Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.5161  0.0028  0.1121  0.4074  0.0425  0.13
Anderszewski 2003   34  0.4351  0.0049  0.0380  0.0384  0.0374  0.03
Ashkenazy 1981   56  0.3968  0.0051  0.0375  0.0383  0.0384  0.03
Bacha 2000   42  0.4212  0.0146  0.0457  0.0457  0.0447  0.04
Badura 1965   57  0.3920  0.0144  0.0544  0.0964  0.0544  0.07
Barbosa 1983   87  0.2255  0.0076  0.0371  0.0380  0.0471  0.03
Biret 1990   16  0.4832  0.0018  0.0913  0.4967  0.0423  0.14
Blet 2003   50  0.4177  0.0057  0.0464  0.0473  0.0375  0.03
Block 1995   86  0.2259  0.0081  0.0287  0.0282  0.0389  0.02
Blumental 1952   23  0.4613  0.0115  0.0818  0.4554  0.0521  0.15
Boshniakovich 1969   1  0.572  0.222  0.272  0.6750  0.0610  0.20
Brailowsky 1960   85  0.2452  0.0087  0.0466  0.0484  0.0363  0.03
Bunin 1987   72  0.3541  0.0072  0.0459  0.0453  0.0557  0.04
Bunin 1987b   75  0.3444  0.0073  0.0452  0.0448  0.0551  0.04
Chiu 1999   64  0.3737  0.0068  0.0381  0.0365  0.0466  0.03
Cohen 1997   71  0.3542  0.0058  0.0454  0.0428  0.2333  0.10
Cortot 1951   45  0.4115  0.0134  0.0637  0.1649  0.0534  0.09
Csalog 1996   79  0.3285  0.0078  0.0384  0.0377  0.0373  0.03
Czerny 1949   19  0.4723  0.0020  0.0817  0.4563  0.0520  0.15
Czerny 1990   14  0.4916  0.0116  0.1115  0.4964  0.0516  0.16
Duchoud 2007   84  0.2579  0.0086  0.0379  0.0374  0.0380  0.03
Ezaki 2006   78  0.3280  0.0083  0.0374  0.0376  0.0461  0.03
Falvay 1989   67  0.3675  0.0071  0.0456  0.0467  0.0549  0.04
Farrell 1958   28  0.4434  0.0022  0.1419  0.4555  0.0614  0.16
Ferenczy 1958   60  0.3769  0.0065  0.0546  0.0554  0.0455  0.04
Fliere 1977   29  0.4447  0.0040  0.0639  0.1376  0.0441  0.07
Fou 1978   15  0.4818  0.018  0.108  0.5453  0.0515  0.16
Francois 1956   3  0.541  0.271  0.261  0.6911  0.561  0.62
Friedman 1923   66  0.3762  0.0069  0.0461  0.0465  0.0560  0.04
Friedman 1923b   63  0.3753  0.0067  0.0458  0.0471  0.0458  0.04
Friedman 1930   52  0.4036  0.0066  0.0377  0.0368  0.0477  0.03
Garcia 2007   9  0.5031  0.0013  0.089  0.5336  0.273  0.38
Garcia 2007b   17  0.4835  0.0014  0.1011  0.5244  0.0811  0.20
Gierzod 1998   18  0.4849  0.0011  0.0820  0.4579  0.0328  0.12
Gornostaeva 1994   27  0.4529  0.0036  0.0634  0.2166  0.0340  0.08
Groot 1988   62  0.3758  0.0048  0.0376  0.0386  0.0386  0.03
Harasiewicz 1955   31  0.4445  0.0035  0.0533  0.2263  0.0435  0.09
Hatto 1993   43  0.4263  0.009  0.1214  0.4969  0.0424  0.14
Hatto 1997   30  0.444  0.075  0.177  0.5473  0.0419  0.15
Horowitz 1949   73  0.3438  0.0082  0.0386  0.0382  0.0369  0.03
Indjic 1988   32  0.4330  0.007  0.1012  0.5184  0.0327  0.12
Kapell 1951   22  0.4622  0.0026  0.0922  0.3869  0.0426  0.12
Kissin 1993   21  0.4757  0.0027  0.0927  0.3383  0.0331  0.10
Kushner 1989   10  0.5071  0.0012  0.086  0.5768  0.0418  0.15
Luisada 1991   59  0.3839  0.0059  0.0547  0.0575  0.0348  0.04
Lushtak 2004   51  0.4076  0.0052  0.0378  0.0384  0.0382  0.03
Malcuzynski 1961   24  0.468  0.0325  0.1028  0.3141  0.1112  0.18
Magaloff 1978   44  0.429  0.0221  0.0929  0.2966  0.0430  0.11
Magin 1975   37  0.4354  0.0041  0.0542  0.1186  0.0345  0.06
Michalowski 1933   6  0.5111  0.0224  0.0824  0.3627  0.285  0.32
Milkina 1970   36  0.4386  0.0055  0.0455  0.0482  0.0368  0.03
Mohovich 1999   83  0.3087  0.0079  0.0463  0.0475  0.0456  0.04
Moravec 1969   68  0.3672  0.0070  0.0449  0.0477  0.0362  0.03
Morozova 2008   47  0.4156  0.0053  0.0465  0.0483  0.0376  0.03
Neighaus 1950   2  0.557  0.034  0.214  0.6141  0.138  0.28
Niedzielski 1931   25  0.4519  0.0132  0.0635  0.2073  0.0337  0.08
Ohlsson 1999   39  0.4227  0.0045  0.0451  0.0486  0.0370  0.03
Osinska 1989   26  0.4581  0.0033  0.0632  0.2564  0.0529  0.11
Pachmann 1927   8  0.5117  0.0130  0.0931  0.267  0.504  0.36
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   11  0.4924  0.0023  0.0923  0.3752  0.0522  0.14
Pierdomenico 2008   13  0.495  0.056  0.165  0.6011  0.482  0.54
Poblocka 1999   77  0.3264  0.0064  0.0462  0.0481  0.0364  0.03
Rabcewiczowa 1932   5  0.5326  0.0017  0.0910  0.5244  0.089  0.20
Rachmaninoff 1923   58  0.3946  0.0062  0.0370  0.0365  0.0467  0.03
Rangell 2001   33  0.436  0.0410  0.0826  0.3338  0.277  0.30
Richter 1976   61  0.3740  0.0047  0.0467  0.0478  0.0453  0.04
Rosen 1989   35  0.4370  0.0054  0.0448  0.0483  0.0383  0.03
Rosenthal 1930   69  0.3565  0.0074  0.0453  0.0476  0.0381  0.03
Rosenthal 1931   81  0.3173  0.0085  0.0369  0.0382  0.0372  0.03
Rosenthal 1931b   74  0.3460  0.0077  0.0383  0.0374  0.0387  0.03
Rosenthal 1931c   70  0.3582  0.0075  0.0460  0.0465  0.0459  0.04
Rosenthal 1931d   80  0.3178  0.0080  0.0385  0.0375  0.0385  0.03
Rossi 2007   12  0.4914  0.0129  0.1125  0.3533  0.276  0.31
Rubinstein 1939   38  0.4266  0.0039  0.0540  0.1356  0.0536  0.08
Rubinstein 1952   76  0.3388  0.0060  0.0545  0.0586  0.0288  0.03
Rubinstein 1966   53  0.4048  0.0056  0.0372  0.0370  0.0554  0.04
Schilhawsky 1960   40  0.4225  0.0042  0.0541  0.1270  0.0443  0.07
Shebanova 2002   49  0.4189  0.0037  0.0638  0.1579  0.0439  0.08
Smith 1975   65  0.3721  0.0061  0.0450  0.0452  0.0550  0.04
Sokolov 2002   55  0.4043  0.0050  0.0382  0.0370  0.0365  0.03
Sztompka 1959   4  0.543  0.103  0.183  0.6560  0.0513  0.18
Tomsic 1995   82  0.3190  0.0084  0.0368  0.0375  0.0552  0.04
Uninsky 1932   54  0.4083  0.0063  0.0373  0.0369  0.0478  0.03
Uninsky 1971   41  0.4228  0.0031  0.0830  0.2778  0.0432  0.10
Wasowski 1980   20  0.4710  0.0219  0.0916  0.4664  0.0517  0.15
Zak 1937   46  0.4150  0.0043  0.0543  0.1177  0.0442  0.07
Zak 1951   48  0.4133  0.0038  0.0736  0.1777  0.0438  0.08
Random 1   90  -0.1584  0.0089  0.0189  0.0179  0.0290  0.01
Random 2   89  -0.1074  0.0090  0.0190  0.0144  0.0779  0.03
Random 3   88  -0.0867  0.0088  0.0288  0.0239  0.1346  0.05

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).