Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.5062  0.0032  0.0823  0.3764  0.0438  0.12
Anderszewski 2003   12  0.6016  0.0124  0.0911  0.4515  0.3615  0.40
Ashkenazy 1981   9  0.615  0.077  0.193  0.5522  0.387  0.46
Bacha 2000   77  0.2945  0.0066  0.0564  0.0570  0.0464  0.04
Badura 1965   33  0.5284  0.0048  0.0656  0.0645  0.0650  0.06
Barbosa 1983   81  0.2576  0.0063  0.0376  0.0378  0.0378  0.03
Biret 1990   43  0.4767  0.0040  0.0538  0.1856  0.0542  0.09
Blet 2003   41  0.4729  0.0036  0.1136  0.2744  0.0933  0.16
Block 1995   65  0.3748  0.0055  0.0561  0.0558  0.0471  0.04
Blumental 1952   42  0.4715  0.0113  0.0830  0.309  0.3524  0.32
Boshniakovich 1969   20  0.5626  0.0043  0.0940  0.1736  0.1732  0.17
Brailowsky 1960   68  0.3521  0.0175  0.0472  0.0486  0.0373  0.03
Bunin 1987   39  0.4985  0.0031  0.0822  0.3811  0.4713  0.42
Bunin 1987b   40  0.4925  0.0030  0.0721  0.3911  0.4811  0.43
Chiu 1999   72  0.3435  0.0065  0.0470  0.0480  0.0375  0.03
Cohen 1997   85  0.1819  0.0182  0.0382  0.0359  0.0482  0.03
Cortot 1951   17  0.5868  0.0022  0.0816  0.4116  0.3916  0.40
Csalog 1996   84  0.2038  0.0083  0.0474  0.0476  0.0379  0.03
Czerny 1949   6  0.622  0.163  0.222  0.639  0.512  0.57
Czerny 1990   18  0.5828  0.0029  0.0920  0.3953  0.0536  0.14
Duchoud 2007   25  0.5413  0.0117  0.0715  0.426  0.4212  0.42
Ezaki 2006   34  0.5170  0.0047  0.0752  0.0773  0.0352  0.05
Falvay 1989   82  0.2256  0.0084  0.0381  0.0378  0.0476  0.03
Farrell 1958   66  0.3637  0.0067  0.0660  0.0676  0.0457  0.05
Ferenczy 1958   29  0.5334  0.0010  0.0914  0.4210  0.4014  0.41
Fliere 1977   24  0.5578  0.0044  0.0744  0.1374  0.0346  0.06
Fou 1978   73  0.3251  0.0070  0.0467  0.0469  0.0467  0.04
Francois 1956   45  0.4636  0.0049  0.0753  0.0763  0.0463  0.05
Friedman 1923   44  0.4779  0.0035  0.0931  0.298  0.5320  0.39
Friedman 1923b   47  0.4641  0.0033  0.0732  0.299  0.5219  0.39
Friedman 1930   7  0.6139  0.0026  0.0619  0.407  0.508  0.45
Garcia 2007   36  0.5064  0.0034  0.0735  0.2822  0.3426  0.31
Garcia 2007b   22  0.5547  0.0023  0.1124  0.365  0.4417  0.40
Gierzod 1998   14  0.5989  0.0012  0.0912  0.4430  0.2822  0.35
Gornostaeva 1994   30  0.5358  0.0045  0.0847  0.0852  0.0551  0.06
Groot 1988   74  0.3265  0.0061  0.0377  0.0377  0.0385  0.03
Harasiewicz 1955   23  0.5530  0.0027  0.0726  0.3242  0.1031  0.18
Hatto 1993   50  0.4463  0.0025  0.0734  0.2835  0.1630  0.21
Hatto 1997   51  0.4354  0.0011  0.1029  0.3025  0.2327  0.26
Horowitz 1949   52  0.4357  0.0060  0.0473  0.0442  0.1049  0.06
Indjic 1988   54  0.4361  0.0018  0.0737  0.2729  0.2029  0.23
Kapell 1951   5  0.6242  0.006  0.2110  0.4812  0.4110  0.44
Kissin 1993   57  0.4187  0.0069  0.0749  0.0783  0.0360  0.05
Kushner 1989   26  0.5410  0.0215  0.0725  0.3347  0.0635  0.14
Luisada 1991   48  0.4618  0.0150  0.0748  0.0759  0.0453  0.05
Lushtak 2004   56  0.4272  0.0051  0.0750  0.0786  0.0270  0.04
Malcuzynski 1961   32  0.529  0.0337  0.0739  0.1736  0.1334  0.15
Magaloff 1978   62  0.3940  0.0073  0.0657  0.0682  0.0366  0.04
Magin 1975   21  0.568  0.0314  0.0827  0.3130  0.1928  0.24
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   60  0.4073  0.0071  0.0658  0.0655  0.0558  0.05
Mohovich 1999   55  0.4283  0.0059  0.0468  0.0472  0.0381  0.03
Moravec 1969   71  0.3417  0.0168  0.0562  0.0554  0.0465  0.04
Morozova 2008   35  0.506  0.0438  0.0642  0.1667  0.0443  0.08
Neighaus 1950   16  0.5911  0.019  0.115  0.5233  0.2025  0.32
Niedzielski 1931   58  0.4143  0.0054  0.0751  0.0785  0.0356  0.05
Ohlsson 1999   15  0.5952  0.0020  0.0917  0.4128  0.2623  0.33
Osinska 1989   31  0.5274  0.0052  0.0945  0.0970  0.0447  0.06
Pachmann 1927   79  0.2953  0.0081  0.0379  0.0385  0.0287  0.02
Paderewski 1930   10  0.6050  0.0021  0.0718  0.409  0.3918  0.39
Perlemuter 1992   49  0.4588  0.0046  0.0655  0.0656  0.0454  0.05
Pierdomenico 2008   64  0.3744  0.0074  0.0659  0.0665  0.0455  0.05
Poblocka 1999   8  0.613  0.124  0.168  0.4811  0.445  0.46
Rabcewiczowa 1932   4  0.6312  0.0116  0.079  0.4816  0.419  0.44
Rachmaninoff 1923   53  0.4331  0.0053  0.0946  0.0967  0.0448  0.06
Rangell 2001   63  0.387  0.0358  0.0469  0.0473  0.0383  0.03
Richter 1976   59  0.4032  0.0056  0.0654  0.0653  0.0559  0.05
Rosen 1989   28  0.5381  0.0042  0.0641  0.1669  0.0445  0.08
Rosenthal 1930   46  0.4633  0.0057  0.0565  0.0546  0.0561  0.05
Rosenthal 1931   76  0.3075  0.0077  0.0378  0.0384  0.0288  0.02
Rosenthal 1931b   75  0.3059  0.0076  0.0380  0.0385  0.0289  0.02
Rosenthal 1931c   61  0.4020  0.0172  0.0566  0.0561  0.0472  0.04
Rosenthal 1931d   80  0.2755  0.0079  0.0385  0.0380  0.0384  0.03
Rossi 2007   70  0.3423  0.0178  0.0383  0.0377  0.0474  0.03
Rubinstein 1939   87  0.0990  0.0088  0.0287  0.0282  0.0386  0.02
Rubinstein 1952   86  0.1049  0.0087  0.0288  0.0284  0.0390  0.02
Rubinstein 1966   83  0.2146  0.0085  0.0375  0.0386  0.0380  0.03
Schilhawsky 1960   11  0.6014  0.018  0.156  0.5022  0.426  0.46
Shebanova 2002   27  0.5369  0.0039  0.0733  0.2858  0.0537  0.12
Smith 1975   13  0.5922  0.0128  0.0828  0.3071  0.0440  0.11
Sokolov 2002   19  0.5624  0.0119  0.0613  0.4228  0.3521  0.38
Sztompka 1959   1  0.711  0.201  0.201  0.635  0.561  0.59
Tomsic 1995   78  0.2966  0.0080  0.0384  0.0355  0.0569  0.04
Uninsky 1932   2  0.6527  0.005  0.197  0.495  0.574  0.53
Uninsky 1971   3  0.644  0.092  0.224  0.536  0.533  0.53
Wasowski 1980   38  0.4971  0.0041  0.0643  0.1559  0.0541  0.09
Zak 1937   69  0.3586  0.0064  0.0471  0.0485  0.0377  0.03
Zak 1951   67  0.3680  0.0062  0.0563  0.0587  0.0368  0.04
Random 1   90  -0.1477  0.0090  0.0190  0.0137  0.2162  0.05
Random 2   89  0.0082  0.0089  0.0289  0.0214  0.2944  0.08
Random 3   88  0.0660  0.0086  0.0386  0.035  0.5239  0.12

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).