 6e-05 0.00012 0.00054 0.0001 0.0002 0.0001 0.00061 0.00021 0.00031 0.00061 0.00014 0.00024 0.0017 0.00045 0.00014 0.00019 0.0 4e-05 0.00014 0.00046 9e-05 0.00038 0.00035 0.0001 4e-05 1e-05 0.0006 0.00064 1e-05 4e-05 0.00016 7e-05 5e-05 5e-05 5e-05 5e-05 1e-05 0.00012 4e-05 0.00011 0.00031 7e-05 5e-05 0.00036 Bray-Curtis dissimilarity
BM 0.98079 0.91783 0.96686 0.96349 0.93094 0.9575 0.93737 0.89949 0.94023 0.91219 0.93582 0.92709 0.84181 0.97278 0.91645 0.86477 0.98314 0.97497 0.62719 0.95954 0.93778 0.95574 0.99362 0.99992 0.96656 0.99523 0.99472 0.94592 0.97122 0.98617 0.99115 0.9962 0.93107 0.9936 0.99742 0.98987 0.98309 0.93128 0.99372 0.98607 0.94908 0.98459 0.97579 0.99209 0.98462 0.98957 0.97768 0.98485 0.95801 0.99161 Informedness or bookmaker informedness
CEN 0.02827 0.09965 0.0448 0.06595 0.08972 0.06274 0.07521 0.11098 0.08218 0.09551 0.08051 0.09245 0.15349 0.04635 0.08316 0.13001 0.02271 0.01821 0.33008 0.07461 0.07362 0.04643 0.00968 0.00301 0.05224 0.03589 0.01338 0.03182 0.0441 0.0124 0.01018 0.00484 0.04509 0.03959 0.00503 0.01291 0.03204 0.06978 0.00586 0.01599 0.05821 0.02456 0.03422 0.01968 0.0244 0.02187 0.0481 0.01688 0.05081 0.03214 Confusion entropy
DOR 113918.03704 5292.02941 46648.38462 18291.07264 8863.90225 18570.69697 11110.5994 5175.83031 7203.14949 6797.48373 8894.09091 7848.12551 2779.86316 38229.57143 10621.84257 4370.83564 98818.94872 1528761.0 420.33269 14488.81897 15795.19979 42818.14286 1246401.0 None 31509.52391 260087.66667 708964.63636 53067.18962 27689.72727 937164.63636 1110086.71429 5206801.0 75841.0 141633.72727 5213201.0 776061.0 91212.83432 11268.28395 6232641.00001 401601.0 20669.88889 160817.66667 89477.02339 324084.33333 171543.22222 228183.35294 42942.17647 428956.55556 31394.10345 148081.0 Diagnostic odds ratio
DP 2.78785 2.05294 2.57406 2.3499 2.17644 2.35353 2.23053 2.04762 2.12676 2.11288 2.17725 2.1473 1.89879 2.52641 2.21976 2.00715 2.7538 3.40961 1.44646 2.2941 2.31477 2.55355 3.36071 None 2.48012 2.98551 3.22562 2.60493 2.44918 3.29243 3.33298 3.70304 2.69043 2.83999 3.70333 3.24727 2.73462 2.23391 3.7461 3.08953 2.37917 2.8704 2.73002 3.03819 2.88586 2.95418 2.55424 3.10531 2.47924 2.85065 Discriminant power
DPI Fair Fair Fair Fair Fair Fair Fair Fair Fair Fair Fair Fair Limited Fair Fair Fair Fair Good Limited Fair Fair Fair Good None Fair Fair Good Fair Fair Good Good Good Fair Fair Good Good Fair Fair Good Good Fair Fair Fair Good Fair Fair Fair Good Fair Fair Discriminant power interpretation
ERR 0.00082 0.00372 0.00128 0.00218 0.00287 0.00205 0.00257 0.0037 0.00338 0.00325 0.0029 0.00305 0.00502 0.00148 0.00267 0.00413 0.00092 0.00052 0.01135 0.00245 0.00218 0.00138 0.00025 8e-05 0.00157 0.00108 0.00038 0.0014 0.0018 0.00035 0.00028 0.00013 0.00155 0.00148 0.00013 0.00033 0.00097 0.00255 0.00015 0.00045 0.0019 0.0007 0.00092 0.00055 0.00067 0.00062 0.00148 0.00045 0.00155 0.00103 Error rate
F0.5 0.97832 0.90108 0.96847 0.93598 0.92602 0.94365 0.93408 0.91035 0.90364 0.92112 0.92274 0.92138 0.88722 0.95747 0.94103 0.91088 0.97305 0.99388 0.73061 0.92785 0.94919 0.97081 0.99375 0.99701 0.95697 0.9607 0.98808 0.97552 0.94601 0.9942 0.99423 0.99725 0.9782 0.94672 0.9965 0.99298 0.97113 0.93813 0.99774 0.99021 0.95382 0.98108 0.97723 0.98267 0.98205 0.98117 0.95488 0.99095 0.9626 0.96453 F0.5 score
F1 0.97941 0.90808 0.96811 0.94666 0.92844 0.94926 0.93583 0.90692 0.91783 0.91834 0.92822 0.92413 0.87041 0.96351 0.93206 0.89362 0.97703 0.98672 0.68989 0.9401 0.94525 0.9653 0.99375 0.99813 0.96089 0.97373 0.99067 0.96433 0.95577 0.99121 0.99311 0.99687 0.96005 0.96426 0.99688 0.99186 0.97582 0.93601 0.99624 0.98872 0.95238 0.98254 0.97686 0.98634 0.98316 0.98446 0.96369 0.98871 0.96115 0.97483 F1 score - harmonic mean of precision and sensitivity
F2 0.98051 0.9152 0.96774 0.95758 0.93087 0.95493 0.93758 0.90351 0.93248 0.91558 0.93376 0.9269 0.85421 0.96963 0.92327 0.87699 0.98105 0.97965 0.65347 0.95268 0.94134 0.95985 0.99375 0.99925 0.96485 0.98712 0.99326 0.9534 0.96574 0.98823 0.99199 0.9965 0.94256 0.98247 0.99725 0.99074 0.98056 0.9339 0.99474 0.98724 0.95095 0.98402 0.97649 0.99002 0.98426 0.98778 0.97267 0.98648 0.95971 0.98536 F2 score
FDR 0.02242 0.10353 0.03129 0.071 0.07559 0.06005 0.06708 0.08734 0.10558 0.07702 0.08088 0.08045 0.1012 0.04651 0.0529 0.07723 0.02959 0.00128 0.23946 0.08014 0.04816 0.02548 0.00625 0.00374 0.04562 0.04779 0.01363 0.01688 0.06039 0.00379 0.00502 0.0025 0.00931 0.06463 0.00375 0.00627 0.03198 0.06045 0.00126 0.00879 0.04523 0.0199 0.02253 0.01975 0.01868 0.02101 0.05091 0.00756 0.03643 0.04222 False discovery rate
FN 15 64 26 28 54 33 49 79 46 69 50 57 125 21 66 107 13 20 295 31 49 35 5 0 26 3 4 43 22 11 7 3 55 4 2 8 13 54 5 11 40 12 19 6 12 8 17 12 33 6 False negative/miss/type 2 error
FNR 0.01875 0.08 0.0325 0.035 0.0675 0.04125 0.06125 0.09875 0.0575 0.08625 0.0625 0.07125 0.15625 0.02625 0.0825 0.13375 0.01625 0.025 0.36875 0.03875 0.06125 0.04375 0.00625 0.0 0.0325 0.00375 0.005 0.05375 0.0275 0.01375 0.00875 0.00375 0.06875 0.005 0.0025 0.01 0.01625 0.0675 0.00625 0.01375 0.05 0.015 0.02375 0.0075 0.015 0.01 0.02125 0.015 0.04125 0.0075 Miss rate or false negative rate
FOR 0.00038 0.00163 0.00066 0.00071 0.00138 0.00084 0.00125 0.00201 0.00117 0.00176 0.00128 0.00145 0.00318 0.00054 0.00168 0.00273 0.00033 0.00051 0.0075 0.00079 0.00125 0.00089 0.00013 0.0 0.00066 8e-05 0.0001 0.0011 0.00056 0.00028 0.00018 8e-05 0.0014 0.0001 5e-05 0.0002 0.00033 0.00138 0.00013 0.00028 0.00102 0.00031 0.00048 0.00015 0.00031 0.0002 0.00043 0.00031 0.00084 0.00015 False omission rate
FP 18 85 25 59 61 49 54 69 89 61 66 65 76 38 41 58 24 1 159 67 38 20 5 3 37 40 11 13 50 3 4 2 7 55 3 5 26 48 1 7 36 16 18 16 15 17 42 6 29 35 False positive/type 1 error/false alarm
FPR 0.00046 0.00217 0.00064 0.00151 0.00156 0.00125 0.00138 0.00176 0.00227 0.00156 0.00168 0.00166 0.00194 0.00097 0.00105 0.00148 0.00061 3e-05 0.00406 0.00171 0.00097 0.00051 0.00013 8e-05 0.00094 0.00102 0.00028 0.00033 0.00128 8e-05 0.0001 5e-05 0.00018 0.0014 8e-05 0.00013 0.00066 0.00122 3e-05 0.00018 0.00092 0.00041 0.00046 0.00041 0.00038 0.00043 0.00107 0.00015 0.00074 0.00089 Fall-out or false positive rate
G 0.97942 0.90816 0.96811 0.94683 0.92845 0.9493 0.93583 0.90694 0.91815 0.91835 0.92826 0.92414 0.87084 0.96357 0.93218 0.89406 0.97706 0.98679 0.69289 0.94033 0.94527 0.96534 0.99375 0.99813 0.96092 0.97398 0.99068 0.96451 0.95592 0.99122 0.99311 0.99687 0.96051 0.96472 0.99688 0.99186 0.97585 0.93602 0.99624 0.98872 0.95238 0.98255 0.97686 0.98635 0.98316 0.98448 0.96381 0.98871 0.96116 0.97499 G-measure geometric mean of precision and sensitivity
GI 0.98079 0.91783 0.96686 0.96349 0.93094 0.9575 0.93737 0.89949 0.94023 0.91219 0.93582 0.92709 0.84181 0.97278 0.91645 0.86477 0.98314 0.97497 0.62719 0.95954 0.93778 0.95574 0.99362 0.99992 0.96656 0.99523 0.99472 0.94592 0.97122 0.98617 0.99115 0.9962 0.93107 0.9936 0.99742 0.98987 0.98309 0.93128 0.99372 0.98607 0.94908 0.98459 0.97579 0.99209 0.98462 0.98957 0.97768 0.98485 0.95801 0.99161 Gini index
GM 0.99035 0.95813 0.9833 0.9816 0.96491 0.97855 0.96822 0.94851 0.96972 0.95516 0.96743 0.96292 0.91767 0.98631 0.95736 0.93004 0.99154 0.98741 0.7929 0.9796 0.96842 0.97763 0.99681 0.99996 0.98315 0.99761 0.99736 0.97259 0.98553 0.99306 0.99556 0.9981 0.96493 0.9968 0.99871 0.99492 0.99151 0.96507 0.99686 0.99301 0.97423 0.99227 0.98783 0.99604 0.99228 0.99477 0.98879 0.9924 0.9788 0.9958 G-mean geometric mean of specificity and sensitivity
IBA 0.96286 0.84656 0.93608 0.93127 0.86965 0.91925 0.88133 0.81241 0.88842 0.83506 0.879 0.86268 0.71217 0.94821 0.84188 0.75056 0.96777 0.95063 0.39941 0.92406 0.88131 0.91444 0.98754 1.0 0.93609 0.99252 0.99003 0.89541 0.94579 0.97269 0.98258 0.99251 0.86724 0.99003 0.99501 0.9801 0.96777 0.86963 0.98754 0.97269 0.90254 0.97023 0.95307 0.98506 0.97023 0.9801 0.95797 0.97023 0.91923 0.98506 Index of balanced accuracy
ICSI 0.95883 0.81647 0.93621 0.894 0.85691 0.8987 0.87167 0.81391 0.83692 0.83673 0.85662 0.8483 0.74255 0.92724 0.8646 0.78902 0.95416 0.97372 0.39179 0.88111 0.89059 0.93077 0.9875 0.99626 0.92188 0.94846 0.98137 0.92937 0.91211 0.98246 0.98623 0.99375 0.92194 0.93037 0.99375 0.98373 0.95177 0.87205 0.99249 0.97746 0.90477 0.9651 0.95372 0.97275 0.96632 0.96899 0.92784 0.97744 0.92232 0.95028 Individual classification success index
IS 5.61115 5.48618 5.59799 5.53761 5.53046 5.55451 5.54368 5.512 5.48289 5.52823 5.52218 5.52286 5.48993 5.57514 5.56544 5.5279 5.60052 5.64201 5.24896 5.52334 5.57264 5.60662 5.63481 5.63846 5.57649 5.57321 5.62406 5.61929 5.554 5.63838 5.6366 5.64024 5.63036 5.54747 5.63844 5.63478 5.59696 5.55389 5.64204 5.63111 5.57709 5.61486 5.61098 5.61507 5.61665 5.61322 5.56847 5.63291 5.59031 5.58162 Information score
J 0.95966 0.83164 0.93818 0.89872 0.86643 0.90342 0.87939 0.82969 0.84814 0.84901 0.86605 0.85896 0.77055 0.92959 0.87277 0.80769 0.9551 0.97378 0.52659 0.88697 0.89618 0.93293 0.98758 0.99626 0.92473 0.94881 0.9815 0.93112 0.91529 0.98257 0.98632 0.99377 0.92317 0.93099 0.99377 0.98385 0.95278 0.87972 0.99251 0.9777 0.90909 0.96569 0.95477 0.97304 0.96687 0.9694 0.92993 0.97767 0.92521 0.9509 Jaccard index
LS 48.8792 44.82339 48.43554 46.45006 46.22057 46.99755 46.64596 45.63291 44.72123 46.14899 45.95588 45.97772 44.94008 47.67442 47.35484 46.13848 48.52035 49.93598 38.02711 45.99282 47.59189 48.72611 49.6875 49.8132 47.71887 47.61051 49.31846 49.15584 46.98068 49.81061 49.74906 49.87484 49.53457 46.76851 49.81273 49.68632 48.40098 46.97733 49.93719 49.5603 47.73869 49.00498 48.87359 49.01235 49.066 48.94932 47.45455 49.62217 48.17839 47.88902 Lift score
MCC 0.97899 0.90626 0.96745 0.94573 0.92698 0.94826 0.93452 0.90505 0.91644 0.9167 0.92679 0.92259 0.8683 0.96282 0.93082 0.89198 0.97658 0.98652 0.68724 0.93908 0.94416 0.96464 0.99362 0.99809 0.96011 0.97344 0.99048 0.9638 0.955 0.99104 0.99297 0.99681 0.95974 0.96399 0.99681 0.9917 0.97536 0.93472 0.99617 0.9885 0.95141 0.98219 0.97639 0.98607 0.98281 0.98416 0.96306 0.98849 0.96037 0.97447 Matthews correlation coefficient
MCCI Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Strong Very Strong Very Strong Strong Very Strong Very Strong Moderate Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Very Strong Matthews correlation coefficient interpretation
MCEN 0.04948 0.16031 0.0779 0.11106 0.14927 0.10586 0.12475 0.18062 0.13155 0.15637 0.13202 0.15279 0.24316 0.07934 0.13833 0.21018 0.03784 0.03205 0.46022 0.12514 0.12511 0.08011 0.01738 0.00545 0.08981 0.06248 0.02376 0.05156 0.07245 0.02198 0.01817 0.00872 0.07576 0.06655 0.00908 0.02319 0.05568 0.11461 0.01055 0.0283 0.0983 0.04323 0.06027 0.03484 0.0431 0.03855 0.08278 0.03006 0.08714 0.05554 Modified confusion entropy
MK 0.9772 0.89483 0.96805 0.92829 0.92303 0.93911 0.93167 0.91064 0.89325 0.92122 0.91784 0.9181 0.89562 0.95295 0.94541 0.92004 0.97008 0.99821 0.75304 0.91906 0.95059 0.97363 0.99362 0.99626 0.95371 0.95213 0.98627 0.98202 0.93905 0.99593 0.9948 0.99742 0.98929 0.93527 0.9962 0.99352 0.96769 0.93817 0.99862 0.99093 0.95375 0.97979 0.97699 0.98009 0.98101 0.97878 0.94866 0.99214 0.96273 0.95763 Markedness
N 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 39200 Condition negative
NLR 0.01876 0.08017 0.03252 0.03505 0.06761 0.0413 0.06133 0.09892 0.05763 0.08638 0.06261 0.07137 0.15655 0.02628 0.08259 0.13395 0.01626 0.025 0.37025 0.03882 0.06131 0.04377 0.00625 0.0 0.03253 0.00375 0.005 0.05377 0.02754 0.01375 0.00875 0.00375 0.06876 0.00501 0.0025 0.01 0.01626 0.06758 0.00625 0.01375 0.05005 0.01501 0.02376 0.0075 0.01501 0.01 0.02127 0.015 0.04128 0.00751 Negative likelihood ratio
NLRI Good Good Good Good Good Good Good Good Good Good Good Good Fair Good Good Fair Good Good Poor Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Negative likelihood ratio interpretation
NPV 0.99962 0.99837 0.99934 0.99929 0.99862 0.99916 0.99875 0.99799 0.99883 0.99824 0.99872 0.99855 0.99682 0.99946 0.99832 0.99727 0.99967 0.99949 0.9925 0.99921 0.99875 0.99911 0.99987 1.0 0.99934 0.99992 0.9999 0.9989 0.99944 0.99972 0.99982 0.99992 0.9986 0.9999 0.99995 0.9998 0.99967 0.99862 0.99987 0.99972 0.99898 0.99969 0.99952 0.99985 0.99969 0.9998 0.99957 0.99969 0.99916 0.99985 Negative predictive value
OC 0.98125 0.92 0.96871 0.965 0.9325 0.95875 0.93875 0.91266 0.9425 0.92298 0.9375 0.92875 0.8988 0.97375 0.9471 0.92277 0.98375 0.99872 0.76054 0.96125 0.95184 0.97452 0.99375 1.0 0.9675 0.99625 0.995 0.98312 0.9725 0.99621 0.99498 0.9975 0.99069 0.995 0.9975 0.99373 0.98375 0.93955 0.99874 0.99121 0.95477 0.985 0.97747 0.9925 0.985 0.99 0.97875 0.99244 0.96357 0.9925 Overlap coefficient
OOC 0.97942 0.90816 0.96811 0.94683 0.92845 0.9493 0.93583 0.90694 0.91815 0.91835 0.92826 0.92414 0.87084 0.96357 0.93218 0.89406 0.97706 0.98679 0.69289 0.94033 0.94527 0.96534 0.99375 0.99813 0.96092 0.97398 0.99068 0.96451 0.95592 0.99122 0.99311 0.99687 0.96051 0.96472 0.99688 0.99186 0.97585 0.93602 0.99624 0.98872 0.95238 0.98255 0.97686 0.98635 0.98316 0.98448 0.96381 0.98871 0.96116 0.97499 Otsuka-Ochiai coefficient
OP 0.98994 0.95569 0.98253 0.98077 0.96297 0.97752 0.96652 0.94524 0.96816 0.95246 0.96568 0.96084 0.91119 0.98571 0.95482 0.92494 0.99119 0.98683 0.76453 0.97865 0.96672 0.97652 0.99668 0.99989 0.98238 0.99756 0.99726 0.97115 0.9849 0.99277 0.99538 0.99802 0.96294 0.99672 0.99866 0.99471 0.99117 0.96313 0.99673 0.99272 0.97292 0.99195 0.98729 0.99589 0.99196 0.99457 0.98832 0.99207 0.97776 0.99566 Optimized precision
P 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 Condition positive or support
PLR 2136.94444 424.28235 1517.04 641.15254 599.2459 767.0 681.46296 512.01449 415.1236 587.19672 556.81818 560.10769 435.19737 1004.5 877.21951 585.46552 1606.79167 38220.0 155.62893 562.40299 968.39474 1874.25 7791.0 13066.66667 1025.02703 976.325 3545.81818 2853.30769 762.44 12887.0 9714.25 19526.5 5215.0 709.16364 13034.0 7761.6 1483.19231 761.54167 38955.0 5523.0 1034.44444 2413.25 2126.05556 2431.625 2574.13333 2282.82353 913.5 6435.33333 1295.96552 1111.6 Positive likelihood ratio
PLRI Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Good Positive likelihood ratio interpretation
POP 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 40000 Population
PPV 0.97758 0.89647 0.96871 0.929 0.92441 0.93995 0.93292 0.91266 0.89442 0.92298 0.91912 0.91955 0.8988 0.95349 0.9471 0.92277 0.97041 0.99872 0.76054 0.91986 0.95184 0.97452 0.99375 0.99626 0.95438 0.95221 0.98637 0.98312 0.93961 0.99621 0.99498 0.9975 0.99069 0.93537 0.99625 0.99373 0.96802 0.93955 0.99874 0.99121 0.95477 0.9801 0.97747 0.98025 0.98132 0.97899 0.94909 0.99244 0.96357 0.95778 Precision or positive predictive value
PRE 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 Prevalence
Q 0.99998 0.99962 0.99996 0.99989 0.99977 0.99989 0.99982 0.99961 0.99972 0.99971 0.99978 0.99975 0.99928 0.99995 0.99981 0.99954 0.99998 1.0 0.99525 0.99986 0.99987 0.99995 1.0 None 0.99994 0.99999 1.0 0.99996 0.99993 1.0 1.0 1.0 0.99997 0.99999 1.0 1.0 0.99998 0.99982 1.0 1.0 0.9999 0.99999 0.99998 0.99999 0.99999 0.99999 0.99995 1.0 0.99994 0.99999 Yule Q - coefficient of colligation
QI Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong None Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong Yule Q interpretation
RACC 0.0004 0.00041 0.0004 0.00042 0.0004 0.00041 0.0004 0.0004 0.00042 0.0004 0.00041 0.0004 0.00038 0.00041 0.00039 0.00038 0.00041 0.00039 0.00033 0.00042 0.00039 0.00039 0.0004 0.0004 0.00041 0.00042 0.0004 0.00038 0.00041 0.0004 0.0004 0.0004 0.00038 0.00043 0.0004 0.0004 0.00041 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.00041 0.0004 0.0004 0.00041 Random accuracy
RACCU 0.0004 0.00041 0.0004 0.00042 0.0004 0.00041 0.0004 0.0004 0.00042 0.0004 0.00041 0.0004 0.00038 0.00041 0.00039 0.00038 0.00041 0.00039 0.00033 0.00042 0.00039 0.00039 0.0004 0.0004 0.00041 0.00042 0.0004 0.00039 0.00041 0.0004 0.0004 0.0004 0.00038 0.00043 0.0004 0.0004 0.00041 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.00041 0.0004 0.0004 0.00041 0.0004 0.0004 0.00041 Random accuracy unbiased
TN 39182 39115 39175 39141 39139 39151 39146 39131 39111 39139 39134 39135 39124 39162 39159 39142 39176 39199 39041 39133 39162 39180 39195 39197 39163 39160 39189 39187 39150 39197 39196 39198 39193 39145 39197 39195 39174 39152 39199 39193 39164 39184 39182 39184 39185 39183 39158 39194 39171 39165 True negative/correct rejection
TNR 0.99954 0.99783 0.99936 0.99849 0.99844 0.99875 0.99862 0.99824 0.99773 0.99844 0.99832 0.99834 0.99806 0.99903 0.99895 0.99852 0.99939 0.99997 0.99594 0.99829 0.99903 0.99949 0.99987 0.99992 0.99906 0.99898 0.99972 0.99967 0.99872 0.99992 0.9999 0.99995 0.99982 0.9986 0.99992 0.99987 0.99934 0.99878 0.99997 0.99982 0.99908 0.99959 0.99954 0.99959 0.99962 0.99957 0.99893 0.99985 0.99926 0.99911 Specificity or true negative rate
TON 39197 39179 39201 39169 39193 39184 39195 39210 39157 39208 39184 39192 39249 39183 39225 39249 39189 39219 39336 39164 39211 39215 39200 39197 39189 39163 39193 39230 39172 39208 39203 39201 39248 39149 39199 39203 39187 39206 39204 39204 39204 39196 39201 39190 39197 39191 39175 39206 39204 39171 Test outcome negative
TOP 803 821 799 831 807 816 805 790 843 792 816 808 751 817 775 751 811 781 664 836 789 785 800 803 811 837 807 770 828 792 797 799 752 851 801 797 813 794 796 796 796 804 799 810 803 809 825 794 796 829 Test outcome positive
TP 785 736 774 772 746 767 751 721 754 731 750 743 675 779 734 693 787 780 505 769 751 765 795 800 774 797 796 757 778 789 793 797 745 796 798 792 787 746 795 789 760 788 781 794 788 792 783 788 767 794 True positive/hit
TPR 0.98125 0.92 0.9675 0.965 0.9325 0.95875 0.93875 0.90125 0.9425 0.91375 0.9375 0.92875 0.84375 0.97375 0.9175 0.86625 0.98375 0.975 0.63125 0.96125 0.93875 0.95625 0.99375 1.0 0.9675 0.99625 0.995 0.94625 0.9725 0.98625 0.99125 0.99625 0.93125 0.995 0.9975 0.99 0.98375 0.9325 0.99375 0.98625 0.95 0.985 0.97625 0.9925 0.985 0.99 0.97875 0.985 0.95875 0.9925 Sensitivity, recall, hit rate, or true positive rate
Y 0.98079 0.91783 0.96686 0.96349 0.93094 0.9575 0.93737 0.89949 0.94023 0.91219 0.93582 0.92709 0.84181 0.97278 0.91645 0.86477 0.98314 0.97497 0.62719 0.95954 0.93778 0.95574 0.99362 0.99992 0.96656 0.99523 0.99472 0.94592 0.97122 0.98617 0.99115 0.9962 0.93107 0.9936 0.99742 0.98987 0.98309 0.93128 0.99372 0.98607 0.94908 0.98459 0.97579 0.99209 0.98462 0.98957 0.97768 0.98485 0.95801 0.99161 Youden index
dInd 0.01876 0.08003 0.03251 0.03503 0.06752 0.04127 0.06127 0.09877 0.05754 0.08626 0.06252 0.07127 0.15626 0.02627 0.08251 0.13376 0.01626 0.025 0.36877 0.03879 0.06126 0.04375 0.00625 8e-05 0.03251 0.00389 0.00501 0.05375 0.02753 0.01375 0.00875 0.00375 0.06875 0.00519 0.0025 0.01 0.01626 0.06751 0.00625 0.01375 0.05001 0.01501 0.02375 0.00751 0.015 0.01001 0.02128 0.015 0.04126 0.00755 Distance index
sInd 0.98674 0.94341 0.97701 0.97523 0.95226 0.97082 0.95668 0.93016 0.95931 0.939 0.95579 0.94961 0.88951 0.98143 0.94166 0.90542 0.9885 0.98232 0.73924 0.97257 0.95668 0.96906 0.99558 0.99995 0.97701 0.99725 0.99646 0.96199 0.98053 0.99028 0.99381 0.99735 0.95139 0.99633 0.99823 0.99293 0.9885 0.95226 0.99558 0.99028 0.96464 0.98939 0.9832 0.99469 0.98939 0.99292 0.98495 0.98939 0.97083 0.99466 Similarity index

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