Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   19  0.3516  0.0024  0.0824  0.2445  0.0627  0.12
Beliavsky 2004   50  0.2739  0.0044  0.0548  0.0555  0.0548  0.05
BenOr 1989   35  0.3138  0.0035  0.0555  0.0559  0.0553  0.05
Biret 1990   23  0.3453  0.0031  0.0531  0.1058  0.0445  0.06
Blet 2003   52  0.2556  0.0057  0.0733  0.0748  0.0641  0.06
Block 1995   34  0.3126  0.0052  0.0554  0.0556  0.0464  0.04
Brailowsky 1960   62  0.1823  0.0062  0.0463  0.0461  0.0457  0.04
Chiu 1999   26  0.3317  0.0027  0.0627  0.1732  0.1024  0.13
Clidat 1994   18  0.3514  0.0122  0.0719  0.3235  0.0817  0.16
Cohen 1997   48  0.2845  0.0043  0.0638  0.0619  0.3621  0.15
Coop 1987   6  0.425  0.035  0.245  0.6537  0.0812  0.23
Cortot 1951   41  0.3057  0.0039  0.0552  0.0515  0.5118  0.16
Czerny 1949   29  0.3242  0.0019  0.0921  0.2743  0.0626  0.13
Czerny 1949b   40  0.3030  0.0026  0.0725  0.1851  0.0528  0.09
Ezaki 2006   44  0.2912  0.0129  0.0530  0.1153  0.0631  0.08
Falvay 1989   14  0.377  0.0220  0.0823  0.2538  0.0725  0.13
Ferenczy 1958   47  0.2862  0.0053  0.0460  0.0456  0.0562  0.04
Fiorentino 1962   38  0.3160  0.0040  0.0640  0.0647  0.0837  0.07
Fliere 1977   49  0.2766  0.0048  0.0553  0.0560  0.0456  0.04
Fou 1978   61  0.2143  0.0061  0.0556  0.0562  0.0359  0.04
Francois 1956   21  0.3534  0.0018  0.0717  0.3423  0.318  0.32
Hatto 1997   7  0.4029  0.009  0.167  0.5922  0.404  0.49
Horowitz 1971   30  0.3213  0.0133  0.0636  0.0654  0.0452  0.05
Horowitz 1985   20  0.3546  0.0014  0.1015  0.3843  0.0815  0.17
Indjic 2001   8  0.409  0.018  0.136  0.5923  0.423  0.50
Kapell 1951   60  0.2265  0.0059  0.0461  0.0454  0.0460  0.04
Kiepura 1999   32  0.3115  0.0141  0.0550  0.0563  0.0355  0.04
Kilenyi 1937   45  0.2840  0.0036  0.0549  0.0547  0.0742  0.06
Kissin 1993   3  0.463  0.083  0.433  0.6716  0.571  0.62
Kitain 1937   55  0.2511  0.0123  0.0820  0.2722  0.377  0.32
Kushner 1990   31  0.3149  0.0042  0.0543  0.0558  0.0461  0.04
Levy 1951   33  0.3118  0.0051  0.0558  0.0548  0.0647  0.05
Luisada 1990   58  0.2351  0.0060  0.0546  0.0562  0.0363  0.04
Lushtak 2004   12  0.3836  0.0010  0.1510  0.5328  0.179  0.30
Lympany 1968   22  0.3420  0.0038  0.0545  0.0546  0.0546  0.05
Magaloff 1977   36  0.3144  0.0046  0.0637  0.0635  0.0643  0.06
Magaloff 1977b   39  0.3159  0.0047  0.0639  0.0632  0.1133  0.08
Magin 1975   54  0.2547  0.0049  0.0459  0.0462  0.0366  0.03
Milkina 1970   2  0.482  0.262  0.422  0.7620  0.402  0.55
Mohovich 1999   59  0.238  0.0125  0.0729  0.1240  0.0634  0.08
Nadelmann 1956   16  0.3641  0.0016  0.0913  0.4652  0.0423  0.14
Ohlsson 1999   24  0.3410  0.0117  0.1018  0.3328  0.1613  0.23
Olejniczac 1990   43  0.2955  0.0045  0.0635  0.0647  0.0744  0.06
Olejniczak 1991   53  0.2564  0.0056  0.0544  0.0535  0.1036  0.07
Osinska 1989   9  0.4050  0.0013  0.1412  0.4757  0.0422  0.14
Paderewski 1912   37  0.3133  0.0021  0.0822  0.2633  0.0920  0.15
Perahia 1994   13  0.3825  0.0015  0.0814  0.4631  0.1511  0.26
Perlemuter 1986   4  0.426  0.024  0.264  0.6625  0.226  0.38
Poblocka 1999   46  0.2828  0.0054  0.0547  0.0560  0.0458  0.04
Rangell 2001   57  0.2335  0.0058  0.0551  0.0549  0.0554  0.05
Risler 1920   42  0.3027  0.0034  0.0541  0.0539  0.0740  0.06
Rosen 1989   63  0.1619  0.0063  0.0462  0.0454  0.0650  0.05
Rubinstein 1939   5  0.4232  0.007  0.129  0.5533  0.1210  0.26
Rubinstein 1952   17  0.3637  0.0028  0.0726  0.1760  0.0338  0.07
Rubinstein 1966   10  0.4048  0.0011  0.2211  0.5355  0.0516  0.16
Rummel 1943   56  0.2424  0.0050  0.0542  0.0552  0.0465  0.04
Shebanova 2002   15  0.3631  0.0012  0.1316  0.3849  0.0619  0.15
Smith 1975   11  0.384  0.036  0.198  0.5721  0.255  0.38
Szpilman 1948   25  0.3322  0.0037  0.0557  0.0535  0.1035  0.07
Uninsky 1971   51  0.2652  0.0055  0.0634  0.0653  0.0549  0.05
Wasowski 1980   27  0.3254  0.0030  0.0628  0.1263  0.0339  0.06
Weissenberg 1971   28  0.3221  0.0032  0.0532  0.0935  0.0929  0.09
Average   1  0.521  0.411  0.401  0.8358  0.0514  0.20
Random 1    64  0.0361  0.0065  0.0265  0.029  0.3730  0.09
Random 2   66  0.0263  0.0064  0.0264  0.0220  0.2932  0.08
Random 3   65  0.0358  0.0066  0.0166  0.0114  0.2851  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).