Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.4337  0.0031  0.0930  0.2853  0.0530  0.12
Anderszewski 2003   40  0.4329  0.0036  0.0637  0.1852  0.0346  0.07
Ashkenazy 1981   21  0.4981  0.0033  0.0822  0.3664  0.0431  0.12
Bacha 2000   71  0.3114  0.0083  0.0285  0.0254  0.0568  0.03
Badura 1965   55  0.4025  0.0022  0.0723  0.3625  0.3113  0.33
Barbosa 1983   85  0.2174  0.0085  0.0284  0.0287  0.0289  0.02
Biret 1990   68  0.3360  0.0075  0.0373  0.0383  0.0386  0.03
Blet 2003   66  0.3561  0.0067  0.0375  0.0371  0.0479  0.03
Block 1995   39  0.4382  0.0049  0.0552  0.0565  0.0465  0.04
Blumental 1952   72  0.3162  0.0060  0.0458  0.0469  0.0466  0.04
Boshniakovich 1969   48  0.4183  0.0045  0.0445  0.0857  0.0450  0.06
Brailowsky 1960   51  0.4133  0.0054  0.0553  0.0558  0.0457  0.04
Bunin 1987   25  0.4775  0.0030  0.0925  0.3447  0.0626  0.14
Bunin 1987b   24  0.4763  0.0029  0.1024  0.3546  0.0719  0.16
Chiu 1999   80  0.2542  0.0065  0.0382  0.0377  0.0371  0.03
Cohen 1997   60  0.3710  0.0044  0.0544  0.0929  0.2721  0.16
Cortot 1951   13  0.5213  0.0027  0.0920  0.3724  0.3411  0.35
Csalog 1996   79  0.2671  0.0088  0.0288  0.0273  0.0390  0.02
Czerny 1949   19  0.4950  0.0015  0.1011  0.5632  0.289  0.40
Czerny 1990   37  0.4447  0.0047  0.0646  0.0677  0.0367  0.04
Duchoud 2007   53  0.4043  0.0066  0.0376  0.0378  0.0384  0.03
Ezaki 2006   9  0.579  0.018  0.157  0.6630  0.277  0.42
Falvay 1989   30  0.4552  0.0037  0.0632  0.2575  0.0338  0.09
Farrell 1958   52  0.4140  0.0069  0.0370  0.0370  0.0373  0.03
Ferenczy 1958   43  0.4348  0.0058  0.0459  0.0452  0.0652  0.05
Fliere 1977   16  0.5257  0.0018  0.0719  0.4058  0.0524  0.14
Fou 1978   41  0.4364  0.0040  0.0541  0.1450  0.0735  0.10
Francois 1956   12  0.5328  0.0011  0.1812  0.5434  0.2112  0.34
Friedman 1923   83  0.2341  0.0057  0.0555  0.0535  0.1640  0.09
Friedman 1923b   84  0.2284  0.0059  0.0463  0.0437  0.1544  0.08
Friedman 1930   67  0.3538  0.0024  0.0736  0.2239  0.2016  0.21
Garcia 2007   86  0.2012  0.0082  0.0374  0.0374  0.0385  0.03
Garcia 2007b   88  0.0885  0.0087  0.0286  0.0277  0.0291  0.02
Gierzod 1998   10  0.556  0.0112  0.1914  0.5230  0.1914  0.31
Gornostaeva 1994   8  0.5834  0.0010  0.1510  0.6122  0.336  0.45
Groot 1988   18  0.5139  0.0013  0.1113  0.5247  0.0522  0.16
Harasiewicz 1955   62  0.3776  0.0019  0.0826  0.3377  0.0337  0.10
Hatto 1993   74  0.2865  0.0077  0.0371  0.0377  0.0387  0.03
Hatto 1997   70  0.3166  0.0063  0.0367  0.0388  0.0380  0.03
Horowitz 1949   31  0.4577  0.0034  0.0934  0.2347  0.0629  0.12
Indjic 1988   77  0.2767  0.0079  0.0380  0.0375  0.0378  0.03
Kapell 1951   49  0.4186  0.0074  0.0462  0.0480  0.0374  0.03
Kissin 1993   33  0.4526  0.0039  0.0640  0.1566  0.0442  0.08
Kushner 1989   17  0.5235  0.0026  0.0729  0.3051  0.0433  0.11
Luisada 1991   73  0.2987  0.0084  0.0287  0.0285  0.0388  0.02
Lushtak 2004   57  0.3944  0.0041  0.0642  0.1375  0.0349  0.06
Malcuzynski 1961   7  0.6136  0.007  0.219  0.6129  0.298  0.42
Magaloff 1978   6  0.6449  0.006  0.226  0.7117  0.345  0.49
Magin 1975   47  0.4272  0.0050  0.0556  0.0563  0.0459  0.04
Michalowski 1933   82  0.2368  0.0064  0.0378  0.0368  0.0477  0.03
Milkina 1970   32  0.4588  0.0051  0.0550  0.0569  0.0460  0.04
Mohovich 1999   23  0.488  0.0114  0.1016  0.4860  0.0425  0.14
Moravec 1969   29  0.4616  0.0048  0.0551  0.0570  0.0455  0.04
Morozova 2008   35  0.4415  0.0023  0.0918  0.4369  0.0428  0.13
Neighaus 1950   15  0.5221  0.0017  0.0815  0.4956  0.0523  0.16
Niedzielski 1931   61  0.3724  0.0071  0.0460  0.0449  0.0558  0.04
Ohlsson 1999   28  0.4678  0.0052  0.0547  0.0570  0.0462  0.04
Osinska 1989   34  0.4558  0.0046  0.0457  0.0469  0.0456  0.04
Pachmann 1927   81  0.2530  0.0078  0.0369  0.0366  0.0476  0.03
Paderewski 1930   22  0.485  0.0216  0.0835  0.2242  0.1220  0.16
Perlemuter 1992   56  0.4079  0.0032  0.0928  0.3153  0.0432  0.11
Pierdomenico 2008   64  0.3532  0.0068  0.0377  0.0387  0.0372  0.03
Poblocka 1999   45  0.4289  0.0073  0.0364  0.0372  0.0470  0.03
Rabcewiczowa 1932   63  0.3745  0.0043  0.0543  0.1053  0.0545  0.07
Rachmaninoff 1923   46  0.4217  0.0021  0.0721  0.3737  0.1715  0.25
Rangell 2001   26  0.4718  0.0028  0.0831  0.2654  0.0436  0.10
Richter 1976   54  0.4051  0.0053  0.0549  0.0567  0.0361  0.04
Rosen 1989   20  0.497  0.0125  0.0727  0.3249  0.0434  0.11
Rosenthal 1930   4  0.743  0.144  0.614  0.831  0.854  0.84
Rosenthal 1931   3  0.752  0.222  0.562  0.923  0.951  0.93
Rosenthal 1931b   1  0.771  0.471  0.471  0.923  0.952  0.93
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   2  0.764  0.073  0.563  0.913  0.933  0.92
Rossi 2007   87  0.1880  0.0072  0.0379  0.0338  0.1347  0.06
Rubinstein 1939   75  0.2827  0.0080  0.0381  0.0340  0.1448  0.06
Rubinstein 1952   58  0.3853  0.0062  0.0461  0.0458  0.0654  0.05
Rubinstein 1966   42  0.4319  0.0061  0.0366  0.0352  0.0664  0.04
Schilhawsky 1960   36  0.4473  0.0042  0.0539  0.1661  0.0443  0.08
Shebanova 2002   69  0.3254  0.0081  0.0365  0.0376  0.0382  0.03
Smith 1975   14  0.5231  0.009  0.218  0.6436  0.2110  0.37
Sokolov 2002   11  0.5422  0.0020  0.0917  0.4346  0.0717  0.17
Sztompka 1959   27  0.4623  0.0035  0.0633  0.2546  0.0727  0.13
Tomsic 1995   38  0.4320  0.0038  0.0638  0.1667  0.0441  0.08
Uninsky 1932   78  0.2669  0.0076  0.0368  0.0382  0.0381  0.03
Uninsky 1971   50  0.4190  0.0055  0.0554  0.0561  0.0463  0.04
Wasowski 1980   76  0.2770  0.0086  0.0283  0.0255  0.0569  0.03
Zak 1937   65  0.3559  0.0070  0.0372  0.0370  0.0475  0.03
Zak 1951   59  0.3855  0.0056  0.0548  0.0555  0.0551  0.05
Average   5  0.6511  0.005  0.285  0.7369  0.0418  0.17
Random 1   91  0.0091  0.0091  0.0191  0.0120  0.2853  0.05
Random 2   90  0.0056  0.0090  0.0190  0.0140  0.1283  0.03
Random 3   89  0.0646  0.0089  0.0289  0.0214  0.3739  0.09

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).