Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.4339  0.0066  0.0747  0.0789  0.0259  0.04
Anderszewski 2003   31  0.4916  0.0028  0.0625  0.2655  0.0429  0.10
Ashkenazy 1981   59  0.4140  0.0059  0.0558  0.0585  0.0363  0.04
Bacha 2000   33  0.4948  0.0033  0.0631  0.2152  0.0622  0.11
Badura 1965   85  0.2212  0.0082  0.0289  0.0280  0.0389  0.02
Barbosa 1983   87  0.1752  0.0074  0.0287  0.0287  0.0386  0.02
Biret 1990   25  0.5144  0.0040  0.0638  0.1481  0.0441  0.07
Blet 2003   62  0.3917  0.0062  0.0554  0.0564  0.0458  0.04
Block 1995   38  0.4649  0.0036  0.0535  0.1672  0.0339  0.07
Blumental 1952   67  0.3420  0.0046  0.0474  0.0472  0.0380  0.03
Boshniakovich 1969   41  0.4538  0.0043  0.0444  0.1085  0.0262  0.04
Brailowsky 1960   8  0.6345  0.006  0.1910  0.5011  0.466  0.48
Bunin 1987   74  0.3236  0.0080  0.0472  0.0484  0.0381  0.03
Bunin 1987b   75  0.3157  0.0079  0.0380  0.0384  0.0370  0.03
Chiu 1999   78  0.2968  0.0047  0.0470  0.0488  0.0368  0.03
Cohen 1997   70  0.3326  0.0035  0.0532  0.1820  0.3012  0.23
Cortot 1951   63  0.3877  0.0081  0.0379  0.0381  0.0383  0.03
Csalog 1996   58  0.4286  0.0064  0.0556  0.0566  0.0457  0.04
Czerny 1949   61  0.3924  0.0069  0.0467  0.0481  0.0378  0.03
Czerny 1990   27  0.5134  0.0030  0.0524  0.2784  0.0331  0.09
Duchoud 2007   65  0.3746  0.0068  0.0465  0.0485  0.0379  0.03
Ezaki 2006   28  0.5015  0.0031  0.0529  0.2478  0.0333  0.08
Falvay 1989   16  0.5678  0.009  0.138  0.5227  0.377  0.44
Farrell 1958   32  0.4965  0.0032  0.0627  0.2555  0.0524  0.11
Ferenczy 1958   72  0.3341  0.0084  0.0285  0.0289  0.0287  0.02
Fliere 1977   13  0.5872  0.0023  0.0914  0.4552  0.0516  0.15
Fou 1978   23  0.539  0.0014  0.1311  0.4946  0.0714  0.19
Francois 1956   30  0.4937  0.0051  0.0466  0.0462  0.0465  0.04
Friedman 1923   88  0.1735  0.0088  0.0378  0.0376  0.0484  0.03
Friedman 1923b   86  0.1858  0.0087  0.0473  0.0480  0.0382  0.03
Friedman 1930   81  0.2827  0.0072  0.0471  0.0481  0.0376  0.03
Garcia 2007   54  0.4314  0.0058  0.0468  0.0469  0.0460  0.04
Garcia 2007b   69  0.3329  0.0045  0.0445  0.0865  0.0447  0.06
Gierzod 1998   20  0.5461  0.0038  0.0634  0.1788  0.0246  0.06
Gornostaeva 1994   6  0.6659  0.007  0.2015  0.4533  0.2610  0.34
Groot 1988   29  0.5053  0.0025  0.0626  0.2681  0.0332  0.09
Harasiewicz 1955   60  0.4187  0.0022  0.0722  0.3058  0.0428  0.11
Hatto 1993   84  0.2688  0.0076  0.0286  0.0287  0.0390  0.02
Hatto 1997   80  0.284  0.0075  0.0382  0.0388  0.0377  0.03
Horowitz 1949   50  0.4428  0.0057  0.0551  0.0569  0.0354  0.04
Indjic 1988   83  0.2789  0.0077  0.0475  0.0486  0.0374  0.03
Kapell 1951   35  0.4990  0.0054  0.0552  0.0587  0.0269  0.03
Kissin 1993   19  0.5454  0.0016  0.0917  0.4365  0.0420  0.13
Kushner 1989   11  0.5942  0.0021  0.0821  0.3170  0.0425  0.11
Luisada 1991   39  0.4631  0.0037  0.0541  0.1374  0.0342  0.06
Lushtak 2004   71  0.3369  0.0049  0.0559  0.0580  0.0361  0.04
Malcuzynski 1961   10  0.605  0.0018  0.0819  0.3455  0.0421  0.12
Magaloff 1978   5  0.6918  0.005  0.345  0.6612  0.445  0.54
Magin 1975   17  0.5660  0.0015  0.0818  0.4258  0.0419  0.13
Michalowski 1933   82  0.2711  0.0073  0.0381  0.0386  0.0373  0.03
Milkina 1970   7  0.6521  0.008  0.249  0.5140  0.1311  0.26
Mohovich 1999   18  0.5579  0.0026  0.0823  0.3072  0.0426  0.11
Moravec 1969   15  0.5722  0.0012  0.1113  0.4618  0.398  0.42
Morozova 2008   64  0.3850  0.0056  0.0553  0.0589  0.0275  0.03
Neighaus 1950   43  0.4566  0.0060  0.0563  0.0582  0.0364  0.04
Niedzielski 1931   36  0.4855  0.0041  0.0539  0.1464  0.0344  0.06
Ohlsson 1999   56  0.4380  0.0067  0.0555  0.0587  0.0356  0.04
Osinska 1989   26  0.5147  0.0044  0.0443  0.1186  0.0343  0.06
Pachmann 1927   45  0.4562  0.0048  0.0557  0.0534  0.1435  0.08
Paderewski 1930   37  0.4781  0.0061  0.0561  0.0560  0.0455  0.04
Perlemuter 1992   48  0.4432  0.0039  0.0640  0.1360  0.0436  0.07
Pierdomenico 2008   53  0.4382  0.0042  0.0442  0.1161  0.0437  0.07
Poblocka 1999   47  0.4463  0.0070  0.0464  0.0487  0.0267  0.03
Rabcewiczowa 1932   51  0.4451  0.0027  0.0633  0.1858  0.0434  0.08
Rachmaninoff 1923   22  0.538  0.0017  0.0916  0.4349  0.0517  0.15
Rangell 2001   21  0.5456  0.0019  0.0728  0.2446  0.0527  0.11
Richter 1976   68  0.3474  0.0071  0.0469  0.0469  0.0371  0.03
Rosen 1989   14  0.5710  0.0020  0.0920  0.3278  0.0330  0.10
Rosenthal 1930   4  0.766  0.004  0.414  0.824  0.814  0.81
Rosenthal 1931   2  0.952  0.062  0.912  0.972  0.972  0.97
Rosenthal 1931b   1  0.971  0.911  0.901  0.982  0.991  0.98
Rosenthal 1931c   3  0.863  0.013  0.853  0.942  0.933  0.93
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   73  0.3367  0.0024  0.0730  0.2147  0.0623  0.11
Rubinstein 1939   49  0.4423  0.0034  0.0537  0.1527  0.3013  0.21
Rubinstein 1952   24  0.5175  0.0011  0.107  0.5331  0.309  0.40
Rubinstein 1966   44  0.4525  0.0053  0.0746  0.0784  0.0348  0.05
Schilhawsky 1960   52  0.447  0.0029  0.0836  0.1678  0.0338  0.07
Shebanova 2002   40  0.4664  0.0065  0.0649  0.0658  0.0549  0.05
Smith 1975   12  0.5819  0.0013  0.1212  0.4955  0.0515  0.16
Sokolov 2002   34  0.4943  0.0055  0.0648  0.0674  0.0350  0.04
Sztompka 1959   66  0.3583  0.0078  0.0377  0.0387  0.0372  0.03
Tomsic 1995   55  0.4376  0.0063  0.0562  0.0576  0.0353  0.04
Uninsky 1932   79  0.2973  0.0085  0.0284  0.0280  0.0388  0.02
Uninsky 1971   76  0.3130  0.0086  0.0376  0.0387  0.0285  0.02
Wasowski 1980   77  0.3084  0.0083  0.0283  0.0285  0.0466  0.03
Zak 1937   42  0.4570  0.0052  0.0560  0.0581  0.0351  0.04
Zak 1951   46  0.4413  0.0050  0.0650  0.0687  0.0352  0.04
Average   9  0.6271  0.0010  0.106  0.6383  0.0318  0.14
Random 1   90  -0.1033  0.0090  0.0290  0.0230  0.2840  0.07
Random 2   89  -0.0785  0.0089  0.0288  0.0223  0.2145  0.06
Random 3   91  -0.1091  0.0091  0.0191  0.0176  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).