Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.6839  0.0025  0.0722  0.2310  0.5121  0.34
Ashkenazy 1981   16  0.749  0.0120  0.1018  0.3516  0.3620  0.35
Beliavsky 2004   54  0.6348  0.0027  0.0631  0.1217  0.3826  0.21
BenOr 1989   3  0.788  0.017  0.193  0.727  0.645  0.68
Biret 1990   33  0.6910  0.0140  0.0643  0.0618  0.4045  0.15
Blet 2003   26  0.7015  0.0035  0.0642  0.0614  0.4538  0.16
Block 1995   58  0.6258  0.0058  0.0646  0.0642  0.0660  0.06
Brailowsky 1960   59  0.6254  0.0060  0.0459  0.0423  0.3649  0.12
Chiu 1999   35  0.687  0.0121  0.0826  0.1733  0.1339  0.15
Clidat 1994   19  0.7241  0.0026  0.0521  0.2428  0.1628  0.20
Cohen 1997   62  0.5442  0.0061  0.0460  0.0410  0.5744  0.15
Coop 1987   14  0.7414  0.009  0.157  0.6227  0.2915  0.42
Cortot 1951   61  0.5646  0.0063  0.0647  0.0620  0.3646  0.15
Czerny 1949   43  0.6756  0.0033  0.0739  0.0731  0.1852  0.11
Czerny 1949b   36  0.6843  0.0032  0.0632  0.1127  0.1947  0.14
Ezaki 2006   12  0.7534  0.0014  0.155  0.6815  0.588  0.63
Falvay 1989   41  0.6723  0.0039  0.0736  0.0738  0.0958  0.08
Ferenczy 1958   56  0.6359  0.0051  0.0553  0.0514  0.6133  0.17
Fiorentino 1962   31  0.6952  0.0041  0.0644  0.0635  0.1159  0.08
Fliere 1977   13  0.7444  0.0016  0.2713  0.5312  0.5412  0.53
Fou 1978   8  0.754  0.026  0.154  0.725  0.713  0.71
Francois 1956   46  0.6626  0.0044  0.0551  0.057  0.5536  0.17
Hatto 1997   44  0.6753  0.0045  0.0548  0.0514  0.4340  0.15
Horowitz 1971   42  0.6762  0.0047  0.0737  0.0712  0.4632  0.18
Horowitz 1985   60  0.5863  0.0059  0.0364  0.0313  0.4748  0.12
Indjic 2001   45  0.6651  0.0046  0.0549  0.0514  0.4343  0.15
Kapell 1951   6  0.763  0.0210  0.1510  0.5814  0.5411  0.56
Kiepura 1999   53  0.6437  0.0057  0.0550  0.0543  0.0661  0.05
Kilenyi 1937   21  0.7125  0.0024  0.0723  0.2233  0.1431  0.18
Kissin 1993   11  0.7513  0.0012  0.1916  0.4827  0.2619  0.35
Kitain 1937   63  0.4764  0.0062  0.0556  0.057  0.5534  0.17
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Levy 1951   49  0.6517  0.0050  0.0457  0.0420  0.3951  0.12
Luisada 1990   37  0.6824  0.0043  0.0740  0.0731  0.1356  0.10
Lushtak 2004   18  0.7247  0.0019  0.0917  0.3514  0.4716  0.41
Lympany 1968   28  0.7022  0.0028  0.0527  0.1611  0.4923  0.28
Magaloff 1977   48  0.6521  0.0055  0.0462  0.0443  0.0762  0.05
Magaloff 1977b   50  0.6550  0.0056  0.0555  0.0550  0.0664  0.05
Magin 1975   27  0.7031  0.0018  0.1020  0.2632  0.1627  0.20
Milkina 1970   10  0.7519  0.0013  0.1812  0.536  0.669  0.59
Mohovich 1999   9  0.755  0.018  0.169  0.593  0.776  0.67
Nadelmann 1956   4  0.7740  0.005  0.1611  0.573  0.6110  0.59
Ohlsson 1999   20  0.7227  0.0017  0.1019  0.3416  0.4317  0.38
Olejniczac 1990   25  0.7118  0.0038  0.0934  0.0939  0.0957  0.09
Olejniczak 1991   22  0.7145  0.0030  0.0530  0.1327  0.2037  0.16
Osinska 1989   2  0.842  0.092  0.672  0.864  0.731  0.79
Paderewski 1912   51  0.6536  0.0052  0.0554  0.0542  0.0663  0.05
Perahia 1994   52  0.6449  0.0049  0.0461  0.0411  0.5542  0.15
Perlemuter 1986   17  0.7312  0.003  0.1314  0.519  0.4914  0.50
Poblocka 1999   23  0.7129  0.0031  0.0828  0.1522  0.4124  0.25
Rangell 2001   32  0.6935  0.0034  0.0741  0.0724  0.3935  0.17
Risler 1920   40  0.6765  0.0042  0.0552  0.0529  0.3150  0.12
Rosen 1989   47  0.6638  0.0053  0.0738  0.0714  0.4930  0.19
Rubinstein 1939   34  0.6828  0.0037  0.1033  0.107  0.5925  0.24
Rubinstein 1952   5  0.7611  0.0111  0.178  0.594  0.707  0.64
Rubinstein 1966   7  0.766  0.014  0.176  0.656  0.734  0.69
Rummel 1943   57  0.6260  0.0054  0.0645  0.0611  0.3641  0.15
Shebanova 2002   15  0.7420  0.0015  0.2015  0.5115  0.5213  0.51
Smith 1975   39  0.6757  0.0036  0.0735  0.0729  0.1554  0.10
Szpilman 1948   24  0.7116  0.0023  0.0624  0.2217  0.5618  0.35
Uninsky 1971   55  0.6330  0.0048  0.0458  0.0462  0.0465  0.04
Wasowski 1980   30  0.6932  0.0029  0.0629  0.144  0.7122  0.32
Weissenberg 1971   29  0.7033  0.0022  0.0825  0.1729  0.2229  0.19
Average   1  0.851  0.761  0.751  0.929  0.562  0.72
Random 1    65  0.0055  0.0065  0.0265  0.021  0.5455  0.10
Random 2   64  0.0766  0.0064  0.0363  0.0312  0.4153  0.11
Random 3   66  -0.0261  0.0066  0.0166  0.0130  0.1666  0.04

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).