Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.3747  0.0025  0.1524  0.4627  0.4122  0.43
Anderszewski 2003   87  0.0072  0.0089  0.0289  0.0287  0.0289  0.02
Ashkenazy 1981   16  0.4435  0.0018  0.1519  0.5938  0.3720  0.47
Bacha 2000   89  -0.0220  0.0090  0.0288  0.0284  0.0288  0.02
Badura 1965   60  0.2549  0.0056  0.0371  0.0346  0.0763  0.05
Barbosa 1983   41  0.3028  0.0053  0.0459  0.0449  0.0661  0.05
Biret 1990   42  0.3041  0.0043  0.0643  0.1433  0.4431  0.25
Blet 2003   24  0.3936  0.0029  0.0829  0.3641  0.2729  0.31
Block 1995   58  0.2554  0.0050  0.0553  0.0572  0.0475  0.04
Blumental 1952   82  0.1438  0.0072  0.0460  0.0462  0.0576  0.04
Boshniakovich 1969   79  0.1588  0.0064  0.0380  0.0379  0.0385  0.03
Brailowsky 1960   64  0.2373  0.0057  0.0466  0.0446  0.1152  0.07
Bunin 1987   2  0.588  0.024  0.254  0.812  0.782  0.79
Bunin 1987b   1  0.583  0.183  0.262  0.832  0.791  0.81
Chiu 1999   17  0.447  0.0217  0.1417  0.6424  0.4917  0.56
Cohen 1997   71  0.1933  0.0075  0.0386  0.0361  0.0487  0.03
Cortot 1951   76  0.1766  0.0080  0.0464  0.0454  0.0577  0.04
Csalog 1996   36  0.3111  0.0126  0.1228  0.4126  0.4024  0.40
Czerny 1949   59  0.2564  0.0061  0.0465  0.0437  0.4740  0.14
Czerny 1990   6  0.532  0.252  0.265  0.7911  0.784  0.78
Duchoud 2007   15  0.4613  0.0014  0.1511  0.706  0.6710  0.68
Ezaki 2006   73  0.1861  0.0076  0.0374  0.0363  0.0479  0.03
Falvay 1989   38  0.3167  0.0044  0.0742  0.1453  0.0645  0.09
Farrell 1958   13  0.479  0.0213  0.1514  0.681  0.758  0.71
Ferenczy 1958   84  0.0762  0.0085  0.0385  0.0356  0.0674  0.04
Fliere 1977   14  0.4621  0.0016  0.1415  0.6835  0.4715  0.57
Fou 1978   34  0.3180  0.0040  0.0739  0.1855  0.0546  0.09
Francois 1956   56  0.2568  0.0062  0.0468  0.0442  0.2049  0.09
Friedman 1923   12  0.4724  0.0012  0.1412  0.7017  0.6712  0.68
Friedman 1923b   10  0.4812  0.019  0.1710  0.7017  0.6711  0.68
Friedman 1930   19  0.4310  0.0120  0.2118  0.6027  0.5516  0.57
Garcia 2007   39  0.3058  0.0042  0.0544  0.1357  0.0551  0.08
Garcia 2007b   35  0.3152  0.0032  0.0936  0.2139  0.2334  0.22
Gierzod 1998   90  -0.0555  0.0087  0.0287  0.0282  0.0290  0.02
Gornostaeva 1994   61  0.2430  0.0046  0.0648  0.0644  0.1744  0.10
Groot 1988   21  0.4225  0.0024  0.1521  0.5546  0.0932  0.22
Harasiewicz 1955   37  0.3143  0.0038  0.0537  0.2173  0.0448  0.09
Hatto 1993   52  0.2645  0.0068  0.0372  0.0350  0.0966  0.05
Hatto 1997   48  0.2844  0.0066  0.0369  0.0363  0.0483  0.03
Horowitz 1949   7  0.5115  0.008  0.188  0.749  0.736  0.73
Indjic 1988   50  0.2718  0.0069  0.0550  0.0566  0.0660  0.05
Kapell 1951   27  0.3719  0.0030  0.0930  0.3642  0.1235  0.21
Kissin 1993   63  0.2426  0.0055  0.0370  0.0354  0.0759  0.05
Kushner 1989   44  0.2963  0.0049  0.0556  0.0561  0.0556  0.05
Luisada 1991   18  0.4342  0.0023  0.1326  0.4639  0.2727  0.35
Lushtak 2004   75  0.1781  0.0079  0.0382  0.0380  0.0384  0.03
Malcuzynski 1961   49  0.2727  0.0059  0.0378  0.0362  0.0569  0.04
Magaloff 1978   43  0.2969  0.0037  0.0835  0.2348  0.0741  0.13
Magin 1975   72  0.1982  0.0078  0.0373  0.0378  0.0481  0.03
Michalowski 1933   33  0.3383  0.0036  0.0934  0.2845  0.1636  0.21
Milkina 1970   69  0.1989  0.0073  0.0555  0.0553  0.0657  0.05
Mohovich 1999   81  0.1465  0.0083  0.0458  0.0478  0.0386  0.03
Moravec 1969   11  0.4823  0.007  0.207  0.745  0.707  0.72
Morozova 2008   22  0.4229  0.0019  0.1620  0.5518  0.4319  0.49
Neighaus 1950   46  0.2884  0.0045  0.0745  0.1354  0.0647  0.09
Niedzielski 1931   23  0.4031  0.0028  0.1525  0.4632  0.2528  0.34
Ohlsson 1999   28  0.3760  0.0034  0.0632  0.3039  0.1337  0.20
Osinska 1989   77  0.1690  0.0048  0.0747  0.0759  0.0554  0.06
Pachmann 1927   53  0.2685  0.0051  0.0554  0.0568  0.0558  0.05
Paderewski 1930   70  0.1986  0.0081  0.0461  0.0473  0.0472  0.04
Perlemuter 1992   30  0.355  0.0421  0.1523  0.5032  0.4818  0.49
Pierdomenico 2008   40  0.3075  0.0041  0.0540  0.1640  0.1738  0.16
Poblocka 1999   20  0.4234  0.0015  0.1613  0.6810  0.5813  0.63
Rabcewiczowa 1932   51  0.2687  0.0060  0.0376  0.0338  0.2250  0.08
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   47  0.2870  0.0054  0.0551  0.0550  0.0665  0.05
Richter 1976   25  0.3750  0.0027  0.1127  0.4142  0.3625  0.38
Rosen 1989   29  0.3516  0.0022  0.1622  0.5033  0.3821  0.44
Rosenthal 1930   8  0.5032  0.0010  0.189  0.731  0.833  0.78
Rosenthal 1931   83  0.1422  0.0070  0.0552  0.0536  0.4039  0.14
Rosenthal 1931b   68  0.2051  0.0067  0.0377  0.0332  0.4443  0.11
Rosenthal 1931c   65  0.2314  0.0033  0.0841  0.1634  0.3033  0.22
Rosenthal 1931d   55  0.2540  0.0031  0.0831  0.3012  0.5623  0.41
Rossi 2007   86  0.0476  0.0074  0.0379  0.0364  0.0480  0.03
Rubinstein 1939   32  0.3359  0.0035  0.0833  0.3028  0.2430  0.27
Rubinstein 1952   78  0.1691  0.0082  0.0557  0.0580  0.0378  0.04
Rubinstein 1966   45  0.2971  0.0052  0.0549  0.0561  0.0562  0.05
Schilhawsky 1960   67  0.2077  0.0065  0.0381  0.0357  0.0573  0.04
Shebanova 2002   31  0.3556  0.0039  0.0638  0.1955  0.0842  0.12
Smith 1975   80  0.1574  0.0084  0.0384  0.0364  0.0567  0.04
Sokolov 2002   57  0.2539  0.0047  0.0846  0.0848  0.0555  0.06
Sztompka 1959   5  0.536  0.046  0.353  0.829  0.735  0.77
Tomsic 1995   74  0.1757  0.0071  0.0462  0.0459  0.0571  0.04
Uninsky 1932   4  0.551  0.271  0.266  0.7712  0.639  0.70
Uninsky 1971   62  0.2453  0.0058  0.0467  0.0474  0.0382  0.03
Wasowski 1980   9  0.4917  0.0011  0.1416  0.6723  0.5514  0.61
Zak 1937   54  0.2637  0.0063  0.0375  0.0361  0.0668  0.04
Zak 1951   66  0.2146  0.0077  0.0463  0.0463  0.0570  0.04
Average   3  0.574  0.085  0.341  0.8537  0.1526  0.36
Random 1   88  0.0078  0.0088  0.0290  0.0239  0.1464  0.05
Random 2   85  0.0448  0.0086  0.0383  0.0338  0.1653  0.07
Random 3   91  -0.0979  0.0091  0.0191  0.0188  0.0191  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).