Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5119  0.0139  0.0837  0.2481  0.0342  0.08
Anderszewski 2003   16  0.5474  0.0031  0.0926  0.3375  0.0338  0.10
Ashkenazy 1981   53  0.4332  0.0066  0.0471  0.0483  0.0381  0.03
Bacha 2000   12  0.5579  0.0023  0.0523  0.3540  0.1314  0.21
Badura 1965   66  0.3960  0.0074  0.0482  0.0483  0.0380  0.03
Barbosa 1983   68  0.3976  0.0048  0.0650  0.0662  0.0552  0.05
Biret 1990   9  0.5562  0.0011  0.169  0.5278  0.0424  0.14
Blet 2003   58  0.4142  0.0056  0.0466  0.0475  0.0375  0.03
Block 1995   71  0.3865  0.0053  0.0652  0.0663  0.0454  0.05
Blumental 1952   5  0.5712  0.0210  0.138  0.5271  0.0423  0.14
Boshniakovich 1969   50  0.4424  0.0052  0.0654  0.0682  0.0455  0.05
Brailowsky 1960   73  0.3687  0.0082  0.0388  0.0386  0.0287  0.02
Bunin 1987   87  0.1753  0.0088  0.0480  0.0485  0.0382  0.03
Bunin 1987b   88  0.1754  0.0087  0.0481  0.0482  0.0370  0.03
Chiu 1999   14  0.5451  0.0040  0.0740  0.2171  0.0439  0.09
Cohen 1997   26  0.4925  0.0042  0.0542  0.1526  0.2715  0.20
Cortot 1951   70  0.3863  0.0072  0.0479  0.0444  0.1047  0.06
Csalog 1996   67  0.3915  0.0115  0.1128  0.3235  0.1812  0.24
Czerny 1949   37  0.4634  0.0054  0.0749  0.0781  0.0353  0.05
Czerny 1990   7  0.5643  0.0019  0.0819  0.3974  0.0431  0.12
Duchoud 2007   79  0.3140  0.0079  0.0385  0.0380  0.0378  0.03
Ezaki 2006   4  0.5817  0.0114  0.127  0.5549  0.0617  0.18
Falvay 1989   17  0.5330  0.0017  0.1010  0.4827  0.403  0.44
Farrell 1958   6  0.573  0.092  0.174  0.5715  0.501  0.53
Ferenczy 1958   56  0.4283  0.0055  0.0653  0.0677  0.0365  0.04
Fliere 1977   32  0.4871  0.0050  0.0847  0.0886  0.0348  0.05
Fou 1978   10  0.5526  0.0020  0.0716  0.4156  0.0520  0.14
Francois 1956   36  0.4721  0.0127  0.0533  0.2948  0.0627  0.13
Friedman 1923   52  0.4335  0.0069  0.0557  0.0572  0.0557  0.05
Friedman 1923b   49  0.4448  0.0067  0.0463  0.0480  0.0383  0.03
Friedman 1930   48  0.4472  0.0068  0.0464  0.0466  0.0464  0.04
Garcia 2007   15  0.5422  0.0113  0.105  0.5618  0.492  0.52
Garcia 2007b   18  0.527  0.039  0.1011  0.4636  0.238  0.33
Gierzod 1998   21  0.5133  0.0026  0.0621  0.3663  0.0429  0.12
Gornostaeva 1994   24  0.4938  0.0028  0.0530  0.3254  0.0434  0.11
Groot 1988   69  0.3984  0.0049  0.0651  0.0683  0.0456  0.05
Harasiewicz 1955   8  0.5510  0.0221  0.0825  0.3368  0.0435  0.11
Hatto 1993   47  0.4588  0.0064  0.0477  0.0480  0.0384  0.03
Hatto 1997   39  0.4689  0.0058  0.0462  0.0482  0.0377  0.03
Horowitz 1949   84  0.2961  0.0085  0.0476  0.0488  0.0271  0.03
Indjic 1988   40  0.4690  0.0061  0.0468  0.0482  0.0374  0.03
Kapell 1951   54  0.4341  0.0025  0.0527  0.3373  0.0433  0.11
Kissin 1993   34  0.4757  0.0037  0.0736  0.2665  0.0437  0.10
Kushner 1989   43  0.4658  0.0041  0.0543  0.1385  0.0249  0.05
Luisada 1991   28  0.4980  0.0038  0.0735  0.2665  0.0532  0.11
Lushtak 2004   55  0.4381  0.0057  0.0558  0.0578  0.0367  0.04
Malcuzynski 1961   19  0.512  0.155  0.156  0.5621  0.354  0.44
Magaloff 1978   30  0.4829  0.0034  0.0731  0.3048  0.0625  0.13
Magin 1975   63  0.4049  0.0051  0.0655  0.0678  0.0360  0.04
Michalowski 1933   82  0.3059  0.0084  0.0470  0.0487  0.0373  0.03
Milkina 1970   3  0.596  0.063  0.193  0.5955  0.0616  0.19
Mohovich 1999   41  0.4636  0.0035  0.0920  0.3764  0.0430  0.12
Moravec 1969   20  0.5118  0.0116  0.1114  0.4422  0.405  0.42
Morozova 2008   59  0.4173  0.0065  0.0465  0.0486  0.0276  0.03
Neighaus 1950   64  0.4077  0.0070  0.0556  0.0588  0.0369  0.04
Niedzielski 1931   38  0.4611  0.0222  0.0624  0.3353  0.0526  0.13
Ohlsson 1999   62  0.4016  0.0160  0.0472  0.0476  0.0461  0.04
Osinska 1989   2  0.611  0.231  0.231  0.6741  0.149  0.31
Pachmann 1927   72  0.3766  0.0083  0.0473  0.0486  0.0272  0.03
Paderewski 1930   25  0.4931  0.0032  0.0634  0.2726  0.3510  0.31
Perlemuter 1992   23  0.5014  0.0143  0.0541  0.1878  0.0343  0.07
Pierdomenico 2008   35  0.479  0.037  0.0818  0.4015  0.456  0.42
Poblocka 1999   85  0.2844  0.0080  0.0469  0.0473  0.0458  0.04
Rabcewiczowa 1932   44  0.4675  0.0044  0.0644  0.1377  0.0444  0.07
Rachmaninoff 1923   29  0.4864  0.0045  0.0645  0.1255  0.0541  0.08
Rangell 2001   65  0.4020  0.0130  0.0732  0.2942  0.1913  0.23
Richter 1976   86  0.2323  0.0186  0.0384  0.0385  0.0288  0.02
Rosen 1989   13  0.5413  0.018  0.0917  0.4161  0.0522  0.14
Rosenthal 1930   83  0.2985  0.0081  0.0386  0.0379  0.0379  0.03
Rosenthal 1931   81  0.3186  0.0078  0.0460  0.0460  0.0462  0.04
Rosenthal 1931b   78  0.3378  0.0076  0.0387  0.0368  0.0485  0.03
Rosenthal 1931c   75  0.3367  0.0071  0.0475  0.0475  0.0386  0.03
Rosenthal 1931d   76  0.3382  0.0077  0.0461  0.0452  0.0568  0.04
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   33  0.4852  0.0024  0.0615  0.4247  0.0619  0.16
Rubinstein 1952   57  0.424  0.076  0.1013  0.4541  0.1611  0.27
Rubinstein 1966   11  0.558  0.0312  0.1212  0.4551  0.0718  0.18
Schilhawsky 1960   74  0.3569  0.0059  0.0467  0.0470  0.0463  0.04
Shebanova 2002   60  0.4068  0.0062  0.0383  0.0388  0.0289  0.02
Smith 1975   45  0.4570  0.0029  0.0538  0.2470  0.0436  0.10
Sokolov 2002   77  0.3339  0.0075  0.0474  0.0465  0.0459  0.04
Sztompka 1959   31  0.4847  0.0036  0.0739  0.2273  0.0440  0.09
Tomsic 1995   51  0.4428  0.0033  0.0729  0.3231  0.357  0.33
Uninsky 1932   61  0.4055  0.0063  0.0478  0.0467  0.0466  0.04
Uninsky 1971   80  0.3137  0.0073  0.0559  0.0571  0.0551  0.05
Wasowski 1980   27  0.4927  0.0018  0.0822  0.3671  0.0428  0.12
Zak 1937   42  0.4650  0.0047  0.0946  0.0980  0.0445  0.06
Zak 1951   46  0.4545  0.0046  0.0748  0.0776  0.0450  0.05
Average   1  0.625  0.064  0.172  0.6676  0.0321  0.14
Random 1   91  -0.2091  0.0091  0.0191  0.0188  0.0191  0.01
Random 2   90  -0.1256  0.0090  0.0190  0.0170  0.0390  0.02
Random 3   89  -0.0646  0.0089  0.0289  0.0237  0.1746  0.06

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).