Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.811  0.321  0.313  0.672  0.643  0.65
Anderszewski 2003   48  0.5923  0.0159  0.0566  0.0534  0.1552  0.09
Ashkenazy 1981   49  0.5859  0.0033  0.0631  0.2834  0.2235  0.25
Bacha 2000   79  0.4032  0.0073  0.0650  0.0678  0.0371  0.04
Badura 1965   22  0.6736  0.0030  0.0724  0.3513  0.4325  0.39
Barbosa 1983   65  0.4969  0.0069  0.0567  0.0559  0.0567  0.05
Biret 1990   45  0.6045  0.0048  0.0558  0.0554  0.0570  0.05
Blet 2003   28  0.6587  0.0046  0.0469  0.0435  0.1953  0.09
Block 1995   72  0.4657  0.0071  0.0471  0.0463  0.0475  0.04
Blumental 1952   60  0.5229  0.0027  0.1132  0.2815  0.3131  0.29
Boshniakovich 1969   31  0.6481  0.0057  0.0648  0.0628  0.2745  0.13
Brailowsky 1960   71  0.4751  0.0077  0.0288  0.0286  0.0390  0.02
Bunin 1987   29  0.6458  0.0026  0.1322  0.377  0.5320  0.44
Bunin 1987b   33  0.6370  0.0025  0.0823  0.377  0.5319  0.44
Chiu 1999   77  0.4552  0.0072  0.0473  0.0487  0.0379  0.03
Cohen 1997   88  0.1566  0.0088  0.0478  0.0468  0.0476  0.04
Cortot 1951   15  0.7133  0.0021  0.0920  0.405  0.6217  0.50
Csalog 1996   85  0.3480  0.0083  0.0382  0.0381  0.0384  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.842  0.163  0.262  0.702  0.691  0.69
Duchoud 2007   52  0.5731  0.0054  0.0559  0.0534  0.2847  0.12
Ezaki 2006   9  0.7440  0.0015  0.0715  0.4610  0.4718  0.46
Falvay 1989   76  0.4582  0.0085  0.0472  0.0472  0.0473  0.04
Farrell 1958   58  0.5430  0.0060  0.0563  0.0549  0.0665  0.05
Ferenczy 1958   44  0.6150  0.0029  0.0637  0.1715  0.3536  0.24
Fliere 1977   8  0.7526  0.0018  0.1314  0.4733  0.2826  0.36
Fou 1978   68  0.4763  0.0068  0.0561  0.0580  0.0474  0.04
Francois 1956   10  0.7324  0.0020  0.0918  0.445  0.5814  0.51
Friedman 1923   64  0.5191  0.0024  0.0828  0.306  0.5723  0.41
Friedman 1923b   63  0.5183  0.0023  0.0827  0.307  0.5721  0.41
Friedman 1930   25  0.6661  0.0017  0.1019  0.434  0.5816  0.50
Garcia 2007   70  0.4767  0.0067  0.0647  0.0647  0.0662  0.06
Garcia 2007b   82  0.3946  0.0066  0.0649  0.0617  0.2548  0.12
Gierzod 1998   5  0.784  0.074  0.245  0.622  0.664  0.64
Gornostaeva 1994   19  0.6822  0.0128  0.0740  0.1521  0.3637  0.23
Groot 1988   54  0.5642  0.0064  0.0555  0.0562  0.0477  0.04
Harasiewicz 1955   23  0.6643  0.0019  0.0817  0.4519  0.3822  0.41
Hatto 1993   74  0.4634  0.0055  0.0475  0.0440  0.1260  0.07
Hatto 1997   61  0.5218  0.0137  0.0738  0.1627  0.2241  0.19
Horowitz 1949   36  0.6317  0.0141  0.0444  0.0814  0.5040  0.20
Indjic 1988   66  0.4884  0.0049  0.0568  0.0549  0.0666  0.05
Kapell 1951   16  0.7016  0.018  0.149  0.536  0.4715  0.50
Kissin 1993   42  0.6271  0.0053  0.0557  0.0535  0.1651  0.09
Kushner 1989   20  0.6849  0.0045  0.0445  0.0834  0.2443  0.14
Luisada 1991   55  0.5647  0.0065  0.0653  0.0669  0.0463  0.05
Lushtak 2004   50  0.5889  0.0036  0.0635  0.1753  0.0554  0.09
Malcuzynski 1961   17  0.693  0.0912  0.134  0.622  0.692  0.65
Magaloff 1978   57  0.5554  0.0070  0.0470  0.0476  0.0472  0.04
Magin 1975   62  0.5278  0.0063  0.0564  0.0540  0.1355  0.08
Michalowski 1933   43  0.629  0.0213  0.1710  0.512  0.636  0.57
Milkina 1970   56  0.5535  0.0043  0.0442  0.0844  0.0956  0.08
Mohovich 1999   41  0.6274  0.0047  0.0562  0.0549  0.0669  0.05
Moravec 1969   46  0.6010  0.0240  0.0539  0.1612  0.4632  0.27
Morozova 2008   35  0.6319  0.0114  0.0730  0.2811  0.3529  0.31
Neighaus 1950   13  0.737  0.037  0.157  0.5910  0.509  0.54
Niedzielski 1931   24  0.6627  0.0038  0.0834  0.2113  0.4528  0.31
Ohlsson 1999   26  0.6544  0.0035  0.0933  0.2526  0.2933  0.27
Osinska 1989   6  0.776  0.0411  0.128  0.577  0.567  0.56
Pachmann 1927   78  0.4377  0.0081  0.0387  0.0366  0.0482  0.03
Paderewski 1930   51  0.5811  0.0161  0.0556  0.0539  0.1257  0.08
Perlemuter 1992   37  0.6368  0.0056  0.0565  0.0547  0.0664  0.05
Pierdomenico 2008   69  0.4762  0.0074  0.0651  0.0648  0.0959  0.07
Poblocka 1999   18  0.6985  0.0022  0.1521  0.3915  0.4024  0.39
Rabcewiczowa 1932   21  0.6715  0.0144  0.0541  0.1219  0.3938  0.22
Rachmaninoff 1923   14  0.7120  0.0116  0.0916  0.453  0.6011  0.52
Rangell 2001   84  0.3539  0.0078  0.0380  0.0370  0.0387  0.03
Richter 1976   53  0.5676  0.0062  0.0652  0.0632  0.2346  0.12
Rosen 1989   47  0.5972  0.0050  0.0476  0.0433  0.2450  0.10
Rosenthal 1930   38  0.6348  0.0039  0.0536  0.179  0.5630  0.31
Rosenthal 1931   80  0.4086  0.0079  0.0379  0.0376  0.0383  0.03
Rosenthal 1931b   83  0.3873  0.0080  0.0386  0.0365  0.0489  0.03
Rosenthal 1931c   59  0.5321  0.0142  0.0443  0.0829  0.2842  0.15
Rosenthal 1931d   81  0.3965  0.0084  0.0381  0.0367  0.0488  0.03
Rossi 2007   75  0.4555  0.0082  0.0384  0.0341  0.1361  0.06
Rubinstein 1939   86  0.3325  0.0086  0.0383  0.0379  0.0380  0.03
Rubinstein 1952   87  0.3253  0.0087  0.0477  0.0460  0.0578  0.04
Rubinstein 1966   67  0.4737  0.0075  0.0554  0.0552  0.0568  0.05
Schilhawsky 1960   7  0.7613  0.016  0.1412  0.505  0.5313  0.51
Shebanova 2002   39  0.6228  0.0052  0.0560  0.0532  0.2549  0.11
Smith 1975   27  0.6564  0.0051  0.0474  0.0442  0.1158  0.07
Sokolov 2002   34  0.6356  0.0031  0.0629  0.3023  0.3927  0.34
Sztompka 1959   4  0.798  0.032  0.246  0.592  0.625  0.60
Tomsic 1995   73  0.4679  0.0076  0.0385  0.0372  0.0381  0.03
Uninsky 1932   11  0.7312  0.0110  0.2013  0.474  0.5812  0.52
Uninsky 1971   12  0.7314  0.019  0.1311  0.515  0.5610  0.53
Wasowski 1980   40  0.6241  0.0058  0.0746  0.0722  0.2644  0.13
Zak 1937   30  0.6460  0.0034  0.0726  0.3135  0.2034  0.25
Zak 1951   32  0.6438  0.0032  0.0825  0.3341  0.1339  0.21
Average   3  0.805  0.075  0.311  0.7516  0.418  0.55
Random 1   91  -0.1590  0.0091  0.0191  0.0175  0.0391  0.02
Random 2   89  -0.1075  0.0089  0.0289  0.0251  0.0485  0.03
Random 3   90  -0.1288  0.0090  0.0290  0.0258  0.0586  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).