Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.1655  0.0081  0.0286  0.0289  0.0286  0.02
Anderszewski 2003   75  0.1279  0.0067  0.0558  0.0577  0.0359  0.04
Ashkenazy 1981   68  0.1545  0.0076  0.0472  0.0488  0.0373  0.03
Bacha 2000   70  0.1572  0.0082  0.0278  0.0282  0.0379  0.02
Badura 1965   82  0.0831  0.0066  0.0469  0.0470  0.0370  0.03
Barbosa 1983   81  0.0980  0.0071  0.0374  0.0383  0.0284  0.02
Biret 1990   16  0.2836  0.0041  0.0636  0.2481  0.0342  0.08
Blet 2003   63  0.1738  0.0064  0.0554  0.0587  0.0267  0.03
Block 1995   42  0.2227  0.0032  0.0734  0.2680  0.0338  0.09
Blumental 1952   85  0.0685  0.0086  0.0280  0.0288  0.0287  0.02
Boshniakovich 1969   14  0.2859  0.0023  0.0726  0.3484  0.0425  0.12
Brailowsky 1960   88  0.0456  0.0091  0.0191  0.0190  0.0189  0.01
Bunin 1987   54  0.1982  0.0054  0.0466  0.0486  0.0374  0.03
Bunin 1987b   53  0.1981  0.0053  0.0471  0.0465  0.0457  0.04
Chiu 1999   28  0.2526  0.0047  0.0747  0.0782  0.0348  0.05
Cohen 1997   17  0.2822  0.0024  0.0731  0.3059  0.0430  0.11
Cortot 1951   36  0.2344  0.0038  0.0637  0.2466  0.0531  0.11
Csalog 1996   4  0.368  0.023  0.173  0.6934  0.162  0.33
Czerny 1949   12  0.3021  0.0127  0.0623  0.3763  0.0517  0.14
Czerny 1990   73  0.1477  0.0074  0.0376  0.0387  0.0375  0.03
Duchoud 2007   45  0.2253  0.0042  0.0738  0.2271  0.0437  0.09
Ezaki 2006   41  0.2254  0.0060  0.0561  0.0580  0.0453  0.04
Falvay 1989   46  0.2123  0.0021  0.0735  0.2582  0.0336  0.09
Farrell 1958   47  0.212  0.086  0.1212  0.4839  0.155  0.27
Ferenczy 1958   71  0.1466  0.0078  0.0377  0.0379  0.0369  0.03
Fliere 1977   10  0.3214  0.018  0.117  0.6080  0.0414  0.15
Fou 1978   51  0.2070  0.0063  0.0555  0.0571  0.0455  0.04
Francois 1956   33  0.2419  0.0148  0.0746  0.0772  0.0352  0.05
Friedman 1923   56  0.1869  0.0057  0.0560  0.0587  0.0364  0.04
Friedman 1923b   58  0.1849  0.0058  0.0562  0.0584  0.0362  0.04
Friedman 1930   59  0.1878  0.0062  0.0556  0.0585  0.0361  0.04
Garcia 2007   23  0.2515  0.019  0.158  0.5965  0.0511  0.17
Garcia 2007b   25  0.2525  0.0035  0.0725  0.3548  0.0619  0.14
Gierzod 1998   30  0.2430  0.0025  0.0727  0.3473  0.0424  0.12
Gornostaeva 1994   2  0.394  0.045  0.134  0.6549  0.078  0.21
Groot 1988   65  0.1686  0.0069  0.0463  0.0480  0.0377  0.03
Harasiewicz 1955   29  0.2475  0.0036  0.0732  0.2983  0.0339  0.09
Hatto 1993   83  0.0891  0.0085  0.0281  0.0289  0.0288  0.02
Hatto 1997   77  0.1090  0.0083  0.0282  0.0288  0.0385  0.02
Horowitz 1949   86  0.0557  0.0087  0.0188  0.0189  0.0290  0.01
Indjic 1988   84  0.0687  0.0084  0.0284  0.0289  0.0283  0.02
Kapell 1951   57  0.1852  0.0055  0.0465  0.0482  0.0366  0.03
Kissin 1993   37  0.2350  0.0017  0.0811  0.5070  0.0513  0.16
Kushner 1989   27  0.2560  0.0033  0.0728  0.3388  0.0333  0.10
Luisada 1991   72  0.1468  0.0077  0.0279  0.0286  0.0381  0.02
Lushtak 2004   22  0.2520  0.0119  0.0913  0.4869  0.0418  0.14
Malcuzynski 1961   26  0.2533  0.0015  0.1110  0.5764  0.059  0.17
Magaloff 1978   3  0.363  0.062  0.216  0.6162  0.0412  0.16
Magin 1975   19  0.2618  0.0126  0.0720  0.3966  0.0421  0.12
Michalowski 1933   48  0.2163  0.0052  0.0467  0.0455  0.0649  0.05
Milkina 1970   61  0.1762  0.0046  0.0749  0.0788  0.0256  0.04
Mohovich 1999   52  0.2067  0.0059  0.0464  0.0485  0.0372  0.03
Moravec 1969   74  0.1388  0.0075  0.0373  0.0389  0.0280  0.02
Morozova 2008   62  0.1741  0.0068  0.0559  0.0583  0.0360  0.04
Neighaus 1950   39  0.2224  0.0039  0.0641  0.2084  0.0343  0.08
Niedzielski 1931   67  0.169  0.0222  0.0743  0.1766  0.0440  0.08
Ohlsson 1999   18  0.2643  0.0030  0.0724  0.3687  0.0334  0.10
Osinska 1989   1  0.451  0.541  0.531  0.8536  0.251  0.46
Pachmann 1927   11  0.3113  0.0113  0.1419  0.4139  0.177  0.26
Paderewski 1930   21  0.2610  0.0214  0.1217  0.4444  0.176  0.27
Perlemuter 1992   8  0.327  0.027  0.105  0.6441  0.143  0.30
Pierdomenico 2008   7  0.3211  0.0211  0.1514  0.4738  0.174  0.28
Poblocka 1999   69  0.1573  0.0079  0.0283  0.0282  0.0382  0.02
Rabcewiczowa 1932   9  0.3217  0.0116  0.0915  0.4765  0.0515  0.15
Rachmaninoff 1923   79  0.1037  0.0056  0.0652  0.0688  0.0265  0.03
Rangell 2001   55  0.1983  0.0043  0.0839  0.2080  0.0246  0.06
Richter 1976   15  0.2832  0.0020  0.0830  0.3179  0.0427  0.11
Rosen 1989   6  0.325  0.0312  0.1118  0.4270  0.0420  0.13
Rosenthal 1930   87  0.0484  0.0090  0.0190  0.0190  0.0191  0.01
Rosenthal 1931   80  0.1074  0.0070  0.0470  0.0472  0.0458  0.04
Rosenthal 1931b   76  0.1165  0.0073  0.0468  0.0482  0.0378  0.03
Rosenthal 1931c   64  0.1789  0.0065  0.0650  0.0678  0.0363  0.04
Rosenthal 1931d   78  0.1058  0.0072  0.0375  0.0380  0.0376  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   60  0.1828  0.0040  0.0644  0.1686  0.0244  0.06
Rubinstein 1952   13  0.3012  0.0110  0.149  0.5769  0.0416  0.15
Rubinstein 1966   32  0.2434  0.0031  0.0921  0.3974  0.0329  0.11
Schilhawsky 1960   38  0.2351  0.0061  0.0651  0.0687  0.0268  0.03
Shebanova 2002   35  0.2346  0.0050  0.0653  0.0681  0.0451  0.05
Smith 1975   31  0.2440  0.0051  0.0557  0.0578  0.0354  0.04
Sokolov 2002   44  0.2247  0.0049  0.0748  0.0775  0.0347  0.05
Sztompka 1959   24  0.2564  0.0037  0.0833  0.2874  0.0428  0.11
Tomsic 1995   34  0.2435  0.0044  0.0842  0.1873  0.0441  0.08
Uninsky 1932   50  0.2129  0.0018  0.0916  0.4684  0.0323  0.12
Uninsky 1971   20  0.2648  0.0034  0.0845  0.1487  0.0250  0.05
Wasowski 1980   49  0.2171  0.0045  0.1040  0.2059  0.0532  0.10
Zak 1937   43  0.2239  0.0029  0.0729  0.3369  0.0426  0.11
Zak 1951   40  0.226  0.0228  0.0622  0.3779  0.0422  0.12
Average   5  0.3576  0.004  0.142  0.7173  0.0410  0.17
Random 1   90  -0.0442  0.0088  0.0189  0.0140  0.1171  0.03
Random 2   91  -0.0561  0.0089  0.0287  0.0236  0.2045  0.06
Random 3   89  0.0016  0.0180  0.0285  0.027  0.4935  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).