Kilenyi 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.6342  0.0037  0.0742  0.0716  0.4239  0.17
Ashkenazy 1981   25  0.745  0.0224  0.1525  0.4412  0.4526  0.44
Beliavsky 2004   57  0.5957  0.0057  0.0746  0.0738  0.0754  0.07
BenOr 1989   8  0.8011  0.0111  0.204  0.7010  0.596  0.64
Biret 1990   51  0.6244  0.0044  0.0745  0.0717  0.4140  0.17
Blet 2003   28  0.728  0.0125  0.1122  0.464  0.6219  0.53
Block 1995   38  0.6848  0.0040  0.0651  0.0622  0.3943  0.15
Brailowsky 1960   56  0.6018  0.0056  0.0558  0.0520  0.4245  0.14
Chiu 1999   11  0.7962  0.0012  0.1718  0.5411  0.5318  0.53
Clidat 1994   34  0.6949  0.0034  0.0836  0.0825  0.2346  0.14
Cohen 1997   63  0.3932  0.0063  0.0654  0.0655  0.0462  0.05
Coop 1987   2  0.863  0.133  0.572  0.744  0.691  0.71
Cortot 1951   60  0.4765  0.0062  0.0463  0.0456  0.0466  0.04
Czerny 1949   26  0.7336  0.006  0.1219  0.509  0.5621  0.53
Czerny 1949b   18  0.7610  0.0113  0.1115  0.577  0.677  0.62
Ezaki 2006   3  0.862  0.262  0.483  0.7210  0.652  0.68
Falvay 1989   9  0.8055  0.009  0.1512  0.5913  0.5515  0.57
Ferenczy 1958   52  0.6241  0.0046  0.0462  0.0413  0.6141  0.16
Fiorentino 1962   15  0.7834  0.0020  0.1523  0.4610  0.6022  0.53
Fliere 1977   14  0.7838  0.0016  0.1814  0.587  0.609  0.59
Fou 1978   12  0.7839  0.0017  0.2110  0.6016  0.5912  0.59
Francois 1956   43  0.6624  0.0053  0.0740  0.0721  0.3144  0.15
Hatto 1997   55  0.6051  0.0050  0.0647  0.0628  0.1751  0.10
Horowitz 1971   49  0.6326  0.0047  0.0559  0.0525  0.3448  0.13
Horowitz 1985   59  0.506  0.0258  0.0557  0.0534  0.1053  0.07
Indjic 2001   54  0.6053  0.0051  0.0652  0.0630  0.1652  0.10
Kapell 1951   5  0.8143  0.007  0.095  0.699  0.673  0.68
Kiepura 1999   41  0.6735  0.0043  0.0834  0.0818  0.4634  0.19
Kilenyi 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   6  0.8033  0.0010  0.148  0.6411  0.5213  0.58
Kitain 1937   62  0.4121  0.0061  0.0560  0.0547  0.0563  0.05
Kushner 1990   30  0.7150  0.0033  0.1433  0.1423  0.2237  0.18
Levy 1951   47  0.6422  0.0049  0.0649  0.0615  0.4738  0.17
Luisada 1990   23  0.7429  0.0029  0.1328  0.2911  0.5227  0.39
Lushtak 2004   37  0.6852  0.0045  0.0835  0.0856  0.0559  0.06
Lympany 1968   39  0.6817  0.0039  0.0648  0.0620  0.3842  0.15
Magaloff 1977   33  0.6961  0.0027  0.1129  0.249  0.5129  0.35
Magaloff 1977b   36  0.6866  0.0035  0.0837  0.0814  0.4535  0.19
Magin 1975   4  0.8220  0.004  0.217  0.6615  0.558  0.60
Milkina 1970   45  0.6530  0.0048  0.0653  0.0633  0.0757  0.06
Mohovich 1999   35  0.6814  0.0038  0.0838  0.0818  0.4536  0.19
Nadelmann 1956   40  0.6812  0.0132  0.0932  0.1715  0.3031  0.23
Ohlsson 1999   22  0.7515  0.0023  0.1921  0.4810  0.5623  0.52
Olejniczac 1990   13  0.789  0.0119  0.1916  0.5410  0.6016  0.57
Olejniczak 1991   19  0.7658  0.0022  0.1724  0.4610  0.5724  0.51
Osinska 1989   16  0.7713  0.0015  0.146  0.6820  0.4814  0.57
Paderewski 1912   44  0.6646  0.0041  0.0739  0.0718  0.2947  0.14
Perahia 1994   61  0.4631  0.0060  0.0556  0.0545  0.0560  0.05
Perlemuter 1986   31  0.7040  0.0030  0.1031  0.1921  0.2532  0.22
Poblocka 1999   7  0.804  0.045  0.1913  0.5913  0.5910  0.59
Rangell 2001   24  0.7460  0.0026  0.1127  0.3020  0.4528  0.37
Risler 1920   20  0.7519  0.0021  0.1520  0.496  0.5817  0.53
Rosen 1989   29  0.7223  0.0036  0.0743  0.0710  0.5733  0.20
Rubinstein 1939   58  0.5059  0.0059  0.0461  0.0460  0.0464  0.04
Rubinstein 1952   32  0.7016  0.0031  0.0830  0.2318  0.4430  0.32
Rubinstein 1966   50  0.6327  0.0052  0.0744  0.0748  0.0558  0.06
Rummel 1943   53  0.6128  0.0055  0.0555  0.0519  0.2750  0.12
Shebanova 2002   17  0.7745  0.0014  0.1117  0.5414  0.5320  0.53
Smith 1975   27  0.7337  0.0028  0.1126  0.395  0.5725  0.47
Szpilman 1948   21  0.757  0.0118  0.199  0.634  0.715  0.67
Uninsky 1971   42  0.6763  0.0042  0.0650  0.0636  0.0855  0.07
Wasowski 1980   46  0.6425  0.0054  0.0741  0.0727  0.1949  0.12
Weissenberg 1971   10  0.8054  0.008  0.1111  0.607  0.5811  0.59
Average   1  0.861  0.401  0.401  0.8410  0.554  0.68
Random 1    65  -0.0347  0.0065  0.0265  0.0228  0.1856  0.06
Random 2   64  0.0364  0.0064  0.0364  0.0335  0.0665  0.04
Random 3   66  -0.0556  0.0066  0.0166  0.0119  0.2861  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).