Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.5276  0.0046  0.0658  0.0648  0.0658  0.06
Anderszewski 2003   76  0.3186  0.0072  0.0475  0.0454  0.0376  0.03
Ashkenazy 1981   3  0.722  0.102  0.303  0.714  0.625  0.66
Bacha 2000   21  0.5866  0.0034  0.0917  0.432  0.6310  0.52
Badura 1965   61  0.4251  0.0050  0.0653  0.0635  0.2151  0.11
Barbosa 1983   44  0.5139  0.0030  0.0727  0.3522  0.4321  0.39
Biret 1990   48  0.4952  0.0047  0.0650  0.0652  0.0566  0.05
Blet 2003   29  0.5623  0.0041  0.0737  0.2527  0.3034  0.27
Block 1995   42  0.5237  0.0052  0.0568  0.0523  0.3150  0.12
Blumental 1952   57  0.4560  0.0045  0.0645  0.1115  0.3639  0.20
Boshniakovich 1969   17  0.5958  0.0038  0.0935  0.2724  0.4129  0.33
Brailowsky 1960   51  0.4787  0.0057  0.0654  0.0667  0.0461  0.05
Bunin 1987   71  0.3577  0.0078  0.0377  0.0371  0.0480  0.03
Bunin 1987b   70  0.3582  0.0077  0.0383  0.0368  0.0474  0.03
Chiu 1999   6  0.6525  0.005  0.206  0.612  0.763  0.68
Cohen 1997   58  0.4553  0.0058  0.0652  0.0620  0.3643  0.15
Cortot 1951   62  0.4288  0.0067  0.0474  0.0458  0.0570  0.04
Csalog 1996   14  0.6013  0.0112  0.1310  0.503  0.599  0.54
Czerny 1949   75  0.3270  0.0075  0.0472  0.0475  0.0378  0.03
Czerny 1990   9  0.6229  0.0016  0.1012  0.4917  0.4017  0.44
Duchoud 2007   35  0.548  0.0227  0.0629  0.3529  0.3825  0.36
Ezaki 2006   46  0.5044  0.0059  0.0846  0.0873  0.0360  0.05
Falvay 1989   11  0.6163  0.0018  0.1018  0.4315  0.3720  0.40
Farrell 1958   65  0.3989  0.0076  0.0380  0.0386  0.0373  0.03
Ferenczy 1958   79  0.2990  0.0081  0.0287  0.0265  0.0388  0.02
Fliere 1977   5  0.699  0.017  0.225  0.643  0.684  0.66
Fou 1978   8  0.6350  0.009  0.129  0.538  0.5112  0.52
Francois 1956   64  0.4147  0.0063  0.0566  0.0571  0.0371  0.04
Friedman 1923   88  0.1528  0.0080  0.0382  0.0379  0.0385  0.03
Friedman 1923b   87  0.1641  0.0079  0.0385  0.0375  0.0481  0.03
Friedman 1930   82  0.2657  0.0073  0.0473  0.0475  0.0377  0.03
Garcia 2007   72  0.3559  0.0069  0.0657  0.0615  0.4542  0.16
Garcia 2007b   77  0.3061  0.0071  0.0565  0.0513  0.4145  0.14
Gierzod 1998   34  0.5478  0.0028  0.0723  0.3922  0.2730  0.32
Gornostaeva 1994   60  0.4445  0.0066  0.0471  0.0482  0.0382  0.03
Groot 1988   15  0.6016  0.0136  0.0732  0.3128  0.3031  0.30
Harasiewicz 1955   66  0.3955  0.0061  0.0655  0.0687  0.0283  0.03
Hatto 1993   53  0.4724  0.0010  0.1220  0.4010  0.5316  0.46
Hatto 1997   69  0.3832  0.0033  0.0836  0.2563  0.0452  0.10
Horowitz 1949   49  0.4917  0.0151  0.0563  0.0550  0.0564  0.05
Indjic 1988   54  0.4648  0.0011  0.1426  0.3810  0.4818  0.43
Kapell 1951   43  0.5142  0.0060  0.0656  0.0659  0.0463  0.05
Kissin 1993   1  0.771  0.581  0.571  0.791  0.811  0.80
Kushner 1989   4  0.6912  0.016  0.194  0.663  0.802  0.73
Luisada 1991   19  0.5810  0.014  0.198  0.536  0.558  0.54
Lushtak 2004   32  0.5540  0.0042  0.0842  0.1835  0.1941  0.18
Malcuzynski 1961   12  0.6130  0.0026  0.0630  0.3449  0.0548  0.13
Magaloff 1978   27  0.5743  0.0040  0.0838  0.2450  0.0746  0.13
Magin 1975   50  0.4922  0.0032  0.0731  0.3222  0.2732  0.29
Michalowski 1933   67  0.3920  0.0056  0.0560  0.0540  0.1756  0.09
Milkina 1970   26  0.5767  0.0017  0.0916  0.468  0.4615  0.46
Mohovich 1999   45  0.5035  0.0062  0.0561  0.0550  0.0565  0.05
Moravec 1969   23  0.5873  0.0013  0.1611  0.505  0.5511  0.52
Morozova 2008   36  0.5333  0.0019  0.0924  0.3920  0.3028  0.34
Neighaus 1950   25  0.5879  0.0035  0.1033  0.3049  0.0744  0.14
Niedzielski 1931   55  0.4618  0.0043  0.0643  0.1413  0.3936  0.23
Ohlsson 1999   7  0.644  0.048  0.177  0.575  0.537  0.55
Osinska 1989   39  0.5280  0.0049  0.0847  0.0852  0.0657  0.07
Pachmann 1927   41  0.5234  0.0044  0.0644  0.1222  0.4437  0.23
Paderewski 1930   33  0.547  0.0222  0.0739  0.2323  0.3035  0.26
Perlemuter 1992   47  0.4927  0.0055  0.0748  0.0734  0.1949  0.12
Pierdomenico 2008   24  0.5819  0.0021  0.0815  0.471  0.686  0.57
Poblocka 1999   13  0.6014  0.0120  0.0821  0.4022  0.3127  0.35
Rabcewiczowa 1932   73  0.3483  0.0082  0.0378  0.0374  0.0372  0.03
Rachmaninoff 1923   81  0.2736  0.0074  0.0569  0.0551  0.0562  0.05
Rangell 2001   22  0.5854  0.0037  0.0728  0.3513  0.4223  0.38
Richter 1976   30  0.5611  0.0123  0.0740  0.2223  0.3333  0.27
Rosen 1989   16  0.6038  0.0031  0.0925  0.3820  0.3922  0.38
Rosenthal 1930   78  0.3081  0.0084  0.0379  0.0380  0.0379  0.03
Rosenthal 1931   85  0.1926  0.0087  0.0289  0.0280  0.0387  0.02
Rosenthal 1931b   84  0.2046  0.0088  0.0384  0.0385  0.0290  0.02
Rosenthal 1931c   74  0.3274  0.0083  0.0376  0.0365  0.0384  0.03
Rosenthal 1931d   83  0.2575  0.0086  0.0381  0.0384  0.0289  0.02
Rossi 2007   86  0.1849  0.0085  0.0286  0.0253  0.0386  0.02
Rubinstein 1939   80  0.2885  0.0048  0.0651  0.0629  0.2947  0.13
Rubinstein 1952   10  0.6162  0.0015  0.0813  0.497  0.5513  0.52
Rubinstein 1966   28  0.5664  0.0029  0.0922  0.3913  0.4519  0.42
Schilhawsky 1960   68  0.3821  0.0065  0.0562  0.0562  0.0469  0.04
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   56  0.4565  0.0064  0.0559  0.0557  0.0468  0.04
Sokolov 2002   59  0.4531  0.0070  0.0567  0.0573  0.0367  0.04
Sztompka 1959   38  0.5215  0.0153  0.0564  0.0542  0.1655  0.09
Tomsic 1995   18  0.5971  0.0039  0.0741  0.2243  0.1440  0.18
Uninsky 1932   52  0.475  0.0254  0.0649  0.0637  0.1653  0.10
Uninsky 1971   63  0.4268  0.0068  0.0570  0.0586  0.0275  0.03
Wasowski 1980   37  0.536  0.0224  0.0734  0.279  0.4526  0.35
Zak 1937   20  0.5872  0.0014  0.0914  0.4811  0.4914  0.48
Zak 1951   31  0.5584  0.0025  0.0719  0.4229  0.3124  0.36
Average   2  0.723  0.063  0.192  0.7449  0.0638  0.21
Random 1   90  0.0669  0.0089  0.0290  0.024  0.5054  0.10
Random 2   91  -0.0591  0.0091  0.0191  0.0183  0.0291  0.01
Random 3   89  0.0856  0.0090  0.0288  0.0237  0.1759  0.06

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).