Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7329  0.009  0.1311  0.4815  0.4317  0.45
Anderszewski 2003   72  0.5048  0.0064  0.0558  0.0535  0.1464  0.08
Ashkenazy 1981   26  0.6532  0.0016  0.0822  0.3322  0.4025  0.36
Bacha 2000   64  0.5367  0.0036  0.0435  0.1614  0.4232  0.26
Badura 1965   50  0.5978  0.0049  0.0651  0.0615  0.3950  0.15
Barbosa 1983   44  0.6037  0.0053  0.0653  0.0612  0.4548  0.16
Biret 1990   42  0.6212  0.0029  0.0527  0.2417  0.3429  0.29
Blet 2003   35  0.6349  0.0057  0.0656  0.0637  0.1563  0.09
Block 1995   73  0.5024  0.0066  0.0468  0.0437  0.1665  0.08
Blumental 1952   70  0.5125  0.0072  0.0476  0.0446  0.0675  0.05
Boshniakovich 1969   30  0.6479  0.0031  0.0531  0.1911  0.5527  0.32
Brailowsky 1960   56  0.5750  0.0041  0.0444  0.0916  0.4044  0.19
Bunin 1987   38  0.6258  0.0052  0.0654  0.0617  0.4249  0.16
Bunin 1987b   40  0.6238  0.0051  0.0469  0.0416  0.4352  0.13
Chiu 1999   24  0.6680  0.0022  0.0620  0.345  0.6114  0.46
Cohen 1997   88  0.3181  0.0087  0.0381  0.0344  0.0876  0.05
Cortot 1951   61  0.5526  0.0070  0.0377  0.0355  0.0585  0.04
Csalog 1996   66  0.5313  0.0035  0.0446  0.087  0.5243  0.20
Czerny 1949   32  0.6439  0.0045  0.0741  0.1325  0.3342  0.21
Czerny 1990   16  0.6933  0.0021  0.0623  0.3027  0.2630  0.28
Duchoud 2007   60  0.5651  0.0065  0.0566  0.0549  0.0573  0.05
Ezaki 2006   5  0.7359  0.0011  0.1512  0.468  0.4811  0.47
Falvay 1989   27  0.6540  0.0034  0.0442  0.1318  0.4335  0.24
Farrell 1958   48  0.5941  0.0056  0.0565  0.0527  0.2556  0.11
Ferenczy 1958   71  0.5082  0.0071  0.0470  0.0462  0.0482  0.04
Fliere 1977   4  0.7523  0.003  0.194  0.644  0.555  0.59
Fou 1978   11  0.704  0.0019  0.0816  0.427  0.5015  0.46
Francois 1956   33  0.6342  0.0043  0.0539  0.1421  0.3940  0.23
Friedman 1923   86  0.3583  0.0086  0.0386  0.0355  0.0686  0.04
Friedman 1923b   83  0.3768  0.0085  0.0379  0.0370  0.0583  0.04
Friedman 1930   80  0.4460  0.0077  0.0474  0.0456  0.0581  0.04
Garcia 2007   76  0.4884  0.0074  0.0383  0.0338  0.1766  0.07
Garcia 2007b   84  0.3617  0.0084  0.0475  0.0440  0.1167  0.07
Gierzod 1998   19  0.678  0.0017  0.0918  0.3618  0.4021  0.38
Gornostaeva 1994   63  0.5452  0.0068  0.0562  0.0554  0.0577  0.05
Groot 1988   15  0.6969  0.0014  0.1010  0.487  0.5510  0.51
Harasiewicz 1955   18  0.6843  0.006  0.136  0.602  0.576  0.58
Hatto 1993   65  0.5318  0.0037  0.0533  0.1917  0.3533  0.26
Hatto 1997   58  0.5644  0.0038  0.0534  0.1617  0.3439  0.23
Horowitz 1949   8  0.7285  0.005  0.149  0.492  0.657  0.56
Indjic 1988   62  0.5534  0.0030  0.0532  0.1916  0.3831  0.27
Kapell 1951   31  0.6414  0.0044  0.0540  0.1340  0.1451  0.13
Kissin 1993   3  0.7511  0.008  0.173  0.656  0.672  0.66
Kushner 1989   23  0.6619  0.0032  0.0530  0.2030  0.2638  0.23
Luisada 1991   21  0.663  0.004  0.1614  0.437  0.5112  0.47
Lushtak 2004   10  0.717  0.0012  0.147  0.532  0.539  0.53
Malcuzynski 1961   55  0.5845  0.0060  0.0749  0.0726  0.2353  0.13
Magaloff 1978   43  0.6170  0.0039  0.0536  0.1521  0.3537  0.23
Magin 1975   53  0.589  0.0027  0.0629  0.2122  0.2836  0.24
Michalowski 1933   85  0.3686  0.0080  0.0388  0.0364  0.0580  0.04
Milkina 1970   22  0.6610  0.0013  0.1213  0.439  0.5213  0.47
Mohovich 1999   7  0.7315  0.0010  0.178  0.525  0.598  0.55
Moravec 1969   67  0.5353  0.0076  0.0378  0.0334  0.2661  0.09
Morozova 2008   17  0.6827  0.0024  0.1021  0.349  0.4023  0.37
Neighaus 1950   9  0.7161  0.007  0.155  0.634  0.594  0.61
Niedzielski 1931   59  0.5654  0.0050  0.0655  0.0611  0.4547  0.16
Ohlsson 1999   29  0.6471  0.0028  0.0624  0.3019  0.3926  0.34
Osinska 1989   36  0.6287  0.0046  0.0559  0.0540  0.1662  0.09
Pachmann 1927   51  0.5855  0.0054  0.0560  0.053  0.5746  0.17
Paderewski 1930   74  0.4988  0.0075  0.0384  0.0371  0.0387  0.03
Perlemuter 1992   12  0.7089  0.0023  0.1019  0.346  0.5218  0.42
Pierdomenico 2008   57  0.5772  0.0061  0.0747  0.0715  0.4345  0.17
Poblocka 1999   39  0.6220  0.0047  0.0657  0.0638  0.1658  0.10
Rabcewiczowa 1932   69  0.5273  0.0073  0.0473  0.0463  0.0479  0.04
Rachmaninoff 1923   25  0.6562  0.0025  0.1325  0.2910  0.4622  0.37
Rangell 2001   77  0.462  0.0067  0.0567  0.0535  0.2160  0.10
Richter 1976   49  0.5990  0.0033  0.0443  0.0912  0.4741  0.21
Rosen 1989   45  0.605  0.0059  0.0750  0.0739  0.1559  0.10
Rosenthal 1930   75  0.4956  0.0078  0.0561  0.0550  0.0574  0.05
Rosenthal 1931   82  0.4330  0.0083  0.0385  0.0343  0.0972  0.05
Rosenthal 1931b   81  0.4374  0.0082  0.0380  0.0335  0.1170  0.06
Rosenthal 1931c   78  0.4663  0.0079  0.0382  0.0358  0.0489  0.03
Rosenthal 1931d   79  0.4446  0.0081  0.0387  0.0350  0.0684  0.04
Rossi 2007   87  0.3264  0.0088  0.0472  0.0475  0.0478  0.04
Rubinstein 1939   68  0.5265  0.0069  0.0471  0.0413  0.3754  0.12
Rubinstein 1952   34  0.6321  0.0015  0.1028  0.239  0.5824  0.37
Rubinstein 1966   20  0.6631  0.0026  0.0926  0.278  0.6020  0.40
Schilhawsky 1960   14  0.6957  0.0020  0.0617  0.3812  0.4619  0.42
Shebanova 2002   13  0.7022  0.0018  0.0715  0.4213  0.5016  0.46
Smith 1975   41  0.6266  0.0055  0.0564  0.0548  0.0571  0.05
Sokolov 2002   37  0.6275  0.0040  0.0538  0.1521  0.3934  0.24
Sztompka 1959   52  0.5835  0.0063  0.0945  0.0972  0.0468  0.06
Tomsic 1995   28  0.6591  0.0042  0.0437  0.1511  0.5528  0.29
Uninsky 1932   54  0.586  0.0062  0.0652  0.0655  0.0669  0.06
Uninsky 1971   46  0.6016  0.0058  0.0748  0.0737  0.1857  0.11
Wasowski 1980   47  0.6076  0.0048  0.0563  0.0523  0.2555  0.11
Zak 1937   1  0.991  0.991  0.981  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Average   2  0.8128  0.002  0.462  0.767  0.563  0.65
Random 1   90  -0.1236  0.0090  0.0190  0.0148  0.0590  0.02
Random 2   89  -0.1177  0.0089  0.0289  0.0249  0.0488  0.03
Random 3   91  -0.1747  0.0091  0.0191  0.0187  0.0291  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).