Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.3440  0.0058  0.0458  0.0431  0.1055  0.06
Ashkenazy 1981   14  0.4411  0.0137  0.0734  0.0721  0.3433  0.15
Beliavsky 2004   48  0.379  0.0150  0.0553  0.0519  0.3439  0.13
BenOr 1989   2  0.562  0.062  0.432  0.807  0.681  0.74
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   47  0.3757  0.0043  0.0551  0.0534  0.0852  0.06
Block 1995   21  0.4330  0.0034  0.0646  0.0619  0.3235  0.14
Brailowsky 1960   20  0.436  0.0120  0.0714  0.3730  0.2022  0.27
Chiu 1999   34  0.4049  0.0044  0.0554  0.0522  0.3337  0.13
Clidat 1994   9  0.4633  0.0016  0.0916  0.3421  0.3219  0.33
Cohen 1997   62  0.2556  0.0062  0.0642  0.0632  0.1148  0.08
Coop 1987   6  0.4926  0.007  0.246  0.5628  0.338  0.43
Cortot 1951   63  0.2341  0.0063  0.0550  0.0544  0.0661  0.05
Czerny 1949   59  0.3162  0.0049  0.0549  0.0542  0.0754  0.06
Czerny 1949b   58  0.3163  0.0052  0.0556  0.0540  0.0658  0.05
Ezaki 2006   7  0.488  0.018  0.207  0.5119  0.516  0.51
Falvay 1989   40  0.3959  0.0032  0.0632  0.1144  0.0647  0.08
Ferenczy 1958   23  0.4244  0.0017  0.0812  0.3821  0.489  0.43
Fiorentino 1962   36  0.3946  0.0039  0.0738  0.0721  0.3731  0.16
Fliere 1977   35  0.3934  0.0036  0.0644  0.0627  0.2540  0.12
Fou 1978   39  0.3914  0.0035  0.0641  0.0627  0.3732  0.15
Francois 1956   60  0.3039  0.0059  0.0363  0.0338  0.0663  0.04
Hatto 1997   54  0.3464  0.0056  0.0640  0.0647  0.0653  0.06
Horowitz 1971   11  0.4528  0.0011  0.0910  0.4115  0.4610  0.43
Horowitz 1985   33  0.4038  0.0029  0.0929  0.1824  0.2425  0.21
Indjic 2001   55  0.3460  0.0055  0.0461  0.0446  0.0759  0.05
Kapell 1951   32  0.4027  0.0026  0.0721  0.2417  0.4816  0.34
Kiepura 1999   30  0.4150  0.0033  0.0547  0.0528  0.1645  0.09
Kilenyi 1937   12  0.4515  0.006  0.215  0.5715  0.603  0.58
Kissin 1993   28  0.4119  0.0047  0.0737  0.0734  0.1146  0.09
Kitain 1937   61  0.2654  0.0061  0.0552  0.0534  0.0951  0.07
Kushner 1990   18  0.433  0.0213  0.0823  0.2230  0.2026  0.21
Levy 1951   44  0.3921  0.0046  0.0739  0.0728  0.2438  0.13
Luisada 1990   51  0.3537  0.0053  0.0645  0.0630  0.1844  0.10
Lushtak 2004   10  0.4518  0.0015  0.0717  0.3319  0.3221  0.32
Lympany 1968   19  0.4331  0.0023  0.0726  0.2013  0.5120  0.32
Magaloff 1977   38  0.3948  0.0045  0.0548  0.0517  0.3734  0.14
Magaloff 1977b   42  0.3947  0.0041  0.0557  0.0510  0.3936  0.14
Magin 1975   27  0.4132  0.0012  0.0813  0.3726  0.3415  0.35
Milkina 1970   5  0.504  0.025  0.249  0.4524  0.3013  0.37
Mohovich 1999   57  0.3236  0.0060  0.0362  0.0357  0.0562  0.04
Nadelmann 1956   15  0.4416  0.0024  0.0922  0.2344  0.0642  0.12
Ohlsson 1999   25  0.4245  0.0018  0.0818  0.3115  0.3517  0.33
Olejniczac 1990   31  0.4035  0.0040  0.0933  0.0926  0.3230  0.17
Olejniczak 1991   22  0.4329  0.0030  0.1025  0.2220  0.3123  0.26
Osinska 1989   4  0.527  0.014  0.224  0.6719  0.494  0.57
Paderewski 1912   41  0.3913  0.0010  0.0930  0.1610  0.4024  0.25
Perahia 1994   16  0.4422  0.0019  0.0724  0.2230  0.1628  0.19
Perlemuter 1986   26  0.4142  0.0038  0.0736  0.0733  0.0850  0.07
Poblocka 1999   43  0.3924  0.0028  0.0728  0.1830  0.1929  0.18
Rangell 2001   56  0.3255  0.0057  0.0460  0.0439  0.0660  0.05
Risler 1920   45  0.3820  0.0025  0.0719  0.273  0.5912  0.40
Rosen 1989   37  0.3910  0.0127  0.0820  0.2423  0.5614  0.37
Rubinstein 1939   24  0.4225  0.0014  0.0727  0.1934  0.0841  0.12
Rubinstein 1952   8  0.4812  0.019  0.178  0.4923  0.417  0.45
Rubinstein 1966   3  0.545  0.013  0.383  0.7312  0.522  0.62
Rummel 1943   50  0.3561  0.0048  0.0735  0.0728  0.1743  0.11
Shebanova 2002   13  0.4423  0.0021  0.0711  0.4027  0.2718  0.33
Smith 1975   52  0.3551  0.0042  0.0555  0.0536  0.0657  0.05
Szpilman 1948   49  0.3643  0.0051  0.0459  0.0433  0.1149  0.07
Uninsky 1971   17  0.4317  0.0022  0.0715  0.3517  0.4911  0.41
Wasowski 1980   46  0.3853  0.0054  0.0643  0.0656  0.0456  0.05
Weissenberg 1971   29  0.4152  0.0031  0.0631  0.1121  0.3327  0.19
Average   1  0.671  0.761  0.751  0.8917  0.355  0.56
Random 1    64  -0.0258  0.0064  0.0364  0.0342  0.0464  0.03
Random 2   66  -0.1265  0.0066  0.0166  0.0166  0.0166  0.01
Random 3   65  -0.0466  0.0065  0.0365  0.0347  0.0465  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).