Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3466  0.0032  0.0826  0.4946  0.0632  0.17
Anderszewski 2003   41  0.3110  0.038  0.1128  0.4849  0.0728  0.18
Ashkenazy 1981   66  0.2560  0.0074  0.0375  0.0383  0.0385  0.03
Bacha 2000   43  0.3045  0.0036  0.0834  0.3436  0.2023  0.26
Badura 1965   79  0.2248  0.0057  0.0465  0.0474  0.0384  0.03
Barbosa 1983   49  0.2977  0.0049  0.0748  0.0767  0.0551  0.06
Biret 1990   15  0.3739  0.0019  0.0817  0.5729  0.3810  0.47
Blet 2003   76  0.2352  0.0079  0.0366  0.0378  0.0380  0.03
Block 1995   64  0.2580  0.0065  0.0556  0.0587  0.0365  0.04
Blumental 1952   51  0.2844  0.0044  0.0744  0.1377  0.0448  0.07
Boshniakovich 1969   38  0.3184  0.0033  0.0835  0.3054  0.0638  0.13
Brailowsky 1960   46  0.2937  0.0043  0.0842  0.2057  0.0639  0.11
Bunin 1987   74  0.2383  0.0075  0.0372  0.0365  0.0486  0.03
Bunin 1987b   77  0.2250  0.0076  0.0369  0.0387  0.0373  0.03
Chiu 1999   35  0.3131  0.0050  0.0649  0.0676  0.0455  0.05
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   16  0.3627  0.0020  0.0811  0.6110  0.625  0.61
Csalog 1996   57  0.2661  0.0066  0.0464  0.0471  0.0463  0.04
Czerny 1949   10  0.3820  0.0113  0.0912  0.5924  0.537  0.56
Czerny 1990   67  0.2557  0.0070  0.0381  0.0383  0.0387  0.03
Duchoud 2007   62  0.2536  0.0056  0.0370  0.0371  0.0483  0.03
Ezaki 2006   2  0.441  0.211  0.214  0.7119  0.544  0.62
Falvay 1989   12  0.3819  0.0121  0.0819  0.5543  0.1024  0.23
Farrell 1958   34  0.3151  0.0046  0.0846  0.0848  0.0747  0.07
Ferenczy 1958   56  0.2758  0.0038  0.0936  0.2830  0.5114  0.38
Fliere 1977   50  0.2940  0.0055  0.0463  0.0486  0.0367  0.03
Fou 1978   37  0.3174  0.0048  0.0652  0.0671  0.0456  0.05
Francois 1956   3  0.432  0.122  0.222  0.736  0.761  0.74
Friedman 1923   83  0.1879  0.0085  0.0379  0.0376  0.0488  0.03
Friedman 1923b   84  0.1886  0.0084  0.0287  0.0286  0.0290  0.02
Friedman 1930   72  0.2489  0.0069  0.0367  0.0378  0.0382  0.03
Garcia 2007   60  0.2641  0.0052  0.0651  0.0643  0.1046  0.08
Garcia 2007b   32  0.3211  0.0229  0.0831  0.4233  0.2022  0.29
Gierzod 1998   44  0.3078  0.0037  0.0932  0.4049  0.0733  0.17
Gornostaeva 1994   5  0.416  0.045  0.117  0.6324  0.469  0.54
Groot 1988   22  0.3554  0.0024  0.0921  0.5444  0.1025  0.23
Harasiewicz 1955   11  0.3812  0.0225  0.1027  0.4968  0.0536  0.16
Hatto 1993   53  0.2881  0.0047  0.0945  0.0974  0.0454  0.06
Hatto 1997   26  0.3417  0.0114  0.1015  0.5855  0.0531  0.17
Horowitz 1949   82  0.1967  0.0071  0.0380  0.0365  0.0474  0.03
Indjic 1988   59  0.2687  0.0051  0.0747  0.0759  0.0650  0.06
Kapell 1951   71  0.2428  0.0077  0.0382  0.0383  0.0371  0.03
Kissin 1993   86  0.1788  0.0086  0.0373  0.0379  0.0479  0.03
Kushner 1989   18  0.3618  0.0135  0.0739  0.2481  0.0343  0.08
Luisada 1991   52  0.2872  0.0062  0.0368  0.0382  0.0366  0.03
Lushtak 2004   20  0.3559  0.0016  0.1013  0.5856  0.0534  0.17
Malcuzynski 1961   45  0.3063  0.0040  0.0843  0.2077  0.0344  0.08
Magaloff 1978   23  0.3429  0.0031  0.0833  0.3972  0.0341  0.11
Magin 1975   68  0.2442  0.0072  0.0384  0.0382  0.0370  0.03
Michalowski 1933   87  0.1585  0.0087  0.0385  0.0386  0.0378  0.03
Milkina 1970   27  0.345  0.057  0.146  0.6437  0.2913  0.43
Mohovich 1999   19  0.3530  0.0027  0.1220  0.5547  0.0630  0.18
Moravec 1969   31  0.3255  0.0045  0.0650  0.0655  0.0649  0.06
Morozova 2008   55  0.2771  0.0067  0.0460  0.0486  0.0381  0.03
Neighaus 1950   25  0.3415  0.0126  0.1230  0.4738  0.2020  0.31
Niedzielski 1931   75  0.2373  0.0064  0.0459  0.0448  0.0560  0.04
Ohlsson 1999   17  0.3624  0.0015  0.1024  0.5167  0.0437  0.14
Osinska 1989   6  0.4025  0.0011  0.1014  0.5838  0.2116  0.35
Pachmann 1927   69  0.2456  0.0082  0.0378  0.0380  0.0377  0.03
Paderewski 1930   85  0.1762  0.0080  0.0383  0.0362  0.0476  0.03
Perlemuter 1992   36  0.3135  0.0053  0.0553  0.0575  0.0458  0.04
Pierdomenico 2008   30  0.3332  0.0039  0.0941  0.2232  0.2026  0.21
Poblocka 1999   65  0.2549  0.0073  0.0376  0.0379  0.0368  0.03
Rabcewiczowa 1932   4  0.414  0.104  0.293  0.7214  0.563  0.63
Rachmaninoff 1923   73  0.2476  0.0063  0.0461  0.0461  0.0459  0.04
Rangell 2001   21  0.3521  0.0123  0.0922  0.5331  0.3911  0.45
Richter 1976   58  0.2670  0.0078  0.0374  0.0384  0.0375  0.03
Rosen 1989   13  0.3814  0.0117  0.1110  0.6247  0.0529  0.18
Rosenthal 1930   47  0.2933  0.0041  0.0837  0.2432  0.3821  0.30
Rosenthal 1931   42  0.3046  0.0022  0.0823  0.5319  0.578  0.55
Rosenthal 1931b   40  0.3122  0.0118  0.0916  0.5815  0.596  0.58
Rosenthal 1931c   33  0.328  0.0328  0.1229  0.4723  0.4312  0.45
Rosenthal 1931d   61  0.2634  0.0042  0.1040  0.2218  0.4319  0.31
Rossi 2007   54  0.2847  0.0060  0.0458  0.0430  0.3040  0.11
Rubinstein 1939   29  0.3453  0.0030  0.0825  0.4951  0.0535  0.16
Rubinstein 1952   9  0.3916  0.0110  0.109  0.6242  0.2115  0.36
Rubinstein 1966   7  0.407  0.046  0.138  0.6335  0.1817  0.34
Schilhawsky 1960   81  0.2175  0.0083  0.0286  0.0284  0.0389  0.02
Shebanova 2002   48  0.2926  0.0061  0.0554  0.0577  0.0557  0.05
Smith 1975   1  0.453  0.123  0.241  0.797  0.632  0.71
Sokolov 2002   80  0.2143  0.0081  0.0371  0.0371  0.0369  0.03
Sztompka 1959   39  0.3164  0.0054  0.0555  0.0574  0.0462  0.04
Tomsic 1995   14  0.3713  0.0212  0.0818  0.5638  0.1918  0.33
Uninsky 1932   63  0.2568  0.0059  0.0462  0.0466  0.0464  0.04
Uninsky 1971   8  0.4023  0.009  0.115  0.6861  0.0527  0.18
Wasowski 1980   24  0.349  0.0334  0.0838  0.2478  0.0442  0.10
Zak 1937   78  0.2282  0.0068  0.0377  0.0380  0.0472  0.03
Zak 1951   70  0.2490  0.0058  0.0457  0.0465  0.0461  0.04
Random 1   89  -0.0169  0.0089  0.0189  0.0127  0.3152  0.06
Random 2   88  0.0738  0.0088  0.0288  0.0223  0.3045  0.08
Random 3   90  -0.0165  0.0090  0.0190  0.0120  0.3153  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).