Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.6260  0.0034  0.0629  0.2069  0.0344  0.08
Anderszewski 2003   39  0.5714  0.0229  0.0536  0.1578  0.0346  0.07
Ashkenazy 1981   34  0.5982  0.0040  0.0532  0.1878  0.0350  0.07
Bacha 2000   59  0.5188  0.0072  0.0381  0.0367  0.0474  0.03
Badura 1965   54  0.5229  0.0055  0.0463  0.0469  0.0465  0.04
Barbosa 1983   86  0.3773  0.0065  0.0368  0.0362  0.0562  0.04
Biret 1990   23  0.6244  0.0032  0.0625  0.2450  0.0627  0.12
Blet 2003   19  0.632  0.123  0.124  0.4621  0.335  0.39
Block 1995   56  0.5230  0.0051  0.0454  0.0441  0.1148  0.07
Blumental 1952   36  0.584  0.057  0.0817  0.338  0.379  0.35
Boshniakovich 1969   6  0.6917  0.0111  0.0715  0.3427  0.2812  0.31
Brailowsky 1960   53  0.5354  0.0083  0.0284  0.0285  0.0386  0.02
Bunin 1987   65  0.4921  0.0171  0.0451  0.0456  0.0566  0.04
Bunin 1987b   68  0.4935  0.0070  0.0380  0.0351  0.0559  0.04
Chiu 1999   81  0.4337  0.0069  0.0377  0.0361  0.0478  0.03
Cohen 1997   77  0.4577  0.0059  0.0365  0.0312  0.3831  0.11
Cortot 1951   15  0.6442  0.0021  0.0819  0.3129  0.2813  0.29
Csalog 1996   70  0.4883  0.0075  0.0283  0.0246  0.0763  0.04
Czerny 1949   37  0.589  0.0339  0.0639  0.1256  0.0543  0.08
Czerny 1990   5  0.6939  0.0012  0.0712  0.3753  0.0523  0.14
Duchoud 2007   72  0.4786  0.0080  0.0289  0.0268  0.0483  0.03
Ezaki 2006   33  0.6091  0.0054  0.0370  0.0361  0.0473  0.03
Falvay 1989   43  0.5672  0.0068  0.0378  0.0360  0.0555  0.04
Farrell 1958   25  0.618  0.0315  0.086  0.449  0.431  0.43
Ferenczy 1958   14  0.6458  0.0033  0.0616  0.3322  0.2911  0.31
Fliere 1977   8  0.6664  0.0022  0.0714  0.3585  0.0333  0.10
Fou 1978   35  0.5826  0.0127  0.0531  0.1976  0.0438  0.09
Francois 1956   9  0.6632  0.008  0.0713  0.3730  0.3010  0.33
Friedman 1923   87  0.3279  0.0063  0.0366  0.0362  0.0572  0.04
Friedman 1923b   88  0.3256  0.0062  0.0458  0.0475  0.0467  0.04
Friedman 1930   63  0.5015  0.0226  0.0528  0.2028  0.3014  0.24
Garcia 2007   69  0.4855  0.0053  0.0462  0.0446  0.0653  0.05
Garcia 2007b   84  0.3862  0.0036  0.0642  0.1145  0.0936  0.10
Gierzod 1998   12  0.6522  0.0114  0.0711  0.3857  0.0426  0.12
Gornostaeva 1994   29  0.6051  0.0047  0.0449  0.0459  0.0468  0.04
Groot 1988   31  0.6057  0.0049  0.0646  0.0672  0.0370  0.04
Harasiewicz 1955   60  0.5169  0.0042  0.0538  0.1381  0.0351  0.06
Hatto 1993   83  0.4266  0.0031  0.0641  0.1150  0.0645  0.08
Hatto 1997   73  0.4725  0.0117  0.0735  0.1648  0.0730  0.11
Horowitz 1949   74  0.4634  0.0084  0.0376  0.0389  0.0289  0.02
Indjic 1988   78  0.4475  0.0030  0.0540  0.1257  0.0541  0.08
Kapell 1951   2  0.707  0.042  0.143  0.4929  0.287  0.37
Kissin 1993   16  0.6420  0.0137  0.0526  0.2247  0.0629  0.11
Kushner 1989   11  0.6546  0.0023  0.0720  0.3156  0.0525  0.12
Luisada 1991   58  0.5176  0.0064  0.0364  0.0376  0.0375  0.03
Lushtak 2004   27  0.6128  0.0010  0.089  0.3954  0.0522  0.14
Malcuzynski 1961   26  0.6136  0.0045  0.0544  0.1038  0.1328  0.11
Magaloff 1978   13  0.6512  0.0225  0.0522  0.3044  0.1317  0.20
Magin 1975   66  0.4931  0.0081  0.0285  0.0278  0.0388  0.02
Michalowski 1933   32  0.6065  0.0013  0.0710  0.3919  0.404  0.39
Milkina 1970   28  0.6152  0.0046  0.0450  0.0472  0.0458  0.04
Mohovich 1999   21  0.6250  0.0043  0.0537  0.1363  0.0449  0.07
Moravec 1969   48  0.5545  0.0060  0.0369  0.0342  0.2039  0.08
Morozova 2008   64  0.5059  0.0066  0.0373  0.0384  0.0290  0.02
Neighaus 1950   20  0.6327  0.0124  0.0821  0.3178  0.0432  0.11
Niedzielski 1931   57  0.5216  0.0161  0.0455  0.0471  0.0379  0.03
Ohlsson 1999   38  0.5838  0.0057  0.0456  0.0469  0.0461  0.04
Osinska 1989   3  0.6911  0.025  0.085  0.4429  0.316  0.37
Pachmann 1927   49  0.5510  0.0328  0.0545  0.1019  0.3419  0.18
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   30  0.6024  0.0141  0.0634  0.1752  0.0537  0.09
Pierdomenico 2008   55  0.5240  0.0052  0.0452  0.0438  0.1740  0.08
Poblocka 1999   10  0.666  0.046  0.097  0.4323  0.288  0.35
Rabcewiczowa 1932   4  0.6974  0.009  0.088  0.4014  0.422  0.41
Rachmaninoff 1923   76  0.4668  0.0079  0.0287  0.0289  0.0287  0.02
Rangell 2001   42  0.575  0.0418  0.0627  0.2132  0.2615  0.23
Richter 1976   75  0.4633  0.0082  0.0288  0.0267  0.0481  0.03
Rosen 1989   22  0.6281  0.0020  0.0824  0.2540  0.1518  0.19
Rosenthal 1930   50  0.5484  0.0067  0.0372  0.0348  0.0564  0.04
Rosenthal 1931   82  0.4361  0.0087  0.0461  0.0469  0.0382  0.03
Rosenthal 1931b   79  0.4487  0.0086  0.0374  0.0357  0.0485  0.03
Rosenthal 1931c   44  0.5619  0.0148  0.0548  0.0537  0.1935  0.10
Rosenthal 1931d   71  0.4790  0.0085  0.0460  0.0461  0.0569  0.04
Rossi 2007   80  0.4349  0.0073  0.0382  0.0350  0.0654  0.04
Rubinstein 1939   85  0.3847  0.0088  0.0459  0.0452  0.0556  0.04
Rubinstein 1952   61  0.5178  0.0077  0.0367  0.0352  0.0671  0.04
Rubinstein 1966   45  0.5667  0.0050  0.0547  0.0549  0.0652  0.05
Schilhawsky 1960   41  0.5718  0.0138  0.0533  0.1870  0.0442  0.08
Shebanova 2002   18  0.6313  0.0219  0.0823  0.2939  0.1616  0.22
Smith 1975   17  0.6341  0.0016  0.0818  0.3346  0.0524  0.13
Sokolov 2002   52  0.5448  0.0076  0.0375  0.0384  0.0377  0.03
Sztompka 1959   7  0.683  0.124  0.142  0.5124  0.333  0.41
Tomsic 1995   47  0.5553  0.0058  0.0453  0.0464  0.0460  0.04
Uninsky 1932   51  0.5443  0.0044  0.0543  0.1166  0.0547  0.07
Uninsky 1971   40  0.5723  0.0135  0.0630  0.1944  0.1121  0.14
Wasowski 1980   46  0.5571  0.0056  0.0379  0.0381  0.0476  0.03
Zak 1937   62  0.5085  0.0078  0.0457  0.0475  0.0457  0.04
Zak 1951   67  0.4970  0.0074  0.0371  0.0384  0.0380  0.03
Average   1  0.751  0.211  0.211  0.6059  0.0420  0.15
Random 1   91  -0.2280  0.0091  0.0191  0.0182  0.0291  0.01
Random 2   89  0.0163  0.0089  0.0286  0.027  0.4734  0.10
Random 3   90  -0.0589  0.0090  0.0290  0.0256  0.0584  0.03

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).