Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.809  0.022  0.202  0.6014  0.434  0.51
Anderszewski 2003   9  0.7521  0.0125  0.0826  0.2433  0.2330  0.23
Ashkenazy 1981   17  0.722  0.116  0.177  0.466  0.487  0.47
Bacha 2000   52  0.6357  0.0068  0.0461  0.0464  0.0474  0.04
Badura 1965   54  0.6340  0.0065  0.0466  0.0457  0.0579  0.04
Barbosa 1983   78  0.4953  0.0082  0.0382  0.0369  0.0484  0.03
Biret 1990   28  0.7071  0.0048  0.0376  0.0338  0.1466  0.06
Blet 2003   74  0.5468  0.0081  0.0386  0.0376  0.0386  0.03
Block 1995   77  0.5377  0.0075  0.0379  0.0349  0.0580  0.04
Blumental 1952   42  0.6738  0.0038  0.0437  0.1345  0.0852  0.10
Boshniakovich 1969   66  0.5989  0.0064  0.0462  0.0471  0.0481  0.04
Brailowsky 1960   20  0.7116  0.0144  0.0444  0.0810  0.4536  0.19
Bunin 1987   80  0.4890  0.0078  0.0464  0.0430  0.2950  0.11
Bunin 1987b   83  0.4678  0.0077  0.0288  0.0229  0.2860  0.07
Chiu 1999   46  0.6687  0.0043  0.0541  0.1135  0.1944  0.14
Cohen 1997   86  0.3786  0.0088  0.0377  0.0369  0.0388  0.03
Cortot 1951   38  0.6858  0.0046  0.0459  0.0426  0.3548  0.12
Csalog 1996   88  0.3655  0.0085  0.0380  0.0377  0.0385  0.03
Czerny 1949   5  0.785  0.045  0.183  0.5811  0.531  0.55
Czerny 1990   8  0.7661  0.0010  0.0811  0.3815  0.3813  0.38
Duchoud 2007   72  0.5714  0.0141  0.0442  0.1015  0.3137  0.18
Ezaki 2006   3  0.803  0.044  0.145  0.509  0.542  0.52
Falvay 1989   75  0.5472  0.0083  0.0467  0.0441  0.2551  0.10
Farrell 1958   15  0.7327  0.0014  0.0714  0.3618  0.4411  0.40
Ferenczy 1958   82  0.4773  0.0087  0.0472  0.0477  0.0387  0.03
Fliere 1977   4  0.7810  0.027  0.116  0.4930  0.2120  0.32
Fou 1978   31  0.6926  0.0033  0.0634  0.1530  0.2038  0.17
Francois 1956   56  0.6262  0.0069  0.0553  0.0536  0.1655  0.09
Friedman 1923   18  0.7245  0.0040  0.0535  0.1435  0.3432  0.22
Friedman 1923b   19  0.7130  0.0035  0.0632  0.1934  0.3525  0.26
Friedman 1930   24  0.7147  0.0042  0.0539  0.1335  0.3333  0.21
Garcia 2007   14  0.7337  0.0022  0.0725  0.3018  0.4215  0.35
Garcia 2007b   44  0.6642  0.0053  0.0549  0.0537  0.2053  0.10
Gierzod 1998   11  0.7465  0.009  0.089  0.4329  0.2716  0.34
Gornostaeva 1994   59  0.6259  0.0057  0.0460  0.0457  0.0582  0.04
Groot 1988   45  0.6629  0.0027  0.0628  0.2216  0.4122  0.30
Harasiewicz 1955   10  0.7417  0.0115  0.0717  0.3536  0.1431  0.22
Hatto 1993   47  0.6570  0.0060  0.0647  0.0655  0.0667  0.06
Hatto 1997   41  0.6763  0.0059  0.0551  0.0554  0.0573  0.05
Horowitz 1949   36  0.6922  0.0036  0.0443  0.0926  0.4334  0.20
Indjic 1988   40  0.6779  0.0058  0.0470  0.0450  0.0672  0.05
Kapell 1951   60  0.6288  0.0031  0.0527  0.2353  0.0549  0.11
Kissin 1993   16  0.7332  0.008  0.118  0.4420  0.4010  0.42
Kushner 1989   35  0.6983  0.0052  0.0456  0.0436  0.1756  0.08
Luisada 1991   21  0.7174  0.0030  0.0531  0.2045  0.0945  0.13
Lushtak 2004   34  0.6984  0.0045  0.0445  0.0745  0.0958  0.08
Malcuzynski 1961   62  0.6018  0.0134  0.0636  0.139  0.4428  0.24
Magaloff 1978   13  0.7324  0.0026  0.0622  0.315  0.5012  0.39
Magin 1975   33  0.694  0.043  0.204  0.516  0.543  0.52
Michalowski 1933   73  0.5519  0.0174  0.0381  0.0355  0.0578  0.04
Milkina 1970   12  0.7351  0.0018  0.0721  0.3323  0.3418  0.33
Mohovich 1999   39  0.6843  0.0037  0.0438  0.1342  0.1840  0.15
Moravec 1969   63  0.6035  0.0054  0.0458  0.0412  0.4943  0.14
Morozova 2008   29  0.6946  0.0023  0.0823  0.3121  0.3519  0.33
Neighaus 1950   25  0.7023  0.0039  0.0440  0.1171  0.0463  0.07
Niedzielski 1931   26  0.7012  0.0112  0.0813  0.377  0.528  0.44
Ohlsson 1999   27  0.7036  0.0024  0.0824  0.3128  0.3021  0.30
Osinska 1989   7  0.7628  0.0019  0.0818  0.3429  0.3317  0.33
Pachmann 1927   65  0.5944  0.0079  0.0387  0.0336  0.1661  0.07
Paderewski 1930   67  0.5964  0.0080  0.0471  0.0463  0.0383  0.03
Perlemuter 1992   30  0.6941  0.0029  0.0533  0.1531  0.2335  0.19
Pierdomenico 2008   81  0.4834  0.0070  0.0469  0.0420  0.3747  0.12
Poblocka 1999   70  0.5776  0.0056  0.0457  0.0473  0.0475  0.04
Rabcewiczowa 1932   43  0.6766  0.0028  0.0529  0.2121  0.2926  0.25
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   87  0.3680  0.0084  0.0384  0.0355  0.0489  0.03
Richter 1976   76  0.5356  0.0072  0.0375  0.0341  0.2057  0.08
Rosen 1989   51  0.6385  0.0055  0.0454  0.0443  0.0865  0.06
Rosenthal 1930   49  0.646  0.0316  0.0716  0.355  0.626  0.47
Rosenthal 1931   68  0.5949  0.0050  0.0552  0.056  0.5739  0.17
Rosenthal 1931b   64  0.6031  0.0047  0.0383  0.035  0.5946  0.13
Rosenthal 1931c   71  0.577  0.0249  0.0473  0.047  0.5342  0.15
Rosenthal 1931d   69  0.5913  0.0151  0.0455  0.047  0.5741  0.15
Rossi 2007   57  0.6211  0.0273  0.0374  0.0335  0.1559  0.07
Rubinstein 1939   61  0.608  0.0266  0.0465  0.0453  0.0576  0.04
Rubinstein 1952   84  0.4250  0.0071  0.0463  0.0449  0.0868  0.06
Rubinstein 1966   53  0.6375  0.0067  0.0468  0.0445  0.1162  0.07
Schilhawsky 1960   22  0.7115  0.0117  0.0710  0.4016  0.489  0.44
Shebanova 2002   37  0.6869  0.0011  0.0815  0.3639  0.1924  0.26
Smith 1975   55  0.6225  0.0061  0.0550  0.0550  0.0570  0.05
Sokolov 2002   50  0.6348  0.0032  0.0630  0.2018  0.3323  0.26
Sztompka 1959   6  0.7754  0.0013  0.0912  0.3823  0.3214  0.35
Tomsic 1995   85  0.3981  0.0086  0.0385  0.0366  0.0577  0.04
Uninsky 1932   58  0.6233  0.0062  0.0648  0.0653  0.0664  0.06
Uninsky 1971   79  0.4920  0.0176  0.0378  0.0346  0.0971  0.05
Wasowski 1980   48  0.6552  0.0063  0.0646  0.0666  0.0569  0.05
Zak 1937   23  0.7139  0.0021  0.0820  0.3436  0.1629  0.23
Zak 1951   32  0.6960  0.0020  0.0819  0.3433  0.1827  0.25
Average   1  0.851  0.431  0.431  0.6217  0.395  0.49
Random 1   90  -0.2267  0.0090  0.0190  0.0153  0.0490  0.02
Random 2   89  -0.0191  0.0089  0.0289  0.027  0.4454  0.09
Random 3   91  -0.2382  0.0091  0.0191  0.0178  0.0291  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).