Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3373  0.0075  0.0283  0.0261  0.0483  0.03
Anderszewski 2003   24  0.5433  0.0014  0.1414  0.6713  0.5719  0.62
Ashkenazy 1981   64  0.3457  0.0078  0.0284  0.0288  0.0288  0.02
Bacha 2000   58  0.3979  0.0058  0.0748  0.0718  0.4045  0.17
Badura 1965   65  0.3480  0.0059  0.0757  0.0751  0.0661  0.06
Barbosa 1983   15  0.5922  0.0018  0.1716  0.6620  0.4826  0.56
Biret 1990   46  0.4435  0.0045  0.0847  0.0857  0.0563  0.06
Blet 2003   74  0.3167  0.0076  0.0374  0.0376  0.0382  0.03
Block 1995   73  0.3281  0.0068  0.0471  0.0450  0.0666  0.05
Blumental 1952   48  0.4329  0.0046  0.0659  0.0664  0.0567  0.05
Boshniakovich 1969   16  0.5824  0.0017  0.1717  0.667  0.5920  0.62
Brailowsky 1960   66  0.3454  0.0074  0.0380  0.0358  0.0669  0.04
Bunin 1987   40  0.4746  0.0047  0.0756  0.0716  0.3648  0.16
Bunin 1987b   45  0.4564  0.0050  0.0752  0.0724  0.3250  0.15
Chiu 1999   63  0.3568  0.0069  0.0564  0.0568  0.0470  0.04
Cohen 1997   71  0.3274  0.0072  0.0378  0.0346  0.0676  0.04
Cortot 1951   35  0.4816  0.0027  0.1332  0.441  0.7623  0.58
Csalog 1996   75  0.3140  0.0061  0.0561  0.0551  0.0565  0.05
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.751  0.461  0.461  0.892  0.851  0.87
Duchoud 2007   79  0.2975  0.0071  0.0372  0.0348  0.0674  0.04
Ezaki 2006   21  0.5643  0.0019  0.1425  0.5916  0.5325  0.56
Falvay 1989   41  0.4761  0.0044  0.0744  0.1362  0.0457  0.07
Farrell 1958   9  0.613  0.074  0.213  0.771  0.792  0.78
Ferenczy 1958   70  0.3282  0.0080  0.0379  0.0365  0.0572  0.04
Fliere 1977   37  0.4862  0.0034  0.0831  0.4451  0.0646  0.16
Fou 1978   43  0.4676  0.0035  0.0836  0.3535  0.2238  0.28
Francois 1956   49  0.4369  0.0051  0.0660  0.0620  0.3851  0.15
Friedman 1923   76  0.3047  0.0067  0.0469  0.0463  0.0579  0.04
Friedman 1923b   77  0.3058  0.0066  0.0563  0.0546  0.0762  0.06
Friedman 1930   81  0.2636  0.0079  0.0282  0.0284  0.0387  0.02
Garcia 2007   60  0.3848  0.0053  0.0658  0.0624  0.4247  0.16
Garcia 2007b   53  0.4159  0.0038  0.0640  0.1830  0.3240  0.24
Gierzod 1998   6  0.6318  0.0010  0.128  0.7015  0.5221  0.60
Gornostaeva 1994   25  0.5320  0.0032  0.1135  0.4023  0.4133  0.40
Groot 1988   72  0.3265  0.0065  0.0465  0.0463  0.0578  0.04
Harasiewicz 1955   3  0.6710  0.013  0.304  0.779  0.648  0.70
Hatto 1993   27  0.5225  0.0024  0.1721  0.6310  0.5822  0.60
Hatto 1997   29  0.5134  0.0025  0.2323  0.6111  0.5424  0.57
Horowitz 1949   85  0.2083  0.0086  0.0286  0.0284  0.0386  0.02
Indjic 1988   26  0.538  0.0221  0.2015  0.679  0.6313  0.65
Kapell 1951   17  0.5811  0.016  0.1618  0.6511  0.6018  0.62
Kissin 1993   20  0.5744  0.0022  0.1424  0.608  0.6816  0.64
Kushner 1989   11  0.6114  0.007  0.197  0.7510  0.6110  0.68
Luisada 1991   61  0.3584  0.0073  0.0376  0.0379  0.0380  0.03
Lushtak 2004   31  0.5041  0.0031  0.1229  0.5035  0.3134  0.39
Malcuzynski 1961   2  0.702  0.232  0.472  0.791  0.723  0.75
Magaloff 1978   28  0.5113  0.0129  0.1030  0.4616  0.4930  0.47
Magin 1975   30  0.5137  0.0033  0.1033  0.4324  0.4032  0.41
Michalowski 1933   83  0.2570  0.0070  0.0467  0.0416  0.4352  0.13
Milkina 1970   4  0.669  0.015  0.265  0.7610  0.6011  0.68
Mohovich 1999   50  0.4377  0.0048  0.0755  0.0760  0.0468  0.05
Moravec 1969   39  0.4742  0.0043  0.0741  0.1642  0.1549  0.15
Morozova 2008   18  0.5745  0.0023  0.1722  0.633  0.6517  0.64
Neighaus 1950   38  0.4817  0.0041  0.0743  0.159  0.5439  0.28
Niedzielski 1931   87  0.1251  0.0087  0.0188  0.0185  0.0290  0.01
Ohlsson 1999   44  0.4530  0.0049  0.0753  0.0740  0.1853  0.11
Osinska 1989   13  0.6085  0.0016  0.1711  0.6917  0.5915  0.64
Pachmann 1927   59  0.3856  0.0054  0.0751  0.0712  0.5244  0.19
Paderewski 1930   62  0.3571  0.0056  0.0945  0.094  0.6041  0.23
Perlemuter 1992   68  0.3321  0.0082  0.0381  0.0369  0.0481  0.03
Pierdomenico 2008   55  0.4086  0.0055  0.0750  0.0719  0.4943  0.19
Poblocka 1999   22  0.5487  0.0028  0.1228  0.5127  0.4131  0.46
Rabcewiczowa 1932   47  0.4428  0.0042  0.0742  0.1662  0.0455  0.08
Rachmaninoff 1923   69  0.3388  0.0062  0.0466  0.0449  0.0664  0.05
Rangell 2001   12  0.6031  0.0015  0.1519  0.641  0.777  0.70
Richter 1976   19  0.5727  0.0020  0.1820  0.647  0.6712  0.65
Rosen 1989   56  0.4032  0.0064  0.0562  0.0564  0.0475  0.04
Rosenthal 1930   78  0.3039  0.0081  0.0377  0.0359  0.0484  0.03
Rosenthal 1931   82  0.2672  0.0083  0.0373  0.0354  0.0571  0.04
Rosenthal 1931b   86  0.1989  0.0085  0.0285  0.0283  0.0289  0.02
Rosenthal 1931c   80  0.2738  0.0077  0.0375  0.0366  0.0485  0.03
Rosenthal 1931d   84  0.2449  0.0084  0.0470  0.0468  0.0477  0.04
Rossi 2007   51  0.4266  0.0052  0.0846  0.0811  0.4742  0.19
Rubinstein 1939   7  0.624  0.038  0.1913  0.682  0.709  0.69
Rubinstein 1952   14  0.606  0.029  0.1512  0.6911  0.6214  0.65
Rubinstein 1966   8  0.6215  0.0013  0.166  0.7512  0.666  0.70
Schilhawsky 1960   10  0.6112  0.0112  0.1410  0.691  0.765  0.72
Shebanova 2002   54  0.4123  0.0063  0.0468  0.0472  0.0473  0.04
Smith 1975   32  0.507  0.0226  0.1426  0.518  0.5927  0.55
Sokolov 2002   52  0.4260  0.0057  0.0749  0.0746  0.0756  0.07
Sztompka 1959   5  0.645  0.0311  0.149  0.702  0.784  0.74
Tomsic 1995   57  0.4090  0.0060  0.0754  0.0752  0.0758  0.07
Uninsky 1932   42  0.4619  0.0036  0.1134  0.4113  0.6229  0.50
Uninsky 1971   23  0.5426  0.0030  0.1527  0.5118  0.5228  0.51
Wasowski 1980   33  0.4952  0.0037  0.0937  0.3425  0.4135  0.37
Zak 1937   34  0.4953  0.0039  0.0838  0.3331  0.3836  0.35
Zak 1951   36  0.4850  0.0040  0.1239  0.3229  0.2937  0.30
Random 1   89  0.0255  0.0089  0.0189  0.017  0.4859  0.07
Random 2   88  0.1178  0.0088  0.0287  0.0210  0.4354  0.09
Random 3   90  -0.0463  0.0090  0.0190  0.016  0.4860  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).