Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.6757  0.004  0.139  0.534  0.548  0.53
Anderszewski 2003   70  0.3643  0.0056  0.0366  0.0336  0.1957  0.08
Ashkenazy 1981   66  0.3967  0.0057  0.0462  0.0454  0.0574  0.04
Bacha 2000   72  0.3476  0.0082  0.0375  0.0361  0.0476  0.03
Badura 1965   64  0.4047  0.0067  0.0365  0.0371  0.0483  0.03
Barbosa 1983   27  0.5428  0.0028  0.0727  0.2720  0.4321  0.34
Biret 1990   21  0.567  0.0226  0.0918  0.385  0.5712  0.47
Blet 2003   46  0.4954  0.0045  0.0551  0.0547  0.0661  0.05
Block 1995   58  0.4264  0.0079  0.0374  0.0352  0.0484  0.03
Blumental 1952   81  0.2161  0.0069  0.0553  0.0561  0.0473  0.04
Boshniakovich 1969   67  0.3822  0.0072  0.0364  0.0357  0.0485  0.03
Brailowsky 1960   56  0.4369  0.0080  0.0376  0.0355  0.0478  0.03
Bunin 1987   22  0.5613  0.0133  0.0531  0.2431  0.2333  0.23
Bunin 1987b   23  0.5650  0.0035  0.0732  0.2331  0.2332  0.23
Chiu 1999   71  0.3581  0.0062  0.0461  0.0462  0.0465  0.04
Cohen 1997   79  0.2810  0.0155  0.0367  0.0329  0.2653  0.09
Cortot 1951   47  0.495  0.0241  0.0736  0.1615  0.3731  0.24
Csalog 1996   55  0.4360  0.0052  0.0645  0.0641  0.1648  0.10
Czerny 1949   1  0.751  0.461  0.451  0.761  0.831  0.79
Czerny 1990   14  0.6270  0.0024  0.1021  0.3524  0.2528  0.30
Duchoud 2007   41  0.5165  0.0054  0.0456  0.0458  0.0572  0.04
Ezaki 2006   5  0.6617  0.016  0.154  0.598  0.555  0.57
Falvay 1989   10  0.6412  0.017  0.173  0.635  0.553  0.59
Farrell 1958   50  0.4714  0.0151  0.0548  0.0521  0.3345  0.13
Ferenczy 1958   39  0.5123  0.0044  0.0444  0.0918  0.3936  0.19
Fliere 1977   28  0.5473  0.0047  0.0552  0.0563  0.0464  0.04
Fou 1978   49  0.4826  0.0016  0.0925  0.3131  0.2829  0.29
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   86  0.0984  0.0074  0.0373  0.0356  0.0675  0.04
Friedman 1923b   84  0.1085  0.0073  0.0371  0.0346  0.0762  0.05
Friedman 1930   74  0.3262  0.0058  0.0363  0.0331  0.2852  0.09
Garcia 2007   85  0.0986  0.0086  0.0286  0.0281  0.0288  0.02
Garcia 2007b   87  0.0487  0.0087  0.0287  0.0272  0.0390  0.02
Gierzod 1998   40  0.5177  0.0031  0.0734  0.1722  0.2435  0.20
Gornostaeva 1994   2  0.712  0.192  0.316  0.567  0.604  0.58
Groot 1988   3  0.7019  0.018  0.105  0.5610  0.489  0.52
Harasiewicz 1955   42  0.5131  0.0017  0.0914  0.4425  0.2622  0.34
Hatto 1993   83  0.1771  0.0084  0.0457  0.0484  0.0387  0.03
Hatto 1997   76  0.2942  0.0053  0.0454  0.0458  0.0470  0.04
Horowitz 1949   44  0.5018  0.0121  0.0826  0.2821  0.3327  0.30
Indjic 1988   82  0.1978  0.0083  0.0455  0.0472  0.0382  0.03
Kapell 1951   8  0.6415  0.0120  0.1015  0.4224  0.4215  0.42
Kissin 1993   38  0.5230  0.0038  0.0740  0.1539  0.1939  0.17
Kushner 1989   36  0.5255  0.0050  0.0547  0.0536  0.1750  0.09
Luisada 1991   63  0.4044  0.0059  0.0460  0.0454  0.0563  0.04
Lushtak 2004   52  0.4663  0.0036  0.0830  0.2535  0.1834  0.21
Malcuzynski 1961   7  0.6588  0.009  0.0910  0.5017  0.4013  0.45
Magaloff 1978   19  0.5829  0.0027  0.0823  0.3333  0.1830  0.24
Magin 1975   75  0.3245  0.0061  0.0369  0.0353  0.0567  0.04
Michalowski 1933   78  0.2868  0.0077  0.0382  0.0362  0.0481  0.03
Milkina 1970   18  0.5827  0.0029  0.0629  0.2719  0.3625  0.31
Mohovich 1999   13  0.6339  0.0013  0.0912  0.4913  0.4911  0.49
Moravec 1969   6  0.6521  0.0022  0.1020  0.379  0.4714  0.42
Morozova 2008   53  0.4551  0.0034  0.0535  0.1628  0.1941  0.17
Neighaus 1950   12  0.633  0.053  0.142  0.6611  0.562  0.61
Niedzielski 1931   51  0.4649  0.0066  0.0381  0.0346  0.0666  0.04
Ohlsson 1999   24  0.5525  0.0032  0.0737  0.1635  0.1938  0.17
Osinska 1989   11  0.6324  0.0019  0.138  0.556  0.596  0.57
Pachmann 1927   65  0.4074  0.0064  0.0380  0.0347  0.0669  0.04
Paderewski 1930   48  0.4832  0.0065  0.0378  0.0353  0.0568  0.04
Perlemuter 1992   35  0.5375  0.0039  0.0738  0.1632  0.2137  0.18
Pierdomenico 2008   60  0.4137  0.0060  0.0368  0.0330  0.2155  0.08
Poblocka 1999   32  0.5341  0.0040  0.0539  0.1543  0.1344  0.14
Rabcewiczowa 1932   17  0.608  0.0211  0.0811  0.506  0.667  0.57
Rachmaninoff 1923   26  0.5566  0.0025  0.0922  0.3323  0.3424  0.33
Rangell 2001   62  0.4058  0.0081  0.0377  0.0368  0.0386  0.03
Richter 1976   68  0.3852  0.0071  0.0379  0.0385  0.0380  0.03
Rosen 1989   30  0.5311  0.0112  0.0819  0.3818  0.4219  0.40
Rosenthal 1930   33  0.5359  0.0048  0.0549  0.0524  0.4343  0.15
Rosenthal 1931   69  0.3779  0.0075  0.0285  0.0220  0.3656  0.08
Rosenthal 1931b   73  0.3436  0.0076  0.0372  0.0324  0.3349  0.10
Rosenthal 1931c   31  0.5335  0.0030  0.0733  0.2111  0.5423  0.34
Rosenthal 1931d   59  0.4234  0.0063  0.0459  0.0414  0.3846  0.12
Rossi 2007   77  0.2856  0.0078  0.0283  0.0218  0.3254  0.08
Rubinstein 1939   80  0.2448  0.0085  0.0284  0.0258  0.0479  0.03
Rubinstein 1952   25  0.554  0.0237  0.0642  0.1330  0.2142  0.17
Rubinstein 1966   43  0.5040  0.0049  0.0550  0.0534  0.2547  0.11
Schilhawsky 1960   37  0.5238  0.0042  0.0641  0.1536  0.2040  0.17
Shebanova 2002   61  0.4133  0.0070  0.0370  0.0365  0.0571  0.04
Smith 1975   9  0.646  0.025  0.127  0.5511  0.4610  0.50
Sokolov 2002   16  0.6146  0.0018  0.1016  0.4220  0.3818  0.40
Sztompka 1959   45  0.5089  0.0046  0.0646  0.0643  0.1351  0.09
Tomsic 1995   15  0.629  0.0110  0.0813  0.4713  0.3816  0.42
Uninsky 1932   54  0.4372  0.0043  0.0543  0.1055  0.0558  0.07
Uninsky 1971   29  0.5420  0.0023  0.1028  0.2729  0.3526  0.31
Wasowski 1980   57  0.4290  0.0068  0.0458  0.0480  0.0377  0.03
Zak 1937   34  0.5382  0.0015  0.1124  0.3219  0.3920  0.35
Zak 1951   20  0.5616  0.0114  0.1017  0.3916  0.4317  0.41
Random 1   90  -0.0883  0.0090  0.0190  0.0174  0.0389  0.02
Random 2   89  0.0080  0.0088  0.0288  0.0233  0.1859  0.06
Random 3   88  0.0053  0.0089  0.0189  0.0124  0.3160  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).