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  0.5340  0.0023  0.0519  0.3235  0.1428  0.21
Anderszewski 2003   70  0.3471  0.0062  0.0552  0.0584  0.0281  0.03
Ashkenazy 1981   11  0.567  0.0110  0.157  0.5020  0.3811  0.44
Bacha 2000   78  0.2843  0.0075  0.0379  0.0373  0.0376  0.03
Badura 1965   17  0.5358  0.0018  0.0718  0.338  0.4816  0.40
Barbosa 1983   18  0.5212  0.0124  0.0628  0.2227  0.3823  0.29
Biret 1990   51  0.4335  0.0063  0.0548  0.0567  0.0475  0.04
Blet 2003   7  0.5765  0.0016  0.1015  0.4012  0.4414  0.42
Block 1995   63  0.3719  0.0031  0.0641  0.1166  0.0357  0.06
Blumental 1952   27  0.4936  0.0029  0.0530  0.2110  0.4422  0.30
Boshniakovich 1969   34  0.4744  0.0027  0.0540  0.1139  0.1635  0.13
Brailowsky 1960   79  0.2755  0.0081  0.0283  0.0275  0.0477  0.03
Bunin 1987   6  0.5739  0.0012  0.169  0.4911  0.469  0.47
Bunin 1987b   4  0.5849  0.0011  0.138  0.4911  0.468  0.47
Chiu 1999   46  0.4456  0.0050  0.0475  0.0465  0.0464  0.04
Cohen 1997   87  0.0485  0.0086  0.0286  0.0280  0.0386  0.02
Cortot 1951   25  0.4923  0.0022  0.0621  0.3012  0.4618  0.37
Csalog 1996   82  0.2338  0.0080  0.0469  0.0474  0.0380  0.03
Czerny 1949   12  0.5459  0.0025  0.0723  0.2626  0.3721  0.31
Czerny 1990   2  0.6520  0.004  0.203  0.5813  0.497  0.53
Duchoud 2007   14  0.5361  0.0017  0.0817  0.3924  0.4115  0.40
Ezaki 2006   22  0.5151  0.0035  0.0629  0.2243  0.0834  0.13
Falvay 1989   62  0.3886  0.0072  0.0476  0.0473  0.0465  0.04
Farrell 1958   66  0.3688  0.0071  0.0646  0.0684  0.0366  0.04
Ferenczy 1958   68  0.3677  0.0051  0.0477  0.0432  0.2046  0.09
Fliere 1977   15  0.5324  0.0032  0.0532  0.1952  0.0637  0.11
Fou 1978   74  0.3066  0.0076  0.0378  0.0380  0.0379  0.03
Francois 1956   47  0.4353  0.0054  0.0555  0.0543  0.1056  0.07
Friedman 1923   53  0.4216  0.019  0.1712  0.473  0.645  0.55
Friedman 1923b   48  0.4327  0.008  0.1510  0.483  0.674  0.57
Friedman 1930   43  0.445  0.037  0.126  0.506  0.566  0.53
Garcia 2007   61  0.3817  0.0060  0.0557  0.056  0.6430  0.18
Garcia 2007b   75  0.2931  0.0070  0.0468  0.0424  0.2939  0.11
Gierzod 1998   57  0.4289  0.0045  0.0561  0.0538  0.1350  0.08
Gornostaeva 1994   56  0.4268  0.0057  0.0551  0.0558  0.0473  0.04
Groot 1988   28  0.4922  0.0040  0.0634  0.1844  0.1133  0.14
Harasiewicz 1955   13  0.5414  0.016  0.1414  0.4324  0.2720  0.34
Hatto 1993   69  0.3515  0.0147  0.0472  0.0433  0.2048  0.09
Hatto 1997   71  0.3482  0.0048  0.0467  0.0434  0.1549  0.08
Horowitz 1949   42  0.4410  0.0146  0.0563  0.0547  0.0560  0.05
Indjic 1988   67  0.3621  0.0044  0.0544  0.0930  0.2332  0.14
Kapell 1951   19  0.5225  0.0013  0.1116  0.3929  0.3617  0.37
Kissin 1993   55  0.4211  0.0165  0.0647  0.0668  0.0461  0.05
Kushner 1989   21  0.5154  0.0041  0.0538  0.1457  0.0454  0.07
Luisada 1991   52  0.438  0.0166  0.0562  0.0577  0.0362  0.04
Lushtak 2004   37  0.4672  0.0033  0.0525  0.2537  0.1729  0.21
Malcuzynski 1961   5  0.576  0.025  0.125  0.5226  0.3413  0.42
Magaloff 1978   64  0.3773  0.0067  0.0471  0.0482  0.0378  0.03
Magin 1975   59  0.4045  0.0030  0.0543  0.1050  0.0553  0.07
Michalowski 1933   26  0.4946  0.0015  0.1411  0.477  0.4610  0.46
Milkina 1970   73  0.3278  0.0077  0.0470  0.0450  0.0567  0.04
Mohovich 1999   32  0.4841  0.0053  0.0565  0.0568  0.0472  0.04
Moravec 1969   40  0.4547  0.0049  0.0559  0.0541  0.1151  0.07
Morozova 2008   20  0.5248  0.0028  0.0627  0.2352  0.0538  0.11
Neighaus 1950   29  0.4964  0.0026  0.0622  0.2652  0.0636  0.12
Niedzielski 1931   58  0.4128  0.0061  0.0564  0.0532  0.1543  0.09
Ohlsson 1999   36  0.4613  0.0137  0.0637  0.1652  0.0545  0.09
Osinska 1989   54  0.4252  0.0068  0.0473  0.0467  0.0463  0.04
Pachmann 1927   77  0.2850  0.0079  0.0556  0.0575  0.0369  0.04
Paderewski 1930   35  0.4762  0.0043  0.0639  0.1226  0.2231  0.16
Perlemuter 1992   10  0.5670  0.0019  0.0920  0.3121  0.3919  0.35
Pierdomenico 2008   45  0.449  0.0156  0.0550  0.0537  0.1842  0.09
Poblocka 1999   44  0.4434  0.0021  0.0824  0.2539  0.1727  0.21
Rabcewiczowa 1932   23  0.5037  0.0034  0.0635  0.1819  0.4524  0.28
Rachmaninoff 1923   8  0.574  0.043  0.214  0.534  0.613  0.57
Rangell 2001   65  0.3760  0.0073  0.0560  0.0574  0.0374  0.04
Richter 1976   49  0.4332  0.0052  0.0549  0.0553  0.0468  0.04
Rosen 1989   50  0.4357  0.0055  0.0554  0.0552  0.0471  0.04
Rosenthal 1930   60  0.4083  0.0064  0.0645  0.0640  0.1347  0.09
Rosenthal 1931   83  0.1774  0.0083  0.0380  0.0384  0.0283  0.02
Rosenthal 1931b   84  0.1575  0.0082  0.0284  0.0277  0.0388  0.02
Rosenthal 1931c   80  0.2679  0.0074  0.0381  0.0367  0.0382  0.03
Rosenthal 1931d   85  0.1590  0.0084  0.0285  0.0285  0.0287  0.02
Rossi 2007   76  0.2987  0.0069  0.0474  0.0427  0.2241  0.09
Rubinstein 1939   86  0.0569  0.0090  0.0190  0.0188  0.0290  0.01
Rubinstein 1952   81  0.2481  0.0085  0.0282  0.0285  0.0289  0.02
Rubinstein 1966   72  0.3363  0.0078  0.0566  0.0582  0.0370  0.04
Schilhawsky 1960   41  0.4576  0.0036  0.0526  0.2526  0.3025  0.27
Shebanova 2002   33  0.473  0.0620  0.0636  0.1648  0.0640  0.10
Smith 1975   24  0.5033  0.0042  0.0542  0.1168  0.0452  0.07
Sokolov 2002   9  0.5730  0.0014  0.1313  0.4719  0.3912  0.43
Sztompka 1959   3  0.642  0.132  0.322  0.652  0.582  0.61
Tomsic 1995   30  0.4929  0.0039  0.0731  0.1960  0.0444  0.09
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.761  0.531  0.521  0.771  0.751  0.76
Wasowski 1980   31  0.4918  0.0038  0.0733  0.1917  0.3426  0.25
Zak 1937   38  0.4642  0.0059  0.0558  0.0557  0.0558  0.05
Zak 1951   39  0.4567  0.0058  0.0553  0.0560  0.0559  0.05
Random 1   88  -0.0126  0.0089  0.0287  0.0226  0.2255  0.07
Random 2   90  -0.0184  0.0087  0.0188  0.0154  0.0584  0.02
Random 3   89  -0.0180  0.0088  0.0189  0.0147  0.0585  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).