Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.4677  0.0028  0.1025  0.425  0.6414  0.52
Anderszewski 2003   31  0.4263  0.0029  0.1226  0.4125  0.4825  0.44
Ashkenazy 1981   63  0.3658  0.0066  0.0652  0.0648  0.0964  0.07
Bacha 2000   47  0.3832  0.0026  0.0933  0.338  0.6421  0.46
Badura 1965   62  0.3629  0.0049  0.0846  0.0813  0.5044  0.20
Barbosa 1983   23  0.448  0.0121  0.0924  0.4225  0.3828  0.40
Biret 1990   25  0.4347  0.0031  0.1130  0.3518  0.5722  0.45
Blet 2003   67  0.3462  0.0070  0.0657  0.0649  0.0666  0.06
Block 1995   58  0.3636  0.0053  0.0563  0.0542  0.1561  0.09
Blumental 1952   7  0.4724  0.006  0.146  0.664  0.752  0.70
Boshniakovich 1969   57  0.376  0.0116  0.0834  0.3238  0.2237  0.27
Brailowsky 1960   15  0.4620  0.0014  0.1010  0.586  0.736  0.65
Bunin 1987   73  0.2950  0.0074  0.0379  0.0356  0.0580  0.04
Bunin 1987b   72  0.2916  0.0071  0.0378  0.0354  0.0577  0.04
Chiu 1999   60  0.3661  0.0064  0.0564  0.0547  0.0670  0.05
Cohen 1997   41  0.4037  0.0046  0.0562  0.056  0.6847  0.18
Cortot 1951   52  0.3878  0.0047  0.0653  0.065  0.6945  0.20
Csalog 1996   70  0.3043  0.0083  0.0285  0.0267  0.0586  0.03
Czerny 1949   13  0.4633  0.0013  0.0915  0.5211  0.748  0.62
Czerny 1990   35  0.4130  0.0030  0.1328  0.3833  0.4130  0.39
Duchoud 2007   81  0.2768  0.0085  0.0286  0.0258  0.0587  0.03
Ezaki 2006   3  0.514  0.019  0.205  0.663  0.723  0.69
Falvay 1989   17  0.4641  0.0023  0.0820  0.4619  0.4126  0.43
Farrell 1958   68  0.3334  0.0058  0.0565  0.0542  0.1462  0.08
Ferenczy 1958   49  0.3853  0.0061  0.0649  0.0619  0.6643  0.20
Fliere 1977   19  0.4423  0.0022  0.1017  0.5048  0.0842  0.20
Fou 1978   33  0.4154  0.0025  0.0821  0.4523  0.4423  0.44
Francois 1956   44  0.3952  0.0050  0.0650  0.0617  0.5946  0.19
Friedman 1923   75  0.2885  0.0079  0.0468  0.0472  0.0482  0.04
Friedman 1923b   78  0.2789  0.0078  0.0470  0.0458  0.0581  0.04
Friedman 1930   77  0.2876  0.0077  0.0567  0.0565  0.0479  0.04
Garcia 2007   88  0.2091  0.0081  0.0288  0.0263  0.0588  0.03
Garcia 2007b   76  0.2844  0.0073  0.0381  0.0369  0.0489  0.03
Gierzod 1998   14  0.4614  0.007  0.177  0.667  0.657  0.65
Gornostaeva 1994   8  0.4710  0.0119  0.0814  0.528  0.6510  0.58
Groot 1988   16  0.4639  0.008  0.208  0.618  0.5611  0.58
Harasiewicz 1955   4  0.517  0.014  0.194  0.6815  0.549  0.61
Hatto 1993   21  0.4418  0.0011  0.1111  0.5523  0.4020  0.47
Hatto 1997   2  0.5111  0.002  0.283  0.694  0.704  0.69
Horowitz 1949   85  0.2464  0.0086  0.0382  0.0376  0.0384  0.03
Indjic 1988   22  0.4422  0.0012  0.1216  0.5124  0.4418  0.47
Kapell 1951   37  0.4028  0.0043  0.0740  0.1945  0.0952  0.13
Kissin 1993   48  0.3873  0.0039  0.0639  0.2036  0.4035  0.28
Kushner 1989   40  0.4042  0.0042  0.0643  0.1650  0.0754  0.11
Luisada 1991   51  0.3879  0.0062  0.0473  0.0455  0.0667  0.05
Lushtak 2004   59  0.3648  0.0065  0.0648  0.0656  0.0575  0.05
Malcuzynski 1961   34  0.4160  0.0034  0.1131  0.3543  0.1440  0.22
Magaloff 1978   32  0.4212  0.0024  0.0829  0.3519  0.4131  0.38
Magin 1975   55  0.3783  0.0063  0.0471  0.0446  0.0771  0.05
Michalowski 1933   84  0.2457  0.0084  0.0383  0.0368  0.0578  0.04
Milkina 1970   6  0.482  0.055  0.1812  0.5322  0.5313  0.53
Mohovich 1999   27  0.4319  0.0033  0.1027  0.3930  0.4129  0.40
Moravec 1969   42  0.3931  0.0035  0.0737  0.2336  0.2438  0.23
Morozova 2008   39  0.4045  0.0045  0.0645  0.1341  0.1751  0.15
Neighaus 1950   36  0.4165  0.0037  0.0738  0.2126  0.3736  0.28
Niedzielski 1931   79  0.2782  0.0069  0.0474  0.0464  0.0476  0.04
Ohlsson 1999   24  0.4349  0.0027  0.1022  0.4514  0.4424  0.44
Osinska 1989   9  0.4726  0.0015  0.1113  0.5323  0.4915  0.51
Pachmann 1927   87  0.2386  0.0087  0.0380  0.0370  0.0485  0.03
Paderewski 1930   86  0.2459  0.0080  0.0476  0.0450  0.0672  0.05
Perlemuter 1992   45  0.3935  0.0051  0.0656  0.0618  0.4749  0.17
Pierdomenico 2008   83  0.2590  0.0088  0.0475  0.0476  0.0383  0.03
Poblocka 1999   28  0.4271  0.0041  0.0642  0.1839  0.2739  0.22
Rabcewiczowa 1932   30  0.4217  0.0032  0.0832  0.3520  0.5327  0.43
Rachmaninoff 1923   65  0.3525  0.0056  0.0651  0.0644  0.1358  0.09
Rangell 2001   66  0.3480  0.0060  0.0561  0.0537  0.2753  0.12
Richter 1976   50  0.3846  0.0059  0.0747  0.0765  0.0565  0.06
Rosen 1989   18  0.4566  0.0017  0.1018  0.4913  0.4519  0.47
Rosenthal 1930   56  0.3767  0.0057  0.0469  0.0413  0.6250  0.16
Rosenthal 1931   74  0.2974  0.0075  0.0377  0.0330  0.4255  0.11
Rosenthal 1931b   71  0.3084  0.0067  0.0655  0.0622  0.5248  0.18
Rosenthal 1931c   69  0.3038  0.0076  0.0472  0.0440  0.1863  0.08
Rosenthal 1931d   80  0.2727  0.0072  0.0384  0.0322  0.4156  0.11
Rossi 2007   82  0.2669  0.0082  0.0287  0.0245  0.1469  0.05
Rubinstein 1939   26  0.4313  0.0036  0.0736  0.2325  0.3734  0.29
Rubinstein 1952   20  0.4451  0.0020  0.0919  0.4820  0.5317  0.50
Rubinstein 1966   10  0.4781  0.0010  0.099  0.5822  0.4316  0.50
Schilhawsky 1960   61  0.3640  0.0068  0.0566  0.0536  0.1660  0.09
Shebanova 2002   43  0.3921  0.0054  0.0560  0.0566  0.0673  0.05
Smith 1975   12  0.4615  0.0018  0.0823  0.436  0.6712  0.54
Sokolov 2002   29  0.425  0.0140  0.0741  0.1914  0.5032  0.31
Sztompka 1959   38  0.4075  0.0038  0.0635  0.2628  0.3833  0.31
Tomsic 1995   46  0.399  0.0144  0.0644  0.1425  0.3441  0.22
Uninsky 1932   5  0.503  0.013  0.202  0.702  0.741  0.72
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   64  0.3655  0.0048  0.0654  0.0674  0.0568  0.05
Zak 1937   54  0.3772  0.0052  0.0559  0.0536  0.1957  0.10
Zak 1951   53  0.3756  0.0055  0.0558  0.0539  0.1859  0.09
Average   1  0.641  0.791  0.781  0.8918  0.505  0.67
Random 1   90  -0.0270  0.0090  0.0190  0.0159  0.0490  0.02
Random 2   89  0.0287  0.0089  0.0289  0.0242  0.1474  0.05
Random 3   91  -0.0788  0.0091  0.0191  0.0159  0.0391  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).