Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.1656  0.0080  0.0285  0.0288  0.0286  0.02
Anderszewski 2003   74  0.1278  0.0066  0.0557  0.0576  0.0358  0.04
Ashkenazy 1981   67  0.1545  0.0075  0.0471  0.0487  0.0372  0.03
Bacha 2000   69  0.1572  0.0081  0.0277  0.0281  0.0378  0.02
Badura 1965   81  0.0831  0.0065  0.0468  0.0469  0.0369  0.03
Barbosa 1983   80  0.0979  0.0070  0.0373  0.0382  0.0284  0.02
Biret 1990   15  0.2836  0.0040  0.0635  0.2480  0.0341  0.08
Blet 2003   62  0.1738  0.0063  0.0553  0.0586  0.0266  0.03
Block 1995   41  0.2227  0.0031  0.0733  0.2679  0.0337  0.09
Blumental 1952   84  0.0684  0.0085  0.0279  0.0287  0.0287  0.02
Boshniakovich 1969   13  0.2859  0.0022  0.0725  0.3483  0.0424  0.12
Brailowsky 1960   87  0.0455  0.0090  0.0190  0.0189  0.0289  0.01
Bunin 1987   53  0.1981  0.0053  0.0465  0.0485  0.0373  0.03
Bunin 1987b   52  0.1980  0.0052  0.0470  0.0464  0.0456  0.04
Chiu 1999   27  0.2526  0.0046  0.0746  0.0781  0.0347  0.05
Cohen 1997   16  0.2822  0.0023  0.0730  0.3058  0.0429  0.11
Cortot 1951   35  0.2344  0.0037  0.0636  0.2465  0.0530  0.11
Csalog 1996   4  0.368  0.023  0.202  0.6933  0.162  0.33
Czerny 1949   11  0.3021  0.0126  0.0722  0.3762  0.0516  0.14
Czerny 1990   72  0.1477  0.0073  0.0375  0.0386  0.0374  0.03
Duchoud 2007   44  0.2253  0.0041  0.0737  0.2270  0.0436  0.09
Ezaki 2006   40  0.2254  0.0059  0.0560  0.0579  0.0452  0.04
Falvay 1989   45  0.2123  0.0020  0.0734  0.2581  0.0335  0.09
Farrell 1958   46  0.212  0.085  0.1211  0.4838  0.155  0.27
Ferenczy 1958   70  0.1466  0.0077  0.0376  0.0378  0.0368  0.03
Fliere 1977   9  0.3214  0.017  0.116  0.6079  0.0413  0.15
Fou 1978   50  0.2070  0.0062  0.0554  0.0570  0.0454  0.04
Francois 1956   32  0.2419  0.0147  0.0745  0.0771  0.0351  0.05
Friedman 1923   55  0.1869  0.0056  0.0559  0.0586  0.0363  0.04
Friedman 1923b   57  0.1849  0.0057  0.0561  0.0583  0.0361  0.04
Friedman 1930   58  0.1875  0.0061  0.0555  0.0584  0.0360  0.04
Garcia 2007   22  0.2515  0.018  0.157  0.5964  0.0510  0.17
Garcia 2007b   24  0.2525  0.0034  0.0724  0.3547  0.0618  0.14
Gierzod 1998   29  0.2430  0.0024  0.0726  0.3472  0.0423  0.12
Gornostaeva 1994   2  0.394  0.044  0.133  0.6548  0.078  0.21
Groot 1988   64  0.1685  0.0068  0.0462  0.0479  0.0376  0.03
Harasiewicz 1955   28  0.2476  0.0035  0.0731  0.2982  0.0338  0.09
Hatto 1993   82  0.0890  0.0084  0.0280  0.0288  0.0288  0.02
Hatto 1997   76  0.1089  0.0082  0.0281  0.0287  0.0385  0.02
Horowitz 1949   85  0.0557  0.0086  0.0287  0.0288  0.0282  0.02
Indjic 1988   83  0.0686  0.0083  0.0283  0.0288  0.0283  0.02
Kapell 1951   56  0.1852  0.0054  0.0464  0.0481  0.0365  0.03
Kissin 1993   36  0.2350  0.0016  0.0810  0.5069  0.0512  0.16
Kushner 1989   26  0.2560  0.0032  0.0727  0.3387  0.0332  0.10
Luisada 1991   71  0.1468  0.0076  0.0278  0.0285  0.0380  0.02
Lushtak 2004   21  0.2520  0.0118  0.0912  0.4868  0.0417  0.14
Malcuzynski 1961   25  0.2533  0.0014  0.119  0.5763  0.059  0.17
Magaloff 1978   3  0.363  0.062  0.215  0.6161  0.0411  0.16
Magin 1975   18  0.2618  0.0125  0.0719  0.3965  0.0420  0.12
Michalowski 1933   47  0.2163  0.0051  0.0466  0.0454  0.0648  0.05
Milkina 1970   60  0.1762  0.0045  0.0748  0.0787  0.0255  0.04
Mohovich 1999   51  0.2067  0.0058  0.0463  0.0484  0.0371  0.03
Moravec 1969   73  0.1387  0.0074  0.0372  0.0388  0.0279  0.02
Morozova 2008   61  0.1741  0.0067  0.0558  0.0582  0.0359  0.04
Neighaus 1950   38  0.2224  0.0038  0.0640  0.2083  0.0342  0.08
Niedzielski 1931   66  0.169  0.0221  0.0742  0.1765  0.0439  0.08
Ohlsson 1999   17  0.2643  0.0029  0.0723  0.3686  0.0333  0.10
Osinska 1989   1  0.451  0.541  0.531  0.8535  0.251  0.46
Pachmann 1927   10  0.3113  0.0112  0.1518  0.4138  0.177  0.26
Paderewski 1930   20  0.2610  0.0213  0.1216  0.4443  0.176  0.27
Perlemuter 1992   7  0.327  0.026  0.104  0.6440  0.143  0.30
Pierdomenico 2008   6  0.3211  0.0210  0.1613  0.4737  0.174  0.28
Poblocka 1999   68  0.1573  0.0078  0.0282  0.0281  0.0381  0.02
Rabcewiczowa 1932   8  0.3217  0.0115  0.0914  0.4764  0.0514  0.15
Rachmaninoff 1923   78  0.1037  0.0055  0.0651  0.0687  0.0264  0.03
Rangell 2001   54  0.1982  0.0042  0.0838  0.2079  0.0245  0.06
Richter 1976   14  0.2832  0.0019  0.0829  0.3178  0.0426  0.11
Rosen 1989   5  0.325  0.0311  0.1117  0.4269  0.0419  0.13
Rosenthal 1930   86  0.0483  0.0089  0.0189  0.0189  0.0190  0.01
Rosenthal 1931   79  0.1074  0.0069  0.0469  0.0471  0.0457  0.04
Rosenthal 1931b   75  0.1165  0.0072  0.0467  0.0481  0.0377  0.03
Rosenthal 1931c   63  0.1788  0.0064  0.0649  0.0677  0.0362  0.04
Rosenthal 1931d   77  0.1058  0.0071  0.0374  0.0379  0.0375  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   59  0.1828  0.0039  0.0643  0.1685  0.0243  0.06
Rubinstein 1952   12  0.3012  0.019  0.148  0.5768  0.0415  0.15
Rubinstein 1966   31  0.2434  0.0030  0.0920  0.3973  0.0328  0.11
Schilhawsky 1960   37  0.2351  0.0060  0.0650  0.0686  0.0267  0.03
Shebanova 2002   34  0.2346  0.0049  0.0652  0.0680  0.0450  0.05
Smith 1975   30  0.2440  0.0050  0.0556  0.0577  0.0353  0.04
Sokolov 2002   43  0.2247  0.0048  0.0747  0.0774  0.0346  0.05
Sztompka 1959   23  0.2564  0.0036  0.0832  0.2873  0.0427  0.11
Tomsic 1995   33  0.2435  0.0043  0.0841  0.1872  0.0440  0.08
Uninsky 1932   49  0.2129  0.0017  0.0915  0.4683  0.0322  0.12
Uninsky 1971   19  0.2648  0.0033  0.0844  0.1486  0.0249  0.05
Wasowski 1980   48  0.2171  0.0044  0.1039  0.2058  0.0531  0.10
Zak 1937   42  0.2239  0.0028  0.0728  0.3368  0.0425  0.11
Zak 1951   39  0.226  0.0227  0.0621  0.3778  0.0421  0.12
Random 1   89  -0.0442  0.0087  0.0188  0.0140  0.1170  0.03
Random 2   90  -0.0561  0.0088  0.0286  0.0233  0.1944  0.06
Random 3   88  0.0016  0.0179  0.0284  0.027  0.4834  0.10

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).