Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.2786  0.0041  0.0742  0.1365  0.0448  0.07
Anderszewski 2003   4  0.607  0.0310  0.135  0.472  0.571  0.52
Ashkenazy 1981   3  0.613  0.093  0.173  0.4916  0.3813  0.43
Bacha 2000   79  0.1141  0.0068  0.0471  0.0466  0.0457  0.04
Badura 1965   34  0.3989  0.0057  0.0560  0.0564  0.0464  0.04
Barbosa 1983   58  0.3060  0.0038  0.0639  0.1648  0.0541  0.09
Biret 1990   28  0.4375  0.0022  0.1022  0.3937  0.1632  0.25
Blet 2003   43  0.3671  0.0023  0.0823  0.3728  0.2130  0.28
Block 1995   61  0.2924  0.0151  0.0552  0.0533  0.1842  0.09
Blumental 1952   22  0.4521  0.0116  0.1319  0.423  0.4412  0.43
Boshniakovich 1969   45  0.3539  0.0066  0.0466  0.0468  0.0380  0.03
Brailowsky 1960   72  0.1929  0.0073  0.0555  0.0578  0.0459  0.04
Bunin 1987   30  0.4366  0.0032  0.0924  0.3734  0.2329  0.29
Bunin 1987b   29  0.4358  0.0033  0.1025  0.3734  0.2328  0.29
Chiu 1999   62  0.2750  0.0064  0.0559  0.0574  0.0360  0.04
Cohen 1997   73  0.1911  0.0270  0.0470  0.0453  0.0467  0.04
Cortot 1951   7  0.5744  0.009  0.1310  0.458  0.505  0.47
Csalog 1996   86  -0.0140  0.0086  0.0286  0.0283  0.0287  0.02
Czerny 1949   15  0.5356  0.0013  0.116  0.4719  0.3815  0.42
Czerny 1990   9  0.5417  0.0114  0.114  0.4820  0.2822  0.37
Duchoud 2007   14  0.5332  0.0011  0.1317  0.4219  0.4216  0.42
Ezaki 2006   20  0.4778  0.0035  0.0834  0.2856  0.0438  0.11
Falvay 1989   77  0.1430  0.0075  0.0377  0.0380  0.0371  0.03
Farrell 1958   54  0.3283  0.0048  0.0746  0.0749  0.0553  0.06
Ferenczy 1958   21  0.466  0.045  0.0915  0.4312  0.4410  0.43
Fliere 1977   35  0.3916  0.0154  0.0561  0.0578  0.0358  0.04
Fou 1978   85  0.0369  0.0083  0.0285  0.0285  0.0284  0.02
Francois 1956   56  0.3181  0.0046  0.0556  0.0576  0.0369  0.04
Friedman 1923   50  0.3372  0.0029  0.0631  0.297  0.4823  0.37
Friedman 1923b   51  0.3354  0.0028  0.0630  0.307  0.4821  0.38
Friedman 1930   6  0.5928  0.0119  0.0820  0.419  0.4414  0.42
Garcia 2007   40  0.3762  0.0027  0.0633  0.292  0.5320  0.39
Garcia 2007b   27  0.4343  0.0026  0.0729  0.303  0.5517  0.41
Gierzod 1998   17  0.4945  0.0018  0.1213  0.449  0.3618  0.40
Gornostaeva 1994   42  0.3652  0.0052  0.0465  0.0459  0.0468  0.04
Groot 1988   67  0.2431  0.0060  0.0464  0.0481  0.0382  0.03
Harasiewicz 1955   26  0.4342  0.0043  0.0643  0.1162  0.0450  0.07
Hatto 1993   47  0.3455  0.0031  0.0928  0.3112  0.3726  0.34
Hatto 1997   53  0.3267  0.0024  0.0926  0.3418  0.3724  0.35
Horowitz 1949   69  0.2149  0.0077  0.0374  0.0376  0.0376  0.03
Indjic 1988   57  0.3176  0.0030  0.0636  0.2716  0.3727  0.32
Kapell 1951   8  0.565  0.052  0.167  0.469  0.514  0.48
Kissin 1993   74  0.1868  0.0079  0.0380  0.0368  0.0477  0.03
Kushner 1989   31  0.418  0.0325  0.0735  0.2732  0.2331  0.25
Luisada 1991   33  0.4038  0.0037  0.0737  0.2238  0.1534  0.18
Lushtak 2004   32  0.4084  0.0034  0.1127  0.3253  0.0440  0.11
Malcuzynski 1961   37  0.3870  0.0050  0.0747  0.0744  0.0944  0.08
Magaloff 1978   46  0.3410  0.0259  0.0462  0.0474  0.0370  0.03
Magin 1975   39  0.3715  0.0155  0.0468  0.0443  0.0952  0.06
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   75  0.1618  0.0178  0.0381  0.0380  0.0374  0.03
Mohovich 1999   60  0.2926  0.0161  0.0551  0.0566  0.0366  0.04
Moravec 1969   66  0.2613  0.0147  0.0745  0.0767  0.0455  0.05
Morozova 2008   25  0.4414  0.0142  0.0541  0.1451  0.0545  0.08
Neighaus 1950   24  0.4447  0.0036  0.0732  0.2954  0.0537  0.12
Niedzielski 1931   68  0.2364  0.0065  0.0649  0.0644  0.0847  0.07
Ohlsson 1999   18  0.4977  0.0021  0.0921  0.4040  0.1333  0.23
Osinska 1989   23  0.4436  0.0044  0.0544  0.0948  0.0546  0.07
Pachmann 1927   88  -0.0359  0.0085  0.0284  0.0277  0.0385  0.02
Paderewski 1930   13  0.5322  0.0120  0.1014  0.447  0.429  0.43
Perlemuter 1992   49  0.344  0.0539  0.0738  0.2134  0.1535  0.18
Pierdomenico 2008   48  0.3451  0.0071  0.0376  0.0373  0.0372  0.03
Poblocka 1999   19  0.4919  0.016  0.088  0.4613  0.447  0.45
Rabcewiczowa 1932   1  0.659  0.027  0.0811  0.453  0.523  0.48
Rachmaninoff 1923   55  0.3133  0.0049  0.0748  0.0763  0.0456  0.05
Rangell 2001   64  0.2612  0.0172  0.0553  0.0583  0.0281  0.03
Richter 1976   70  0.2125  0.0169  0.0558  0.0575  0.0362  0.04
Rosen 1989   38  0.3834  0.0045  0.0554  0.0547  0.0465  0.04
Rosenthal 1930   44  0.3587  0.0056  0.0557  0.0544  0.0949  0.07
Rosenthal 1931   82  0.0888  0.0081  0.0379  0.0375  0.0286  0.02
Rosenthal 1931b   81  0.0990  0.0080  0.0382  0.0371  0.0383  0.03
Rosenthal 1931c   59  0.2974  0.0062  0.0469  0.0440  0.1251  0.07
Rosenthal 1931d   83  0.0580  0.0084  0.0375  0.0377  0.0288  0.02
Rossi 2007   41  0.3737  0.0053  0.0467  0.0429  0.1643  0.08
Rubinstein 1939   90  -0.0973  0.0090  0.0190  0.0186  0.0290  0.01
Rubinstein 1952   87  -0.0261  0.0089  0.0189  0.0177  0.0389  0.02
Rubinstein 1966   80  0.1053  0.0082  0.0383  0.0373  0.0378  0.03
Schilhawsky 1960   16  0.5127  0.0117  0.0916  0.4318  0.3619  0.39
Shebanova 2002   52  0.3223  0.0158  0.0463  0.0460  0.0563  0.04
Smith 1975   5  0.5920  0.018  0.1012  0.4525  0.2525  0.34
Sokolov 2002   11  0.532  0.124  0.121  0.5420  0.388  0.45
Sztompka 1959   2  0.651  0.271  0.262  0.504  0.532  0.51
Tomsic 1995   65  0.2679  0.0067  0.0550  0.0572  0.0361  0.04
Uninsky 1932   10  0.5448  0.0015  0.1118  0.4211  0.4411  0.43
Uninsky 1971   12  0.5335  0.0012  0.199  0.456  0.486  0.46
Wasowski 1980   36  0.3957  0.0040  0.0640  0.1442  0.0939  0.11
Zak 1937   78  0.1263  0.0076  0.0378  0.0373  0.0373  0.03
Zak 1951   76  0.1582  0.0074  0.0473  0.0485  0.0375  0.03
Random 1   89  -0.0585  0.0088  0.0288  0.0246  0.0679  0.03
Random 2   84  0.0465  0.0087  0.0287  0.0231  0.1854  0.06
Random 3   71  0.2046  0.0063  0.0472  0.046  0.4836  0.14

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).