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  0.6234  0.0025  0.0925  0.2633  0.1926  0.22
Anderszewski 2003   49  0.4881  0.0051  0.0455  0.0438  0.1550  0.08
Ashkenazy 1981   61  0.4426  0.0139  0.0538  0.1462  0.0357  0.06
Bacha 2000   85  0.2173  0.0084  0.0378  0.0373  0.0372  0.03
Badura 1965   39  0.5121  0.0146  0.0451  0.0433  0.2247  0.09
Barbosa 1983   42  0.4960  0.0068  0.0368  0.0358  0.0479  0.03
Biret 1990   37  0.5245  0.0050  0.0462  0.0460  0.0471  0.04
Blet 2003   24  0.5740  0.0034  0.0537  0.1444  0.0941  0.11
Block 1995   63  0.4367  0.0071  0.0456  0.0460  0.0468  0.04
Blumental 1952   81  0.2858  0.0073  0.0450  0.0460  0.0470  0.04
Boshniakovich 1969   57  0.4543  0.0036  0.0545  0.0839  0.1443  0.11
Brailowsky 1960   53  0.4741  0.0076  0.0546  0.0559  0.0463  0.04
Bunin 1987   4  0.684  0.095  0.1112  0.3815  0.439  0.40
Bunin 1987b   5  0.688  0.046  0.1513  0.3815  0.437  0.40
Chiu 1999   59  0.4510  0.0235  0.0435  0.1532  0.2134  0.18
Cohen 1997   88  -0.1061  0.0091  0.0191  0.0187  0.0291  0.01
Cortot 1951   52  0.4768  0.0066  0.0460  0.0436  0.2048  0.09
Csalog 1996   87  0.1377  0.0087  0.0286  0.0283  0.0285  0.02
Czerny 1949   10  0.6482  0.0017  0.089  0.4022  0.3711  0.38
Czerny 1990   3  0.681  0.151  0.151  0.6110  0.422  0.51
Duchoud 2007   11  0.6413  0.0116  0.0717  0.3430  0.2918  0.31
Ezaki 2006   8  0.6437  0.009  0.1016  0.3535  0.1723  0.24
Falvay 1989   41  0.5051  0.0042  0.0442  0.1064  0.0455  0.06
Farrell 1958   43  0.4928  0.0154  0.0376  0.0325  0.2349  0.08
Ferenczy 1958   74  0.3546  0.0077  0.0383  0.0352  0.0481  0.03
Fliere 1977   13  0.6342  0.0014  0.0718  0.3341  0.1327  0.21
Fou 1978   58  0.4530  0.0169  0.0459  0.0458  0.0565  0.04
Francois 1956   7  0.6529  0.0124  0.0721  0.2921  0.2920  0.29
Friedman 1923   73  0.3511  0.0233  0.0734  0.166  0.5121  0.29
Friedman 1923b   71  0.3739  0.0032  0.0633  0.176  0.5019  0.29
Friedman 1930   51  0.4812  0.0210  0.0922  0.287  0.4612  0.36
Garcia 2007   70  0.3775  0.0059  0.0458  0.0424  0.2942  0.11
Garcia 2007b   86  0.1886  0.0078  0.0374  0.0361  0.0484  0.03
Gierzod 1998   65  0.4274  0.0065  0.0371  0.0360  0.0482  0.03
Gornostaeva 1994   26  0.5732  0.0131  0.0630  0.2038  0.1735  0.18
Groot 1988   20  0.6023  0.0127  0.0627  0.2433  0.1929  0.21
Harasiewicz 1955   22  0.5817  0.0112  0.0710  0.3925  0.2816  0.33
Hatto 1993   79  0.3189  0.0058  0.0381  0.0338  0.1458  0.06
Hatto 1997   68  0.3978  0.0048  0.0452  0.0428  0.2046  0.09
Horowitz 1949   14  0.633  0.094  0.122  0.571  0.611  0.59
Indjic 1988   76  0.3457  0.0056  0.0380  0.0336  0.1456  0.06
Kapell 1951   32  0.5348  0.0060  0.0466  0.0455  0.0466  0.04
Kissin 1993   62  0.4359  0.0072  0.0547  0.0556  0.0467  0.04
Kushner 1989   23  0.5871  0.0028  0.0626  0.2440  0.1730  0.20
Luisada 1991   40  0.5069  0.0057  0.0372  0.0349  0.0562  0.04
Lushtak 2004   33  0.5387  0.0022  0.0723  0.2846  0.0739  0.14
Malcuzynski 1961   9  0.6431  0.0111  0.088  0.4026  0.2815  0.33
Magaloff 1978   30  0.5420  0.0130  0.0628  0.2236  0.1732  0.19
Magin 1975   35  0.5236  0.0029  0.0529  0.2016  0.2725  0.23
Michalowski 1933   78  0.3155  0.0052  0.0464  0.0449  0.0761  0.05
Milkina 1970   66  0.4270  0.0074  0.0377  0.0367  0.0476  0.03
Mohovich 1999   27  0.5754  0.0026  0.0624  0.2733  0.1531  0.20
Moravec 1969   36  0.527  0.0415  0.0731  0.1925  0.3024  0.24
Morozova 2008   1  0.702  0.132  0.154  0.532  0.473  0.50
Neighaus 1950   17  0.616  0.067  0.116  0.4422  0.3510  0.39
Niedzielski 1931   46  0.4938  0.0043  0.0439  0.118  0.4128  0.21
Ohlsson 1999   34  0.5314  0.0147  0.0454  0.0449  0.0660  0.05
Osinska 1989   60  0.4456  0.0075  0.0453  0.0478  0.0373  0.03
Pachmann 1927   80  0.2944  0.0079  0.0379  0.0366  0.0478  0.03
Paderewski 1930   77  0.3352  0.0082  0.0384  0.0362  0.0377  0.03
Perlemuter 1992   12  0.6315  0.0113  0.107  0.429  0.436  0.42
Pierdomenico 2008   56  0.4647  0.0063  0.0449  0.0438  0.1452  0.07
Poblocka 1999   67  0.4090  0.0064  0.0382  0.0358  0.0474  0.03
Rabcewiczowa 1932   48  0.4953  0.0067  0.0465  0.0451  0.0564  0.04
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   72  0.3672  0.0080  0.0457  0.0473  0.0383  0.03
Richter 1976   47  0.4976  0.0053  0.0373  0.0339  0.1059  0.05
Rosen 1989   64  0.4365  0.0070  0.0448  0.0451  0.0469  0.04
Rosenthal 1930   19  0.6035  0.0020  0.0719  0.329  0.518  0.40
Rosenthal 1931   44  0.4949  0.0049  0.0463  0.0423  0.3440  0.12
Rosenthal 1931b   55  0.4619  0.0140  0.0543  0.1024  0.2836  0.17
Rosenthal 1931c   38  0.5166  0.0038  0.0636  0.1431  0.2137  0.17
Rosenthal 1931d   54  0.4725  0.0155  0.0375  0.0332  0.1654  0.07
Rossi 2007   69  0.3791  0.0062  0.0370  0.0324  0.1851  0.07
Rubinstein 1939   84  0.2218  0.0185  0.0285  0.0258  0.0575  0.03
Rubinstein 1952   83  0.2679  0.0086  0.0287  0.0275  0.0390  0.02
Rubinstein 1966   75  0.3450  0.0081  0.0369  0.0369  0.0480  0.03
Schilhawsky 1960   21  0.5980  0.0021  0.0715  0.3523  0.2917  0.32
Shebanova 2002   82  0.2663  0.0083  0.0367  0.0387  0.0286  0.02
Smith 1975   29  0.5488  0.0037  0.0432  0.1847  0.0545  0.09
Sokolov 2002   6  0.6816  0.018  0.145  0.4916  0.434  0.46
Sztompka 1959   50  0.4822  0.0161  0.0461  0.0445  0.1353  0.07
Tomsic 1995   45  0.4933  0.0041  0.0440  0.1143  0.0944  0.10
Uninsky 1932   16  0.629  0.0218  0.0711  0.384  0.515  0.44
Uninsky 1971   31  0.5483  0.0045  0.0544  0.0934  0.2738  0.16
Wasowski 1980   28  0.5727  0.0144  0.0541  0.1017  0.3133  0.18
Zak 1937   25  0.5764  0.0023  0.0720  0.3130  0.2522  0.28
Zak 1951   18  0.6124  0.0119  0.0614  0.3623  0.3314  0.34
Average   2  0.695  0.083  0.163  0.5432  0.2313  0.35
Random 1   91  -0.1484  0.0090  0.0190  0.0156  0.0488  0.02
Random 2   90  -0.1185  0.0089  0.0188  0.0161  0.0387  0.02
Random 3   89  -0.1162  0.0088  0.0189  0.0171  0.0389  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).