Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.3731  0.0076  0.0284  0.0283  0.0283  0.02
Anderszewski 2003   40  0.4832  0.0017  0.0733  0.1442  0.1024  0.12
Ashkenazy 1981   48  0.4514  0.0052  0.0556  0.0580  0.0357  0.04
Bacha 2000   29  0.5364  0.0053  0.0557  0.0562  0.0453  0.04
Badura 1965   76  0.2659  0.0068  0.0551  0.0582  0.0271  0.03
Barbosa 1983   78  0.2518  0.0075  0.0279  0.0289  0.0189  0.01
Biret 1990   41  0.4713  0.0057  0.0549  0.0582  0.0274  0.03
Blet 2003   64  0.3776  0.0074  0.0281  0.0285  0.0280  0.02
Block 1995   9  0.6465  0.0011  0.1018  0.3421  0.2810  0.31
Blumental 1952   84  0.1866  0.0081  0.0285  0.0279  0.0285  0.02
Boshniakovich 1969   27  0.5377  0.0022  0.0919  0.3446  0.0621  0.14
Brailowsky 1960   5  0.7244  0.005  0.365  0.554  0.525  0.53
Bunin 1987   35  0.4950  0.0050  0.0645  0.0645  0.0552  0.05
Bunin 1987b   36  0.4945  0.0049  0.0547  0.0545  0.0547  0.05
Chiu 1999   67  0.3478  0.0043  0.0541  0.1065  0.0444  0.06
Cohen 1997   54  0.4279  0.0037  0.0632  0.1413  0.4117  0.24
Cortot 1951   71  0.3135  0.0084  0.0282  0.0286  0.0287  0.02
Csalog 1996   69  0.3480  0.0077  0.0275  0.0256  0.0569  0.03
Czerny 1949   66  0.3416  0.0070  0.0366  0.0381  0.0282  0.02
Czerny 1990   59  0.4033  0.0069  0.0368  0.0377  0.0373  0.03
Duchoud 2007   58  0.4060  0.0073  0.0280  0.0283  0.0284  0.02
Ezaki 2006   32  0.5110  0.0046  0.0462  0.0467  0.0360  0.03
Falvay 1989   16  0.5955  0.0012  0.0816  0.3573  0.0328  0.10
Farrell 1958   20  0.5526  0.0036  0.0542  0.1040  0.1129  0.10
Ferenczy 1958   70  0.3136  0.0086  0.0286  0.0286  0.0281  0.02
Fliere 1977   12  0.6356  0.0020  0.0912  0.3764  0.0422  0.12
Fou 1978   15  0.614  0.018  0.106  0.4626  0.347  0.40
Francois 1956   38  0.498  0.0045  0.0552  0.0577  0.0358  0.04
Friedman 1923   88  0.0361  0.0083  0.0276  0.0247  0.0759  0.04
Friedman 1923b   85  0.0551  0.0082  0.0283  0.0261  0.0572  0.03
Friedman 1930   81  0.1967  0.0064  0.0465  0.0461  0.0556  0.04
Garcia 2007   62  0.3852  0.0056  0.0553  0.0547  0.0551  0.05
Garcia 2007b   80  0.2127  0.0055  0.0554  0.0526  0.1735  0.09
Gierzod 1998   25  0.5437  0.0035  0.0536  0.1368  0.0345  0.06
Gornostaeva 1994   11  0.646  0.0013  0.0813  0.3638  0.1715  0.25
Groot 1988   7  0.6546  0.007  0.107  0.4536  0.1612  0.27
Harasiewicz 1955   44  0.4681  0.0014  0.0914  0.3644  0.0720  0.16
Hatto 1993   74  0.2817  0.0059  0.0550  0.0575  0.0275  0.03
Hatto 1997   72  0.307  0.0038  0.0434  0.1479  0.0250  0.05
Horowitz 1949   17  0.5868  0.0010  0.089  0.4119  0.328  0.36
Indjic 1988   73  0.2819  0.0058  0.0458  0.0480  0.0268  0.03
Kapell 1951   60  0.3957  0.0072  0.0278  0.0283  0.0278  0.02
Kissin 1993   22  0.5582  0.0023  0.0822  0.3264  0.0427  0.11
Kushner 1989   14  0.6283  0.0021  0.0724  0.2767  0.0333  0.09
Luisada 1991   33  0.5153  0.0047  0.0555  0.0555  0.0454  0.04
Lushtak 2004   65  0.3547  0.0039  0.0444  0.0843  0.0936  0.08
Malcuzynski 1961   8  0.6420  0.0019  0.0621  0.3265  0.0426  0.11
Magaloff 1978   4  0.765  0.004  0.414  0.667  0.464  0.55
Magin 1975   21  0.5584  0.0024  0.1023  0.3036  0.1519  0.21
Michalowski 1933   86  0.0548  0.0085  0.0277  0.0275  0.0379  0.02
Milkina 1970   10  0.6422  0.006  0.0910  0.4128  0.259  0.32
Mohovich 1999   18  0.5724  0.0025  0.0617  0.3569  0.0332  0.10
Moravec 1969   46  0.4625  0.0065  0.0370  0.0376  0.0361  0.03
Morozova 2008   61  0.3885  0.0041  0.0438  0.1160  0.0442  0.07
Neighaus 1950   28  0.5328  0.0034  0.0628  0.1979  0.0338  0.08
Niedzielski 1931   53  0.4386  0.0054  0.0646  0.0658  0.0446  0.05
Ohlsson 1999   51  0.4469  0.0066  0.0369  0.0372  0.0366  0.03
Osinska 1989   50  0.4538  0.0061  0.0461  0.0468  0.0455  0.04
Pachmann 1927   52  0.4470  0.0030  0.0626  0.2628  0.2714  0.26
Paderewski 1930   49  0.4562  0.0062  0.0367  0.0370  0.0365  0.03
Perlemuter 1992   45  0.4663  0.0042  0.0437  0.1377  0.0343  0.06
Pierdomenico 2008   24  0.5539  0.0015  0.0720  0.3329  0.2113  0.26
Poblocka 1999   55  0.4229  0.0078  0.0373  0.0385  0.0362  0.03
Rabcewiczowa 1932   77  0.2540  0.0087  0.0287  0.0287  0.0277  0.02
Rachmaninoff 1923   43  0.4787  0.0033  0.0631  0.1674  0.0339  0.07
Rangell 2001   13  0.6221  0.009  0.0915  0.3635  0.1716  0.25
Richter 1976   31  0.5149  0.0031  0.0629  0.1847  0.0534  0.09
Rosen 1989   19  0.559  0.0028  0.0630  0.1757  0.0437  0.08
Rosenthal 1930   6  0.6711  0.0016  0.078  0.4419  0.416  0.42
Rosenthal 1931   2  0.922  0.042  0.842  0.922  0.932  0.92
Rosenthal 1931b   1  0.961  0.911  0.901  0.962  0.971  0.96
Rosenthal 1931c   3  0.793  0.013  0.323  0.763  0.783  0.77
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   79  0.2134  0.0051  0.0459  0.0472  0.0364  0.03
Rubinstein 1939   57  0.4012  0.0027  0.0639  0.118  0.4818  0.23
Rubinstein 1952   23  0.5554  0.0026  0.0725  0.2727  0.3111  0.29
Rubinstein 1966   42  0.4771  0.0048  0.0548  0.0559  0.0549  0.05
Schilhawsky 1960   39  0.4930  0.0040  0.0540  0.1052  0.0541  0.07
Shebanova 2002   56  0.4172  0.0067  0.0460  0.0475  0.0370  0.03
Smith 1975   26  0.5315  0.0018  0.0811  0.3857  0.0423  0.12
Sokolov 2002   47  0.4641  0.0063  0.0463  0.0485  0.0263  0.03
Sztompka 1959   82  0.1973  0.0088  0.0189  0.0185  0.0288  0.01
Tomsic 1995   37  0.4923  0.0044  0.0543  0.0984  0.0348  0.05
Uninsky 1932   83  0.1874  0.0089  0.0188  0.0185  0.0290  0.01
Uninsky 1971   68  0.3442  0.0079  0.0374  0.0377  0.0367  0.03
Wasowski 1980   75  0.2788  0.0080  0.0371  0.0386  0.0276  0.02
Zak 1937   34  0.5058  0.0032  0.0635  0.1368  0.0440  0.07
Zak 1951   30  0.5189  0.0029  0.0627  0.2472  0.0430  0.10
Random 1   87  0.0390  0.0060  0.0464  0.0412  0.3925  0.12
Random 2   90  -0.0143  0.0071  0.0372  0.0312  0.3631  0.10
Random 3   89  0.0175  0.0090  0.0190  0.0164  0.0486  0.02

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).