Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.3315  0.0055  0.0454  0.0480  0.0273  0.03
Anderszewski 2003   33  0.3742  0.0029  0.0729  0.1948  0.0430  0.09
Ashkenazy 1981   38  0.3643  0.0041  0.0541  0.1089  0.0259  0.04
Bacha 2000   31  0.3835  0.0058  0.0468  0.0477  0.0361  0.03
Badura 1965   73  0.2151  0.0064  0.0463  0.0483  0.0375  0.03
Barbosa 1983   79  0.1852  0.0082  0.0377  0.0385  0.0284  0.02
Biret 1990   52  0.3316  0.0060  0.0459  0.0473  0.0460  0.04
Blet 2003   71  0.2467  0.0075  0.0282  0.0288  0.0285  0.02
Block 1995   16  0.4453  0.0020  0.1023  0.2943  0.1011  0.17
Blumental 1952   78  0.1954  0.0071  0.0467  0.0484  0.0276  0.03
Boshniakovich 1969   34  0.3755  0.0030  0.0532  0.1678  0.0337  0.07
Brailowsky 1960   6  0.5668  0.005  0.197  0.557  0.515  0.53
Bunin 1987   25  0.4069  0.0039  0.0438  0.1374  0.0344  0.06
Bunin 1987b   24  0.4056  0.0038  0.0535  0.1473  0.0340  0.06
Chiu 1999   72  0.2244  0.0052  0.0456  0.0460  0.0453  0.04
Cohen 1997   41  0.3629  0.0026  0.0822  0.2914  0.417  0.34
Cortot 1951   59  0.3013  0.0070  0.0374  0.0367  0.0479  0.03
Csalog 1996   77  0.1970  0.0089  0.0190  0.0183  0.0291  0.01
Czerny 1949   56  0.3120  0.0034  0.0544  0.0870  0.0347  0.05
Czerny 1990   65  0.2871  0.0077  0.0281  0.0286  0.0390  0.02
Duchoud 2007   68  0.2636  0.0081  0.0378  0.0385  0.0374  0.03
Ezaki 2006   14  0.457  0.0018  0.0914  0.4048  0.0613  0.15
Falvay 1989   18  0.4337  0.0013  0.0919  0.3662  0.0420  0.12
Farrell 1958   36  0.369  0.0059  0.0548  0.0581  0.0355  0.04
Ferenczy 1958   61  0.298  0.0072  0.0379  0.0363  0.0472  0.03
Fliere 1977   30  0.3930  0.0036  0.0631  0.1883  0.0335  0.07
Fou 1978   15  0.4438  0.0014  0.0810  0.4352  0.0612  0.16
Francois 1956   22  0.426  0.0023  0.1115  0.3860  0.0426  0.12
Friedman 1923   87  0.0972  0.0074  0.0371  0.0347  0.0749  0.05
Friedman 1923b   86  0.1073  0.0073  0.0280  0.0271  0.0477  0.03
Friedman 1930   81  0.1674  0.0056  0.0466  0.0480  0.0371  0.03
Garcia 2007   74  0.2024  0.0069  0.0376  0.0386  0.0288  0.02
Garcia 2007b   84  0.1439  0.0037  0.0543  0.0947  0.0538  0.07
Gierzod 1998   17  0.4457  0.0028  0.0625  0.2758  0.0523  0.12
Gornostaeva 1994   8  0.494  0.0015  0.0616  0.3853  0.0424  0.12
Groot 1988   11  0.4675  0.0012  0.149  0.4446  0.0514  0.15
Harasiewicz 1955   46  0.3358  0.0017  0.1018  0.3652  0.0425  0.12
Hatto 1993   76  0.1925  0.0078  0.0373  0.0378  0.0378  0.03
Hatto 1997   69  0.2521  0.0032  0.0440  0.1056  0.0443  0.06
Horowitz 1949   20  0.4376  0.0011  0.1013  0.4035  0.1610  0.25
Indjic 1988   75  0.1959  0.0079  0.0369  0.0380  0.0369  0.03
Kapell 1951   64  0.2845  0.0080  0.0372  0.0385  0.0282  0.02
Kissin 1993   32  0.3860  0.0043  0.0636  0.1478  0.0342  0.06
Kushner 1989   13  0.4577  0.0021  0.0924  0.2777  0.0329  0.09
Luisada 1991   37  0.3646  0.0054  0.0462  0.0471  0.0451  0.04
Lushtak 2004   63  0.2861  0.0033  0.0542  0.0977  0.0348  0.05
Malcuzynski 1961   9  0.4940  0.0016  0.0817  0.3871  0.0422  0.12
Magaloff 1978   5  0.5631  0.006  0.226  0.6032  0.206  0.35
Magin 1975   43  0.3578  0.0040  0.0437  0.1480  0.0339  0.06
Michalowski 1933   88  0.0679  0.0085  0.0375  0.0385  0.0368  0.03
Milkina 1970   12  0.4610  0.0010  0.1011  0.4335  0.218  0.30
Mohovich 1999   21  0.4280  0.0022  0.0721  0.3448  0.0616  0.14
Moravec 1969   28  0.4022  0.0048  0.0453  0.0460  0.0450  0.04
Morozova 2008   49  0.3381  0.0027  0.0727  0.2679  0.0331  0.09
Neighaus 1950   26  0.4062  0.0031  0.0528  0.2280  0.0334  0.08
Niedzielski 1931   60  0.3041  0.0063  0.0464  0.0471  0.0365  0.03
Ohlsson 1999   53  0.3247  0.0067  0.0550  0.0579  0.0357  0.04
Osinska 1989   54  0.3248  0.0065  0.0546  0.0571  0.0452  0.04
Pachmann 1927   66  0.2763  0.0046  0.0547  0.0555  0.0545  0.05
Paderewski 1930   48  0.3382  0.0066  0.0460  0.0481  0.0367  0.03
Perlemuter 1992   57  0.3117  0.0051  0.0455  0.0477  0.0362  0.03
Pierdomenico 2008   51  0.3383  0.0035  0.0430  0.1862  0.0433  0.08
Poblocka 1999   62  0.2984  0.0083  0.0283  0.0285  0.0381  0.02
Rabcewiczowa 1932   67  0.2618  0.0049  0.0461  0.0465  0.0454  0.04
Rachmaninoff 1923   27  0.4032  0.0019  0.1112  0.4056  0.0418  0.13
Rangell 2001   10  0.4712  0.009  0.1120  0.3547  0.0617  0.14
Richter 1976   58  0.3026  0.0062  0.0370  0.0375  0.0366  0.03
Rosen 1989   19  0.4333  0.0025  0.0726  0.2757  0.0427  0.10
Rosenthal 1930   4  0.605  0.004  0.254  0.754  0.724  0.73
Rosenthal 1931   2  0.862  0.002  0.902  0.972  0.972  0.97
Rosenthal 1931b   1  0.931  0.971  0.961  0.992  0.991  0.99
Rosenthal 1931c   3  0.763  0.003  0.843  0.933  0.913  0.92
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   83  0.1514  0.0068  0.0452  0.0472  0.0364  0.03
Rubinstein 1939   50  0.3334  0.0024  0.0734  0.159  0.469  0.26
Rubinstein 1952   29  0.3923  0.0042  0.0533  0.1645  0.1119  0.13
Rubinstein 1966   40  0.3664  0.0050  0.0549  0.0554  0.0646  0.05
Schilhawsky 1960   45  0.3449  0.0047  0.0451  0.0466  0.0370  0.03
Shebanova 2002   70  0.2565  0.0076  0.0284  0.0281  0.0387  0.02
Smith 1975   23  0.4119  0.008  0.208  0.5080  0.0321  0.12
Sokolov 2002   42  0.3666  0.0061  0.0465  0.0476  0.0363  0.03
Sztompka 1959   80  0.1727  0.0084  0.0285  0.0287  0.0283  0.02
Tomsic 1995   39  0.3685  0.0045  0.0445  0.0865  0.0441  0.06
Uninsky 1932   82  0.1586  0.0086  0.0286  0.0286  0.0286  0.02
Uninsky 1971   55  0.3111  0.0057  0.0458  0.0459  0.0458  0.04
Wasowski 1980   85  0.1487  0.0090  0.0289  0.0285  0.0380  0.02
Zak 1937   44  0.3588  0.0053  0.0457  0.0475  0.0456  0.04
Zak 1951   35  0.3789  0.0044  0.0539  0.1170  0.0436  0.07
Average   7  0.5428  0.007  0.225  0.6383  0.0315  0.14
Random 1   89  0.0490  0.0088  0.0287  0.025  0.5028  0.10
Random 2   90  0.0491  0.0087  0.0288  0.026  0.4332  0.09
Random 3   91  -0.0350  0.0091  0.0191  0.0165  0.0389  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).