Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   78  -0.0343  0.0090  0.0190  0.0190  0.0189  0.01
Anderszewski 2003   77  -0.0382  0.0080  0.0375  0.0390  0.0180  0.02
Ashkenazy 1981   75  -0.0183  0.0074  0.0380  0.0387  0.0284  0.02
Bacha 2000   76  -0.0154  0.0086  0.0385  0.0391  0.0172  0.02
Badura 1965   89  -0.0877  0.0079  0.0382  0.0390  0.0283  0.02
Barbosa 1983   87  -0.0778  0.0084  0.0468  0.0490  0.0179  0.02
Biret 1990   11  0.2431  0.0041  0.0535  0.1665  0.0437  0.08
Blet 2003   61  0.0329  0.0065  0.0462  0.0486  0.0268  0.03
Block 1995   9  0.2533  0.006  0.128  0.5862  0.0512  0.17
Blumental 1952   90  -0.1184  0.0089  0.0189  0.0191  0.0190  0.01
Boshniakovich 1969   26  0.1755  0.0016  0.1024  0.2985  0.0332  0.09
Brailowsky 1960   67  0.0038  0.0077  0.0379  0.0389  0.0275  0.02
Bunin 1987   52  0.0532  0.0060  0.0555  0.0582  0.0358  0.04
Bunin 1987b   54  0.0526  0.0059  0.0550  0.0585  0.0352  0.04
Chiu 1999   38  0.1185  0.0068  0.0472  0.0488  0.0263  0.03
Cohen 1997   24  0.1815  0.0038  0.0540  0.1275  0.0343  0.06
Cortot 1951   7  0.285  0.023  0.196  0.5933  0.353  0.45
Csalog 1996   4  0.3336  0.007  0.133  0.6957  0.069  0.20
Czerny 1949   23  0.1823  0.0040  0.0542  0.1163  0.0539  0.07
Czerny 1990   80  -0.0563  0.0073  0.0377  0.0387  0.0285  0.02
Duchoud 2007   44  0.0921  0.0042  0.0539  0.1282  0.0342  0.06
Ezaki 2006   47  0.0749  0.0067  0.0465  0.0488  0.0262  0.03
Falvay 1989   56  0.0437  0.0049  0.0463  0.0489  0.0265  0.03
Farrell 1958   50  0.066  0.0231  0.0634  0.1959  0.0527  0.10
Ferenczy 1958   62  0.0270  0.0076  0.0374  0.0380  0.0369  0.03
Fliere 1977   14  0.2256  0.0010  0.1817  0.4366  0.0516  0.15
Fou 1978   72  0.0086  0.0081  0.0384  0.0389  0.0176  0.02
Francois 1956   27  0.1525  0.0054  0.0551  0.0572  0.0361  0.04
Friedman 1923   18  0.2041  0.0014  0.1110  0.5565  0.0610  0.18
Friedman 1923b   21  0.1846  0.0015  0.1211  0.5163  0.0614  0.17
Friedman 1930   33  0.1424  0.0036  0.0636  0.1481  0.0341  0.06
Garcia 2007   68  0.0064  0.0057  0.0554  0.0586  0.0357  0.04
Garcia 2007b   69  0.0065  0.0083  0.0381  0.0389  0.0286  0.02
Gierzod 1998   66  0.0044  0.0061  0.0553  0.0577  0.0356  0.04
Gornostaeva 1994   3  0.374  0.035  0.155  0.6241  0.215  0.36
Groot 1988   39  0.1158  0.0063  0.0466  0.0486  0.0271  0.03
Harasiewicz 1955   37  0.1257  0.0055  0.0647  0.0685  0.0360  0.04
Hatto 1993   88  -0.0787  0.0087  0.0287  0.0290  0.0191  0.01
Hatto 1997   81  -0.0588  0.0088  0.0188  0.0191  0.0188  0.01
Horowitz 1949   65  0.0189  0.0058  0.0548  0.0585  0.0267  0.03
Indjic 1988   91  -0.1271  0.0091  0.0191  0.0191  0.0187  0.01
Kapell 1951   84  -0.0672  0.0085  0.0286  0.0287  0.0277  0.02
Kissin 1993   48  0.0711  0.0119  0.1114  0.4565  0.0615  0.16
Kushner 1989   40  0.1167  0.0052  0.0561  0.0584  0.0350  0.04
Luisada 1991   64  0.0190  0.0075  0.0376  0.0389  0.0274  0.02
Lushtak 2004   12  0.233  0.064  0.174  0.6435  0.186  0.34
Malcuzynski 1961   46  0.0891  0.0035  0.0733  0.2280  0.0336  0.08
Magaloff 1978   2  0.422  0.342  0.572  0.8120  0.482  0.62
Magin 1975   32  0.1414  0.0121  0.0821  0.3363  0.0519  0.13
Michalowski 1933   25  0.1727  0.0026  0.0727  0.2567  0.0623  0.12
Milkina 1970   82  -0.0551  0.0050  0.0557  0.0579  0.0351  0.04
Mohovich 1999   42  0.0952  0.0029  0.0738  0.1289  0.0247  0.05
Moravec 1969   79  -0.0468  0.0072  0.0469  0.0490  0.0173  0.02
Morozova 2008   73  0.0060  0.0078  0.0378  0.0390  0.0181  0.02
Neighaus 1950   16  0.2148  0.0013  0.1113  0.4588  0.0233  0.09
Niedzielski 1931   55  0.0420  0.0039  0.0541  0.1276  0.0438  0.07
Ohlsson 1999   19  0.1928  0.0025  0.0729  0.2576  0.0429  0.10
Osinska 1989   1  0.471  0.371  0.361  0.8712  0.671  0.76
Pachmann 1927   6  0.2834  0.009  0.1212  0.5064  0.0611  0.17
Paderewski 1930   34  0.1359  0.0027  0.0822  0.3282  0.0328  0.10
Perlemuter 1992   13  0.2235  0.0011  0.109  0.5572  0.0417  0.15
Pierdomenico 2008   28  0.1547  0.0028  0.0632  0.2482  0.0335  0.08
Poblocka 1999   36  0.1261  0.0062  0.0558  0.0582  0.0349  0.04
Rabcewiczowa 1932   8  0.2730  0.0024  0.0625  0.2649  0.0818  0.14
Rachmaninoff 1923   57  0.0473  0.0047  0.0464  0.0479  0.0364  0.03
Rangell 2001   83  -0.0674  0.0070  0.0556  0.0588  0.0270  0.03
Richter 1976   15  0.2175  0.0017  0.1019  0.3971  0.0422  0.12
Rosen 1989   10  0.259  0.018  0.1315  0.4580  0.0324  0.12
Rosenthal 1930   85  -0.0679  0.0082  0.0383  0.0391  0.0182  0.02
Rosenthal 1931   74  0.0076  0.0043  0.0544  0.0948  0.0930  0.09
Rosenthal 1931b   71  0.0066  0.0048  0.0470  0.0450  0.0648  0.05
Rosenthal 1931c   41  0.1062  0.0033  0.0526  0.2649  0.0625  0.12
Rosenthal 1931d   70  0.0050  0.0064  0.0552  0.0571  0.0359  0.04
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   63  0.0239  0.0046  0.0471  0.0479  0.0366  0.03
Rubinstein 1952   22  0.1810  0.0118  0.1016  0.4444  0.108  0.21
Rubinstein 1966   51  0.0522  0.0051  0.0549  0.0585  0.0353  0.04
Schilhawsky 1960   43  0.0969  0.0069  0.0646  0.0682  0.0354  0.04
Shebanova 2002   31  0.1440  0.0053  0.0559  0.0579  0.0455  0.04
Smith 1975   5  0.2916  0.0012  0.107  0.5845  0.107  0.24
Sokolov 2002   17  0.2017  0.0032  0.0631  0.2464  0.0334  0.08
Sztompka 1959   29  0.147  0.0222  0.1020  0.3877  0.0326  0.11
Tomsic 1995   59  0.0480  0.0066  0.0467  0.0490  0.0178  0.02
Uninsky 1932   49  0.0719  0.0020  0.1418  0.4277  0.0420  0.13
Uninsky 1971   30  0.1445  0.0037  0.0637  0.1488  0.0246  0.05
Wasowski 1980   35  0.1312  0.0123  0.0823  0.3171  0.0521  0.12
Zak 1937   58  0.0442  0.0045  0.0545  0.0985  0.0344  0.05
Zak 1951   53  0.058  0.0144  0.0443  0.0979  0.0345  0.05
Average   20  0.1981  0.0034  0.0630  0.2583  0.0331  0.09
Random 1   45  0.0918  0.0030  0.0828  0.251  0.584  0.38
Random 2   86  -0.0753  0.0071  0.0473  0.0443  0.1340  0.07
Random 3   60  0.0313  0.0156  0.0560  0.057  0.5613  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).