Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.7243  0.0011  0.178  0.5339  0.2417  0.36
Anderszewski 2003   40  0.6068  0.0057  0.0466  0.0488  0.0280  0.03
Ashkenazy 1981   38  0.6010  0.0320  0.0814  0.4729  0.2418  0.34
Bacha 2000   71  0.4734  0.0066  0.0473  0.0485  0.0374  0.03
Badura 1965   27  0.6426  0.0023  0.0820  0.3726  0.4311  0.40
Barbosa 1983   87  0.2085  0.0082  0.0376  0.0380  0.0379  0.03
Biret 1990   62  0.5135  0.0063  0.0467  0.0487  0.0384  0.03
Blet 2003   44  0.5965  0.0053  0.0563  0.0548  0.0752  0.06
Block 1995   72  0.4644  0.0059  0.0560  0.0565  0.0469  0.04
Blumental 1952   70  0.4959  0.0036  0.0640  0.1585  0.0348  0.07
Boshniakovich 1969   1  0.7817  0.019  0.126  0.5421  0.467  0.50
Brailowsky 1960   65  0.5147  0.0071  0.0379  0.0373  0.0375  0.03
Bunin 1987   53  0.5627  0.0027  0.0923  0.287  0.5113  0.38
Bunin 1987b   54  0.5620  0.0126  0.0922  0.297  0.5112  0.38
Chiu 1999   80  0.4045  0.0065  0.0471  0.0471  0.0376  0.03
Cohen 1997   88  0.1829  0.0072  0.0382  0.0379  0.0383  0.03
Cortot 1951   47  0.5988  0.0054  0.0557  0.0577  0.0472  0.04
Csalog 1996   75  0.4275  0.0069  0.0562  0.0558  0.0467  0.04
Czerny 1949   12  0.713  0.113  0.179  0.5319  0.486  0.50
Czerny 1990   34  0.6171  0.0051  0.0651  0.0680  0.0370  0.04
Duchoud 2007   57  0.5531  0.0046  0.0748  0.0716  0.3135  0.15
Ezaki 2006   55  0.5654  0.0058  0.0558  0.0577  0.0358  0.04
Falvay 1989   84  0.3069  0.0088  0.0286  0.0276  0.0389  0.02
Farrell 1958   78  0.4149  0.0078  0.0378  0.0373  0.0478  0.03
Ferenczy 1958   35  0.6181  0.0037  0.0641  0.1531  0.1534  0.15
Fliere 1977   11  0.7172  0.0022  0.0818  0.4249  0.0536  0.14
Fou 1978   33  0.6133  0.0035  0.0635  0.1959  0.0443  0.09
Francois 1956   30  0.6218  0.0152  0.0746  0.0745  0.0946  0.08
Friedman 1923   37  0.6036  0.0024  0.0827  0.2730  0.3821  0.32
Friedman 1923b   41  0.6062  0.0025  0.0830  0.2732  0.3720  0.32
Friedman 1930   28  0.6432  0.0028  0.0829  0.2727  0.4119  0.33
Garcia 2007   29  0.6377  0.0045  0.0644  0.1155  0.0547  0.07
Garcia 2007b   20  0.6728  0.0016  0.0817  0.4329  0.3115  0.37
Gierzod 1998   14  0.6956  0.0021  0.0816  0.4446  0.0930  0.20
Gornostaeva 1994   13  0.6948  0.0040  0.1033  0.2027  0.2031  0.20
Groot 1988   79  0.4063  0.0080  0.0468  0.0487  0.0385  0.03
Harasiewicz 1955   22  0.6750  0.0017  0.0915  0.4433  0.1724  0.27
Hatto 1993   61  0.5389  0.0019  0.0928  0.2742  0.1332  0.19
Hatto 1997   60  0.5578  0.0015  0.0826  0.2741  0.1529  0.20
Horowitz 1949   25  0.6570  0.0029  0.1121  0.3428  0.4114  0.37
Indjic 1988   58  0.5541  0.0013  0.0925  0.2842  0.1628  0.21
Kapell 1951   17  0.6912  0.0214  0.0919  0.4135  0.1326  0.23
Kissin 1993   24  0.6557  0.0038  0.0924  0.2863  0.0438  0.11
Kushner 1989   21  0.6715  0.0141  0.0837  0.1874  0.0445  0.08
Luisada 1991   63  0.5160  0.0056  0.0559  0.0577  0.0360  0.04
Lushtak 2004   73  0.4490  0.0070  0.0653  0.0678  0.0368  0.04
Malcuzynski 1961   23  0.659  0.0332  0.0638  0.1721  0.2727  0.21
Magaloff 1978   74  0.4337  0.0081  0.0561  0.0588  0.0362  0.04
Magin 1975   7  0.744  0.085  0.132  0.6218  0.404  0.50
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   26  0.6582  0.0050  0.0554  0.0575  0.0365  0.04
Mohovich 1999   56  0.5679  0.0067  0.0469  0.0487  0.0382  0.03
Moravec 1969   76  0.4116  0.0177  0.0472  0.0460  0.0459  0.04
Morozova 2008   50  0.5758  0.0049  0.0747  0.0764  0.0456  0.05
Neighaus 1950   9  0.7311  0.037  0.1711  0.5220  0.428  0.47
Niedzielski 1931   45  0.5921  0.0148  0.0650  0.0658  0.0455  0.05
Ohlsson 1999   16  0.6964  0.0018  0.1213  0.4830  0.2716  0.36
Osinska 1989   46  0.5983  0.0060  0.0556  0.0584  0.0361  0.04
Pachmann 1927   32  0.6142  0.0062  0.0470  0.0427  0.2540  0.10
Paderewski 1930   19  0.6714  0.0234  0.0731  0.2624  0.3222  0.29
Perlemuter 1992   52  0.5786  0.0044  0.0545  0.1052  0.0449  0.06
Pierdomenico 2008   77  0.4184  0.0079  0.0475  0.0451  0.0654  0.05
Poblocka 1999   8  0.745  0.084  0.185  0.5716  0.463  0.51
Rabcewiczowa 1932   31  0.628  0.0333  0.0634  0.2037  0.1433  0.17
Rachmaninoff 1923   59  0.5523  0.0055  0.0555  0.0581  0.0363  0.04
Rangell 2001   64  0.5113  0.0261  0.0564  0.0533  0.2242  0.10
Richter 1976   43  0.5946  0.0030  0.0836  0.1823  0.4523  0.28
Rosen 1989   18  0.6873  0.0039  0.0739  0.1542  0.0839  0.11
Rosenthal 1930   49  0.5866  0.0064  0.0565  0.0530  0.1544  0.09
Rosenthal 1931   67  0.5138  0.0075  0.0377  0.0349  0.0566  0.04
Rosenthal 1931b   66  0.5140  0.0074  0.0380  0.0366  0.0486  0.03
Rosenthal 1931c   69  0.5030  0.0073  0.0383  0.0348  0.0573  0.04
Rosenthal 1931d   68  0.5022  0.0076  0.0474  0.0461  0.0571  0.04
Rossi 2007   82  0.3287  0.0086  0.0289  0.0286  0.0388  0.02
Rubinstein 1939   85  0.2951  0.0083  0.0381  0.0381  0.0377  0.03
Rubinstein 1952   86  0.2474  0.0084  0.0385  0.0384  0.0387  0.03
Rubinstein 1966   83  0.3155  0.0085  0.0384  0.0385  0.0381  0.03
Schilhawsky 1960   15  0.696  0.066  0.137  0.5421  0.475  0.50
Shebanova 2002   4  0.7524  0.0010  0.1710  0.5328  0.3010  0.40
Smith 1975   39  0.6039  0.0068  0.0652  0.0680  0.0364  0.04
Sokolov 2002   42  0.6019  0.0131  0.0632  0.2628  0.2225  0.24
Sztompka 1959   2  0.777  0.058  0.151  0.6224  0.329  0.45
Tomsic 1995   81  0.3291  0.0087  0.0288  0.0285  0.0290  0.02
Uninsky 1932   3  0.751  0.161  0.164  0.589  0.522  0.55
Uninsky 1971   6  0.752  0.142  0.243  0.615  0.491  0.55
Wasowski 1980   36  0.6067  0.0047  0.0749  0.0776  0.0453  0.05
Zak 1937   48  0.5880  0.0043  0.0643  0.1382  0.0350  0.06
Zak 1951   51  0.5752  0.0042  0.0542  0.1379  0.0351  0.06
Average   5  0.7553  0.0012  0.1112  0.5072  0.0437  0.14
Random 1   91  -0.2325  0.0091  0.0191  0.0149  0.0591  0.02
Random 2   89  -0.0676  0.0089  0.0287  0.026  0.4741  0.10
Random 3   90  -0.0661  0.0090  0.0190  0.0127  0.2957  0.05

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).