Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3463  0.0055  0.0462  0.0453  0.0571  0.04
Anderszewski 2003   74  0.2481  0.0064  0.0561  0.0584  0.0369  0.04
Ashkenazy 1981   18  0.4044  0.0034  0.0631  0.2720  0.3710  0.32
Bacha 2000   51  0.3141  0.0040  0.0641  0.1626  0.3213  0.23
Badura 1965   73  0.2458  0.0072  0.0555  0.0569  0.0374  0.04
Barbosa 1983   60  0.3072  0.0066  0.0560  0.0577  0.0368  0.04
Biret 1990   20  0.3913  0.024  0.135  0.5652  0.0618  0.18
Blet 2003   36  0.3627  0.0054  0.0558  0.0561  0.0554  0.05
Block 1995   87  0.1471  0.0087  0.0374  0.0386  0.0382  0.03
Blumental 1952   67  0.2873  0.0056  0.0468  0.0481  0.0383  0.03
Boshniakovich 1969   15  0.4037  0.0028  0.0817  0.4084  0.0332  0.11
Brailowsky 1960   79  0.2282  0.0082  0.0376  0.0360  0.0661  0.04
Bunin 1987   61  0.2983  0.0049  0.0646  0.0672  0.0458  0.05
Bunin 1987b   70  0.2679  0.0058  0.0557  0.0569  0.0466  0.04
Chiu 1999   69  0.2628  0.0077  0.0384  0.0382  0.0288  0.02
Cohen 1997   42  0.3442  0.0047  0.0648  0.0633  0.1639  0.10
Cortot 1951   68  0.2775  0.0071  0.0556  0.0548  0.0751  0.06
Csalog 1996   84  0.1935  0.0075  0.0378  0.0383  0.0381  0.03
Czerny 1949   7  0.4312  0.0215  0.0821  0.3861  0.0625  0.15
Czerny 1990   26  0.3920  0.0130  0.0729  0.2871  0.0433  0.11
Duchoud 2007   58  0.3059  0.0059  0.0463  0.0446  0.0756  0.05
Ezaki 2006   64  0.2933  0.0063  0.0472  0.0487  0.0275  0.03
Falvay 1989   77  0.2484  0.0080  0.0377  0.0384  0.0377  0.03
Farrell 1958   19  0.3916  0.015  0.126  0.5534  0.326  0.42
Ferenczy 1958   88  0.1257  0.0088  0.0288  0.0284  0.0390  0.02
Fliere 1977   14  0.4126  0.0022  0.0816  0.4259  0.0527  0.14
Fou 1978   24  0.3949  0.0035  0.0543  0.1471  0.0447  0.07
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   39  0.3550  0.0011  0.0912  0.4615  0.514  0.48
Friedman 1923b   49  0.3229  0.0012  0.0920  0.3822  0.437  0.40
Friedman 1930   43  0.3334  0.0029  0.0634  0.2531  0.2811  0.26
Garcia 2007   65  0.2964  0.0060  0.0467  0.0462  0.0572  0.04
Garcia 2007b   21  0.3925  0.0016  0.0811  0.4835  0.289  0.37
Gierzod 1998   8  0.4323  0.0127  0.0730  0.2776  0.0341  0.09
Gornostaeva 1994   12  0.4117  0.0113  0.0714  0.4366  0.0428  0.13
Groot 1988   37  0.367  0.0224  0.0723  0.3747  0.0723  0.16
Harasiewicz 1955   23  0.3965  0.0033  0.0733  0.2559  0.0535  0.11
Hatto 1993   46  0.3332  0.0038  0.0632  0.2683  0.0342  0.09
Hatto 1997   48  0.3260  0.0041  0.0638  0.2082  0.0344  0.08
Horowitz 1949   81  0.2162  0.0081  0.0385  0.0375  0.0379  0.03
Indjic 1988   45  0.3385  0.0039  0.0636  0.2364  0.0437  0.10
Kapell 1951   44  0.3355  0.0061  0.0649  0.0681  0.0365  0.04
Kissin 1993   50  0.3266  0.0067  0.0559  0.0563  0.0552  0.05
Kushner 1989   13  0.4186  0.0019  0.0910  0.4950  0.0714  0.19
Luisada 1991   52  0.3146  0.0070  0.0469  0.0450  0.0559  0.04
Lushtak 2004   11  0.4218  0.0110  0.109  0.5255  0.0522  0.16
Malcuzynski 1961   25  0.3924  0.0026  0.0924  0.3549  0.0819  0.17
Magaloff 1978   34  0.3667  0.0036  0.0537  0.2161  0.0440  0.09
Magin 1975   4  0.444  0.088  0.1013  0.4643  0.1312  0.24
Michalowski 1933   62  0.299  0.0251  0.0552  0.0510  0.5221  0.16
Milkina 1970   2  0.493  0.102  0.242  0.6355  0.0615  0.19
Mohovich 1999   40  0.3574  0.0053  0.0650  0.0659  0.0457  0.05
Moravec 1969   83  0.2047  0.0085  0.0380  0.0386  0.0287  0.02
Morozova 2008   55  0.3143  0.0052  0.0651  0.0670  0.0455  0.05
Neighaus 1950   3  0.446  0.037  0.114  0.568  0.552  0.55
Niedzielski 1931   76  0.2448  0.0073  0.0473  0.0467  0.0464  0.04
Ohlsson 1999   27  0.3931  0.0032  0.0627  0.2969  0.0430  0.11
Osinska 1989   17  0.4038  0.0045  0.0745  0.1374  0.0446  0.07
Pachmann 1927   72  0.2454  0.0076  0.0375  0.0351  0.0667  0.04
Paderewski 1930   38  0.358  0.0217  0.0718  0.407  0.583  0.48
Perlemuter 1992   5  0.442  0.113  0.203  0.582  0.601  0.59
Pierdomenico 2008   28  0.3814  0.0118  0.0722  0.3717  0.515  0.43
Poblocka 1999   75  0.2480  0.0083  0.0381  0.0382  0.0376  0.03
Rabcewiczowa 1932   63  0.2922  0.0121  0.0828  0.2964  0.0429  0.11
Rachmaninoff 1923   56  0.3019  0.0143  0.0644  0.1376  0.0349  0.06
Rangell 2001   33  0.3639  0.0044  0.0742  0.1648  0.0734  0.11
Richter 1976   54  0.3176  0.0062  0.0466  0.0476  0.0380  0.03
Rosen 1989   31  0.375  0.0425  0.0839  0.1974  0.0345  0.08
Rosenthal 1930   59  0.3040  0.0068  0.0471  0.0459  0.0473  0.04
Rosenthal 1931   86  0.1587  0.0086  0.0287  0.0287  0.0289  0.02
Rosenthal 1931b   82  0.2156  0.0074  0.0383  0.0363  0.0485  0.03
Rosenthal 1931c   85  0.1988  0.0084  0.0386  0.0375  0.0386  0.03
Rosenthal 1931d   80  0.2268  0.0079  0.0382  0.0377  0.0384  0.03
Rossi 2007   47  0.3321  0.0150  0.0554  0.0541  0.1243  0.08
Rubinstein 1939   53  0.3177  0.0048  0.0553  0.0558  0.0463  0.04
Rubinstein 1952   10  0.4230  0.009  0.098  0.5369  0.0426  0.15
Rubinstein 1966   6  0.4410  0.026  0.157  0.5354  0.0617  0.18
Schilhawsky 1960   9  0.4215  0.0114  0.0825  0.3167  0.0431  0.11
Shebanova 2002   32  0.3770  0.0042  0.0740  0.1961  0.0538  0.10
Smith 1975   66  0.2952  0.0065  0.0464  0.0474  0.0462  0.04
Sokolov 2002   22  0.3911  0.0220  0.0815  0.4331  0.348  0.38
Sztompka 1959   16  0.4051  0.0031  0.0626  0.3043  0.1116  0.18
Tomsic 1995   78  0.2389  0.0078  0.0379  0.0376  0.0478  0.03
Uninsky 1932   71  0.2669  0.0057  0.0470  0.0470  0.0470  0.04
Uninsky 1971   30  0.3745  0.0046  0.0647  0.0663  0.0553  0.05
Wasowski 1980   57  0.3090  0.0069  0.0465  0.0463  0.0560  0.04
Zak 1937   35  0.3653  0.0037  0.0535  0.2361  0.0436  0.10
Zak 1951   29  0.3836  0.0023  0.0919  0.3845  0.0720  0.16
Average   1  0.521  0.371  0.371  0.7379  0.0324  0.15
Random 1   91  -0.0691  0.0091  0.0191  0.0167  0.0291  0.01
Random 2   89  0.0461  0.0090  0.0289  0.0229  0.2348  0.07
Random 3   90  -0.0478  0.0089  0.0290  0.0232  0.2050  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).