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  0.681  0.181  0.171  0.656  0.592  0.62
Anderszewski 2003   6  0.6331  0.0038  0.0733  0.2337  0.2634  0.24
Ashkenazy 1981   15  0.612  0.152  0.188  0.555  0.585  0.56
Bacha 2000   63  0.5147  0.0072  0.0480  0.0436  0.1560  0.08
Badura 1965   58  0.5214  0.0267  0.0555  0.0556  0.0575  0.05
Barbosa 1983   72  0.4665  0.0073  0.0468  0.0469  0.0478  0.04
Biret 1990   11  0.6216  0.0116  0.0817  0.3723  0.3523  0.36
Blet 2003   75  0.4272  0.0081  0.0478  0.0470  0.0385  0.03
Block 1995   65  0.4973  0.0068  0.0464  0.0454  0.0580  0.04
Blumental 1952   5  0.6411  0.0310  0.114  0.576  0.527  0.54
Boshniakovich 1969   67  0.4974  0.0064  0.0481  0.0480  0.0482  0.04
Brailowsky 1960   12  0.6210  0.0346  0.0551  0.0511  0.6240  0.18
Bunin 1987   76  0.4252  0.0074  0.0557  0.0530  0.3248  0.13
Bunin 1987b   80  0.4083  0.0075  0.0479  0.0432  0.2951  0.11
Chiu 1999   55  0.5276  0.0062  0.0466  0.0437  0.1468  0.07
Cohen 1997   85  0.3386  0.0086  0.0386  0.0373  0.0388  0.03
Cortot 1951   54  0.5243  0.0065  0.0461  0.0421  0.4747  0.14
Csalog 1996   83  0.3579  0.0080  0.0476  0.0452  0.0579  0.04
Czerny 1949   8  0.6341  0.0011  0.147  0.5525  0.468  0.50
Czerny 1990   16  0.6169  0.0015  0.0811  0.4430  0.3620  0.40
Duchoud 2007   79  0.4055  0.0077  0.0556  0.0536  0.1759  0.09
Ezaki 2006   3  0.6515  0.0212  0.0814  0.4120  0.4614  0.43
Falvay 1989   71  0.4759  0.0071  0.0383  0.0352  0.0773  0.05
Farrell 1958   34  0.5684  0.0032  0.0730  0.2628  0.4025  0.32
Ferenczy 1958   78  0.4156  0.0082  0.0384  0.0383  0.0386  0.03
Fliere 1977   1  0.695  0.076  0.182  0.6126  0.3312  0.45
Fou 1978   21  0.6032  0.0026  0.0825  0.3027  0.2827  0.29
Francois 1956   68  0.4951  0.0069  0.0477  0.0431  0.3450  0.12
Friedman 1923   22  0.599  0.0341  0.0638  0.1821  0.4529  0.28
Friedman 1923b   24  0.5912  0.0239  0.0734  0.2323  0.4624  0.33
Friedman 1930   31  0.5868  0.0048  0.0647  0.0629  0.4046  0.15
Garcia 2007   64  0.5077  0.0063  0.0473  0.0433  0.3053  0.11
Garcia 2007b   62  0.5287  0.0059  0.0558  0.0539  0.1266  0.08
Gierzod 1998   13  0.6163  0.009  0.1410  0.5335  0.3315  0.42
Gornostaeva 1994   52  0.5357  0.0057  0.0471  0.0437  0.1664  0.08
Groot 1988   33  0.5726  0.0014  0.0916  0.3911  0.4616  0.42
Harasiewicz 1955   7  0.6333  0.0021  0.0918  0.3739  0.1831  0.26
Hatto 1993   23  0.5922  0.0135  0.0628  0.2739  0.1936  0.23
Hatto 1997   20  0.6071  0.0037  0.0632  0.2442  0.1343  0.18
Horowitz 1949   37  0.5634  0.0045  0.0648  0.065  0.5642  0.18
Indjic 1988   19  0.6044  0.0036  0.0829  0.2740  0.1837  0.22
Kapell 1951   61  0.5280  0.0049  0.0649  0.0651  0.0669  0.06
Kissin 1993   28  0.5860  0.0018  0.0819  0.3629  0.4122  0.38
Kushner 1989   56  0.5281  0.0056  0.0382  0.0352  0.0676  0.04
Luisada 1991   27  0.5830  0.0047  0.0650  0.0647  0.0867  0.07
Lushtak 2004   46  0.5361  0.0061  0.0552  0.0545  0.0871  0.06
Malcuzynski 1961   36  0.5613  0.0224  0.0623  0.318  0.5418  0.41
Magaloff 1978   9  0.6328  0.0019  0.0713  0.414  0.539  0.47
Magin 1975   14  0.618  0.034  0.175  0.5612  0.536  0.54
Michalowski 1933   74  0.4645  0.0076  0.0472  0.0442  0.1863  0.08
Milkina 1970   25  0.5939  0.0029  0.0731  0.2541  0.2135  0.23
Mohovich 1999   39  0.5625  0.0151  0.0845  0.0841  0.1554  0.11
Moravec 1969   45  0.5436  0.0033  0.0739  0.1714  0.5726  0.31
Morozova 2008   40  0.5553  0.0042  0.0642  0.1340  0.2244  0.17
Neighaus 1950   43  0.5437  0.0052  0.0462  0.0438  0.1565  0.08
Niedzielski 1931   18  0.617  0.038  0.129  0.541  0.633  0.58
Ohlsson 1999   41  0.5466  0.0031  0.0736  0.2134  0.2733  0.24
Osinska 1989   26  0.5954  0.0034  0.0737  0.1960  0.0555  0.10
Pachmann 1927   82  0.3888  0.0085  0.0287  0.0263  0.0484  0.03
Paderewski 1930   81  0.3962  0.0083  0.0465  0.0470  0.0383  0.03
Perlemuter 1992   73  0.4689  0.0070  0.0475  0.0436  0.1957  0.09
Pierdomenico 2008   84  0.3529  0.0078  0.0559  0.0530  0.3049  0.12
Poblocka 1999   47  0.5348  0.0044  0.0644  0.1248  0.0661  0.08
Rabcewiczowa 1932   32  0.574  0.077  0.1615  0.3912  0.4417  0.41
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   87  0.2975  0.0084  0.0385  0.0375  0.0489  0.03
Richter 1976   66  0.4967  0.0066  0.0463  0.0436  0.3252  0.11
Rosen 1989   60  0.5270  0.0053  0.0470  0.0459  0.0581  0.04
Rosenthal 1930   17  0.616  0.045  0.153  0.595  0.821  0.70
Rosenthal 1931   49  0.5318  0.0125  0.0727  0.285  0.6813  0.44
Rosenthal 1931b   48  0.5324  0.0122  0.0622  0.325  0.6910  0.47
Rosenthal 1931c   44  0.5421  0.0127  0.0624  0.305  0.7111  0.46
Rosenthal 1931d   50  0.5338  0.0028  0.0735  0.215  0.7421  0.39
Rossi 2007   70  0.4890  0.0079  0.0554  0.0544  0.1262  0.08
Rubinstein 1939   59  0.5217  0.0154  0.0467  0.0438  0.2058  0.09
Rubinstein 1952   77  0.4119  0.0123  0.0641  0.1434  0.2639  0.19
Rubinstein 1966   51  0.5382  0.0055  0.0469  0.0451  0.0674  0.05
Schilhawsky 1960   4  0.653  0.123  0.146  0.568  0.594  0.57
Shebanova 2002   42  0.5423  0.0113  0.0821  0.3231  0.2728  0.29
Smith 1975   35  0.5620  0.0143  0.0543  0.1229  0.2641  0.18
Sokolov 2002   53  0.5346  0.0040  0.0640  0.1620  0.3632  0.24
Sztompka 1959   10  0.6240  0.0017  0.0812  0.4131  0.4119  0.41
Tomsic 1995   86  0.2985  0.0087  0.0474  0.0471  0.0577  0.04
Uninsky 1932   38  0.5627  0.0050  0.0746  0.0729  0.3845  0.16
Uninsky 1971   69  0.4949  0.0060  0.0553  0.0545  0.0870  0.06
Wasowski 1980   57  0.5264  0.0058  0.0560  0.0562  0.0572  0.05
Zak 1937   29  0.5835  0.0030  0.0726  0.2840  0.1438  0.20
Zak 1951   30  0.5842  0.0020  0.0820  0.3634  0.2130  0.27
Random 1   90  -0.0978  0.0090  0.0190  0.0146  0.0590  0.02
Random 2   88  0.0150  0.0088  0.0288  0.025  0.5056  0.10
Random 3   89  -0.0658  0.0089  0.0189  0.0142  0.1187  0.03

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).