Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.5062  0.0033  0.0724  0.3765  0.0439  0.12
Anderszewski 2003   13  0.6016  0.0125  0.0912  0.4516  0.3615  0.40
Ashkenazy 1981   10  0.615  0.077  0.153  0.5523  0.387  0.46
Bacha 2000   78  0.2945  0.0067  0.0565  0.0571  0.0464  0.04
Badura 1965   34  0.5285  0.0049  0.0657  0.0646  0.0651  0.06
Barbosa 1983   82  0.2577  0.0064  0.0377  0.0379  0.0379  0.03
Biret 1990   44  0.4767  0.0041  0.0539  0.1857  0.0543  0.09
Blet 2003   42  0.4729  0.0037  0.1137  0.2745  0.0933  0.16
Block 1995   66  0.3748  0.0056  0.0562  0.0559  0.0471  0.04
Blumental 1952   43  0.4715  0.0114  0.0831  0.3010  0.3524  0.32
Boshniakovich 1969   21  0.5626  0.0044  0.0941  0.1737  0.1732  0.17
Brailowsky 1960   69  0.3521  0.0176  0.0473  0.0487  0.0373  0.03
Bunin 1987   40  0.4986  0.0032  0.0723  0.3812  0.4713  0.42
Bunin 1987b   41  0.4925  0.0031  0.0722  0.3912  0.4811  0.43
Chiu 1999   73  0.3435  0.0066  0.0471  0.0481  0.0375  0.03
Cohen 1997   86  0.1819  0.0183  0.0383  0.0360  0.0483  0.03
Cortot 1951   18  0.5868  0.0023  0.0817  0.4117  0.3916  0.40
Csalog 1996   85  0.2038  0.0084  0.0475  0.0477  0.0380  0.03
Czerny 1949   7  0.622  0.163  0.222  0.6310  0.512  0.57
Czerny 1990   19  0.5828  0.0030  0.0921  0.3954  0.0537  0.14
Duchoud 2007   26  0.5413  0.0118  0.0716  0.427  0.4212  0.42
Ezaki 2006   35  0.5171  0.0048  0.0753  0.0774  0.0353  0.05
Falvay 1989   83  0.2256  0.0085  0.0382  0.0379  0.0476  0.03
Farrell 1958   67  0.3637  0.0068  0.0661  0.0677  0.0367  0.04
Ferenczy 1958   30  0.5334  0.0011  0.0915  0.4211  0.4014  0.41
Fliere 1977   25  0.5579  0.0045  0.0745  0.1375  0.0347  0.06
Fou 1978   74  0.3251  0.0071  0.0468  0.0470  0.0468  0.04
Francois 1956   46  0.4636  0.0050  0.0754  0.0764  0.0463  0.05
Friedman 1923   45  0.4780  0.0036  0.0932  0.298  0.5320  0.39
Friedman 1923b   48  0.4641  0.0034  0.0733  0.299  0.5219  0.39
Friedman 1930   8  0.6139  0.0027  0.0620  0.408  0.508  0.45
Garcia 2007   37  0.5064  0.0035  0.0736  0.2823  0.3426  0.31
Garcia 2007b   23  0.5547  0.0024  0.1025  0.366  0.4417  0.40
Gierzod 1998   15  0.5990  0.0013  0.0913  0.4431  0.2822  0.35
Gornostaeva 1994   31  0.5358  0.0046  0.0848  0.0853  0.0552  0.06
Groot 1988   75  0.3265  0.0062  0.0378  0.0378  0.0386  0.03
Harasiewicz 1955   24  0.5530  0.0028  0.0727  0.3243  0.1031  0.18
Hatto 1993   51  0.4463  0.0026  0.0735  0.2836  0.1630  0.21
Hatto 1997   52  0.4354  0.0012  0.1030  0.3026  0.2327  0.26
Horowitz 1949   53  0.4357  0.0061  0.0474  0.0443  0.1050  0.06
Indjic 1988   55  0.4361  0.0019  0.0738  0.2730  0.2029  0.23
Kapell 1951   5  0.6242  0.006  0.2011  0.4813  0.4110  0.44
Kissin 1993   58  0.4188  0.0070  0.0750  0.0784  0.0360  0.05
Kushner 1989   27  0.5410  0.0216  0.0726  0.3348  0.0636  0.14
Luisada 1991   49  0.4618  0.0151  0.0749  0.0760  0.0454  0.05
Lushtak 2004   57  0.4273  0.0052  0.0751  0.0787  0.0270  0.04
Malcuzynski 1961   33  0.529  0.0338  0.0740  0.1737  0.1334  0.15
Magaloff 1978   63  0.3940  0.0074  0.0658  0.0683  0.0366  0.04
Magin 1975   22  0.568  0.0315  0.0828  0.3131  0.1928  0.24
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   61  0.4074  0.0072  0.0659  0.0656  0.0558  0.05
Mohovich 1999   56  0.4284  0.0060  0.0469  0.0473  0.0382  0.03
Moravec 1969   72  0.3417  0.0169  0.0563  0.0555  0.0465  0.04
Morozova 2008   36  0.506  0.0439  0.0643  0.1668  0.0444  0.08
Neighaus 1950   17  0.5911  0.0110  0.116  0.5234  0.2025  0.32
Niedzielski 1931   59  0.4143  0.0055  0.0752  0.0786  0.0357  0.05
Ohlsson 1999   16  0.5952  0.0021  0.0918  0.4129  0.2623  0.33
Osinska 1989   32  0.5275  0.0053  0.0946  0.0971  0.0448  0.06
Pachmann 1927   80  0.2953  0.0082  0.0380  0.0386  0.0288  0.02
Paderewski 1930   11  0.6050  0.0022  0.0719  0.4010  0.3918  0.39
Perlemuter 1992   50  0.4589  0.0047  0.0656  0.0657  0.0455  0.05
Pierdomenico 2008   65  0.3744  0.0075  0.0660  0.0666  0.0456  0.05
Poblocka 1999   9  0.613  0.124  0.169  0.4812  0.445  0.46
Rabcewiczowa 1932   4  0.6312  0.0117  0.0710  0.4817  0.419  0.44
Rachmaninoff 1923   54  0.4331  0.0054  0.0947  0.0968  0.0449  0.06
Rangell 2001   64  0.387  0.0359  0.0470  0.0474  0.0384  0.03
Richter 1976   60  0.4032  0.0057  0.0655  0.0654  0.0559  0.05
Rosen 1989   29  0.5382  0.0043  0.0642  0.1670  0.0346  0.07
Rosenthal 1930   47  0.4633  0.0058  0.0566  0.0547  0.0561  0.05
Rosenthal 1931   77  0.3076  0.0078  0.0379  0.0385  0.0289  0.02
Rosenthal 1931b   76  0.3059  0.0077  0.0381  0.0386  0.0290  0.02
Rosenthal 1931c   62  0.4020  0.0173  0.0567  0.0562  0.0472  0.04
Rosenthal 1931d   81  0.2755  0.0080  0.0386  0.0381  0.0385  0.03
Rossi 2007   71  0.3423  0.0179  0.0384  0.0378  0.0374  0.03
Rubinstein 1939   88  0.0991  0.0089  0.0288  0.0283  0.0387  0.02
Rubinstein 1952   87  0.1049  0.0088  0.0289  0.0285  0.0391  0.02
Rubinstein 1966   84  0.2146  0.0086  0.0376  0.0387  0.0381  0.03
Schilhawsky 1960   12  0.6014  0.018  0.127  0.5023  0.426  0.46
Shebanova 2002   28  0.5370  0.0040  0.0734  0.2859  0.0538  0.12
Smith 1975   14  0.5922  0.0129  0.0829  0.3072  0.0440  0.11
Sokolov 2002   20  0.5624  0.0120  0.0614  0.4229  0.3521  0.38
Sztompka 1959   1  0.711  0.201  0.201  0.636  0.561  0.59
Tomsic 1995   79  0.2966  0.0081  0.0385  0.0356  0.0478  0.03
Uninsky 1932   2  0.6527  0.005  0.198  0.496  0.574  0.53
Uninsky 1971   3  0.644  0.092  0.225  0.537  0.533  0.53
Wasowski 1980   39  0.4972  0.0042  0.0644  0.1560  0.0542  0.09
Zak 1937   70  0.3587  0.0065  0.0472  0.0486  0.0377  0.03
Zak 1951   68  0.3681  0.0063  0.0564  0.0588  0.0369  0.04
Average   6  0.6269  0.009  0.144  0.5374  0.0435  0.15
Random 1   91  -0.1478  0.0091  0.0191  0.0137  0.2362  0.05
Random 2   90  0.0083  0.0090  0.0290  0.0214  0.3045  0.08
Random 3   89  0.0660  0.0087  0.0287  0.025  0.5241  0.10

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).