Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.3374  0.0076  0.0284  0.0262  0.0484  0.03
Anderszewski 2003   25  0.5434  0.0015  0.1315  0.6714  0.5720  0.62
Ashkenazy 1981   65  0.3457  0.0079  0.0285  0.0289  0.0289  0.02
Bacha 2000   59  0.3980  0.0059  0.0749  0.0719  0.4046  0.17
Badura 1965   66  0.3481  0.0060  0.0758  0.0752  0.0662  0.06
Barbosa 1983   16  0.5923  0.0019  0.1717  0.6621  0.4827  0.56
Biret 1990   47  0.4437  0.0046  0.0748  0.0758  0.0564  0.06
Blet 2003   75  0.3168  0.0077  0.0375  0.0377  0.0383  0.03
Block 1995   74  0.3282  0.0069  0.0472  0.0451  0.0575  0.04
Blumental 1952   49  0.4330  0.0047  0.0660  0.0665  0.0567  0.05
Boshniakovich 1969   17  0.5826  0.0018  0.1718  0.668  0.5921  0.62
Brailowsky 1960   67  0.3452  0.0075  0.0381  0.0359  0.0669  0.04
Bunin 1987   41  0.4745  0.0048  0.0757  0.0717  0.3648  0.16
Bunin 1987b   46  0.4565  0.0051  0.0753  0.0725  0.3251  0.15
Chiu 1999   64  0.3569  0.0070  0.0565  0.0569  0.0470  0.04
Cohen 1997   72  0.3275  0.0073  0.0379  0.0347  0.0677  0.04
Cortot 1951   36  0.4815  0.0028  0.1333  0.441  0.7624  0.58
Csalog 1996   76  0.3158  0.0062  0.0562  0.0552  0.0566  0.05
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.751  0.441  0.431  0.893  0.851  0.87
Duchoud 2007   80  0.2976  0.0072  0.0373  0.0349  0.0674  0.04
Ezaki 2006   22  0.5642  0.0020  0.1426  0.5917  0.5326  0.56
Falvay 1989   42  0.4762  0.0045  0.0745  0.1363  0.0458  0.07
Farrell 1958   10  0.614  0.065  0.214  0.772  0.792  0.78
Ferenczy 1958   71  0.3283  0.0081  0.0380  0.0366  0.0572  0.04
Fliere 1977   38  0.4863  0.0035  0.0832  0.4452  0.0550  0.15
Fou 1978   44  0.4677  0.0036  0.0837  0.3536  0.2239  0.28
Francois 1956   50  0.4370  0.0052  0.0661  0.0621  0.3852  0.15
Friedman 1923   77  0.3046  0.0068  0.0470  0.0464  0.0580  0.04
Friedman 1923b   78  0.3059  0.0067  0.0564  0.0547  0.0763  0.06
Friedman 1930   82  0.2636  0.0080  0.0283  0.0285  0.0388  0.02
Garcia 2007   61  0.3853  0.0054  0.0659  0.0625  0.4247  0.16
Garcia 2007b   54  0.4160  0.0039  0.0641  0.1831  0.3241  0.24
Gierzod 1998   7  0.6318  0.0011  0.129  0.7016  0.5222  0.60
Gornostaeva 1994   26  0.5321  0.0033  0.1136  0.4024  0.4134  0.40
Groot 1988   73  0.3266  0.0066  0.0466  0.0464  0.0579  0.04
Harasiewicz 1955   4  0.679  0.014  0.295  0.7710  0.648  0.70
Hatto 1993   28  0.5225  0.0025  0.1722  0.6311  0.5823  0.60
Hatto 1997   30  0.5135  0.0026  0.2324  0.6112  0.5425  0.57
Horowitz 1949   86  0.2084  0.0087  0.0287  0.0285  0.0387  0.02
Indjic 1988   27  0.5312  0.0122  0.1916  0.6710  0.6314  0.65
Kapell 1951   18  0.5810  0.017  0.1519  0.6512  0.6019  0.62
Kissin 1993   21  0.5743  0.0023  0.1425  0.609  0.6817  0.64
Kushner 1989   12  0.6117  0.008  0.198  0.7511  0.6110  0.68
Luisada 1991   62  0.3585  0.0074  0.0377  0.0380  0.0381  0.03
Lushtak 2004   32  0.5040  0.0032  0.1230  0.5036  0.3135  0.39
Malcuzynski 1961   3  0.702  0.222  0.443  0.792  0.723  0.75
Magaloff 1978   29  0.5114  0.0130  0.1031  0.4617  0.4931  0.47
Magin 1975   31  0.5138  0.0034  0.1034  0.4325  0.4033  0.41
Michalowski 1933   84  0.2571  0.0071  0.0468  0.0417  0.4353  0.13
Milkina 1970   5  0.6611  0.016  0.266  0.7611  0.6011  0.68
Mohovich 1999   51  0.4378  0.0049  0.0756  0.0761  0.0468  0.05
Moravec 1969   40  0.4741  0.0044  0.0742  0.1643  0.1549  0.15
Morozova 2008   19  0.5744  0.0024  0.1723  0.634  0.6518  0.64
Neighaus 1950   39  0.4819  0.0042  0.0744  0.1510  0.5440  0.28
Niedzielski 1931   88  0.1249  0.0088  0.0189  0.0186  0.0291  0.01
Ohlsson 1999   45  0.4531  0.0050  0.0754  0.0741  0.1854  0.11
Osinska 1989   14  0.6086  0.0017  0.1612  0.6918  0.5916  0.64
Pachmann 1927   60  0.3856  0.0055  0.0752  0.0713  0.5245  0.19
Paderewski 1930   63  0.3572  0.0057  0.0946  0.095  0.6042  0.23
Perlemuter 1992   69  0.3322  0.0083  0.0382  0.0370  0.0482  0.03
Pierdomenico 2008   56  0.4087  0.0056  0.0751  0.0720  0.4944  0.19
Poblocka 1999   23  0.5488  0.0029  0.1229  0.5128  0.4132  0.46
Rabcewiczowa 1932   48  0.4429  0.0043  0.0743  0.1663  0.0456  0.08
Rachmaninoff 1923   70  0.3389  0.0063  0.0467  0.0450  0.0665  0.05
Rangell 2001   13  0.6032  0.0016  0.1520  0.642  0.777  0.70
Richter 1976   20  0.5728  0.0021  0.1721  0.648  0.6713  0.65
Rosen 1989   57  0.4033  0.0065  0.0563  0.0565  0.0476  0.04
Rosenthal 1930   79  0.3039  0.0082  0.0378  0.0360  0.0485  0.03
Rosenthal 1931   83  0.2673  0.0084  0.0374  0.0355  0.0571  0.04
Rosenthal 1931b   87  0.1990  0.0086  0.0286  0.0284  0.0290  0.02
Rosenthal 1931c   81  0.2747  0.0078  0.0376  0.0367  0.0486  0.03
Rosenthal 1931d   85  0.2448  0.0085  0.0471  0.0469  0.0478  0.04
Rossi 2007   52  0.4267  0.0053  0.0847  0.0812  0.4743  0.19
Rubinstein 1939   8  0.625  0.039  0.1914  0.683  0.709  0.69
Rubinstein 1952   15  0.607  0.0210  0.1513  0.6912  0.6215  0.65
Rubinstein 1966   9  0.6216  0.0014  0.157  0.7513  0.666  0.70
Schilhawsky 1960   11  0.6113  0.0113  0.1411  0.692  0.765  0.72
Shebanova 2002   55  0.4124  0.0064  0.0469  0.0473  0.0473  0.04
Smith 1975   33  0.508  0.0127  0.1427  0.519  0.5928  0.55
Sokolov 2002   53  0.4261  0.0058  0.0750  0.0747  0.0757  0.07
Sztompka 1959   6  0.646  0.0312  0.1410  0.703  0.784  0.74
Tomsic 1995   58  0.4091  0.0061  0.0755  0.0753  0.0759  0.07
Uninsky 1932   43  0.4620  0.0037  0.1035  0.4114  0.6230  0.50
Uninsky 1971   24  0.5427  0.0031  0.1528  0.5119  0.5229  0.51
Wasowski 1980   34  0.4950  0.0038  0.0838  0.3426  0.4136  0.37
Zak 1937   35  0.4951  0.0040  0.0839  0.3332  0.3837  0.35
Zak 1951   37  0.4854  0.0041  0.1240  0.3230  0.2938  0.30
Average   2  0.713  0.073  0.372  0.8422  0.5312  0.67
Random 1   90  0.0255  0.0090  0.0190  0.017  0.4960  0.07
Random 2   89  0.1179  0.0089  0.0288  0.0210  0.4455  0.09
Random 3   91  -0.0464  0.0091  0.0191  0.016  0.4961  0.07

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).