Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.5366  0.0056  0.0356  0.0355  0.0471  0.03
Anderszewski 2003   53  0.5148  0.0036  0.0533  0.1554  0.0437  0.08
Ashkenazy 1981   16  0.6432  0.0021  0.0611  0.3941  0.1119  0.21
Bacha 2000   63  0.4489  0.0071  0.0367  0.0361  0.0460  0.03
Badura 1965   57  0.4942  0.0053  0.0455  0.0459  0.0457  0.04
Barbosa 1983   61  0.4568  0.0041  0.0439  0.1073  0.0351  0.05
Biret 1990   46  0.5530  0.0050  0.0451  0.0463  0.0458  0.04
Blet 2003   21  0.612  0.108  0.1313  0.3829  0.2113  0.28
Block 1995   26  0.6015  0.0129  0.0630  0.1617  0.3017  0.22
Blumental 1952   58  0.477  0.0410  0.0824  0.2316  0.3016  0.26
Boshniakovich 1969   12  0.6725  0.0120  0.0716  0.3320  0.3011  0.31
Brailowsky 1960   56  0.5083  0.0075  0.0362  0.0362  0.0462  0.03
Bunin 1987   40  0.5727  0.0113  0.0818  0.2640  0.1221  0.18
Bunin 1987b   39  0.5710  0.0412  0.0719  0.2641  0.1220  0.18
Chiu 1999   79  0.3249  0.0068  0.0275  0.0273  0.0380  0.02
Cohen 1997   65  0.4364  0.0054  0.0450  0.0426  0.2733  0.10
Cortot 1951   6  0.6916  0.016  0.125  0.4516  0.433  0.44
Csalog 1996   69  0.4269  0.0082  0.0286  0.0257  0.0570  0.03
Czerny 1949   31  0.5934  0.0037  0.0534  0.1453  0.0634  0.09
Czerny 1990   13  0.6651  0.0035  0.0532  0.1566  0.0438  0.08
Duchoud 2007   43  0.5590  0.0058  0.0363  0.0372  0.0372  0.03
Ezaki 2006   19  0.6277  0.0049  0.0549  0.0575  0.0353  0.04
Falvay 1989   42  0.5578  0.0065  0.0280  0.0264  0.0466  0.03
Farrell 1958   20  0.6111  0.0316  0.0915  0.349  0.3010  0.32
Ferenczy 1958   11  0.6772  0.0022  0.0810  0.3923  0.368  0.37
Fliere 1977   10  0.6835  0.0027  0.0717  0.2671  0.0430  0.10
Fou 1978   62  0.4559  0.0066  0.0282  0.0259  0.0567  0.03
Francois 1956   36  0.5743  0.0042  0.0442  0.0960  0.0447  0.06
Friedman 1923   86  0.1247  0.0034  0.0637  0.1235  0.2225  0.16
Friedman 1923b   85  0.1219  0.0131  0.0636  0.1332  0.2123  0.17
Friedman 1930   70  0.423  0.104  0.1112  0.3818  0.377  0.37
Garcia 2007   82  0.2879  0.0078  0.0279  0.0254  0.0473  0.03
Garcia 2007b   87  0.1075  0.0063  0.0364  0.0336  0.1148  0.06
Gierzod 1998   8  0.6829  0.0117  0.0714  0.3733  0.1815  0.26
Gornostaeva 1994   25  0.6038  0.0044  0.0444  0.0856  0.0446  0.06
Groot 1988   15  0.6460  0.0046  0.0646  0.0675  0.0359  0.04
Harasiewicz 1955   68  0.4245  0.0047  0.0745  0.0764  0.0352  0.05
Hatto 1993   83  0.2752  0.0061  0.0452  0.0476  0.0275  0.03
Hatto 1997   77  0.3361  0.0040  0.0541  0.1052  0.0443  0.06
Horowitz 1949   66  0.4341  0.0083  0.0283  0.0280  0.0387  0.02
Indjic 1988   80  0.2865  0.0060  0.0369  0.0377  0.0288  0.02
Kapell 1951   3  0.7214  0.025  0.142  0.5026  0.365  0.42
Kissin 1993   22  0.6113  0.0328  0.0638  0.1150  0.0539  0.07
Kushner 1989   24  0.6170  0.0051  0.0454  0.0465  0.0454  0.04
Luisada 1991   59  0.4584  0.0064  0.0277  0.0274  0.0378  0.02
Lushtak 2004   38  0.5722  0.0114  0.109  0.3960  0.0429  0.12
Malcuzynski 1961   5  0.6921  0.0123  0.0723  0.2383  0.0336  0.08
Magaloff 1978   7  0.6839  0.0026  0.0925  0.2358  0.0431  0.10
Magin 1975   67  0.4337  0.0084  0.0284  0.0282  0.0284  0.02
Michalowski 1933   49  0.5318  0.019  0.157  0.4214  0.444  0.43
Milkina 1970   37  0.5762  0.0059  0.0366  0.0361  0.0468  0.03
Mohovich 1999   18  0.6326  0.0139  0.0535  0.1367  0.0345  0.06
Moravec 1969   34  0.5924  0.0152  0.0359  0.0340  0.1142  0.06
Morozova 2008   71  0.4186  0.0079  0.0368  0.0381  0.0289  0.02
Neighaus 1950   35  0.5858  0.0033  0.0627  0.1868  0.0341  0.07
Niedzielski 1931   64  0.4317  0.0180  0.0271  0.0280  0.0283  0.02
Ohlsson 1999   32  0.5933  0.0055  0.0453  0.0465  0.0369  0.03
Osinska 1989   2  0.736  0.062  0.126  0.4413  0.386  0.41
Pachmann 1927   72  0.3920  0.0138  0.0540  0.1044  0.1032  0.10
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   55  0.5056  0.0057  0.0358  0.0380  0.0361  0.03
Pierdomenico 2008   51  0.5254  0.0067  0.0278  0.0279  0.0381  0.02
Poblocka 1999   1  0.751  0.121  0.124  0.4917  0.412  0.45
Rabcewiczowa 1932   14  0.6531  0.0018  0.088  0.4023  0.339  0.36
Rachmaninoff 1923   78  0.3346  0.0081  0.0361  0.0383  0.0365  0.03
Rangell 2001   17  0.6428  0.0119  0.0722  0.2446  0.0728  0.13
Richter 1976   52  0.5150  0.0069  0.0272  0.0233  0.1350  0.05
Rosen 1989   28  0.6036  0.0015  0.0721  0.2629  0.2814  0.27
Rosenthal 1930   44  0.5571  0.0043  0.0443  0.0848  0.0544  0.06
Rosenthal 1931   75  0.3880  0.0045  0.0547  0.0565  0.0355  0.04
Rosenthal 1931b   76  0.3767  0.0077  0.0357  0.0376  0.0376  0.03
Rosenthal 1931c   27  0.605  0.0625  0.0728  0.1833  0.1922  0.18
Rosenthal 1931d   60  0.4581  0.0076  0.0370  0.0367  0.0374  0.03
Rossi 2007   81  0.2853  0.0073  0.0273  0.0247  0.0464  0.03
Rubinstein 1939   84  0.2082  0.0089  0.0189  0.0175  0.0382  0.02
Rubinstein 1952   47  0.5563  0.0074  0.0276  0.0254  0.0677  0.03
Rubinstein 1966   41  0.5687  0.0062  0.0360  0.0358  0.0556  0.04
Schilhawsky 1960   29  0.6012  0.0324  0.0720  0.2642  0.1024  0.16
Shebanova 2002   30  0.608  0.0411  0.0829  0.1740  0.1227  0.14
Smith 1975   4  0.704  0.083  0.151  0.5539  0.1612  0.30
Sokolov 2002   45  0.5574  0.0072  0.0365  0.0378  0.0363  0.03
Sztompka 1959   9  0.689  0.047  0.113  0.4914  0.441  0.46
Tomsic 1995   33  0.5957  0.0048  0.0548  0.0547  0.0549  0.05
Uninsky 1932   50  0.5244  0.0032  0.0531  0.1540  0.1526  0.15
Uninsky 1971   23  0.6140  0.0030  0.0626  0.2237  0.2118  0.21
Wasowski 1980   54  0.5155  0.0070  0.0274  0.0282  0.0379  0.02
Zak 1937   73  0.3985  0.0086  0.0285  0.0286  0.0385  0.02
Zak 1951   74  0.3888  0.0085  0.0281  0.0278  0.0386  0.02
Random 1   90  -0.1473  0.0090  0.0190  0.0153  0.0490  0.02
Random 2   88  0.0923  0.0187  0.0288  0.027  0.4535  0.09
Random 3   89  0.0976  0.0088  0.0287  0.0224  0.2340  0.07

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).