Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.5225  0.0025  0.0827  0.2829  0.1832  0.22
Anderszewski 2003   69  0.3376  0.0065  0.0470  0.0453  0.0380  0.03
Ashkenazy 1981   39  0.4218  0.0127  0.0825  0.3056  0.0543  0.12
Bacha 2000   87  0.1231  0.0085  0.0286  0.0287  0.0285  0.02
Badura 1965   51  0.4070  0.0054  0.0463  0.0442  0.1450  0.07
Barbosa 1983   42  0.4135  0.0063  0.0472  0.0477  0.0468  0.04
Biret 1990   40  0.4236  0.0047  0.0549  0.0556  0.0473  0.04
Blet 2003   25  0.4738  0.0040  0.0738  0.1544  0.1042  0.12
Block 1995   57  0.3864  0.0055  0.0466  0.0446  0.0570  0.04
Blumental 1952   82  0.2441  0.0070  0.0382  0.0347  0.0671  0.04
Boshniakovich 1969   63  0.3560  0.0073  0.0465  0.0470  0.0383  0.03
Brailowsky 1960   54  0.3950  0.0072  0.0376  0.0370  0.0476  0.03
Bunin 1987   3  0.637  0.065  0.247  0.545  0.578  0.55
Bunin 1987b   2  0.633  0.124  0.196  0.555  0.577  0.56
Chiu 1999   38  0.439  0.0313  0.0921  0.3821  0.4415  0.41
Cohen 1997   88  0.0054  0.0090  0.0189  0.0187  0.0291  0.01
Cortot 1951   64  0.3577  0.0068  0.0471  0.0442  0.1452  0.07
Csalog 1996   86  0.1648  0.0086  0.0287  0.0280  0.0286  0.02
Czerny 1949   16  0.5251  0.0022  0.0723  0.3526  0.3717  0.36
Czerny 1990   4  0.614  0.093  0.243  0.685  0.612  0.64
Duchoud 2007   10  0.5524  0.0020  0.1114  0.4526  0.4014  0.42
Ezaki 2006   19  0.5065  0.0018  0.1026  0.2839  0.1135  0.18
Falvay 1989   46  0.4156  0.0057  0.0552  0.0546  0.0753  0.06
Farrell 1958   29  0.4616  0.0134  0.0432  0.206  0.5222  0.32
Ferenczy 1958   81  0.2647  0.0083  0.0460  0.0460  0.0469  0.04
Fliere 1977   11  0.5537  0.0014  0.1012  0.4832  0.2319  0.33
Fou 1978   56  0.3928  0.0061  0.0457  0.0463  0.0464  0.04
Francois 1956   12  0.5552  0.0023  0.0824  0.3423  0.3321  0.33
Friedman 1923   50  0.4011  0.0217  0.1017  0.394  0.6310  0.50
Friedman 1923b   45  0.4126  0.0016  0.0916  0.424  0.679  0.53
Friedman 1930   30  0.4632  0.009  0.118  0.524  0.625  0.57
Garcia 2007   79  0.2766  0.0071  0.0379  0.0339  0.1456  0.06
Garcia 2007b   85  0.2183  0.0077  0.0381  0.0349  0.0575  0.04
Gierzod 1998   77  0.2767  0.0069  0.0384  0.0375  0.0382  0.03
Gornostaeva 1994   23  0.4829  0.0029  0.0930  0.2639  0.1733  0.21
Groot 1988   14  0.5319  0.0124  0.1119  0.3929  0.2918  0.34
Harasiewicz 1955   22  0.4842  0.0021  0.1120  0.3929  0.2423  0.31
Hatto 1993   76  0.2761  0.0064  0.0374  0.0350  0.0574  0.04
Hatto 1997   67  0.3357  0.0052  0.0646  0.0636  0.1348  0.09
Horowitz 1949   6  0.602  0.182  0.231  0.771  0.721  0.74
Indjic 1988   72  0.3022  0.0060  0.0461  0.0445  0.0955  0.06
Kapell 1951   28  0.4727  0.0045  0.0445  0.0939  0.1541  0.12
Kissin 1993   61  0.3644  0.0062  0.0459  0.0459  0.0467  0.04
Kushner 1989   31  0.4668  0.0038  0.0536  0.1847  0.0645  0.10
Luisada 1991   34  0.4562  0.0046  0.0548  0.0548  0.0657  0.05
Lushtak 2004   49  0.4071  0.0042  0.0543  0.1153  0.0551  0.07
Malcuzynski 1961   13  0.5320  0.0019  0.0915  0.4334  0.2520  0.33
Magaloff 1978   26  0.4763  0.0026  0.0822  0.3642  0.1330  0.22
Magin 1975   48  0.4178  0.0044  0.0544  0.1035  0.1938  0.14
Michalowski 1933   71  0.3184  0.0053  0.0550  0.0559  0.0558  0.05
Milkina 1970   66  0.3488  0.0076  0.0458  0.0463  0.0465  0.04
Mohovich 1999   43  0.4158  0.0051  0.0455  0.0458  0.0572  0.04
Moravec 1969   20  0.508  0.0312  0.0818  0.3917  0.3816  0.38
Morozova 2008   5  0.606  0.066  0.294  0.632  0.573  0.60
Neighaus 1950   21  0.4913  0.0115  0.0913  0.4736  0.1924  0.30
Niedzielski 1931   33  0.4534  0.0041  0.0541  0.128  0.4629  0.23
Ohlsson 1999   24  0.4817  0.0139  0.0634  0.1952  0.0546  0.10
Osinska 1989   68  0.3379  0.0075  0.0462  0.0474  0.0460  0.04
Pachmann 1927   75  0.2885  0.0079  0.0467  0.0471  0.0379  0.03
Paderewski 1930   73  0.2959  0.0081  0.0383  0.0368  0.0378  0.03
Perlemuter 1992   17  0.5210  0.028  0.1311  0.4916  0.4711  0.48
Pierdomenico 2008   65  0.3543  0.0067  0.0469  0.0444  0.1054  0.06
Poblocka 1999   58  0.3772  0.0059  0.0468  0.0456  0.0561  0.04
Rabcewiczowa 1932   55  0.3980  0.0066  0.0378  0.0347  0.0663  0.04
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   70  0.3249  0.0078  0.0473  0.0471  0.0384  0.03
Richter 1976   47  0.4169  0.0056  0.0464  0.0440  0.1549  0.08
Rosen 1989   53  0.4053  0.0028  0.0740  0.1445  0.0944  0.11
Rosenthal 1930   9  0.5515  0.0111  0.0910  0.516  0.674  0.58
Rosenthal 1931   62  0.3633  0.0049  0.0547  0.0522  0.3639  0.13
Rosenthal 1931b   59  0.3745  0.0043  0.0642  0.1117  0.4234  0.21
Rosenthal 1931c   41  0.4221  0.0035  0.0437  0.1721  0.3727  0.25
Rosenthal 1931d   52  0.4046  0.0048  0.0456  0.0412  0.4040  0.13
Rossi 2007   80  0.2681  0.0074  0.0377  0.0325  0.2747  0.09
Rubinstein 1939   83  0.2423  0.0084  0.0380  0.0368  0.0477  0.03
Rubinstein 1952   84  0.2273  0.0087  0.0385  0.0384  0.0289  0.02
Rubinstein 1966   74  0.2940  0.0082  0.0375  0.0379  0.0381  0.03
Schilhawsky 1960   35  0.4586  0.0037  0.0631  0.2223  0.3626  0.28
Shebanova 2002   78  0.2730  0.0080  0.0551  0.0569  0.0559  0.05
Smith 1975   44  0.4174  0.0050  0.0454  0.0471  0.0462  0.04
Sokolov 2002   8  0.5655  0.0010  0.099  0.5214  0.4112  0.46
Sztompka 1959   27  0.4712  0.0131  0.0628  0.2731  0.2925  0.28
Tomsic 1995   60  0.3639  0.0058  0.0453  0.0446  0.0566  0.04
Uninsky 1932   7  0.575  0.067  0.165  0.615  0.536  0.57
Uninsky 1971   37  0.4482  0.0033  0.0539  0.1442  0.1837  0.16
Wasowski 1980   18  0.5014  0.0132  0.0635  0.1823  0.3328  0.24
Zak 1937   36  0.4589  0.0036  0.0533  0.2040  0.1636  0.18
Zak 1951   32  0.4690  0.0030  0.0629  0.2742  0.1831  0.22
Average   1  0.641  0.221  0.222  0.7033  0.2513  0.42
Random 1   90  -0.0587  0.0089  0.0190  0.0162  0.0388  0.02
Random 2   89  -0.0191  0.0088  0.0288  0.0265  0.0387  0.02
Random 3   91  -0.0775  0.0091  0.0191  0.0185  0.0290  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).