Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6211  0.0127  0.0718  0.4332  0.2120  0.30
Anderszewski 2003   51  0.4478  0.0046  0.0550  0.0548  0.0462  0.04
Ashkenazy 1981   30  0.5428  0.0026  0.0622  0.3834  0.1724  0.25
Bacha 2000   79  0.2427  0.0080  0.0382  0.0387  0.0282  0.02
Badura 1965   11  0.6342  0.0018  0.0820  0.4212  0.4412  0.43
Barbosa 1983   18  0.619  0.0133  0.1129  0.3226  0.3519  0.33
Biret 1990   40  0.5066  0.0048  0.0554  0.0568  0.0365  0.04
Blet 2003   8  0.6517  0.0121  0.0921  0.4121  0.3417  0.37
Block 1995   72  0.3345  0.0063  0.0558  0.0565  0.0463  0.04
Blumental 1952   29  0.5423  0.0034  0.0832  0.2713  0.3221  0.29
Boshniakovich 1969   34  0.5230  0.006  0.0740  0.1646  0.1037  0.13
Brailowsky 1960   76  0.3057  0.0086  0.0289  0.0285  0.0283  0.02
Bunin 1987   6  0.6788  0.0010  0.095  0.5018  0.419  0.45
Bunin 1987b   5  0.6769  0.009  0.086  0.5018  0.418  0.45
Chiu 1999   56  0.4346  0.0060  0.0553  0.0572  0.0456  0.04
Cohen 1997   91  -0.0279  0.0089  0.0190  0.0175  0.0387  0.02
Cortot 1951   12  0.634  0.025  0.129  0.4610  0.486  0.47
Csalog 1996   84  0.1921  0.0177  0.0377  0.0379  0.0377  0.03
Czerny 1949   3  0.6943  0.0016  0.0816  0.4318  0.4013  0.41
Czerny 1990   2  0.7232  0.003  0.173  0.5217  0.3215  0.41
Duchoud 2007   15  0.6272  0.0020  0.0714  0.4425  0.3814  0.41
Ezaki 2006   14  0.6253  0.0029  0.0826  0.3445  0.0831  0.16
Falvay 1989   64  0.3984  0.0073  0.0375  0.0369  0.0471  0.03
Farrell 1958   57  0.4258  0.0066  0.0549  0.0579  0.0358  0.04
Ferenczy 1958   48  0.4720  0.0124  0.0836  0.2028  0.3025  0.24
Fliere 1977   33  0.5252  0.0056  0.0464  0.0484  0.0369  0.03
Fou 1978   78  0.2480  0.0083  0.0283  0.0277  0.0384  0.02
Francois 1956   36  0.5234  0.0039  0.0637  0.1843  0.1039  0.13
Friedman 1923   60  0.4012  0.018  0.1013  0.443  0.584  0.51
Friedman 1923b   58  0.4133  0.007  0.0811  0.453  0.583  0.51
Friedman 1930   52  0.4419  0.0113  0.0915  0.445  0.487  0.46
Garcia 2007   55  0.4361  0.0050  0.0746  0.0716  0.3632  0.16
Garcia 2007b   81  0.2267  0.0071  0.0472  0.0450  0.0568  0.04
Gierzod 1998   35  0.5224  0.0035  0.0631  0.2935  0.1827  0.23
Gornostaeva 1994   47  0.4839  0.0057  0.0468  0.0470  0.0379  0.03
Groot 1988   39  0.5050  0.0051  0.0559  0.0559  0.0466  0.04
Harasiewicz 1955   22  0.5616  0.0111  0.0719  0.4239  0.1426  0.24
Hatto 1993   77  0.2937  0.0049  0.0557  0.0559  0.0367  0.04
Hatto 1997   70  0.3481  0.0041  0.0544  0.1235  0.1340  0.12
Horowitz 1949   50  0.458  0.0155  0.0467  0.0474  0.0375  0.03
Indjic 1988   75  0.3165  0.0047  0.0548  0.0555  0.0461  0.04
Kapell 1951   25  0.5514  0.0122  0.0723  0.3730  0.3118  0.34
Kissin 1993   66  0.3829  0.0074  0.0462  0.0481  0.0276  0.03
Kushner 1989   27  0.5544  0.0043  0.0642  0.1380  0.0350  0.06
Luisada 1991   59  0.4056  0.0072  0.0471  0.0462  0.0454  0.04
Lushtak 2004   24  0.5676  0.0023  0.0825  0.3433  0.1923  0.25
Malcuzynski 1961   20  0.605  0.0212  0.1210  0.4542  0.1129  0.22
Magaloff 1978   67  0.3789  0.0070  0.0470  0.0483  0.0370  0.03
Magin 1975   62  0.4013  0.0152  0.0465  0.0447  0.0652  0.05
Michalowski 1933   31  0.5462  0.0014  0.0712  0.4418  0.4211  0.43
Milkina 1970   74  0.3282  0.0081  0.0378  0.0385  0.0373  0.03
Mohovich 1999   21  0.5860  0.0037  0.0634  0.2258  0.0443  0.09
Moravec 1969   45  0.4815  0.0153  0.0460  0.0445  0.0849  0.06
Morozova 2008   26  0.5568  0.0038  0.0738  0.1771  0.0348  0.07
Neighaus 1950   32  0.5477  0.0031  0.0830  0.3250  0.0538  0.13
Niedzielski 1931   63  0.3931  0.0064  0.0466  0.0456  0.0457  0.04
Ohlsson 1999   38  0.5036  0.0040  0.0539  0.1663  0.0444  0.08
Osinska 1989   41  0.4954  0.0061  0.0552  0.0577  0.0355  0.04
Pachmann 1927   83  0.2147  0.0082  0.0285  0.0276  0.0385  0.02
Paderewski 1930   37  0.5225  0.0042  0.0441  0.1532  0.1533  0.15
Perlemuter 1992   13  0.6373  0.0032  0.0624  0.3536  0.1428  0.22
Pierdomenico 2008   53  0.4310  0.0168  0.0373  0.0364  0.0372  0.03
Poblocka 1999   49  0.4622  0.0025  0.0635  0.2238  0.1630  0.19
Rabcewiczowa 1932   9  0.6441  0.0015  0.077  0.465  0.495  0.47
Rachmaninoff 1923   17  0.626  0.024  0.124  0.5111  0.3810  0.44
Rangell 2001   69  0.3671  0.0075  0.0556  0.0582  0.0280  0.03
Richter 1976   65  0.3870  0.0065  0.0555  0.0564  0.0460  0.04
Rosen 1989   54  0.4363  0.0058  0.0551  0.0574  0.0364  0.04
Rosenthal 1930   43  0.4974  0.0044  0.0643  0.1238  0.1834  0.15
Rosenthal 1931   82  0.2190  0.0084  0.0284  0.0286  0.0286  0.02
Rosenthal 1931b   86  0.1786  0.0085  0.0381  0.0386  0.0288  0.02
Rosenthal 1931c   73  0.3283  0.0069  0.0374  0.0372  0.0381  0.03
Rosenthal 1931d   85  0.1887  0.0087  0.0286  0.0289  0.0191  0.01
Rossi 2007   68  0.3748  0.0062  0.0469  0.0445  0.0651  0.05
Rubinstein 1939   87  0.0059  0.0091  0.0191  0.0188  0.0290  0.01
Rubinstein 1952   80  0.2385  0.0090  0.0287  0.0281  0.0389  0.02
Rubinstein 1966   71  0.3449  0.0076  0.0376  0.0375  0.0378  0.03
Schilhawsky 1960   23  0.5675  0.0028  0.0628  0.3232  0.2322  0.27
Shebanova 2002   61  0.403  0.0367  0.0647  0.0664  0.0453  0.05
Smith 1975   19  0.617  0.0230  0.1027  0.3348  0.0536  0.13
Sokolov 2002   10  0.6451  0.0019  0.0817  0.4328  0.3416  0.38
Sztompka 1959   4  0.682  0.132  0.312  0.547  0.512  0.52
Tomsic 1995   28  0.5438  0.0036  0.0633  0.2564  0.0442  0.10
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.871  0.541  0.541  0.741  0.721  0.73
Wasowski 1980   46  0.4826  0.0045  0.0545  0.1169  0.0447  0.07
Zak 1937   44  0.4864  0.0059  0.0463  0.0462  0.0559  0.04
Zak 1951   42  0.4935  0.0054  0.0461  0.0476  0.0374  0.03
Average   7  0.6718  0.0117  0.088  0.4648  0.0435  0.14
Random 1   90  0.0040  0.0088  0.0288  0.0221  0.3145  0.08
Random 2   89  0.0055  0.0079  0.0380  0.039  0.3941  0.11
Random 3   88  0.0091  0.0078  0.0379  0.0329  0.2146  0.08

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).