Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.3744  0.0024  0.1523  0.4626  0.4122  0.43
Anderszewski 2003   86  0.0071  0.0088  0.0288  0.0286  0.0288  0.02
Ashkenazy 1981   15  0.4434  0.0017  0.1518  0.5937  0.3720  0.47
Bacha 2000   88  -0.0220  0.0089  0.0287  0.0283  0.0287  0.02
Badura 1965   59  0.2548  0.0055  0.0370  0.0345  0.0762  0.05
Barbosa 1983   40  0.3027  0.0052  0.0458  0.0448  0.0660  0.05
Biret 1990   41  0.3040  0.0042  0.0642  0.1432  0.4430  0.25
Blet 2003   23  0.3936  0.0028  0.0828  0.3640  0.2728  0.31
Block 1995   57  0.2553  0.0049  0.0552  0.0571  0.0475  0.04
Blumental 1952   81  0.1437  0.0071  0.0459  0.0461  0.0576  0.04
Boshniakovich 1969   78  0.1587  0.0063  0.0379  0.0378  0.0385  0.03
Brailowsky 1960   63  0.2372  0.0056  0.0465  0.0445  0.1151  0.07
Bunin 1987   2  0.587  0.024  0.313  0.812  0.782  0.79
Bunin 1987b   1  0.583  0.193  0.311  0.832  0.791  0.81
Chiu 1999   16  0.446  0.0216  0.1416  0.6423  0.4917  0.56
Cohen 1997   70  0.1932  0.0074  0.0385  0.0360  0.0486  0.03
Cortot 1951   75  0.1766  0.0079  0.0463  0.0453  0.0578  0.04
Csalog 1996   35  0.3112  0.0125  0.1227  0.4125  0.4024  0.40
Czerny 1949   58  0.2563  0.0060  0.0464  0.0436  0.4739  0.14
Czerny 1990   5  0.532  0.262  0.274  0.7910  0.784  0.78
Duchoud 2007   14  0.4613  0.0113  0.1510  0.705  0.6710  0.68
Ezaki 2006   72  0.1861  0.0075  0.0373  0.0362  0.0480  0.03
Falvay 1989   37  0.3164  0.0043  0.0741  0.1452  0.0644  0.09
Farrell 1958   12  0.478  0.0212  0.1613  0.681  0.758  0.71
Ferenczy 1958   83  0.0762  0.0084  0.0384  0.0355  0.0674  0.04
Fliere 1977   13  0.4621  0.0015  0.1414  0.6834  0.4715  0.57
Fou 1978   33  0.3179  0.0039  0.0738  0.1854  0.0545  0.09
Francois 1956   55  0.2567  0.0061  0.0467  0.0441  0.2048  0.09
Friedman 1923   11  0.4723  0.0011  0.1411  0.7016  0.6712  0.68
Friedman 1923b   9  0.4810  0.018  0.189  0.7016  0.6711  0.68
Friedman 1930   18  0.439  0.0119  0.2117  0.6026  0.5516  0.57
Garcia 2007   38  0.3058  0.0041  0.0643  0.1356  0.0550  0.08
Garcia 2007b   34  0.3151  0.0031  0.0935  0.2138  0.2333  0.22
Gierzod 1998   89  -0.0554  0.0086  0.0286  0.0281  0.0289  0.02
Gornostaeva 1994   60  0.2431  0.0045  0.0647  0.0643  0.1743  0.10
Groot 1988   20  0.4224  0.0023  0.1620  0.5545  0.1031  0.23
Harasiewicz 1955   36  0.3142  0.0037  0.0536  0.2172  0.0447  0.09
Hatto 1993   51  0.2645  0.0067  0.0371  0.0349  0.0965  0.05
Hatto 1997   47  0.2843  0.0065  0.0468  0.0462  0.0473  0.04
Horowitz 1949   6  0.5115  0.007  0.187  0.748  0.736  0.73
Indjic 1988   49  0.2717  0.0068  0.0549  0.0565  0.0659  0.05
Kapell 1951   26  0.3718  0.0029  0.0929  0.3641  0.1234  0.21
Kissin 1993   62  0.2425  0.0054  0.0469  0.0453  0.0758  0.05
Kushner 1989   43  0.2959  0.0048  0.0555  0.0560  0.0555  0.05
Luisada 1991   17  0.4341  0.0022  0.1325  0.4638  0.2726  0.35
Lushtak 2004   74  0.1780  0.0078  0.0381  0.0379  0.0384  0.03
Malcuzynski 1961   48  0.2726  0.0058  0.0377  0.0361  0.0568  0.04
Magaloff 1978   42  0.2968  0.0036  0.0834  0.2347  0.0740  0.13
Magin 1975   71  0.1981  0.0077  0.0372  0.0377  0.0482  0.03
Michalowski 1933   32  0.3382  0.0035  0.0933  0.2844  0.1635  0.21
Milkina 1970   68  0.1988  0.0072  0.0554  0.0552  0.0656  0.05
Mohovich 1999   80  0.1465  0.0082  0.0557  0.0577  0.0377  0.04
Moravec 1969   10  0.4819  0.006  0.206  0.744  0.707  0.72
Morozova 2008   21  0.4229  0.0018  0.1619  0.5517  0.4319  0.49
Neighaus 1950   45  0.2883  0.0044  0.0744  0.1353  0.0646  0.09
Niedzielski 1931   22  0.4030  0.0027  0.1524  0.4631  0.2527  0.34
Ohlsson 1999   27  0.3755  0.0033  0.0631  0.3038  0.1336  0.20
Osinska 1989   76  0.1689  0.0047  0.0746  0.0758  0.0552  0.06
Pachmann 1927   52  0.2684  0.0050  0.0553  0.0567  0.0557  0.05
Paderewski 1930   69  0.1985  0.0080  0.0460  0.0472  0.0471  0.04
Perlemuter 1992   29  0.355  0.0420  0.1622  0.5031  0.4818  0.49
Pierdomenico 2008   39  0.3074  0.0040  0.0539  0.1639  0.1737  0.16
Poblocka 1999   19  0.4233  0.0014  0.1612  0.689  0.5813  0.63
Rabcewiczowa 1932   50  0.2686  0.0059  0.0375  0.0337  0.2249  0.08
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   46  0.2869  0.0053  0.0550  0.0549  0.0664  0.05
Richter 1976   24  0.3749  0.0026  0.1126  0.4141  0.3625  0.38
Rosen 1989   28  0.3511  0.0121  0.1621  0.5032  0.3821  0.44
Rosenthal 1930   7  0.5028  0.009  0.188  0.731  0.833  0.78
Rosenthal 1931   82  0.1422  0.0069  0.0551  0.0535  0.4038  0.14
Rosenthal 1931b   67  0.2050  0.0066  0.0376  0.0331  0.4442  0.11
Rosenthal 1931c   64  0.2314  0.0032  0.0840  0.1633  0.3032  0.22
Rosenthal 1931d   54  0.2539  0.0030  0.0830  0.3011  0.5623  0.41
Rossi 2007   85  0.0475  0.0073  0.0378  0.0363  0.0481  0.03
Rubinstein 1939   31  0.3360  0.0034  0.0832  0.3027  0.2429  0.27
Rubinstein 1952   77  0.1690  0.0081  0.0556  0.0579  0.0379  0.04
Rubinstein 1966   44  0.2970  0.0051  0.0548  0.0560  0.0561  0.05
Schilhawsky 1960   66  0.2076  0.0064  0.0380  0.0356  0.0572  0.04
Shebanova 2002   30  0.3556  0.0038  0.0637  0.1954  0.0841  0.12
Smith 1975   79  0.1573  0.0083  0.0383  0.0363  0.0566  0.04
Sokolov 2002   56  0.2535  0.0046  0.0845  0.0847  0.0553  0.06
Sztompka 1959   4  0.534  0.065  0.352  0.828  0.735  0.77
Tomsic 1995   73  0.1757  0.0070  0.0461  0.0458  0.0570  0.04
Uninsky 1932   3  0.551  0.281  0.285  0.7711  0.639  0.70
Uninsky 1971   61  0.2452  0.0057  0.0466  0.0473  0.0383  0.03
Wasowski 1980   8  0.4916  0.0010  0.1515  0.6722  0.5514  0.61
Zak 1937   53  0.2638  0.0062  0.0374  0.0360  0.0667  0.04
Zak 1951   65  0.2146  0.0076  0.0462  0.0462  0.0569  0.04
Random 1   87  0.0077  0.0087  0.0289  0.0241  0.1263  0.05
Random 2   84  0.0447  0.0085  0.0382  0.0341  0.1454  0.06
Random 3   90  -0.0978  0.0090  0.0190  0.0187  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).