Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  -0.0343  0.0089  0.0189  0.0189  0.0188  0.01
Anderszewski 2003   76  -0.0381  0.0079  0.0374  0.0389  0.0179  0.02
Ashkenazy 1981   74  -0.0182  0.0073  0.0379  0.0386  0.0283  0.02
Bacha 2000   75  -0.0154  0.0085  0.0384  0.0390  0.0172  0.02
Badura 1965   88  -0.0877  0.0078  0.0381  0.0389  0.0282  0.02
Barbosa 1983   86  -0.0778  0.0083  0.0467  0.0489  0.0267  0.03
Biret 1990   11  0.2431  0.0040  0.0534  0.1664  0.0436  0.08
Blet 2003   60  0.0329  0.0064  0.0461  0.0485  0.0268  0.03
Block 1995   9  0.2533  0.006  0.128  0.5861  0.0512  0.17
Blumental 1952   89  -0.1183  0.0088  0.0188  0.0190  0.0189  0.01
Boshniakovich 1969   25  0.1755  0.0016  0.1024  0.2984  0.0331  0.09
Brailowsky 1960   66  0.0038  0.0076  0.0378  0.0388  0.0275  0.02
Bunin 1987   51  0.0532  0.0059  0.0554  0.0581  0.0357  0.04
Bunin 1987b   53  0.0526  0.0058  0.0549  0.0584  0.0351  0.04
Chiu 1999   37  0.1184  0.0067  0.0471  0.0487  0.0262  0.03
Cohen 1997   23  0.1815  0.0037  0.0539  0.1274  0.0342  0.06
Cortot 1951   7  0.285  0.023  0.196  0.5932  0.353  0.45
Csalog 1996   4  0.3336  0.007  0.133  0.6956  0.069  0.20
Czerny 1949   22  0.1823  0.0039  0.0541  0.1162  0.0538  0.07
Czerny 1990   79  -0.0563  0.0072  0.0376  0.0386  0.0284  0.02
Duchoud 2007   43  0.0921  0.0041  0.0538  0.1281  0.0341  0.06
Ezaki 2006   46  0.0749  0.0066  0.0464  0.0487  0.0261  0.03
Falvay 1989   55  0.0437  0.0048  0.0462  0.0488  0.0264  0.03
Farrell 1958   49  0.066  0.0231  0.0633  0.1958  0.0527  0.10
Ferenczy 1958   61  0.0270  0.0075  0.0373  0.0379  0.0369  0.03
Fliere 1977   14  0.2256  0.0010  0.1817  0.4365  0.0516  0.15
Fou 1978   71  0.0085  0.0080  0.0383  0.0388  0.0176  0.02
Francois 1956   26  0.1525  0.0053  0.0550  0.0571  0.0360  0.04
Friedman 1923   18  0.2041  0.0014  0.1110  0.5564  0.0610  0.18
Friedman 1923b   20  0.1846  0.0015  0.1211  0.5162  0.0614  0.17
Friedman 1930   32  0.1424  0.0035  0.0735  0.1480  0.0340  0.06
Garcia 2007   67  0.0064  0.0056  0.0553  0.0585  0.0356  0.04
Garcia 2007b   68  0.0065  0.0082  0.0380  0.0388  0.0285  0.02
Gierzod 1998   65  0.0044  0.0060  0.0552  0.0576  0.0355  0.04
Gornostaeva 1994   3  0.374  0.035  0.155  0.6240  0.215  0.36
Groot 1988   38  0.1158  0.0062  0.0465  0.0485  0.0371  0.03
Harasiewicz 1955   36  0.1257  0.0054  0.0646  0.0684  0.0359  0.04
Hatto 1993   87  -0.0786  0.0086  0.0286  0.0289  0.0190  0.01
Hatto 1997   80  -0.0587  0.0087  0.0187  0.0190  0.0187  0.01
Horowitz 1949   64  0.0188  0.0057  0.0647  0.0684  0.0266  0.03
Indjic 1988   90  -0.1271  0.0090  0.0190  0.0190  0.0186  0.01
Kapell 1951   83  -0.0672  0.0084  0.0285  0.0286  0.0277  0.02
Kissin 1993   47  0.0711  0.0119  0.1114  0.4564  0.0615  0.16
Kushner 1989   39  0.1167  0.0051  0.0560  0.0583  0.0349  0.04
Luisada 1991   63  0.0189  0.0074  0.0375  0.0388  0.0274  0.02
Lushtak 2004   12  0.233  0.064  0.174  0.6434  0.186  0.34
Malcuzynski 1961   45  0.0890  0.0034  0.0732  0.2279  0.0335  0.08
Magaloff 1978   2  0.422  0.342  0.572  0.8119  0.482  0.62
Magin 1975   31  0.1414  0.0121  0.0821  0.3362  0.0519  0.13
Michalowski 1933   24  0.1727  0.0026  0.0727  0.2566  0.0623  0.12
Milkina 1970   81  -0.0551  0.0049  0.0556  0.0578  0.0350  0.04
Mohovich 1999   41  0.0952  0.0029  0.0737  0.1288  0.0246  0.05
Moravec 1969   78  -0.0468  0.0071  0.0468  0.0489  0.0173  0.02
Morozova 2008   72  0.0060  0.0077  0.0377  0.0389  0.0180  0.02
Neighaus 1950   16  0.2148  0.0013  0.1113  0.4587  0.0232  0.09
Niedzielski 1931   54  0.0420  0.0038  0.0540  0.1275  0.0437  0.07
Ohlsson 1999   19  0.1928  0.0025  0.0729  0.2575  0.0429  0.10
Osinska 1989   1  0.471  0.371  0.361  0.8711  0.671  0.76
Pachmann 1927   6  0.2834  0.009  0.1212  0.5063  0.0611  0.17
Paderewski 1930   33  0.1359  0.0027  0.0822  0.3281  0.0328  0.10
Perlemuter 1992   13  0.2235  0.0011  0.109  0.5571  0.0417  0.15
Pierdomenico 2008   27  0.1547  0.0028  0.0631  0.2481  0.0334  0.08
Poblocka 1999   35  0.1261  0.0061  0.0557  0.0581  0.0348  0.04
Rabcewiczowa 1932   8  0.2730  0.0024  0.0625  0.2648  0.0818  0.14
Rachmaninoff 1923   56  0.0473  0.0046  0.0463  0.0478  0.0363  0.03
Rangell 2001   82  -0.0674  0.0069  0.0555  0.0587  0.0270  0.03
Richter 1976   15  0.2175  0.0017  0.1019  0.3970  0.0422  0.12
Rosen 1989   10  0.259  0.018  0.1315  0.4579  0.0324  0.12
Rosenthal 1930   84  -0.0679  0.0081  0.0382  0.0390  0.0181  0.02
Rosenthal 1931   73  0.0076  0.0042  0.0543  0.0947  0.0930  0.09
Rosenthal 1931b   70  0.0066  0.0047  0.0469  0.0449  0.0647  0.05
Rosenthal 1931c   40  0.1062  0.0033  0.0626  0.2648  0.0625  0.12
Rosenthal 1931d   69  0.0050  0.0063  0.0551  0.0570  0.0358  0.04
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   62  0.0239  0.0045  0.0470  0.0478  0.0365  0.03
Rubinstein 1952   21  0.1810  0.0118  0.1016  0.4443  0.108  0.21
Rubinstein 1966   50  0.0522  0.0050  0.0548  0.0584  0.0352  0.04
Schilhawsky 1960   42  0.0969  0.0068  0.0645  0.0681  0.0353  0.04
Shebanova 2002   30  0.1440  0.0052  0.0558  0.0578  0.0454  0.04
Smith 1975   5  0.2916  0.0012  0.107  0.5844  0.107  0.24
Sokolov 2002   17  0.2017  0.0032  0.0630  0.2463  0.0333  0.08
Sztompka 1959   28  0.147  0.0222  0.1020  0.3876  0.0326  0.11
Tomsic 1995   58  0.0480  0.0065  0.0466  0.0489  0.0178  0.02
Uninsky 1932   48  0.0719  0.0020  0.1418  0.4276  0.0420  0.13
Uninsky 1971   29  0.1445  0.0036  0.0636  0.1487  0.0245  0.05
Wasowski 1980   34  0.1312  0.0123  0.0823  0.3170  0.0521  0.12
Zak 1937   57  0.0442  0.0044  0.0544  0.0984  0.0343  0.05
Zak 1951   52  0.058  0.0143  0.0442  0.0978  0.0344  0.05
Random 1   44  0.0918  0.0030  0.0828  0.251  0.584  0.38
Random 2   85  -0.0753  0.0070  0.0472  0.0443  0.1239  0.07
Random 3   59  0.0313  0.0155  0.0559  0.057  0.5513  0.17

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).