Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7341  0.007  0.1513  0.4523  0.3819  0.41
Anderszewski 2003   71  0.5114  0.0065  0.0478  0.0475  0.0385  0.03
Ashkenazy 1981   26  0.6684  0.0018  0.0919  0.4024  0.3621  0.38
Bacha 2000   54  0.5845  0.0032  0.0535  0.1910  0.4531  0.29
Badura 1965   58  0.5770  0.0045  0.0559  0.0526  0.3454  0.13
Barbosa 1983   49  0.6071  0.0050  0.0562  0.0513  0.3951  0.14
Biret 1990   24  0.6612  0.0025  0.0721  0.3915  0.3523  0.37
Blet 2003   34  0.649  0.0057  0.0654  0.0643  0.0963  0.07
Block 1995   74  0.4952  0.0066  0.0472  0.0443  0.1066  0.06
Blumental 1952   66  0.5531  0.0064  0.0466  0.0425  0.2061  0.09
Boshniakovich 1969   25  0.663  0.0027  0.0723  0.337  0.5715  0.43
Brailowsky 1960   48  0.6072  0.0034  0.0441  0.1516  0.3934  0.24
Bunin 1987   40  0.6124  0.0055  0.0650  0.0629  0.3055  0.13
Bunin 1987b   43  0.6162  0.0054  0.0564  0.0527  0.3353  0.13
Chiu 1999   20  0.6846  0.0014  0.0915  0.453  0.617  0.52
Cohen 1997   86  0.3373  0.0086  0.0379  0.0346  0.0676  0.04
Cortot 1951   59  0.5785  0.0069  0.0467  0.0451  0.0579  0.04
Csalog 1996   64  0.5620  0.0048  0.0658  0.065  0.5442  0.18
Czerny 1949   30  0.6434  0.0038  0.0534  0.2025  0.3133  0.25
Czerny 1990   14  0.6974  0.0021  0.0727  0.2733  0.1836  0.22
Duchoud 2007   62  0.564  0.0067  0.0565  0.0553  0.0569  0.05
Ezaki 2006   9  0.7228  0.0013  0.1118  0.4018  0.3720  0.38
Falvay 1989   27  0.656  0.0052  0.0651  0.0629  0.3549  0.14
Farrell 1958   38  0.6325  0.0049  0.0563  0.0523  0.2656  0.11
Ferenczy 1958   70  0.5275  0.0074  0.0475  0.0451  0.0574  0.04
Fliere 1977   2  0.7647  0.002  0.193  0.644  0.545  0.59
Fou 1978   12  0.7048  0.0016  0.0817  0.4211  0.4216  0.42
Francois 1956   37  0.6349  0.0047  0.0747  0.0724  0.3547  0.16
Friedman 1923   84  0.3632  0.0085  0.0384  0.0360  0.0581  0.04
Friedman 1923b   83  0.3763  0.0084  0.0382  0.0363  0.0577  0.04
Friedman 1930   80  0.4436  0.0076  0.0468  0.0467  0.0573  0.04
Garcia 2007   73  0.5086  0.0073  0.0476  0.0436  0.1959  0.09
Garcia 2007b   82  0.388  0.0078  0.0381  0.0336  0.1367  0.06
Gierzod 1998   11  0.7037  0.0017  0.0814  0.4513  0.4514  0.45
Gornostaeva 1994   68  0.5564  0.0070  0.0469  0.0474  0.0388  0.03
Groot 1988   17  0.6811  0.0015  0.0812  0.4616  0.4812  0.47
Harasiewicz 1955   35  0.6413  0.0011  0.107  0.544  0.488  0.51
Hatto 1993   65  0.5518  0.0030  0.0728  0.2714  0.3829  0.32
Hatto 1997   51  0.5916  0.0031  0.0530  0.2415  0.3532  0.29
Horowitz 1949   4  0.7376  0.003  0.205  0.571  0.672  0.62
Indjic 1988   55  0.5853  0.0029  0.0726  0.2714  0.4225  0.34
Kapell 1951   28  0.6522  0.0037  0.0437  0.1742  0.1150  0.14
Kissin 1993   3  0.7450  0.006  0.144  0.616  0.643  0.62
Kushner 1989   22  0.6751  0.0039  0.0538  0.1739  0.1545  0.16
Luisada 1991   18  0.6838  0.005  0.1811  0.4614  0.4811  0.47
Lushtak 2004   10  0.7154  0.0012  0.118  0.508  0.4313  0.46
Malcuzynski 1961   56  0.5755  0.0060  0.0748  0.0745  0.0664  0.06
Magaloff 1978   39  0.6277  0.0035  0.0542  0.1132  0.2343  0.16
Magin 1975   63  0.5656  0.0033  0.0532  0.2137  0.1540  0.18
Michalowski 1933   85  0.3587  0.0082  0.0385  0.0371  0.0483  0.03
Milkina 1970   16  0.6817  0.009  0.1210  0.4711  0.519  0.49
Mohovich 1999   5  0.7329  0.008  0.159  0.4714  0.5110  0.49
Moravec 1969   67  0.5557  0.0071  0.0477  0.0431  0.2757  0.10
Morozova 2008   21  0.6758  0.0022  0.0822  0.3611  0.3424  0.35
Neighaus 1950   6  0.735  0.004  0.192  0.644  0.584  0.61
Niedzielski 1931   50  0.6035  0.0040  0.0536  0.186  0.5030  0.30
Ohlsson 1999   23  0.6642  0.0028  0.0916  0.4320  0.3917  0.41
Osinska 1989   31  0.6459  0.0043  0.0840  0.1538  0.1648  0.15
Pachmann 1927   46  0.6015  0.0053  0.0653  0.064  0.5641  0.18
Paderewski 1930   72  0.5078  0.0075  0.0474  0.0456  0.0472  0.04
Perlemuter 1992   15  0.6839  0.0024  0.0624  0.3119  0.3527  0.33
Pierdomenico 2008   61  0.5665  0.0061  0.0652  0.0618  0.4244  0.16
Poblocka 1999   36  0.6430  0.0041  0.0633  0.2139  0.1538  0.18
Rabcewiczowa 1932   69  0.5366  0.0072  0.0471  0.0479  0.0382  0.03
Rachmaninoff 1923   33  0.6460  0.0026  0.0825  0.2815  0.3928  0.33
Rangell 2001   76  0.4923  0.0068  0.0560  0.0536  0.1958  0.10
Richter 1976   60  0.5767  0.0044  0.0543  0.1112  0.4535  0.22
Rosen 1989   44  0.6133  0.0059  0.0746  0.0743  0.1160  0.09
Rosenthal 1930   75  0.497  0.0077  0.0470  0.0451  0.0575  0.04
Rosenthal 1931   81  0.4361  0.0083  0.0383  0.0376  0.0384  0.03
Rosenthal 1931b   79  0.4443  0.0080  0.0386  0.0346  0.0580  0.04
Rosenthal 1931c   77  0.4688  0.0081  0.0287  0.0246  0.0589  0.03
Rosenthal 1931d   78  0.4568  0.0079  0.0380  0.0359  0.0578  0.04
Rossi 2007   87  0.2989  0.0087  0.0473  0.0465  0.0470  0.04
Rubinstein 1939   57  0.572  0.0036  0.0445  0.089  0.4039  0.18
Rubinstein 1952   29  0.6579  0.0019  0.0831  0.2213  0.5326  0.34
Rubinstein 1966   13  0.7080  0.0023  0.0729  0.2612  0.5322  0.37
Schilhawsky 1960   19  0.6826  0.0020  0.0720  0.3919  0.4418  0.41
Shebanova 2002   8  0.7221  0.0010  0.156  0.5610  0.556  0.55
Smith 1975   42  0.6181  0.0056  0.0561  0.0563  0.0471  0.04
Sokolov 2002   41  0.6169  0.0046  0.0657  0.0638  0.2752  0.13
Sztompka 1959   52  0.5882  0.0063  0.0844  0.0858  0.0662  0.07
Tomsic 1995   32  0.6419  0.0051  0.0655  0.0616  0.4546  0.16
Uninsky 1932   53  0.5840  0.0062  0.0656  0.0672  0.0468  0.05
Uninsky 1971   47  0.6027  0.0058  0.0749  0.0768  0.0565  0.06
Wasowski 1980   45  0.6044  0.0042  0.0639  0.1625  0.2137  0.18
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.991  0.991  0.981  1.001  1.001  1.00
Random 1   89  -0.1110  0.0089  0.0289  0.0246  0.0687  0.03
Random 2   88  -0.1190  0.0088  0.0288  0.0250  0.0486  0.03
Random 3   90  -0.1783  0.0090  0.0190  0.0184  0.0290  0.01

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).