Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.3731  0.0047  0.0554  0.0550  0.0552  0.05
Anderszewski 2003   60  0.2857  0.0054  0.0552  0.0578  0.0360  0.04
Ashkenazy 1981   47  0.3336  0.0067  0.0646  0.0652  0.0453  0.05
Bacha 2000   52  0.3284  0.0056  0.0467  0.0480  0.0370  0.03
Badura 1965   67  0.2544  0.0061  0.0463  0.0470  0.0379  0.03
Barbosa 1983   66  0.2662  0.0055  0.0561  0.0580  0.0359  0.04
Biret 1990   53  0.3149  0.0042  0.0538  0.1569  0.0441  0.08
Blet 2003   54  0.3150  0.0064  0.0558  0.0580  0.0361  0.04
Block 1995   80  0.1924  0.0038  0.0544  0.1078  0.0449  0.06
Blumental 1952   69  0.2585  0.0076  0.0466  0.0472  0.0467  0.04
Boshniakovich 1969   22  0.3956  0.0024  0.0822  0.4065  0.0429  0.13
Brailowsky 1960   88  0.0786  0.0089  0.0190  0.0188  0.0189  0.01
Bunin 1987   49  0.3369  0.0052  0.0648  0.0657  0.0554  0.05
Bunin 1987b   46  0.3440  0.0051  0.0553  0.0565  0.0456  0.04
Chiu 1999   27  0.3852  0.0035  0.0931  0.2665  0.0532  0.11
Cohen 1997   32  0.3732  0.0026  0.0633  0.2322  0.2710  0.25
Cortot 1951   82  0.1864  0.0079  0.0285  0.0263  0.0484  0.03
Csalog 1996   26  0.3813  0.0110  0.1411  0.4845  0.1112  0.23
Czerny 1949   11  0.4229  0.0022  0.1012  0.4747  0.0815  0.19
Czerny 1990   45  0.3425  0.0053  0.0560  0.0567  0.0468  0.04
Duchoud 2007   41  0.3426  0.0037  0.0636  0.1927  0.449  0.29
Ezaki 2006   30  0.3721  0.0031  0.0828  0.2968  0.0530  0.12
Falvay 1989   24  0.398  0.0213  0.1020  0.4178  0.0425  0.13
Farrell 1958   37  0.3612  0.018  0.108  0.5339  0.247  0.36
Ferenczy 1958   61  0.2770  0.0073  0.0377  0.0370  0.0478  0.03
Fliere 1977   15  0.4279  0.0018  0.0921  0.4071  0.0522  0.14
Fou 1978   16  0.4117  0.0114  0.0924  0.3558  0.0526  0.13
Francois 1956   50  0.3316  0.0140  0.0441  0.1254  0.0542  0.08
Friedman 1923   84  0.1782  0.0081  0.0384  0.0383  0.0386  0.03
Friedman 1923b   83  0.1875  0.0082  0.0374  0.0384  0.0380  0.03
Friedman 1930   76  0.2263  0.0077  0.0556  0.0569  0.0462  0.04
Garcia 2007   2  0.501  0.331  0.331  0.712  0.741  0.72
Garcia 2007b   3  0.502  0.262  0.382  0.7012  0.582  0.64
Gierzod 1998   5  0.4841  0.005  0.096  0.5465  0.0421  0.15
Gornostaeva 1994   17  0.4147  0.0030  0.0727  0.3061  0.0435  0.11
Groot 1988   75  0.2287  0.0071  0.0375  0.0385  0.0382  0.03
Harasiewicz 1955   35  0.3755  0.0032  0.0634  0.2361  0.0536  0.11
Hatto 1993   72  0.2466  0.0065  0.0559  0.0564  0.0469  0.04
Hatto 1997   64  0.2776  0.0057  0.0468  0.0462  0.0463  0.04
Horowitz 1949   87  0.1071  0.0088  0.0289  0.0288  0.0287  0.02
Indjic 1988   65  0.2653  0.0060  0.0469  0.0463  0.0458  0.04
Kapell 1951   8  0.4334  0.007  0.107  0.5445  0.1111  0.24
Kissin 1993   25  0.3858  0.0034  0.0726  0.3252  0.0819  0.16
Kushner 1989   23  0.3920  0.0128  0.0723  0.3975  0.0431  0.12
Luisada 1991   62  0.2788  0.0075  0.0473  0.0468  0.0455  0.04
Lushtak 2004   63  0.2754  0.0058  0.0471  0.0472  0.0465  0.04
Malcuzynski 1961   12  0.429  0.029  0.1310  0.5057  0.0617  0.17
Magaloff 1978   57  0.3035  0.0069  0.0464  0.0486  0.0274  0.03
Magin 1975   28  0.3865  0.0039  0.0537  0.1587  0.0343  0.07
Michalowski 1933   68  0.2518  0.0162  0.0465  0.0428  0.2638  0.10
Milkina 1970   18  0.4128  0.0027  0.0714  0.4571  0.0427  0.13
Mohovich 1999   56  0.3048  0.0043  0.0445  0.1053  0.0546  0.07
Moravec 1969   55  0.3080  0.0072  0.0382  0.0380  0.0371  0.03
Morozova 2008   39  0.3572  0.0041  0.0540  0.1268  0.0540  0.08
Neighaus 1950   70  0.2461  0.0074  0.0378  0.0377  0.0383  0.03
Niedzielski 1931   59  0.2811  0.0125  0.0739  0.1444  0.0933  0.11
Ohlsson 1999   48  0.3315  0.0121  0.0829  0.2971  0.0434  0.11
Osinska 1989   9  0.4323  0.0015  0.0913  0.4760  0.0616  0.17
Pachmann 1927   43  0.3422  0.0049  0.0649  0.0634  0.3028  0.13
Paderewski 1930   29  0.387  0.0316  0.0825  0.336  0.595  0.44
Perlemuter 1992   13  0.426  0.0317  0.0717  0.4422  0.406  0.42
Pierdomenico 2008   4  0.495  0.034  0.134  0.554  0.653  0.60
Poblocka 1999   81  0.1830  0.0083  0.0383  0.0383  0.0372  0.03
Rabcewiczowa 1932   34  0.3773  0.0033  0.0730  0.2768  0.0437  0.10
Rachmaninoff 1923   85  0.1633  0.0068  0.0470  0.0480  0.0375  0.03
Rangell 2001   6  0.4427  0.006  0.115  0.5423  0.444  0.49
Richter 1976   40  0.3581  0.0050  0.0647  0.0679  0.0357  0.04
Rosen 1989   20  0.4039  0.0046  0.0557  0.0573  0.0466  0.04
Rosenthal 1930   86  0.1677  0.0086  0.0286  0.0289  0.0190  0.01
Rosenthal 1931   78  0.2189  0.0085  0.0472  0.0478  0.0377  0.03
Rosenthal 1931b   74  0.2274  0.0084  0.0379  0.0380  0.0385  0.03
Rosenthal 1931c   71  0.2490  0.0078  0.0381  0.0385  0.0288  0.02
Rosenthal 1931d   77  0.2191  0.0070  0.0376  0.0379  0.0381  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   44  0.3438  0.0029  0.0735  0.2173  0.0339  0.08
Rubinstein 1952   14  0.423  0.0512  0.149  0.5167  0.0424  0.14
Rubinstein 1966   10  0.4242  0.0023  0.1015  0.4561  0.0520  0.15
Schilhawsky 1960   36  0.3667  0.0048  0.0650  0.0657  0.0451  0.05
Shebanova 2002   51  0.3259  0.0066  0.0562  0.0582  0.0364  0.04
Smith 1975   79  0.2045  0.0080  0.0380  0.0379  0.0376  0.03
Sokolov 2002   73  0.2346  0.0059  0.0555  0.0586  0.0273  0.03
Sztompka 1959   38  0.3551  0.0044  0.0442  0.1172  0.0444  0.07
Tomsic 1995   7  0.444  0.0411  0.1319  0.4233  0.258  0.32
Uninsky 1932   42  0.3437  0.0036  0.0832  0.2437  0.2313  0.23
Uninsky 1971   31  0.3760  0.0045  0.0543  0.1170  0.0445  0.07
Wasowski 1980   58  0.2983  0.0063  0.0551  0.0560  0.0650  0.05
Zak 1937   19  0.4143  0.0020  0.0918  0.4447  0.0618  0.16
Zak 1951   21  0.4019  0.0119  0.0716  0.4443  0.0914  0.20
Average   1  0.5110  0.023  0.283  0.6788  0.0323  0.14
Random 1   91  -0.1778  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   90  -0.0468  0.0090  0.0287  0.0234  0.1848  0.06
Random 3   89  -0.0214  0.0187  0.0288  0.0223  0.2847  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).