Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.716  0.037  0.155  0.5720  0.419  0.48
Anderszewski 2003   25  0.6168  0.0042  0.0640  0.1331  0.1840  0.15
Ashkenazy 1981   44  0.5814  0.0122  0.0822  0.3139  0.1832  0.24
Bacha 2000   82  0.4274  0.0080  0.0385  0.0382  0.0381  0.03
Badura 1965   50  0.5719  0.0165  0.0472  0.0443  0.1459  0.07
Barbosa 1983   69  0.4972  0.0077  0.0464  0.0452  0.0664  0.05
Biret 1990   30  0.6145  0.0047  0.0554  0.0567  0.0567  0.05
Blet 2003   52  0.5679  0.0069  0.0375  0.0357  0.0576  0.04
Block 1995   73  0.4863  0.0067  0.0380  0.0357  0.0485  0.03
Blumental 1952   74  0.4837  0.0061  0.0465  0.0437  0.1555  0.08
Boshniakovich 1969   63  0.5258  0.0072  0.0378  0.0353  0.0579  0.04
Brailowsky 1960   38  0.5935  0.0070  0.0374  0.0354  0.0569  0.04
Bunin 1987   40  0.5867  0.0027  0.0630  0.2014  0.4427  0.30
Bunin 1987b   48  0.5762  0.0028  0.0631  0.2014  0.4525  0.30
Chiu 1999   53  0.5565  0.0050  0.0553  0.0528  0.2747  0.12
Cohen 1997   88  0.1377  0.0088  0.0383  0.0374  0.0386  0.03
Cortot 1951   46  0.5752  0.0058  0.0455  0.0428  0.2851  0.11
Csalog 1996   87  0.2470  0.0087  0.0458  0.0467  0.0475  0.04
Czerny 1949   5  0.7149  0.005  0.103  0.6016  0.454  0.52
Czerny 1990   2  0.725  0.032  0.292  0.666  0.551  0.60
Duchoud 2007   33  0.6022  0.0132  0.0528  0.2321  0.3630  0.29
Ezaki 2006   3  0.722  0.093  0.156  0.529  0.485  0.50
Falvay 1989   64  0.5271  0.0075  0.0376  0.0341  0.1557  0.07
Farrell 1958   27  0.6120  0.0126  0.0627  0.2312  0.3824  0.30
Ferenczy 1958   84  0.4146  0.0081  0.0287  0.0281  0.0389  0.02
Fliere 1977   6  0.713  0.046  0.127  0.5135  0.2516  0.36
Fou 1978   49  0.5742  0.0057  0.0462  0.0464  0.0471  0.04
Francois 1956   18  0.6327  0.0037  0.0535  0.1627  0.3134  0.22
Friedman 1923   58  0.5317  0.0131  0.0541  0.137  0.5631  0.27
Friedman 1923b   56  0.5423  0.0129  0.0634  0.166  0.5828  0.30
Friedman 1930   37  0.5910  0.0214  0.0724  0.2611  0.4719  0.35
Garcia 2007   54  0.5573  0.0054  0.0463  0.0415  0.4245  0.13
Garcia 2007b   81  0.4280  0.0074  0.0471  0.0444  0.0962  0.06
Gierzod 1998   42  0.5854  0.0045  0.0545  0.1063  0.0461  0.06
Gornostaeva 1994   35  0.5913  0.0136  0.0539  0.1335  0.2038  0.16
Groot 1988   19  0.6326  0.0120  0.0721  0.3428  0.3818  0.36
Harasiewicz 1955   8  0.669  0.029  0.099  0.4924  0.3611  0.42
Hatto 1993   72  0.4889  0.0064  0.0473  0.0447  0.0768  0.05
Hatto 1997   60  0.5387  0.0055  0.0646  0.0671  0.0465  0.05
Horowitz 1949   11  0.6616  0.0116  0.0815  0.397  0.608  0.48
Indjic 1988   67  0.5190  0.0056  0.0459  0.0454  0.0574  0.04
Kapell 1951   47  0.5732  0.0041  0.0637  0.1657  0.0453  0.08
Kissin 1993   41  0.5861  0.0038  0.0542  0.1242  0.1248  0.12
Kushner 1989   17  0.6369  0.0024  0.0825  0.2535  0.2233  0.23
Luisada 1991   32  0.6159  0.0049  0.0547  0.0549  0.0563  0.05
Lushtak 2004   28  0.6178  0.0025  0.0723  0.3148  0.0644  0.14
Malcuzynski 1961   23  0.6233  0.0018  0.0918  0.3811  0.4312  0.40
Magaloff 1978   16  0.6418  0.0123  0.0819  0.3618  0.3717  0.36
Magin 1975   29  0.618  0.028  0.0812  0.4411  0.4410  0.44
Michalowski 1933   80  0.4339  0.0062  0.0468  0.0447  0.0960  0.06
Milkina 1970   43  0.5812  0.0243  0.0544  0.1251  0.0554  0.08
Mohovich 1999   22  0.6247  0.0021  0.0720  0.3533  0.2526  0.30
Moravec 1969   51  0.564  0.0340  0.0533  0.176  0.5323  0.30
Morozova 2008   7  0.707  0.024  0.134  0.575  0.492  0.53
Neighaus 1950   10  0.6643  0.0012  0.0813  0.4332  0.2129  0.30
Niedzielski 1931   36  0.5930  0.0030  0.0529  0.2112  0.4522  0.31
Ohlsson 1999   26  0.6129  0.0034  0.0536  0.1645  0.0850  0.11
Osinska 1989   34  0.6024  0.0148  0.0548  0.0545  0.0956  0.07
Pachmann 1927   78  0.4453  0.0084  0.0384  0.0363  0.0483  0.03
Paderewski 1930   77  0.4666  0.0082  0.0289  0.0287  0.0288  0.02
Perlemuter 1992   9  0.6631  0.0019  0.1217  0.3817  0.3713  0.37
Pierdomenico 2008   76  0.4776  0.0068  0.0466  0.0439  0.1652  0.08
Poblocka 1999   70  0.4986  0.0071  0.0379  0.0355  0.0570  0.04
Rabcewiczowa 1932   45  0.5856  0.0044  0.0643  0.1225  0.3035  0.19
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   85  0.3691  0.0083  0.0386  0.0378  0.0387  0.03
Richter 1976   66  0.5188  0.0066  0.0469  0.0441  0.1258  0.07
Rosen 1989   59  0.5357  0.0059  0.0550  0.0558  0.0478  0.04
Rosenthal 1930   21  0.6215  0.0113  0.0711  0.466  0.623  0.53
Rosenthal 1931   55  0.5434  0.0053  0.0552  0.0510  0.5437  0.16
Rosenthal 1931b   61  0.5321  0.0151  0.0551  0.059  0.5239  0.16
Rosenthal 1931c   57  0.5448  0.0046  0.0456  0.0410  0.5442  0.15
Rosenthal 1931d   62  0.5336  0.0060  0.0549  0.0516  0.4341  0.15
Rossi 2007   68  0.5050  0.0073  0.0467  0.0415  0.3746  0.12
Rubinstein 1939   83  0.4111  0.0285  0.0382  0.0369  0.0482  0.03
Rubinstein 1952   86  0.3482  0.0086  0.0460  0.0472  0.0480  0.04
Rubinstein 1966   71  0.4825  0.0179  0.0381  0.0367  0.0484  0.03
Schilhawsky 1960   14  0.6544  0.0017  0.0914  0.4031  0.3415  0.37
Shebanova 2002   75  0.4784  0.0076  0.0377  0.0352  0.0577  0.04
Smith 1975   39  0.5840  0.0035  0.0438  0.1435  0.1443  0.14
Sokolov 2002   12  0.6651  0.0011  0.118  0.4910  0.487  0.48
Sztompka 1959   20  0.6241  0.0039  0.0632  0.1840  0.1936  0.18
Tomsic 1995   79  0.4475  0.0078  0.0461  0.0463  0.0472  0.04
Uninsky 1932   24  0.6260  0.0033  0.0626  0.2418  0.4521  0.33
Uninsky 1971   65  0.5181  0.0063  0.0470  0.0461  0.0573  0.04
Wasowski 1980   31  0.6128  0.0052  0.0457  0.0419  0.2949  0.11
Zak 1937   15  0.6455  0.0015  0.0816  0.3926  0.2820  0.33
Zak 1951   13  0.6538  0.0010  0.1010  0.4625  0.2914  0.37
Average   1  0.771  0.471  0.471  0.7025  0.346  0.49
Random 1   91  -0.1883  0.0090  0.0190  0.0158  0.0490  0.02
Random 2   89  -0.0664  0.0089  0.0288  0.0239  0.1166  0.05
Random 3   90  -0.1785  0.0091  0.0191  0.0186  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).