Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.762  0.112  0.282  0.659  0.475  0.55
Anderszewski 2003   58  0.5217  0.0157  0.0547  0.0562  0.0366  0.04
Ashkenazy 1981   66  0.4953  0.0046  0.0546  0.0556  0.0471  0.04
Bacha 2000   52  0.5359  0.0058  0.0558  0.0563  0.0555  0.05
Badura 1965   60  0.5149  0.0066  0.0367  0.0353  0.0570  0.04
Barbosa 1983   46  0.5656  0.0042  0.0542  0.1116  0.3332  0.19
Biret 1990   23  0.6512  0.0114  0.0915  0.4428  0.2521  0.33
Blet 2003   25  0.6465  0.0037  0.0731  0.2733  0.2030  0.23
Block 1995   68  0.4841  0.0081  0.0286  0.0280  0.0389  0.02
Blumental 1952   77  0.4336  0.0040  0.0643  0.1142  0.0944  0.10
Boshniakovich 1969   53  0.5387  0.0069  0.0376  0.0371  0.0485  0.03
Brailowsky 1960   44  0.5676  0.0071  0.0370  0.0361  0.0564  0.04
Bunin 1987   62  0.5060  0.0072  0.0382  0.0351  0.0572  0.04
Bunin 1987b   64  0.4968  0.0073  0.0555  0.0558  0.0557  0.05
Chiu 1999   71  0.4770  0.0064  0.0369  0.0354  0.0478  0.03
Cohen 1997   84  0.3133  0.0085  0.0377  0.0345  0.0761  0.05
Cortot 1951   54  0.5357  0.0067  0.0374  0.0348  0.0675  0.04
Csalog 1996   63  0.5034  0.0048  0.0559  0.0527  0.2642  0.11
Czerny 1949   3  0.7326  0.0011  0.124  0.5817  0.446  0.51
Czerny 1990   1  0.781  0.441  0.441  0.684  0.581  0.63
Duchoud 2007   59  0.5143  0.0060  0.0462  0.0465  0.0467  0.04
Ezaki 2006   16  0.6621  0.0017  0.0918  0.4032  0.2324  0.30
Falvay 1989   11  0.705  0.049  0.115  0.572  0.672  0.62
Farrell 1958   34  0.6142  0.0038  0.0736  0.2118  0.2827  0.24
Ferenczy 1958   38  0.599  0.0126  0.0638  0.1537  0.1238  0.13
Fliere 1977   13  0.6883  0.0021  0.0725  0.3253  0.0441  0.11
Fou 1978   36  0.604  0.0710  0.1316  0.4324  0.3315  0.38
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   86  0.3073  0.0075  0.0285  0.0252  0.0688  0.03
Friedman 1923b   85  0.3069  0.0074  0.0380  0.0371  0.0573  0.04
Friedman 1930   70  0.4771  0.0063  0.0371  0.0339  0.1552  0.07
Garcia 2007   78  0.3989  0.0076  0.0379  0.0352  0.0568  0.04
Garcia 2007b   87  0.3090  0.0078  0.0381  0.0348  0.0577  0.04
Gierzod 1998   12  0.6874  0.0015  0.0814  0.4432  0.2520  0.33
Gornostaeva 1994   7  0.7118  0.0113  0.1811  0.4912  0.489  0.48
Groot 1988   4  0.733  0.097  0.153  0.592  0.573  0.58
Harasiewicz 1955   51  0.5461  0.0045  0.0548  0.0547  0.0562  0.05
Hatto 1993   83  0.3278  0.0080  0.0284  0.0274  0.0487  0.03
Hatto 1997   79  0.3982  0.0077  0.0372  0.0368  0.0483  0.03
Horowitz 1949   67  0.4984  0.0068  0.0464  0.0466  0.0380  0.03
Indjic 1988   82  0.3586  0.0079  0.0383  0.0379  0.0382  0.03
Kapell 1951   20  0.6628  0.0024  0.0627  0.3144  0.0834  0.16
Kissin 1993   31  0.6345  0.0031  0.0528  0.3133  0.1729  0.23
Kushner 1989   6  0.727  0.025  0.199  0.5213  0.467  0.49
Luisada 1991   57  0.5263  0.0030  0.0637  0.1852  0.0545  0.09
Lushtak 2004   37  0.5952  0.0019  0.0921  0.3734  0.1925  0.27
Malcuzynski 1961   35  0.6132  0.0054  0.0550  0.0573  0.0465  0.04
Magaloff 1978   17  0.6630  0.0022  0.0622  0.3722  0.3218  0.34
Magin 1975   76  0.4614  0.0139  0.0639  0.1454  0.0548  0.08
Michalowski 1933   73  0.4675  0.0059  0.0463  0.0453  0.0758  0.05
Milkina 1970   24  0.6538  0.0043  0.0640  0.1366  0.0549  0.08
Mohovich 1999   10  0.718  0.023  0.148  0.5421  0.428  0.48
Moravec 1969   22  0.6527  0.0028  0.0832  0.2314  0.4123  0.31
Morozova 2008   61  0.5177  0.0032  0.0634  0.2239  0.1236  0.16
Neighaus 1950   8  0.7113  0.016  0.157  0.5520  0.3312  0.43
Niedzielski 1931   30  0.6320  0.0127  0.0733  0.2224  0.2926  0.25
Ohlsson 1999   33  0.6155  0.0041  0.0541  0.1345  0.0550  0.08
Osinska 1989   5  0.7229  0.0012  0.1710  0.5120  0.3910  0.45
Pachmann 1927   48  0.5540  0.0065  0.0366  0.0323  0.2746  0.09
Paderewski 1930   19  0.6688  0.0035  0.0729  0.3012  0.3719  0.33
Perlemuter 1992   15  0.6724  0.0016  0.0817  0.4222  0.3017  0.35
Pierdomenico 2008   39  0.5939  0.0029  0.0623  0.353  0.5113  0.42
Poblocka 1999   41  0.5864  0.0049  0.0554  0.0559  0.0556  0.05
Rabcewiczowa 1932   9  0.716  0.024  0.146  0.554  0.574  0.56
Rachmaninoff 1923   27  0.6319  0.0134  0.0726  0.3134  0.1631  0.22
Rangell 2001   72  0.4762  0.0070  0.0368  0.0363  0.0386  0.03
Richter 1976   80  0.3985  0.0087  0.0465  0.0470  0.0381  0.03
Rosen 1989   21  0.6637  0.008  0.1212  0.4717  0.4311  0.45
Rosenthal 1930   45  0.5672  0.0062  0.0373  0.0345  0.0669  0.04
Rosenthal 1931   69  0.4831  0.0083  0.0375  0.0337  0.1454  0.06
Rosenthal 1931b   75  0.4679  0.0082  0.0287  0.0240  0.0976  0.04
Rosenthal 1931c   49  0.5558  0.0061  0.0460  0.0423  0.3343  0.11
Rosenthal 1931d   65  0.4966  0.0084  0.0461  0.0465  0.0474  0.04
Rossi 2007   74  0.4610  0.0156  0.0552  0.0513  0.3937  0.14
Rubinstein 1939   81  0.3651  0.0086  0.0378  0.0364  0.0479  0.03
Rubinstein 1952   50  0.5435  0.0052  0.0557  0.0531  0.2940  0.12
Rubinstein 1966   43  0.5723  0.0047  0.0551  0.0541  0.1647  0.09
Schilhawsky 1960   40  0.5954  0.0055  0.0545  0.0557  0.0559  0.05
Shebanova 2002   26  0.6350  0.0036  0.0635  0.2239  0.1633  0.19
Smith 1975   18  0.6647  0.0018  0.1219  0.4027  0.2622  0.32
Sokolov 2002   42  0.5825  0.0044  0.0644  0.1141  0.1439  0.12
Sztompka 1959   14  0.6746  0.0020  0.1013  0.4526  0.3116  0.37
Tomsic 1995   32  0.6216  0.0133  0.0730  0.3013  0.5014  0.39
Uninsky 1932   56  0.5348  0.0050  0.0549  0.0550  0.0660  0.05
Uninsky 1971   55  0.5367  0.0053  0.0556  0.0545  0.0951  0.07
Wasowski 1980   47  0.5515  0.0151  0.0553  0.0566  0.0463  0.04
Zak 1937   29  0.6311  0.0125  0.0724  0.3547  0.0735  0.16
Zak 1951   28  0.6322  0.0023  0.0720  0.3938  0.1428  0.23
Random 1   90  -0.2180  0.0090  0.0190  0.0180  0.0290  0.01
Random 2   89  -0.1181  0.0089  0.0288  0.0253  0.0484  0.03
Random 3   88  -0.0644  0.0088  0.0289  0.0223  0.2553  0.07

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).