Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.606  0.056  0.352  0.6634  0.276  0.42
Anderszewski 2003   47  0.4389  0.0058  0.0465  0.0483  0.0379  0.03
Ashkenazy 1981   28  0.489  0.029  0.159  0.5541  0.1512  0.29
Bacha 2000   74  0.3369  0.0068  0.0375  0.0378  0.0371  0.03
Badura 1965   26  0.4934  0.0026  0.0621  0.3840  0.2113  0.28
Barbosa 1983   86  0.1885  0.0085  0.0384  0.0388  0.0287  0.02
Biret 1990   48  0.4312  0.0140  0.0736  0.2283  0.0349  0.08
Blet 2003   30  0.4713  0.0141  0.0838  0.2152  0.0633  0.11
Block 1995   77  0.3186  0.0066  0.0373  0.0383  0.0382  0.03
Blumental 1952   52  0.4175  0.0038  0.0744  0.1257  0.0548  0.08
Boshniakovich 1969   2  0.6110  0.027  0.206  0.5937  0.218  0.35
Brailowsky 1960   71  0.3482  0.0079  0.0378  0.0379  0.0473  0.03
Bunin 1987   62  0.3945  0.0024  0.0831  0.2627  0.3711  0.31
Bunin 1987b   63  0.3977  0.0025  0.0733  0.2526  0.3810  0.31
Chiu 1999   76  0.3147  0.0065  0.0374  0.0387  0.0375  0.03
Cohen 1997   87  0.1730  0.0086  0.0383  0.0387  0.0290  0.02
Cortot 1951   64  0.3871  0.0063  0.0466  0.0477  0.0384  0.03
Csalog 1996   80  0.2887  0.0072  0.0376  0.0387  0.0288  0.02
Czerny 1949   9  0.5311  0.013  0.178  0.5638  0.277  0.39
Czerny 1990   36  0.4588  0.0051  0.0750  0.0780  0.0363  0.05
Duchoud 2007   66  0.3644  0.0052  0.0945  0.0942  0.1435  0.11
Ezaki 2006   50  0.4231  0.0055  0.0653  0.0687  0.0364  0.04
Falvay 1989   82  0.2748  0.0083  0.0387  0.0387  0.0286  0.02
Farrell 1958   72  0.3479  0.0070  0.0381  0.0384  0.0377  0.03
Ferenczy 1958   65  0.3783  0.0057  0.0467  0.0467  0.0381  0.03
Fliere 1977   8  0.5526  0.0013  0.0813  0.4765  0.0425  0.14
Fou 1978   34  0.4667  0.0045  0.0751  0.0771  0.0460  0.05
Francois 1956   29  0.4714  0.0142  0.0839  0.2043  0.1224  0.15
Friedman 1923   42  0.4433  0.0050  0.0849  0.0868  0.0554  0.06
Friedman 1923b   31  0.4735  0.0044  0.0943  0.1856  0.0641  0.10
Friedman 1930   25  0.5059  0.0036  0.0726  0.2841  0.2215  0.25
Garcia 2007   61  0.3942  0.0061  0.0555  0.0556  0.0562  0.05
Garcia 2007b   44  0.4465  0.0035  0.0640  0.2062  0.0445  0.09
Gierzod 1998   17  0.5139  0.0020  0.1116  0.4573  0.0429  0.13
Gornostaeva 1994   11  0.5349  0.0032  0.0625  0.3047  0.0530  0.12
Groot 1988   78  0.3164  0.0078  0.0461  0.0480  0.0470  0.04
Harasiewicz 1955   12  0.5254  0.0019  0.0918  0.4383  0.0338  0.11
Hatto 1993   60  0.3972  0.0023  0.0835  0.2377  0.0351  0.08
Hatto 1997   56  0.4073  0.0022  0.0834  0.2376  0.0440  0.10
Horowitz 1949   43  0.4460  0.0046  0.0847  0.0844  0.1531  0.11
Indjic 1988   53  0.4184  0.0014  0.0829  0.2777  0.0343  0.09
Kapell 1951   38  0.4563  0.0027  0.0830  0.2765  0.0439  0.10
Kissin 1993   23  0.5022  0.0018  0.0914  0.4756  0.0523  0.15
Kushner 1989   13  0.524  0.0710  0.1219  0.4162  0.0526  0.14
Luisada 1991   51  0.4253  0.0049  0.0752  0.0781  0.0355  0.05
Lushtak 2004   75  0.3280  0.0077  0.0468  0.0469  0.0468  0.04
Malcuzynski 1961   14  0.527  0.0428  0.0628  0.2836  0.1519  0.20
Magaloff 1978   69  0.3552  0.0076  0.0559  0.0581  0.0367  0.04
Magin 1975   1  0.631  0.241  0.241  0.7325  0.363  0.51
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   18  0.5157  0.0037  0.0737  0.2176  0.0442  0.09
Mohovich 1999   73  0.3368  0.0073  0.0470  0.0486  0.0383  0.03
Moravec 1969   67  0.3523  0.0071  0.0377  0.0382  0.0372  0.03
Morozova 2008   32  0.4651  0.0039  0.0641  0.1875  0.0447  0.08
Neighaus 1950   10  0.5324  0.0015  0.0715  0.4644  0.0820  0.19
Niedzielski 1931   37  0.4543  0.0047  0.0846  0.0877  0.0359  0.05
Ohlsson 1999   19  0.5127  0.0012  0.0710  0.4849  0.0621  0.17
Osinska 1989   40  0.4576  0.0056  0.0557  0.0572  0.0466  0.04
Pachmann 1927   33  0.4616  0.0059  0.0462  0.0429  0.2932  0.11
Paderewski 1930   15  0.518  0.0231  0.0627  0.2824  0.369  0.32
Perlemuter 1992   55  0.4140  0.0054  0.0560  0.0581  0.0365  0.04
Pierdomenico 2008   70  0.3546  0.0064  0.0469  0.0454  0.0658  0.05
Poblocka 1999   22  0.5070  0.0016  0.0617  0.4443  0.1414  0.25
Rabcewiczowa 1932   21  0.5136  0.0034  0.0822  0.3642  0.1118  0.20
Rachmaninoff 1923   35  0.4617  0.0043  0.0742  0.1872  0.0446  0.08
Rangell 2001   68  0.3528  0.0062  0.0463  0.0463  0.0469  0.04
Richter 1976   24  0.5050  0.0011  0.0911  0.4822  0.495  0.48
Rosen 1989   16  0.5120  0.0033  0.0732  0.2671  0.0537  0.11
Rosenthal 1930   46  0.4425  0.0060  0.0654  0.0639  0.1936  0.11
Rosenthal 1931   58  0.4062  0.0074  0.0471  0.0447  0.0661  0.05
Rosenthal 1931b   57  0.4019  0.0067  0.0372  0.0342  0.1252  0.06
Rosenthal 1931c   54  0.4141  0.0069  0.0379  0.0343  0.1153  0.06
Rosenthal 1931d   59  0.4037  0.0075  0.0556  0.0542  0.1450  0.08
Rossi 2007   79  0.3032  0.0082  0.0386  0.0369  0.0474  0.03
Rubinstein 1939   83  0.2638  0.0080  0.0380  0.0385  0.0376  0.03
Rubinstein 1952   84  0.2558  0.0081  0.0464  0.0474  0.0385  0.03
Rubinstein 1966   81  0.2781  0.0084  0.0382  0.0381  0.0480  0.03
Schilhawsky 1960   4  0.592  0.232  0.253  0.6219  0.511  0.56
Shebanova 2002   20  0.5190  0.0017  0.0812  0.4869  0.0427  0.14
Smith 1975   27  0.4821  0.0048  0.0848  0.0887  0.0357  0.05
Sokolov 2002   39  0.4566  0.0021  0.1020  0.3840  0.1216  0.21
Sztompka 1959   5  0.5915  0.008  0.264  0.6148  0.0717  0.21
Tomsic 1995   85  0.2378  0.0087  0.0385  0.0385  0.0378  0.03
Uninsky 1932   6  0.583  0.104  0.195  0.6013  0.512  0.55
Uninsky 1971   7  0.575  0.075  0.267  0.5926  0.444  0.51
Wasowski 1980   49  0.4274  0.0053  0.0558  0.0561  0.0556  0.05
Zak 1937   41  0.4455  0.0029  0.0623  0.3453  0.0722  0.15
Zak 1951   45  0.4429  0.0030  0.0824  0.3468  0.0528  0.13
Random 1   90  -0.0818  0.0089  0.0289  0.0215  0.4044  0.09
Random 2   88  0.0161  0.0088  0.0288  0.021  0.5934  0.11
Random 3   89  -0.0456  0.0090  0.0190  0.0152  0.0489  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).