Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6629  0.003  0.137  0.673  0.588  0.62
Anderszewski 2003   55  0.4011  0.0128  0.0835  0.2435  0.2134  0.22
Ashkenazy 1981   53  0.4150  0.0050  0.0554  0.0572  0.0467  0.04
Bacha 2000   79  0.2758  0.0078  0.0285  0.0268  0.0385  0.02
Badura 1965   38  0.4677  0.0045  0.0645  0.1233  0.2237  0.16
Barbosa 1983   56  0.3970  0.0061  0.0649  0.0647  0.0559  0.05
Biret 1990   14  0.5916  0.0019  0.1117  0.5312  0.5114  0.52
Blet 2003   43  0.4578  0.0051  0.0748  0.0758  0.0555  0.06
Block 1995   74  0.3175  0.0082  0.0382  0.0380  0.0382  0.03
Blumental 1952   44  0.4424  0.0021  0.1030  0.3112  0.4322  0.37
Boshniakovich 1969   62  0.3781  0.0079  0.0286  0.0272  0.0389  0.02
Brailowsky 1960   59  0.3861  0.0076  0.0372  0.0369  0.0472  0.03
Bunin 1987   25  0.5347  0.0032  0.0929  0.3334  0.2228  0.27
Bunin 1987b   24  0.5352  0.0033  0.1428  0.3334  0.2129  0.26
Chiu 1999   69  0.3287  0.0073  0.0367  0.0379  0.0373  0.03
Cohen 1997   81  0.2017  0.0081  0.0365  0.0358  0.0483  0.03
Cortot 1951   17  0.5726  0.0015  0.1118  0.523  0.6011  0.56
Csalog 1996   76  0.2973  0.0085  0.0381  0.0374  0.0380  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   3  0.6939  0.008  0.1611  0.648  0.549  0.59
Duchoud 2007   40  0.4666  0.0052  0.0650  0.0662  0.0461  0.05
Ezaki 2006   5  0.687  0.014  0.215  0.747  0.595  0.66
Falvay 1989   19  0.5518  0.0029  0.0824  0.4038  0.1431  0.24
Farrell 1958   39  0.4643  0.0048  0.0552  0.0534  0.2339  0.11
Ferenczy 1958   18  0.569  0.0116  0.1121  0.489  0.4817  0.48
Fliere 1977   46  0.4482  0.0062  0.0461  0.0479  0.0371  0.03
Fou 1978   66  0.3615  0.0037  0.0644  0.1373  0.0450  0.07
Francois 1956   1  0.751  0.571  0.561  0.831  0.761  0.79
Friedman 1923   85  0.1388  0.0059  0.0557  0.0545  0.1152  0.07
Friedman 1923b   86  0.1383  0.0060  0.0558  0.0558  0.0562  0.05
Friedman 1930   61  0.3737  0.0042  0.0639  0.1525  0.3832  0.24
Garcia 2007   87  0.0779  0.0089  0.0290  0.0276  0.0388  0.02
Garcia 2007b   88  0.0789  0.0090  0.0289  0.0288  0.0290  0.02
Gierzod 1998   26  0.5259  0.0022  0.0920  0.4815  0.3719  0.42
Gornostaeva 1994   4  0.692  0.112  0.169  0.667  0.617  0.63
Groot 1988   30  0.5227  0.0036  0.0736  0.2366  0.0349  0.08
Harasiewicz 1955   33  0.4913  0.0120  0.1216  0.5627  0.2621  0.38
Hatto 1993   83  0.1884  0.0067  0.0463  0.0470  0.0468  0.04
Hatto 1997   70  0.3232  0.0043  0.0642  0.1349  0.0547  0.08
Horowitz 1949   47  0.4367  0.0054  0.0651  0.0656  0.0458  0.05
Indjic 1988   82  0.1985  0.0065  0.0366  0.0371  0.0379  0.03
Kapell 1951   13  0.606  0.0412  0.1514  0.5614  0.4715  0.51
Kissin 1993   60  0.3868  0.0069  0.0376  0.0364  0.0478  0.03
Kushner 1989   27  0.5263  0.0039  0.0537  0.2339  0.1636  0.19
Luisada 1991   63  0.3730  0.0071  0.0374  0.0373  0.0470  0.03
Lushtak 2004   51  0.4176  0.0038  0.0640  0.1560  0.0448  0.08
Malcuzynski 1961   15  0.5944  0.0013  0.1310  0.6520  0.3816  0.50
Magaloff 1978   42  0.4528  0.0040  0.0641  0.1370  0.0353  0.06
Magin 1975   75  0.3033  0.0070  0.0283  0.0258  0.0476  0.03
Michalowski 1933   65  0.3635  0.0041  0.0643  0.1342  0.1638  0.14
Milkina 1970   36  0.4712  0.0127  0.0833  0.2743  0.1535  0.20
Mohovich 1999   23  0.5331  0.0031  0.0825  0.3841  0.1433  0.23
Moravec 1969   11  0.623  0.059  0.236  0.733  0.653  0.69
Morozova 2008   29  0.5238  0.0025  0.0823  0.4021  0.2626  0.32
Neighaus 1950   20  0.5553  0.0018  0.1015  0.5633  0.2125  0.34
Niedzielski 1931   67  0.3574  0.0063  0.0369  0.0372  0.0375  0.03
Ohlsson 1999   31  0.5134  0.0044  0.0638  0.1651  0.0544  0.09
Osinska 1989   8  0.6614  0.0110  0.158  0.675  0.626  0.64
Pachmann 1927   84  0.1890  0.0086  0.0373  0.0387  0.0287  0.02
Paderewski 1930   49  0.4269  0.0057  0.0462  0.0480  0.0377  0.03
Perlemuter 1992   54  0.4186  0.0056  0.0460  0.0456  0.0464  0.04
Pierdomenico 2008   57  0.3836  0.0066  0.0368  0.0375  0.0374  0.03
Poblocka 1999   37  0.4772  0.0046  0.0553  0.0548  0.0557  0.05
Rabcewiczowa 1932   2  0.704  0.057  0.214  0.741  0.792  0.76
Rachmaninoff 1923   28  0.5245  0.0026  0.1126  0.3723  0.3523  0.36
Rangell 2001   68  0.3322  0.0064  0.0364  0.0382  0.0384  0.03
Richter 1976   77  0.2980  0.0083  0.0287  0.0265  0.0386  0.02
Rosen 1989   35  0.4856  0.0030  0.0831  0.3035  0.2130  0.25
Rosenthal 1930   21  0.5521  0.0024  0.0822  0.468  0.6413  0.54
Rosenthal 1931   72  0.3148  0.0068  0.0378  0.0327  0.2346  0.08
Rosenthal 1931b   78  0.2871  0.0072  0.0377  0.0339  0.1651  0.07
Rosenthal 1931c   32  0.4951  0.0034  0.1032  0.2811  0.5620  0.40
Rosenthal 1931d   73  0.3119  0.0074  0.0370  0.0344  0.0863  0.05
Rossi 2007   58  0.3854  0.0075  0.0371  0.0323  0.2943  0.09
Rubinstein 1939   80  0.2425  0.0084  0.0379  0.0353  0.0565  0.04
Rubinstein 1952   64  0.3762  0.0077  0.0380  0.0363  0.0569  0.04
Rubinstein 1966   50  0.4246  0.0055  0.0555  0.0555  0.0660  0.05
Schilhawsky 1960   41  0.4549  0.0049  0.0747  0.0753  0.0556  0.06
Shebanova 2002   71  0.3264  0.0080  0.0375  0.0372  0.0481  0.03
Smith 1975   7  0.685  0.055  0.163  0.755  0.614  0.68
Sokolov 2002   10  0.6320  0.0011  0.1612  0.649  0.4812  0.55
Sztompka 1959   16  0.5941  0.0017  0.1519  0.4924  0.3918  0.44
Tomsic 1995   34  0.4940  0.0035  0.1034  0.2564  0.0440  0.10
Uninsky 1932   22  0.5455  0.0023  0.0927  0.3724  0.2627  0.31
Uninsky 1971   12  0.628  0.0114  0.1413  0.6111  0.5110  0.56
Wasowski 1980   45  0.4460  0.0058  0.0559  0.0541  0.1542  0.09
Zak 1937   52  0.4191  0.0053  0.0746  0.0748  0.0554  0.06
Zak 1951   48  0.4357  0.0047  0.0556  0.0564  0.0466  0.04
Average   6  0.6810  0.016  0.192  0.7645  0.1624  0.35
Random 1   91  -0.1065  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   90  0.0423  0.0088  0.0284  0.024  0.4545  0.09
Random 3   89  0.0542  0.0087  0.0288  0.023  0.5141  0.10

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).