Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.5225  0.0024  0.0826  0.2828  0.1831  0.22
Anderszewski 2003   68  0.3375  0.0064  0.0469  0.0452  0.0379  0.03
Ashkenazy 1981   38  0.4217  0.0126  0.0824  0.3055  0.0542  0.12
Bacha 2000   86  0.1233  0.0084  0.0285  0.0286  0.0284  0.02
Badura 1965   50  0.4071  0.0053  0.0462  0.0441  0.1449  0.07
Barbosa 1983   41  0.4135  0.0062  0.0471  0.0476  0.0467  0.04
Biret 1990   39  0.4237  0.0046  0.0548  0.0555  0.0472  0.04
Blet 2003   24  0.4739  0.0039  0.0737  0.1543  0.1041  0.12
Block 1995   56  0.3860  0.0054  0.0465  0.0445  0.0569  0.04
Blumental 1952   81  0.2440  0.0069  0.0381  0.0346  0.0670  0.04
Boshniakovich 1969   62  0.3555  0.0072  0.0464  0.0469  0.0382  0.03
Brailowsky 1960   53  0.3950  0.0071  0.0375  0.0369  0.0475  0.03
Bunin 1987   2  0.636  0.064  0.246  0.544  0.578  0.55
Bunin 1987b   1  0.633  0.163  0.195  0.554  0.577  0.56
Chiu 1999   37  0.438  0.0312  0.0920  0.3820  0.4414  0.41
Cohen 1997   87  0.0053  0.0089  0.0188  0.0186  0.0290  0.01
Cortot 1951   63  0.3576  0.0067  0.0470  0.0441  0.1451  0.07
Csalog 1996   85  0.1648  0.0085  0.0286  0.0279  0.0285  0.02
Czerny 1949   15  0.5251  0.0021  0.0722  0.3525  0.3716  0.36
Czerny 1990   3  0.612  0.182  0.242  0.684  0.612  0.64
Duchoud 2007   9  0.5523  0.0019  0.1113  0.4525  0.4013  0.42
Ezaki 2006   18  0.5061  0.0017  0.1025  0.2838  0.1134  0.18
Falvay 1989   45  0.4156  0.0056  0.0551  0.0545  0.0752  0.06
Farrell 1958   28  0.4616  0.0133  0.0431  0.205  0.5221  0.32
Ferenczy 1958   80  0.2647  0.0082  0.0459  0.0459  0.0468  0.04
Fliere 1977   10  0.5538  0.0013  0.1011  0.4831  0.2318  0.33
Fou 1978   55  0.3927  0.0060  0.0456  0.0462  0.0464  0.04
Francois 1956   11  0.5552  0.0022  0.0823  0.3422  0.3320  0.33
Friedman 1923   49  0.4010  0.0216  0.1116  0.394  0.6310  0.50
Friedman 1923b   44  0.4124  0.0015  0.0915  0.424  0.679  0.53
Friedman 1930   29  0.4626  0.008  0.117  0.523  0.625  0.57
Garcia 2007   78  0.2767  0.0070  0.0378  0.0338  0.1455  0.06
Garcia 2007b   84  0.2182  0.0076  0.0380  0.0348  0.0574  0.04
Gierzod 1998   76  0.2768  0.0068  0.0383  0.0374  0.0381  0.03
Gornostaeva 1994   22  0.4831  0.0028  0.0929  0.2638  0.1732  0.21
Groot 1988   13  0.5318  0.0123  0.1118  0.3928  0.2917  0.34
Harasiewicz 1955   21  0.4836  0.0020  0.1119  0.3928  0.2422  0.31
Hatto 1993   75  0.2762  0.0063  0.0373  0.0349  0.0573  0.04
Hatto 1997   66  0.3357  0.0051  0.0645  0.0635  0.1347  0.09
Horowitz 1949   5  0.601  0.231  0.231  0.771  0.721  0.74
Indjic 1988   71  0.3021  0.0059  0.0460  0.0444  0.0954  0.06
Kapell 1951   27  0.4728  0.0044  0.0444  0.0938  0.1540  0.12
Kissin 1993   60  0.3645  0.0061  0.0458  0.0458  0.0566  0.04
Kushner 1989   30  0.4669  0.0037  0.0635  0.1846  0.0644  0.10
Luisada 1991   33  0.4563  0.0045  0.0547  0.0547  0.0656  0.05
Lushtak 2004   48  0.4072  0.0041  0.0542  0.1152  0.0550  0.07
Malcuzynski 1961   12  0.5319  0.0018  0.0914  0.4333  0.2519  0.33
Magaloff 1978   25  0.4764  0.0025  0.0821  0.3641  0.1329  0.22
Magin 1975   47  0.4177  0.0043  0.0543  0.1034  0.1937  0.14
Michalowski 1933   70  0.3183  0.0052  0.0549  0.0558  0.0558  0.05
Milkina 1970   65  0.3487  0.0075  0.0457  0.0462  0.0465  0.04
Mohovich 1999   42  0.4158  0.0050  0.0454  0.0457  0.0571  0.04
Moravec 1969   19  0.507  0.0311  0.0817  0.3916  0.3815  0.38
Morozova 2008   4  0.604  0.075  0.303  0.631  0.573  0.60
Neighaus 1950   20  0.4912  0.0114  0.0912  0.4735  0.1923  0.30
Niedzielski 1931   32  0.4529  0.0040  0.0540  0.127  0.4628  0.23
Ohlsson 1999   23  0.4811  0.0238  0.0633  0.1951  0.0545  0.10
Osinska 1989   67  0.3378  0.0074  0.0461  0.0473  0.0460  0.04
Pachmann 1927   74  0.2884  0.0078  0.0466  0.0470  0.0378  0.03
Paderewski 1930   72  0.2959  0.0080  0.0382  0.0367  0.0377  0.03
Perlemuter 1992   16  0.529  0.037  0.1310  0.4915  0.4711  0.48
Pierdomenico 2008   64  0.3543  0.0066  0.0468  0.0443  0.1053  0.06
Poblocka 1999   57  0.3773  0.0058  0.0467  0.0455  0.0561  0.04
Rabcewiczowa 1932   54  0.3979  0.0065  0.0377  0.0346  0.0663  0.04
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   69  0.3249  0.0077  0.0472  0.0470  0.0383  0.03
Richter 1976   46  0.4170  0.0055  0.0463  0.0439  0.1548  0.08
Rosen 1989   52  0.4054  0.0027  0.0739  0.1444  0.0943  0.11
Rosenthal 1930   8  0.5515  0.0110  0.109  0.515  0.674  0.58
Rosenthal 1931   61  0.3634  0.0048  0.0546  0.0521  0.3638  0.13
Rosenthal 1931b   58  0.3744  0.0042  0.0641  0.1116  0.4233  0.21
Rosenthal 1931c   40  0.4220  0.0034  0.0436  0.1720  0.3726  0.25
Rosenthal 1931d   51  0.4046  0.0047  0.0455  0.0411  0.4039  0.13
Rossi 2007   79  0.2680  0.0073  0.0376  0.0324  0.2746  0.09
Rubinstein 1939   82  0.2422  0.0083  0.0379  0.0367  0.0476  0.03
Rubinstein 1952   83  0.2266  0.0086  0.0384  0.0383  0.0288  0.02
Rubinstein 1966   73  0.2941  0.0081  0.0374  0.0378  0.0380  0.03
Schilhawsky 1960   34  0.4585  0.0036  0.0630  0.2222  0.3625  0.28
Shebanova 2002   77  0.2732  0.0079  0.0550  0.0568  0.0559  0.05
Smith 1975   43  0.4165  0.0049  0.0553  0.0570  0.0462  0.04
Sokolov 2002   7  0.5630  0.009  0.098  0.5213  0.4112  0.46
Sztompka 1959   26  0.4713  0.0130  0.0627  0.2730  0.2924  0.28
Tomsic 1995   59  0.3642  0.0057  0.0552  0.0545  0.0557  0.05
Uninsky 1932   6  0.575  0.076  0.164  0.614  0.536  0.57
Uninsky 1971   36  0.4481  0.0032  0.0538  0.1441  0.1836  0.16
Wasowski 1980   17  0.5014  0.0131  0.0634  0.1822  0.3327  0.24
Zak 1937   35  0.4588  0.0035  0.0532  0.2039  0.1635  0.18
Zak 1951   31  0.4689  0.0029  0.0628  0.2741  0.1830  0.22
Random 1   89  -0.0586  0.0088  0.0189  0.0162  0.0387  0.02
Random 2   88  -0.0190  0.0087  0.0287  0.0264  0.0386  0.02
Random 3   90  -0.0774  0.0090  0.0190  0.0184  0.0289  0.01

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).