Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.3029  0.0026  0.1125  0.4344  0.1425  0.25
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   39  0.2272  0.0041  0.0641  0.1375  0.0447  0.07
Bacha 2000   21  0.296  0.0211  0.1415  0.5219  0.4611  0.49
Badura 1965   8  0.3634  0.008  0.166  0.654  0.655  0.65
Barbosa 1983   14  0.349  0.0113  0.1113  0.5327  0.3716  0.44
Biret 1990   83  0.0187  0.0085  0.0284  0.0282  0.0389  0.02
Blet 2003   52  0.2048  0.0063  0.0474  0.0469  0.0466  0.04
Block 1995   15  0.3323  0.0022  0.1017  0.5145  0.0729  0.19
Blumental 1952   4  0.394  0.027  0.164  0.709  0.643  0.67
Boshniakovich 1969   22  0.2925  0.006  0.178  0.6029  0.3514  0.46
Brailowsky 1960   9  0.367  0.0210  0.197  0.628  0.628  0.62
Bunin 1987   88  0.0088  0.0088  0.0188  0.0189  0.0290  0.01
Bunin 1987b   87  0.0049  0.0087  0.0287  0.0289  0.0287  0.02
Chiu 1999   26  0.2827  0.0066  0.0464  0.0470  0.0461  0.04
Cohen 1997   25  0.2837  0.0023  0.1020  0.4628  0.4317  0.44
Cortot 1951   54  0.1966  0.0067  0.0466  0.0460  0.0571  0.04
Csalog 1996   75  0.1153  0.0076  0.0383  0.0378  0.0476  0.03
Czerny 1949   57  0.1880  0.0054  0.0747  0.0739  0.4133  0.17
Czerny 1990   69  0.1442  0.0070  0.0556  0.0567  0.0470  0.04
Duchoud 2007   51  0.2024  0.0043  0.0542  0.1168  0.0446  0.07
Ezaki 2006   41  0.2240  0.0033  0.0636  0.1935  0.2527  0.22
Falvay 1989   49  0.2073  0.0048  0.0749  0.0771  0.0353  0.05
Farrell 1958   71  0.1371  0.0074  0.0380  0.0381  0.0374  0.03
Ferenczy 1958   28  0.2745  0.0030  0.1027  0.3422  0.7012  0.49
Fliere 1977   61  0.1757  0.0068  0.0475  0.0461  0.0559  0.04
Fou 1978   2  0.4217  0.002  0.265  0.709  0.586  0.64
Francois 1956   46  0.2110  0.0134  0.0738  0.1642  0.2031  0.18
Friedman 1923   70  0.1389  0.0075  0.0378  0.0375  0.0382  0.03
Friedman 1923b   73  0.1276  0.0078  0.0467  0.0477  0.0380  0.03
Friedman 1930   65  0.1567  0.0061  0.0472  0.0470  0.0467  0.04
Garcia 2007   31  0.2526  0.0021  0.1216  0.5240  0.2021  0.32
Garcia 2007b   79  0.0931  0.0053  0.0652  0.0658  0.0558  0.05
Gierzod 1998   6  0.3912  0.004  0.232  0.746  0.732  0.73
Gornostaeva 1994   29  0.2728  0.0032  0.0831  0.2537  0.2824  0.26
Groot 1988   64  0.1690  0.0064  0.0460  0.0481  0.0381  0.03
Harasiewicz 1955   7  0.3759  0.0017  0.109  0.5933  0.2418  0.38
Hatto 1993   18  0.2944  0.0027  0.0930  0.2855  0.0835  0.15
Hatto 1997   35  0.2315  0.0037  0.0634  0.2163  0.0442  0.09
Horowitz 1949   72  0.1268  0.0071  0.0469  0.0458  0.0655  0.05
Indjic 1988   38  0.2341  0.0038  0.0837  0.1867  0.0640  0.10
Kapell 1951   47  0.2174  0.0040  0.0640  0.1464  0.0544  0.08
Kissin 1993   59  0.1736  0.0050  0.0651  0.0672  0.0556  0.05
Kushner 1989   24  0.2821  0.0025  0.1222  0.4544  0.1326  0.24
Luisada 1991   67  0.1481  0.0056  0.0555  0.0561  0.0551  0.05
Lushtak 2004   19  0.2916  0.0012  0.1312  0.5414  0.4413  0.49
Malcuzynski 1961   55  0.1885  0.0051  0.0745  0.0773  0.0454  0.05
Magaloff 1978   81  0.0861  0.0077  0.0377  0.0382  0.0373  0.03
Magin 1975   62  0.1730  0.0065  0.0461  0.0470  0.0462  0.04
Michalowski 1933   58  0.1886  0.0060  0.0473  0.0477  0.0465  0.04
Milkina 1970   10  0.3514  0.0016  0.1218  0.5118  0.5010  0.50
Mohovich 1999   3  0.408  0.015  0.213  0.7312  0.594  0.66
Moravec 1969   30  0.2519  0.0031  0.0928  0.3166  0.0438  0.11
Morozova 2008   27  0.2735  0.0059  0.0465  0.0479  0.0377  0.03
Neighaus 1950   32  0.2547  0.0028  0.1029  0.3165  0.0537  0.12
Niedzielski 1931   23  0.2854  0.0018  0.1021  0.4555  0.0634  0.16
Ohlsson 1999   11  0.355  0.0215  0.1326  0.3443  0.0932  0.17
Osinska 1989   78  0.1082  0.0079  0.0558  0.0579  0.0360  0.04
Pachmann 1927   77  0.1055  0.0072  0.0462  0.0476  0.0464  0.04
Paderewski 1930   53  0.1933  0.0049  0.0654  0.0665  0.0649  0.06
Perlemuter 1992   63  0.1660  0.0058  0.0470  0.0446  0.0652  0.05
Pierdomenico 2008   84  0.0163  0.0082  0.0382  0.0386  0.0286  0.02
Poblocka 1999   43  0.2250  0.0039  0.0639  0.1468  0.0543  0.08
Rabcewiczowa 1932   45  0.2164  0.0044  0.0544  0.1040  0.1836  0.13
Rachmaninoff 1923   85  0.0077  0.0084  0.0286  0.0288  0.0285  0.02
Rangell 2001   37  0.2332  0.0024  0.1024  0.4535  0.2122  0.31
Richter 1976   40  0.2251  0.0062  0.0463  0.0479  0.0463  0.04
Rosen 1989   50  0.2043  0.0055  0.0557  0.0578  0.0369  0.04
Rosenthal 1930   56  0.1878  0.0057  0.0468  0.0473  0.0379  0.03
Rosenthal 1931   12  0.3439  0.0019  0.1310  0.5912  0.687  0.63
Rosenthal 1931b   16  0.3138  0.0020  0.1811  0.5812  0.679  0.62
Rosenthal 1931c   36  0.2318  0.0052  0.0746  0.0743  0.1441  0.10
Rosenthal 1931d   66  0.1569  0.0042  0.0643  0.1134  0.3230  0.19
Rossi 2007   90  -0.0383  0.0089  0.0189  0.0174  0.0384  0.02
Rubinstein 1939   5  0.393  0.039  0.1614  0.5312  0.3915  0.45
Rubinstein 1952   60  0.1722  0.0045  0.0653  0.0673  0.0457  0.05
Rubinstein 1966   1  0.531  0.591  0.591  0.862  0.731  0.79
Schilhawsky 1960   20  0.2911  0.0129  0.0832  0.2434  0.2823  0.26
Shebanova 2002   44  0.2156  0.0046  0.0750  0.0768  0.0650  0.06
Smith 1975   34  0.2420  0.0036  0.0735  0.2139  0.2028  0.20
Sokolov 2002   76  0.1152  0.0081  0.0376  0.0389  0.0183  0.02
Sztompka 1959   68  0.1458  0.0069  0.0471  0.0475  0.0375  0.03
Tomsic 1995   42  0.222  0.173  0.1923  0.4520  0.3119  0.37
Uninsky 1932   80  0.0970  0.0080  0.0459  0.0481  0.0378  0.03
Uninsky 1971   13  0.3413  0.0014  0.0919  0.4834  0.2320  0.33
Wasowski 1980   74  0.1279  0.0073  0.0379  0.0381  0.0472  0.03
Zak 1937   48  0.2062  0.0047  0.0748  0.0759  0.0648  0.06
Zak 1951   33  0.2546  0.0035  0.0733  0.2251  0.0539  0.10
Random 1   89  -0.0384  0.0090  0.0190  0.0169  0.0388  0.02
Random 2   82  0.0365  0.0083  0.0381  0.0348  0.0668  0.04
Random 3   86  0.0075  0.0086  0.0285  0.0219  0.3445  0.08

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).