Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.853  0.144  0.243  0.633  0.575  0.60
Anderszewski 2003   40  0.6968  0.0057  0.0464  0.0439  0.1975  0.09
Ashkenazy 1981   52  0.6755  0.0038  0.0835  0.2311  0.4335  0.31
Bacha 2000   65  0.6072  0.0061  0.0549  0.0521  0.2666  0.11
Badura 1965   58  0.6686  0.0056  0.0461  0.0419  0.4850  0.14
Barbosa 1983   84  0.4822  0.0168  0.0376  0.0323  0.2276  0.08
Biret 1990   47  0.6959  0.0044  0.0444  0.0819  0.3446  0.16
Blet 2003   37  0.7054  0.0053  0.0375  0.0317  0.3769  0.11
Block 1995   63  0.6373  0.0047  0.0462  0.044  0.4358  0.13
Blumental 1952   70  0.5818  0.0152  0.0465  0.0437  0.1277  0.07
Boshniakovich 1969   18  0.7624  0.0014  0.0824  0.3516  0.5121  0.42
Brailowsky 1960   59  0.6566  0.0070  0.0470  0.0421  0.3167  0.11
Bunin 1987   73  0.5657  0.0067  0.0381  0.0321  0.4171  0.11
Bunin 1987b   75  0.5575  0.0066  0.0379  0.0321  0.4168  0.11
Chiu 1999   66  0.5912  0.0143  0.0543  0.1012  0.3443  0.18
Cohen 1997   87  0.3383  0.0087  0.0472  0.0460  0.0484  0.04
Cortot 1951   41  0.6961  0.0059  0.0457  0.0416  0.4360  0.13
Csalog 1996   78  0.5331  0.0064  0.0468  0.0417  0.3463  0.12
Czerny 1949   14  0.7733  0.0018  0.0912  0.4113  0.5213  0.46
Czerny 1990   17  0.7634  0.0031  0.0534  0.2415  0.3737  0.30
Duchoud 2007   64  0.6246  0.0049  0.0474  0.048  0.4357  0.13
Ezaki 2006   44  0.6939  0.0054  0.0380  0.0328  0.2573  0.09
Falvay 1989   81  0.5129  0.0084  0.0378  0.0347  0.1078  0.05
Farrell 1958   53  0.675  0.0812  0.1039  0.1819  0.4239  0.27
Ferenczy 1958   56  0.6753  0.0062  0.0550  0.059  0.4448  0.15
Fliere 1977   5  0.848  0.036  0.256  0.552  0.546  0.54
Fou 1978   50  0.6862  0.0040  0.0542  0.1515  0.3642  0.23
Francois 1956   28  0.7320  0.0142  0.0840  0.172  0.5736  0.31
Friedman 1923   39  0.6971  0.0050  0.0377  0.0321  0.4472  0.11
Friedman 1923b   45  0.6980  0.0048  0.0471  0.0421  0.4559  0.13
Friedman 1930   43  0.6976  0.0060  0.0647  0.0625  0.4145  0.16
Garcia 2007   31  0.7347  0.0037  0.0633  0.2510  0.5229  0.36
Garcia 2007b   21  0.7663  0.0017  0.0923  0.353  0.6114  0.46
Gierzod 1998   1  0.882  0.182  0.221  0.671  0.691  0.68
Gornostaeva 1994   32  0.7240  0.0045  0.0460  0.045  0.4951  0.14
Groot 1988   55  0.6732  0.0046  0.0467  0.047  0.5052  0.14
Harasiewicz 1955   34  0.7217  0.0129  0.0531  0.2720  0.3338  0.30
Hatto 1993   54  0.6710  0.0236  0.0930  0.2813  0.4730  0.36
Hatto 1997   48  0.6843  0.0035  0.0729  0.2813  0.4531  0.35
Horowitz 1949   51  0.6769  0.0058  0.0551  0.0517  0.4747  0.15
Indjic 1988   46  0.6952  0.0034  0.0528  0.2913  0.4528  0.36
Kapell 1951   20  0.769  0.0210  0.169  0.465  0.4217  0.44
Kissin 1993   8  0.8114  0.017  0.138  0.483  0.618  0.54
Kushner 1989   7  0.836  0.069  0.1610  0.451  0.6210  0.53
Luisada 1991   30  0.7341  0.0019  0.0919  0.3710  0.4127  0.39
Lushtak 2004   35  0.7119  0.0133  0.0532  0.255  0.4332  0.33
Malcuzynski 1961   71  0.5856  0.0077  0.0473  0.0449  0.0582  0.04
Magaloff 1978   60  0.6511  0.0171  0.0555  0.0518  0.3353  0.13
Magin 1975   27  0.7470  0.0016  0.0818  0.377  0.5216  0.44
Michalowski 1933   23  0.7584  0.0030  0.0627  0.3010  0.5325  0.40
Milkina 1970   22  0.7548  0.0041  0.0641  0.1615  0.4141  0.26
Mohovich 1999   9  0.7913  0.0113  0.0811  0.413  0.729  0.54
Moravec 1969   85  0.4430  0.0085  0.0384  0.0348  0.0680  0.04
Morozova 2008   29  0.7316  0.0126  0.1126  0.326  0.5126  0.40
Neighaus 1950   2  0.874  0.103  0.282  0.651  0.692  0.67
Niedzielski 1931   33  0.7249  0.0039  0.0537  0.2014  0.4834  0.31
Ohlsson 1999   6  0.837  0.035  0.285  0.601  0.693  0.64
Osinska 1989   13  0.7815  0.0120  0.0821  0.368  0.5515  0.44
Pachmann 1927   61  0.6458  0.0076  0.0553  0.0521  0.3256  0.13
Paderewski 1930   57  0.6687  0.0063  0.0645  0.0620  0.3449  0.14
Perlemuter 1992   16  0.7635  0.0011  0.1014  0.391  0.6411  0.50
Pierdomenico 2008   72  0.5725  0.0074  0.0646  0.066  0.4644  0.17
Poblocka 1999   10  0.7927  0.008  0.147  0.482  0.607  0.54
Rabcewiczowa 1932   42  0.6964  0.0051  0.0463  0.0412  0.3462  0.12
Rachmaninoff 1923   49  0.6828  0.0027  0.0738  0.1914  0.3640  0.26
Rangell 2001   77  0.5323  0.0065  0.0458  0.0417  0.3764  0.12
Richter 1976   69  0.5860  0.0075  0.0456  0.0427  0.4055  0.13
Rosen 1989   11  0.7850  0.0021  0.0920  0.368  0.5120  0.43
Rosenthal 1930   74  0.5685  0.0079  0.0648  0.0651  0.0479  0.05
Rosenthal 1931   80  0.5278  0.0081  0.0387  0.0350  0.0583  0.04
Rosenthal 1931b   79  0.5281  0.0080  0.0386  0.0354  0.0585  0.04
Rosenthal 1931c   82  0.5174  0.0082  0.0385  0.0346  0.0586  0.04
Rosenthal 1931d   83  0.5088  0.0083  0.0382  0.0364  0.0487  0.03
Rossi 2007   86  0.4282  0.0086  0.0383  0.0363  0.0581  0.04
Rubinstein 1939   67  0.5937  0.0073  0.0554  0.0535  0.1774  0.09
Rubinstein 1952   76  0.5421  0.0172  0.0459  0.0427  0.3765  0.12
Rubinstein 1966   62  0.6436  0.0069  0.0469  0.0427  0.3370  0.11
Schilhawsky 1960   15  0.7738  0.0015  0.0716  0.387  0.5812  0.47
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   36  0.7177  0.0055  0.0466  0.0416  0.3661  0.12
Sokolov 2002   38  0.6945  0.0032  0.0636  0.236  0.4533  0.32
Sztompka 1959   3  0.861  0.181  0.184  0.601  0.624  0.61
Tomsic 1995   68  0.5926  0.0078  0.0552  0.0529  0.3454  0.13
Uninsky 1932   24  0.7465  0.0024  0.0922  0.3615  0.4624  0.41
Uninsky 1971   25  0.7444  0.0025  0.1413  0.3915  0.4423  0.41
Wasowski 1980   26  0.7451  0.0028  0.0625  0.335  0.5122  0.41
Zak 1937   12  0.7842  0.0023  0.1115  0.386  0.4918  0.43
Zak 1951   19  0.7679  0.0022  0.0917  0.377  0.4919  0.43
Random 1   90  -0.2189  0.0090  0.0190  0.0167  0.0389  0.02
Random 2   88  -0.0767  0.0088  0.0288  0.0274  0.0388  0.02
Random 3   89  -0.1790  0.0089  0.0189  0.0166  0.0490  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).