Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.7344  0.0041  0.0842  0.083  0.6940  0.23
Ashkenazy 1981   4  0.822  0.016  0.144  0.712  0.794  0.75
Beliavsky 2004   48  0.7116  0.0042  0.0843  0.084  0.5843  0.22
BenOr 1989   2  0.849  0.002  0.283  0.792  0.823  0.80
Biret 1990   16  0.7914  0.0015  0.1111  0.552  0.8110  0.67
Blet 2003   40  0.7346  0.0040  0.0940  0.097  0.6338  0.24
Block 1995   38  0.7433  0.0045  0.0655  0.0617  0.4954  0.17
Brailowsky 1960   52  0.6757  0.0055  0.0458  0.047  0.5858  0.15
Chiu 1999   35  0.7548  0.0033  0.0936  0.098  0.6039  0.23
Clidat 1994   37  0.7435  0.0039  0.1134  0.118  0.5536  0.25
Cohen 1997   60  0.6351  0.0061  0.0459  0.044  0.7355  0.17
Coop 1987   6  0.8117  0.007  0.185  0.656  0.709  0.67
Cortot 1951   50  0.7032  0.0054  0.0460  0.044  0.6456  0.16
Czerny 1949   21  0.7939  0.004  0.187  0.603  0.777  0.68
Czerny 1949b   30  0.7641  0.0027  0.1127  0.343  0.7326  0.50
Ezaki 2006   3  0.845  0.013  0.432  0.802  0.862  0.83
Falvay 1989   15  0.797  0.0029  0.1326  0.374  0.7824  0.54
Ferenczy 1958   57  0.6559  0.0057  0.0363  0.038  0.5460  0.13
Fiorentino 1962   20  0.7954  0.0024  0.1320  0.475  0.7521  0.59
Fliere 1977   24  0.7856  0.0028  0.1425  0.397  0.6425  0.50
Fou 1978   18  0.7918  0.0014  0.1413  0.533  0.7016  0.61
Francois 1956   61  0.6160  0.0062  0.0652  0.0610  0.5652  0.18
Hatto 1997   45  0.7255  0.0048  0.0748  0.0714  0.5150  0.19
Horowitz 1971   58  0.6453  0.0060  0.0656  0.0639  0.0664  0.06
Horowitz 1985   62  0.5952  0.0059  0.0462  0.047  0.5457  0.15
Indjic 2001   43  0.7361  0.0044  0.0749  0.0713  0.5151  0.19
Kapell 1951   10  0.8026  0.0016  0.1316  0.505  0.6623  0.57
Kiepura 1999   44  0.738  0.0050  0.0651  0.066  0.6148  0.19
Kilenyi 1937   33  0.7647  0.0025  0.1224  0.4313  0.5827  0.50
Kissin 1993   12  0.8038  0.0013  0.1412  0.555  0.6320  0.59
Kitain 1937   63  0.4745  0.0063  0.0654  0.0630  0.1762  0.10
Kushner 1990   29  0.7619  0.0032  0.1132  0.203  0.8131  0.40
Levy 1951   46  0.7213  0.0035  0.1135  0.116  0.6834  0.27
Luisada 1990   23  0.7836  0.0031  0.1131  0.232  0.6532  0.39
Lushtak 2004   32  0.766  0.0038  0.1133  0.112  0.7233  0.28
Lympany 1968   49  0.7030  0.0051  0.0938  0.099  0.5241  0.22
Magaloff 1977   17  0.7942  0.0022  0.0823  0.463  0.7717  0.60
Magaloff 1977b   19  0.7921  0.0023  0.1322  0.463  0.7719  0.60
Magin 1975   8  0.8110  0.0018  0.1115  0.513  0.7315  0.61
Milkina 1970   28  0.7734  0.0036  0.0937  0.093  0.7535  0.26
Mohovich 1999   25  0.7849  0.0026  0.1217  0.502  0.8112  0.64
Nadelmann 1956   34  0.7615  0.0021  0.0929  0.332  0.6829  0.47
Ohlsson 1999   42  0.7337  0.0043  0.0846  0.089  0.5346  0.21
Olejniczac 1990   13  0.8027  0.0019  0.1118  0.496  0.7318  0.60
Olejniczak 1991   9  0.8012  0.0010  0.1210  0.585  0.778  0.67
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1912   51  0.6958  0.0046  0.0653  0.067  0.4853  0.17
Perahia 1994   56  0.6640  0.0053  0.0845  0.085  0.6044  0.22
Perlemuter 1986   54  0.6729  0.0056  0.0557  0.0520  0.3759  0.14
Poblocka 1999   5  0.8220  0.005  0.166  0.635  0.735  0.68
Rangell 2001   14  0.7922  0.0020  0.1219  0.482  0.7122  0.58
Risler 1920   53  0.6763  0.0047  0.0844  0.0813  0.5247  0.20
Rosen 1989   47  0.7223  0.0049  0.0747  0.073  0.7045  0.22
Rubinstein 1939   55  0.6624  0.0052  0.0650  0.066  0.6149  0.19
Rubinstein 1952   22  0.794  0.0111  0.1214  0.523  0.7913  0.64
Rubinstein 1966   26  0.783  0.0117  0.1021  0.474  0.8314  0.62
Rummel 1943   59  0.6364  0.0058  0.0461  0.0429  0.2163  0.09
Shebanova 2002   27  0.7725  0.0030  0.1328  0.344  0.6828  0.48
Smith 1975   11  0.8028  0.0012  0.138  0.602  0.766  0.68
Szpilman 1948   39  0.7450  0.0034  0.0841  0.089  0.6242  0.22
Uninsky 1971   36  0.7531  0.009  0.1230  0.274  0.6130  0.41
Wasowski 1980   31  0.7643  0.0037  0.0939  0.095  0.6437  0.24
Weissenberg 1971   7  0.8111  0.008  0.229  0.583  0.7011  0.64
Average   1  0.911  0.921  0.901  0.951  0.791  0.87
Random 1    65  0.0065  0.0065  0.0364  0.0314  0.3161  0.10
Random 2   64  0.0162  0.0064  0.0365  0.0350  0.0365  0.03
Random 3   66  -0.0666  0.0066  0.0166  0.0164  0.0266  0.01

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).