Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.3369  0.0053  0.0650  0.0648  0.0567  0.05
Anderszewski 2003   26  0.4018  0.0024  0.1619  0.5318  0.5215  0.52
Ashkenazy 1981   74  0.2882  0.0081  0.0385  0.0372  0.0579  0.04
Bacha 2000   83  0.2431  0.0083  0.0374  0.0382  0.0381  0.03
Badura 1965   72  0.2876  0.0064  0.0556  0.0552  0.0478  0.04
Barbosa 1983   43  0.3662  0.0049  0.0847  0.0865  0.0650  0.07
Biret 1990   16  0.4360  0.0025  0.1221  0.4916  0.5714  0.53
Blet 2003   73  0.2838  0.0074  0.0380  0.0358  0.0487  0.03
Block 1995   28  0.4050  0.0029  0.0923  0.4732  0.3027  0.38
Blumental 1952   65  0.3080  0.0065  0.0559  0.0565  0.0568  0.05
Boshniakovich 1969   25  0.4137  0.009  0.1418  0.5329  0.3026  0.40
Brailowsky 1960   52  0.3461  0.0054  0.0652  0.0662  0.0562  0.05
Bunin 1987   55  0.3330  0.0055  0.0558  0.0549  0.0670  0.05
Bunin 1987b   57  0.3263  0.0060  0.0560  0.0550  0.0664  0.05
Chiu 1999   53  0.3426  0.0059  0.0464  0.0455  0.0571  0.04
Cohen 1997   24  0.4111  0.0118  0.1324  0.467  0.6312  0.54
Cortot 1951   32  0.3913  0.0116  0.0832  0.3614  0.5523  0.44
Csalog 1996   29  0.4024  0.0033  0.1135  0.2920  0.3529  0.32
Czerny 1949   5  0.513  0.095  0.236  0.667  0.775  0.71
Czerny 1990   51  0.3445  0.0040  0.0640  0.1354  0.0645  0.09
Duchoud 2007   59  0.3185  0.0044  0.0444  0.0935  0.2240  0.14
Ezaki 2006   8  0.4721  0.0011  0.128  0.6411  0.608  0.62
Falvay 1989   12  0.455  0.027  0.199  0.6211  0.4513  0.53
Farrell 1958   54  0.3441  0.0045  0.0563  0.0550  0.0663  0.05
Ferenczy 1958   31  0.3965  0.0035  0.1034  0.329  0.7319  0.48
Fliere 1977   13  0.4432  0.0028  0.0926  0.4449  0.0737  0.18
Fou 1978   36  0.3942  0.0048  0.0846  0.0855  0.0554  0.06
Francois 1956   11  0.459  0.0114  0.0714  0.554  0.767  0.65
Friedman 1923   76  0.2679  0.0072  0.0376  0.0339  0.1460  0.06
Friedman 1923b   78  0.2546  0.0073  0.0465  0.0444  0.1153  0.07
Friedman 1930   64  0.3036  0.0041  0.0543  0.0954  0.0651  0.07
Garcia 2007   66  0.3072  0.0042  0.0442  0.0960  0.0552  0.07
Garcia 2007b   69  0.2966  0.0075  0.0287  0.0273  0.0490  0.03
Gierzod 1998   21  0.4214  0.0112  0.1112  0.5917  0.4616  0.52
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   48  0.3516  0.0126  0.0831  0.3637  0.1931  0.26
Harasiewicz 1955   6  0.4919  0.006  0.155  0.6821  0.4511  0.55
Hatto 1993   61  0.3183  0.0066  0.0557  0.0583  0.0380  0.04
Hatto 1997   39  0.3886  0.0043  0.0541  0.0965  0.0459  0.06
Horowitz 1949   81  0.2481  0.0085  0.0373  0.0377  0.0384  0.03
Indjic 1988   75  0.2889  0.0079  0.0382  0.0380  0.0486  0.03
Kapell 1951   45  0.3648  0.0038  0.0638  0.1771  0.0543  0.09
Kissin 1993   77  0.2588  0.0084  0.0469  0.0449  0.0857  0.06
Kushner 1989   22  0.4244  0.0031  0.1125  0.4669  0.0539  0.15
Luisada 1991   49  0.3551  0.0062  0.0562  0.0562  0.0661  0.05
Lushtak 2004   34  0.3939  0.0036  0.1036  0.2635  0.1436  0.19
Malcuzynski 1961   37  0.3849  0.0030  0.0927  0.4444  0.1034  0.21
Magaloff 1978   10  0.466  0.0219  0.1017  0.5420  0.3920  0.46
Magin 1975   38  0.3825  0.0039  0.0639  0.1344  0.1141  0.12
Michalowski 1933   86  0.2257  0.0086  0.0384  0.0344  0.1156  0.06
Milkina 1970   18  0.4215  0.018  0.1711  0.6118  0.579  0.59
Mohovich 1999   15  0.4371  0.0020  0.0916  0.5525  0.4717  0.51
Moravec 1969   35  0.3928  0.0027  0.1028  0.4226  0.3328  0.37
Morozova 2008   41  0.3735  0.0050  0.0749  0.0757  0.0558  0.06
Neighaus 1950   17  0.4210  0.0117  0.1222  0.4819  0.4222  0.45
Niedzielski 1931   82  0.2455  0.0070  0.0378  0.0370  0.0483  0.03
Ohlsson 1999   40  0.3840  0.0046  0.0651  0.0676  0.0375  0.04
Osinska 1989   1  0.601  0.441  0.441  0.842  0.802  0.82
Pachmann 1927   60  0.3167  0.0069  0.0372  0.0349  0.0765  0.05
Paderewski 1930   87  0.2023  0.0082  0.0386  0.0376  0.0385  0.03
Perlemuter 1992   23  0.4234  0.0032  0.1233  0.3513  0.5224  0.43
Pierdomenico 2008   70  0.2875  0.0080  0.0377  0.0363  0.0482  0.03
Poblocka 1999   30  0.4056  0.0037  0.0737  0.2143  0.1638  0.18
Rabcewiczowa 1932   2  0.562  0.232  0.472  0.811  0.851  0.83
Rachmaninoff 1923   68  0.3068  0.0057  0.0468  0.0453  0.0572  0.04
Rangell 2001   47  0.3520  0.0021  0.1230  0.3623  0.4825  0.42
Richter 1976   42  0.3653  0.0058  0.0466  0.0466  0.0574  0.04
Rosen 1989   3  0.548  0.013  0.393  0.784  0.694  0.73
Rosenthal 1930   44  0.3690  0.0047  0.0845  0.0824  0.5535  0.21
Rosenthal 1931   80  0.2564  0.0078  0.0375  0.0341  0.1948  0.08
Rosenthal 1931b   84  0.2373  0.0076  0.0381  0.0336  0.2547  0.09
Rosenthal 1931c   67  0.3054  0.0056  0.0561  0.0527  0.2842  0.12
Rosenthal 1931d   85  0.2243  0.0071  0.0383  0.0327  0.3046  0.09
Rossi 2007   33  0.3917  0.0151  0.0748  0.073  0.6533  0.21
Rubinstein 1939   20  0.4212  0.0115  0.0820  0.5120  0.4221  0.46
Rubinstein 1952   19  0.4247  0.0022  0.1615  0.5529  0.4518  0.50
Rubinstein 1966   14  0.4427  0.0023  0.1413  0.5645  0.0932  0.22
Schilhawsky 1960   79  0.2529  0.0087  0.0379  0.0385  0.0388  0.03
Shebanova 2002   62  0.3058  0.0077  0.0370  0.0355  0.0676  0.04
Smith 1975   4  0.524  0.034  0.264  0.741  0.813  0.77
Sokolov 2002   7  0.487  0.0210  0.1110  0.623  0.706  0.66
Sztompka 1959   50  0.3552  0.0063  0.0653  0.0663  0.0566  0.05
Tomsic 1995   46  0.3577  0.0052  0.0554  0.0547  0.0855  0.06
Uninsky 1932   71  0.2878  0.0068  0.0371  0.0373  0.0389  0.03
Uninsky 1971   9  0.4722  0.0013  0.107  0.6513  0.5210  0.58
Wasowski 1980   27  0.4033  0.0034  0.0929  0.3735  0.2130  0.28
Zak 1937   63  0.3087  0.0067  0.0467  0.0456  0.0573  0.04
Zak 1951   58  0.3274  0.0061  0.0555  0.0544  0.1149  0.07
Random 1   89  0.0284  0.0088  0.0288  0.0217  0.4144  0.09
Random 2   88  0.0270  0.0089  0.0189  0.0137  0.1777  0.04
Random 3   90  -0.0559  0.0090  0.0190  0.0128  0.2369  0.05

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).