Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.5845  0.0018  0.0920  0.4131  0.1722  0.26
Anderszewski 2003   52  0.4415  0.0154  0.0564  0.0564  0.0368  0.04
Ashkenazy 1981   44  0.4748  0.0035  0.0538  0.2061  0.0444  0.09
Bacha 2000   28  0.5138  0.0044  0.0544  0.1025  0.4026  0.20
Badura 1965   57  0.4241  0.0022  0.1123  0.3912  0.4511  0.42
Barbosa 1983   21  0.545  0.046  0.207  0.556  0.565  0.55
Biret 1990   43  0.4872  0.0052  0.0565  0.0569  0.0471  0.04
Blet 2003   24  0.5362  0.0029  0.0628  0.3246  0.0732  0.15
Block 1995   61  0.4152  0.0051  0.0467  0.0463  0.0469  0.04
Blumental 1952   74  0.3620  0.0069  0.0561  0.0570  0.0470  0.04
Boshniakovich 1969   41  0.4832  0.0013  0.0917  0.4225  0.3814  0.40
Brailowsky 1960   42  0.4810  0.0146  0.0469  0.0441  0.1146  0.07
Bunin 1987   67  0.3988  0.0075  0.0380  0.0372  0.0484  0.03
Bunin 1987b   65  0.3989  0.0074  0.0476  0.0469  0.0378  0.03
Chiu 1999   62  0.4158  0.0040  0.0837  0.2149  0.0540  0.10
Cohen 1997   76  0.3544  0.0036  0.0640  0.1431  0.2629  0.19
Cortot 1951   70  0.3865  0.0078  0.0384  0.0372  0.0385  0.03
Csalog 1996   25  0.5318  0.0137  0.0932  0.2917  0.4716  0.37
Czerny 1949   59  0.4255  0.0056  0.0655  0.0655  0.0557  0.05
Czerny 1990   33  0.5049  0.0043  0.0543  0.1065  0.0452  0.06
Duchoud 2007   37  0.4946  0.0063  0.0746  0.0765  0.0459  0.05
Ezaki 2006   23  0.5450  0.0030  0.0827  0.3241  0.1128  0.19
Falvay 1989   11  0.5635  0.0019  0.0816  0.4336  0.1720  0.27
Farrell 1958   40  0.4822  0.0047  0.0470  0.0443  0.1348  0.07
Ferenczy 1958   38  0.4919  0.0160  0.0658  0.0639  0.1443  0.09
Fliere 1977   16  0.5581  0.0021  0.1421  0.4157  0.0533  0.14
Fou 1978   5  0.651  0.451  0.452  0.683  0.613  0.64
Francois 1956   31  0.5039  0.0031  0.0635  0.2551  0.0539  0.11
Friedman 1923   86  0.0382  0.0088  0.0289  0.0288  0.0290  0.02
Friedman 1923b   87  0.0387  0.0089  0.0288  0.0286  0.0288  0.02
Friedman 1930   85  0.0969  0.0084  0.0287  0.0281  0.0386  0.02
Garcia 2007   82  0.289  0.0177  0.0378  0.0343  0.1151  0.06
Garcia 2007b   84  0.0978  0.0085  0.0385  0.0379  0.0289  0.02
Gierzod 1998   49  0.4583  0.0058  0.0649  0.0665  0.0458  0.05
Gornostaeva 1994   22  0.5428  0.0020  0.098  0.5131  0.2418  0.35
Groot 1988   8  0.5979  0.0015  0.0812  0.4639  0.1919  0.30
Harasiewicz 1955   77  0.3459  0.0027  0.0729  0.3157  0.0438  0.11
Hatto 1993   53  0.4416  0.0132  0.0730  0.3039  0.1625  0.22
Hatto 1997   35  0.508  0.0125  0.0724  0.3732  0.2021  0.27
Horowitz 1949   64  0.4184  0.0048  0.0560  0.0541  0.0949  0.07
Indjic 1988   51  0.4524  0.0033  0.1033  0.2840  0.1527  0.20
Kapell 1951   39  0.4860  0.0065  0.0656  0.0682  0.0365  0.04
Kissin 1993   10  0.5711  0.0111  0.139  0.5022  0.359  0.42
Kushner 1989   17  0.5547  0.0023  0.0922  0.4042  0.1324  0.23
Luisada 1991   15  0.5512  0.0110  0.1410  0.5026  0.3312  0.41
Lushtak 2004   36  0.4953  0.0026  0.0726  0.3357  0.0534  0.13
Malcuzynski 1961   26  0.5326  0.0057  0.0747  0.0770  0.0455  0.05
Magaloff 1978   46  0.4742  0.0059  0.0650  0.0668  0.0364  0.04
Magin 1975   72  0.3656  0.0070  0.0474  0.0475  0.0377  0.03
Michalowski 1933   83  0.1676  0.0083  0.0559  0.0565  0.0467  0.04
Milkina 1970   4  0.666  0.024  0.205  0.644  0.594  0.61
Mohovich 1999   3  0.682  0.213  0.351  0.753  0.671  0.71
Moravec 1969   29  0.5137  0.0055  0.0566  0.0566  0.0462  0.04
Morozova 2008   34  0.5054  0.0024  0.1025  0.3461  0.0436  0.12
Neighaus 1950   27  0.5231  0.0028  0.0631  0.3050  0.0635  0.13
Niedzielski 1931   78  0.3373  0.0081  0.0473  0.0483  0.0276  0.03
Ohlsson 1999   30  0.5185  0.0045  0.0545  0.0971  0.0450  0.06
Osinska 1989   19  0.5536  0.009  0.1715  0.4412  0.477  0.45
Pachmann 1927   48  0.4674  0.0038  0.0639  0.1925  0.3423  0.25
Paderewski 1930   47  0.4768  0.0061  0.0648  0.0653  0.0556  0.05
Perlemuter 1992   56  0.4366  0.0049  0.0657  0.0666  0.0453  0.05
Pierdomenico 2008   71  0.3843  0.0062  0.0653  0.0658  0.0454  0.05
Poblocka 1999   18  0.5534  0.0042  0.0541  0.1369  0.0447  0.07
Rabcewiczowa 1932   50  0.4561  0.0041  0.0442  0.1333  0.2330  0.17
Rachmaninoff 1923   81  0.2929  0.0080  0.0379  0.0375  0.0375  0.03
Rangell 2001   13  0.5617  0.0112  0.1414  0.4516  0.3813  0.41
Richter 1976   58  0.4240  0.0072  0.0471  0.0476  0.0379  0.03
Rosen 1989   32  0.5063  0.0034  0.0534  0.2852  0.0437  0.11
Rosenthal 1930   68  0.3925  0.0076  0.0381  0.0375  0.0383  0.03
Rosenthal 1931   69  0.3923  0.0053  0.0563  0.0530  0.2241  0.10
Rosenthal 1931b   75  0.3564  0.0067  0.0651  0.0647  0.0561  0.05
Rosenthal 1931c   55  0.4375  0.0066  0.0652  0.0666  0.0372  0.04
Rosenthal 1931d   73  0.3670  0.0068  0.0654  0.0649  0.0560  0.05
Rossi 2007   88  0.0280  0.0086  0.0382  0.0357  0.0374  0.03
Rubinstein 1939   7  0.6013  0.018  0.1511  0.493  0.586  0.53
Rubinstein 1952   2  0.684  0.042  0.293  0.671  0.632  0.65
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   79  0.3357  0.0079  0.0386  0.0369  0.0381  0.03
Shebanova 2002   12  0.5671  0.0014  0.0913  0.4522  0.3910  0.42
Smith 1975   45  0.4730  0.0039  0.0636  0.2477  0.0345  0.08
Sokolov 2002   66  0.3951  0.0082  0.0477  0.0477  0.0373  0.03
Sztompka 1959   54  0.4477  0.0064  0.0562  0.0566  0.0466  0.04
Tomsic 1995   6  0.627  0.027  0.176  0.6119  0.318  0.43
Uninsky 1932   80  0.3367  0.0073  0.0383  0.0367  0.0482  0.03
Uninsky 1971   60  0.4227  0.0071  0.0472  0.0477  0.0380  0.03
Wasowski 1980   63  0.4186  0.0050  0.0468  0.0461  0.0463  0.04
Zak 1937   14  0.5621  0.0017  0.1218  0.4229  0.3215  0.37
Zak 1951   20  0.5414  0.0116  0.0819  0.4130  0.3017  0.35
Average   1  0.683  0.055  0.254  0.6765  0.0431  0.16
Random 1   91  -0.0790  0.0090  0.0190  0.0170  0.0387  0.02
Random 2   89  0.0033  0.0087  0.0475  0.0425  0.2542  0.10
Random 3   90  -0.0491  0.0091  0.0191  0.0182  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).