Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   4  0.603  0.0510  0.1610  0.5733  0.197  0.33
Ax 1995   32  0.4540  0.0037  0.0538  0.0553  0.0739  0.06
Bacha 1998   42  0.4228  0.0041  0.0459  0.0461  0.0557  0.04
Barbosa 1983   23  0.5029  0.0028  0.0929  0.3845  0.0728  0.16
BenOr 1989   36  0.4465  0.0052  0.0444  0.0457  0.0462  0.04
Biret 1990   50  0.3917  0.0044  0.0362  0.0360  0.0466  0.03
Brailowsky 1960   38  0.4444  0.0046  0.0460  0.0456  0.0642  0.05
Chiu 1999   19  0.5131  0.0025  0.0725  0.419  0.574  0.48
Clidat 1994   35  0.4418  0.0017  0.1119  0.4532  0.179  0.28
Cohen 1997   55  0.3819  0.0058  0.0542  0.0523  0.2935  0.12
Cortot 1951   62  0.3039  0.0063  0.0449  0.0457  0.0464  0.04
Csalog 1996   26  0.4910  0.0123  0.0824  0.4144  0.0629  0.16
Czerny 1989   16  0.515  0.0220  0.0831  0.3642  0.0727  0.16
Ezaki 2006   15  0.5234  0.0030  0.1523  0.4148  0.0625  0.16
Falvay 1989   3  0.6015  0.005  0.215  0.6760  0.0522  0.18
Fiorentino 1962   47  0.4027  0.0040  0.0363  0.0363  0.0465  0.03
Fliere 1977   20  0.5125  0.0024  0.0820  0.4448  0.0626  0.16
Fou 1978   5  0.586  0.028  0.184  0.6742  0.0714  0.22
Francois 1956   58  0.3661  0.0043  0.0452  0.0451  0.0652  0.05
Goldenweiser 1946   56  0.374  0.0249  0.0457  0.0439  0.0641  0.05
Gornostaeva 1994   46  0.4148  0.0047  0.0455  0.0441  0.0750  0.05
Groot 1988   57  0.3642  0.0048  0.0458  0.0458  0.0563  0.04
Hatto 1993   12  0.537  0.016  0.1711  0.5648  0.0717  0.20
Hatto 1997   10  0.5512  0.013  0.198  0.5833  0.158  0.29
Horszowski 1983   54  0.3843  0.0042  0.0450  0.0410  0.4534  0.13
Indjic 2001   13  0.5316  0.007  0.2112  0.5551  0.0623  0.18
Katin 1996   29  0.4936  0.0031  0.1228  0.3837  0.1020  0.19
Kiepura 1999   43  0.4257  0.0056  0.0445  0.0462  0.0453  0.04
Korecka 1992   59  0.3558  0.0061  0.0541  0.0560  0.0545  0.05
Kushner 1990   11  0.5453  0.0018  0.1314  0.5246  0.0721  0.19
Lilamand 2001   63  0.2722  0.0062  0.0364  0.0348  0.0560  0.04
Luisada 1990   44  0.4147  0.0053  0.0540  0.0562  0.0548  0.05
Luisada 2008   39  0.4459  0.0045  0.0456  0.0447  0.0747  0.05
Lushtak 2004   18  0.5126  0.0021  0.1018  0.4761  0.0530  0.15
Malcuzynski 1951   37  0.4435  0.0039  0.0543  0.0543  0.0840  0.06
Malcuzynski 1961   27  0.4941  0.0032  0.1830  0.3643  0.0824  0.17
Magaloff 1977   61  0.3023  0.0060  0.0454  0.0460  0.0461  0.04
Magin 1975   53  0.3845  0.0059  0.0453  0.0459  0.0556  0.04
Meguri 1997   49  0.3949  0.0038  0.0539  0.0558  0.0459  0.04
Milkina 1970   24  0.5052  0.0016  0.1213  0.5251  0.0719  0.19
Mohovich 1999   34  0.4451  0.0033  0.1233  0.2260  0.0436  0.09
Nezu 2005   17  0.5155  0.0014  0.1017  0.4734  0.1311  0.25
Ohlsson 1999   21  0.5111  0.0119  0.0916  0.4851  0.0816  0.20
Olejniczak 1990   30  0.4737  0.0029  0.1226  0.4060  0.0632  0.15
Osinska 1989   14  0.5330  0.0022  0.1021  0.4451  0.0818  0.19
Perlemuter 1992   60  0.3432  0.0057  0.0461  0.0461  0.0454  0.04
Poblocka 1999   45  0.4150  0.0054  0.0451  0.0461  0.0455  0.04
Rangell 2001   6  0.589  0.014  0.153  0.675  0.732  0.70
Richter 1960   28  0.4964  0.0027  0.1027  0.3911  0.525  0.45
Richter 1961   25  0.498  0.0111  0.1415  0.486  0.593  0.53
Rosen 1989   40  0.4463  0.0035  0.0735  0.0761  0.0449  0.05
Rubinstein 1939   51  0.3962  0.0050  0.0448  0.0453  0.0644  0.05
Rubinstein 1952   41  0.4256  0.0036  0.0636  0.0656  0.0551  0.05
Rubinstein 1966   48  0.4060  0.0055  0.0537  0.0556  0.0546  0.05
Rudanovskaya 2007   33  0.452  0.0513  0.1032  0.2718  0.416  0.33
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   52  0.3933  0.0051  0.0447  0.0455  0.0643  0.05
Sztompka 1959   64  0.2554  0.0064  0.0446  0.0464  0.0458  0.04
Tanyel 1992   22  0.5046  0.0026  0.0822  0.4357  0.0531  0.15
Tsujii 2005   1  0.691  0.711  0.701  0.8511  0.621  0.73
Uninsky 1959   9  0.5521  0.0015  0.109  0.5740  0.0815  0.21
Vardi 1988   8  0.5624  0.0012  0.127  0.5836  0.1012  0.24
Wasowski 1980   31  0.4620  0.0034  0.1034  0.1056  0.0637  0.08
Zimerman 1975   7  0.5813  0.019  0.156  0.6342  0.0913  0.24
Average   2  0.6314  0.012  0.382  0.7848  0.0810  0.25
Random 1   67  -0.0367  0.0066  0.0266  0.0210  0.3638  0.08
Random 2   65  0.0538  0.0065  0.0365  0.033  0.6333  0.14
Random 3   66  -0.0366  0.0067  0.0167  0.0147  0.0467  0.02

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).