Luisada 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.7652  0.0050  0.0551  0.0531  0.1747  0.09
Ashkenazy 1981   42  0.8319  0.0042  0.0553  0.0541  0.0660  0.05
Beliavsky 2004   29  0.856  0.0231  0.0929  0.213  0.5615  0.34
BenOr 1989   9  0.8916  0.0013  0.0912  0.4226  0.2819  0.34
Biret 1990   51  0.7742  0.0049  0.0556  0.0521  0.2740  0.12
Blet 2003   27  0.8645  0.0018  0.1113  0.4110  0.3312  0.37
Block 1995   46  0.8134  0.0045  0.0555  0.0524  0.3235  0.13
Brailowsky 1960   49  0.7846  0.0054  0.0639  0.0645  0.0654  0.06
Chiu 1999   39  0.8322  0.0025  0.0726  0.2526  0.2226  0.23
Clidat 1994   25  0.8651  0.0030  0.0928  0.2227  0.1430  0.18
Cohen 1997   62  0.5457  0.0063  0.0644  0.0654  0.0461  0.05
Coop 1987   17  0.8830  0.0010  0.1511  0.4525  0.2516  0.34
Cortot 1951   52  0.7764  0.0057  0.0458  0.0439  0.0564  0.04
Czerny 1949   23  0.869  0.014  0.1910  0.4516  0.428  0.43
Czerny 1949b   8  0.895  0.035  0.304  0.5611  0.513  0.53
Ezaki 2006   10  0.8943  0.0015  0.089  0.4625  0.1821  0.29
Falvay 1989   30  0.8517  0.0028  0.0923  0.2736  0.0931  0.16
Ferenczy 1958   58  0.7066  0.0053  0.0554  0.0543  0.0659  0.05
Fiorentino 1962   3  0.9021  0.007  0.166  0.538  0.534  0.53
Fliere 1977   7  0.8912  0.0111  0.0815  0.3932  0.1227  0.22
Fou 1978   21  0.8744  0.0029  0.0825  0.2631  0.1329  0.18
Francois 1956   44  0.8350  0.0046  0.0547  0.0521  0.2842  0.12
Hatto 1997   55  0.7465  0.0051  0.0640  0.0641  0.0558  0.05
Horowitz 1971   45  0.8215  0.0043  0.0646  0.0615  0.3732  0.15
Horowitz 1985   60  0.6918  0.0060  0.0361  0.0323  0.3244  0.10
Indjic 2001   56  0.7454  0.0052  0.0643  0.0634  0.0756  0.06
Kapell 1951   20  0.8729  0.0022  0.0721  0.3226  0.1924  0.25
Kiepura 1999   24  0.8638  0.0034  0.0834  0.089  0.4828  0.20
Kilenyi 1937   15  0.8841  0.009  0.138  0.4723  0.379  0.42
Kissin 1993   12  0.894  0.043  0.265  0.5525  0.2314  0.36
Kitain 1937   63  0.4655  0.0061  0.0363  0.0328  0.1852  0.07
Kushner 1990   36  0.8426  0.0035  0.0736  0.0727  0.1545  0.10
Levy 1951   57  0.7327  0.0058  0.0360  0.0334  0.0662  0.04
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   18  0.8756  0.0032  0.0931  0.1642  0.0646  0.10
Lympany 1968   43  0.8360  0.0041  0.0641  0.0637  0.0753  0.06
Magaloff 1977   13  0.8936  0.0019  0.0920  0.3511  0.4311  0.39
Magaloff 1977b   16  0.8835  0.0020  0.0722  0.3113  0.3818  0.34
Magin 1975   19  0.878  0.0124  0.0730  0.1728  0.3325  0.24
Milkina 1970   41  0.8320  0.0044  0.0642  0.0629  0.1249  0.08
Mohovich 1999   14  0.8853  0.0021  0.1016  0.3813  0.4410  0.41
Nadelmann 1956   47  0.8031  0.0048  0.0549  0.0525  0.2443  0.11
Ohlsson 1999   38  0.8448  0.0039  0.0552  0.0524  0.3038  0.12
Olejniczac 1990   4  0.9028  0.008  0.157  0.528  0.515  0.51
Olejniczak 1991   11  0.8939  0.0012  0.0819  0.3622  0.3020  0.33
Osinska 1989   2  0.9014  0.016  0.193  0.6017  0.327  0.44
Paderewski 1912   35  0.8459  0.0038  0.0737  0.0723  0.2634  0.13
Perahia 1994   61  0.637  0.0262  0.0557  0.0533  0.0855  0.06
Perlemuter 1986   26  0.8649  0.0014  0.0818  0.3616  0.3317  0.34
Poblocka 1999   5  0.9033  0.0016  0.0914  0.4021  0.3313  0.36
Rangell 2001   28  0.8611  0.0127  0.0927  0.2325  0.3222  0.27
Risler 1920   31  0.8510  0.0117  0.0917  0.375  0.586  0.46
Rosen 1989   37  0.8440  0.0040  0.0738  0.0722  0.2636  0.13
Rubinstein 1939   59  0.7037  0.0055  0.0362  0.0332  0.1057  0.05
Rubinstein 1952   40  0.8313  0.0137  0.0645  0.0625  0.2441  0.12
Rubinstein 1966   50  0.783  0.0547  0.0548  0.0518  0.2939  0.12
Rummel 1943   54  0.7525  0.0056  0.0364  0.0334  0.0663  0.04
Shebanova 2002   33  0.8523  0.0036  0.1033  0.1037  0.0750  0.08
Smith 1975   22  0.8662  0.0033  0.0835  0.0830  0.1837  0.12
Szpilman 1948   6  0.892  0.142  0.352  0.634  0.631  0.63
Uninsky 1971   32  0.8524  0.0023  0.0732  0.1328  0.1433  0.13
Wasowski 1980   48  0.7932  0.0059  0.0550  0.0532  0.1248  0.08
Weissenberg 1971   34  0.8458  0.0026  0.0724  0.2623  0.2523  0.25
Average   1  0.941  0.561  0.551  0.7817  0.432  0.58
Random 1    65  -0.1161  0.0065  0.0265  0.0254  0.0366  0.02
Random 2   64  0.0463  0.0064  0.0459  0.0428  0.1351  0.07
Random 3   66  -0.1647  0.0066  0.0166  0.0130  0.1065  0.03

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).