Czerny 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2813  0.0133  0.0932  0.1832  0.1936  0.18
Ax 1995   55  0.4319  0.0045  0.0551  0.0526  0.3243  0.13
Bacha 1998   61  0.3660  0.0063  0.0363  0.0355  0.0467  0.03
Barbosa 1983   48  0.4729  0.0027  0.0825  0.3019  0.4625  0.37
BenOr 1989   21  0.5730  0.0013  0.1312  0.5219  0.4814  0.50
Biret 1990   4  0.6316  0.006  0.206  0.626  0.654  0.63
Brailowsky 1960   52  0.4632  0.0044  0.0553  0.0518  0.4439  0.15
Chiu 1999   49  0.4741  0.0046  0.0547  0.0548  0.0655  0.05
Clidat 1994   51  0.4747  0.0041  0.0738  0.0721  0.3637  0.16
Cohen 1997   63  0.3424  0.0058  0.0554  0.0519  0.5238  0.16
Cortot 1951   33  0.5151  0.0052  0.0642  0.0615  0.2944  0.13
Csalog 1996   2  0.702  0.112  0.552  0.743  0.602  0.67
Czerny 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   18  0.5845  0.0012  0.1613  0.5212  0.5510  0.53
Falvay 1989   8  0.6062  0.0014  0.1511  0.5424  0.2822  0.39
Fiorentino 1962   41  0.4937  0.0048  0.0552  0.0543  0.0661  0.05
Fliere 1977   40  0.4917  0.0049  0.0548  0.0546  0.0654  0.05
Fou 1978   7  0.6110  0.019  0.138  0.585  0.637  0.60
Francois 1956   62  0.3639  0.0062  0.0362  0.0337  0.0863  0.05
Goldenweiser 1946   38  0.4948  0.0051  0.0456  0.0441  0.0653  0.05
Gornostaeva 1994   36  0.5042  0.0031  0.0831  0.197  0.6128  0.34
Groot 1988   6  0.613  0.025  0.287  0.597  0.598  0.59
Hatto 1993   11  0.6027  0.0019  0.1218  0.4622  0.4020  0.43
Hatto 1997   17  0.5826  0.0017  0.0917  0.4715  0.4717  0.47
Horszowski 1983   31  0.5118  0.0026  0.0727  0.2821  0.4824  0.37
Indjic 2001   16  0.5812  0.0120  0.1220  0.4418  0.4419  0.44
Katin 1996   14  0.5956  0.0010  0.1510  0.5616  0.4911  0.52
Kiepura 1999   42  0.4928  0.0037  0.0934  0.0911  0.5232  0.22
Korecka 1992   39  0.4952  0.0056  0.0555  0.0523  0.4242  0.14
Kushner 1990   43  0.485  0.0224  0.0828  0.269  0.4826  0.35
Lilamand 2001   10  0.607  0.017  0.265  0.653  0.751  0.70
Luisada 1990   20  0.5821  0.0022  0.0721  0.3522  0.3627  0.35
Luisada 2008   54  0.4443  0.0057  0.0543  0.0545  0.0558  0.05
Lushtak 2004   15  0.5825  0.0016  0.1114  0.5212  0.4615  0.49
Malcuzynski 1951   57  0.4063  0.0060  0.0361  0.0334  0.0862  0.05
Malcuzynski 1961   13  0.5920  0.008  0.1215  0.5111  0.5212  0.51
Magaloff 1977   50  0.4744  0.0055  0.0550  0.0551  0.0466  0.04
Magin 1975   24  0.5623  0.0015  0.1116  0.4813  0.4716  0.47
Meguri 1997   34  0.5134  0.0036  0.0837  0.0820  0.4433  0.19
Milkina 1970   27  0.5414  0.0130  0.0730  0.2017  0.4030  0.28
Mohovich 1999   3  0.6311  0.013  0.303  0.666  0.653  0.65
Nezu 2005   30  0.5254  0.0054  0.0459  0.0443  0.0659  0.05
Ohlsson 1999   53  0.4535  0.0042  0.0545  0.0534  0.0949  0.07
Olejniczak 1990   47  0.4858  0.0053  0.0546  0.0529  0.1848  0.09
Osinska 1989   26  0.5653  0.0023  0.0722  0.3519  0.4621  0.40
Perlemuter 1992   59  0.3964  0.0064  0.0360  0.0345  0.0565  0.04
Poblocka 1999   23  0.564  0.0234  0.0739  0.0743  0.0650  0.06
Rangell 2001   28  0.5446  0.0035  0.0835  0.0821  0.4734  0.19
Richter 1960   12  0.598  0.0118  0.0819  0.4514  0.5513  0.50
Richter 1961   25  0.5615  0.0128  0.1023  0.3410  0.5718  0.44
Rosen 1989   32  0.5140  0.0040  0.0740  0.0724  0.4735  0.18
Rubinstein 1939   44  0.4849  0.0043  0.0549  0.0535  0.0751  0.06
Rubinstein 1952   29  0.5255  0.0025  0.1026  0.3011  0.4723  0.38
Rubinstein 1966   5  0.6233  0.004  0.194  0.658  0.595  0.62
Rudanovskaya 2007   22  0.5757  0.0032  0.0829  0.2112  0.5029  0.32
Shebanova 2002   9  0.6022  0.0011  0.149  0.567  0.579  0.56
Smith 1975   56  0.4265  0.0059  0.0457  0.0447  0.0656  0.05
Sztompka 1959   46  0.4838  0.0039  0.0641  0.0620  0.3740  0.15
Tanyel 1992   58  0.4031  0.0050  0.0458  0.0436  0.1052  0.06
Tsujii 2005   19  0.5850  0.0029  0.1024  0.3139  0.0741  0.15
Uninsky 1959   45  0.4836  0.0047  0.0544  0.0552  0.0557  0.05
Vardi 1988   35  0.509  0.0138  0.0836  0.0829  0.1845  0.12
Wasowski 1980   60  0.3767  0.0061  0.0364  0.0347  0.0664  0.04
Zimerman 1975   37  0.506  0.0121  0.0833  0.1726  0.3331  0.24
Average   1  0.731  0.701  0.691  0.8814  0.446  0.62
Random 1   66  0.0566  0.0067  0.0167  0.0118  0.2160  0.05
Random 2   65  0.0959  0.0065  0.0265  0.0213  0.4346  0.09
Random 3   67  0.0361  0.0066  0.0266  0.0216  0.3747  0.09

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).