Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6453  0.0019  0.1019  0.4230  0.3514  0.38
Anderszewski 2003   32  0.5828  0.0029  0.0630  0.3333  0.3127  0.32
Ashkenazy 1981   5  0.663  0.145  0.196  0.557  0.556  0.55
Bacha 2000   68  0.4579  0.0065  0.0463  0.0445  0.0570  0.04
Badura 1965   4  0.672  0.154  0.235  0.571  0.712  0.64
Barbosa 1983   45  0.5430  0.0043  0.0543  0.1234  0.2542  0.17
Biret 1990   46  0.5347  0.0039  0.0637  0.2343  0.1144  0.16
Blet 2003   55  0.5039  0.0063  0.0465  0.0450  0.0666  0.05
Block 1995   59  0.4976  0.0062  0.0466  0.0452  0.0576  0.04
Blumental 1952   48  0.5329  0.0050  0.0557  0.0566  0.0477  0.04
Boshniakovich 1969   22  0.6155  0.0018  0.1123  0.4033  0.3219  0.36
Brailowsky 1960   76  0.4272  0.0077  0.0376  0.0349  0.0671  0.04
Bunin 1987   72  0.4354  0.0072  0.0561  0.0535  0.2352  0.11
Bunin 1987b   71  0.4363  0.0070  0.0464  0.0435  0.2553  0.10
Chiu 1999   34  0.5818  0.0135  0.0839  0.2217  0.3528  0.28
Cohen 1997   87  0.3467  0.0082  0.0384  0.0360  0.0486  0.03
Cortot 1951   67  0.4536  0.0073  0.0555  0.0559  0.0569  0.05
Csalog 1996   79  0.4189  0.0064  0.0473  0.0448  0.0575  0.04
Czerny 1949   28  0.6014  0.0116  0.1112  0.4634  0.3512  0.40
Czerny 1990   20  0.6173  0.0024  0.0821  0.4140  0.1730  0.26
Duchoud 2007   63  0.4826  0.0048  0.0650  0.0611  0.4143  0.16
Ezaki 2006   18  0.6246  0.0032  0.0635  0.2538  0.1936  0.22
Falvay 1989   65  0.4661  0.0074  0.0382  0.0359  0.0672  0.04
Farrell 1958   36  0.5813  0.0141  0.0841  0.2136  0.2931  0.25
Ferenczy 1958   77  0.4127  0.0081  0.0286  0.0281  0.0388  0.02
Fliere 1977   8  0.6552  0.0012  0.0814  0.4543  0.1233  0.23
Fou 1978   17  0.6338  0.0015  0.1011  0.4820  0.4210  0.45
Francois 1956   70  0.4448  0.0058  0.0471  0.0436  0.2157  0.09
Friedman 1923   43  0.5420  0.0149  0.0556  0.0537  0.2748  0.12
Friedman 1923b   40  0.5624  0.0047  0.0645  0.0634  0.3445  0.14
Friedman 1930   51  0.5274  0.0060  0.0554  0.0542  0.2054  0.10
Garcia 2007   49  0.5351  0.0055  0.0552  0.0532  0.3047  0.12
Garcia 2007b   52  0.5164  0.0052  0.0646  0.0641  0.1060  0.08
Gierzod 1998   16  0.6332  0.0013  0.099  0.5136  0.2815  0.38
Gornostaeva 1994   60  0.4821  0.0169  0.0562  0.0584  0.0378  0.04
Groot 1988   62  0.4822  0.0153  0.0648  0.0663  0.0567  0.05
Harasiewicz 1955   13  0.6380  0.0027  0.0629  0.3341  0.1634  0.23
Hatto 1993   15  0.6368  0.0011  0.0822  0.4128  0.2724  0.33
Hatto 1997   11  0.6369  0.009  0.0917  0.4325  0.3018  0.36
Horowitz 1949   58  0.4950  0.0071  0.0467  0.0442  0.1858  0.08
Indjic 1988   12  0.6385  0.0010  0.0818  0.4226  0.3020  0.35
Kapell 1951   38  0.5734  0.0017  0.1115  0.4431  0.2425  0.32
Kissin 1993   1  0.695  0.073  0.193  0.6213  0.614  0.61
Kushner 1989   2  0.671  0.231  0.232  0.679  0.621  0.64
Luisada 1991   7  0.6510  0.0120  0.1124  0.3921  0.3416  0.36
Lushtak 2004   31  0.5935  0.0028  0.0626  0.3527  0.3223  0.33
Malcuzynski 1961   66  0.4640  0.0057  0.0559  0.0550  0.0565  0.05
Magaloff 1978   61  0.4841  0.0056  0.0558  0.0548  0.0664  0.05
Magin 1975   3  0.679  0.026  0.194  0.605  0.565  0.58
Michalowski 1933   64  0.4687  0.0067  0.0475  0.0441  0.1859  0.08
Milkina 1970   9  0.644  0.102  0.171  0.6815  0.543  0.61
Mohovich 1999   50  0.5242  0.0051  0.0551  0.0544  0.1162  0.07
Moravec 1969   82  0.3877  0.0083  0.0287  0.0281  0.0387  0.02
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   44  0.5444  0.0054  0.0649  0.0657  0.0568  0.05
Niedzielski 1931   75  0.4281  0.0078  0.0474  0.0468  0.0383  0.03
Ohlsson 1999   25  0.617  0.028  0.118  0.5113  0.527  0.51
Osinska 1989   33  0.5811  0.0121  0.0913  0.4546  0.0839  0.19
Pachmann 1927   69  0.4570  0.0076  0.0378  0.0319  0.4151  0.11
Paderewski 1930   80  0.4171  0.0075  0.0383  0.0365  0.0484  0.03
Perlemuter 1992   47  0.5366  0.0059  0.0472  0.0447  0.0663  0.05
Pierdomenico 2008   73  0.4375  0.0068  0.0468  0.0435  0.2850  0.11
Poblocka 1999   26  0.608  0.0223  0.0825  0.3735  0.3221  0.34
Rabcewiczowa 1932   41  0.5637  0.0026  0.0633  0.2829  0.2629  0.27
Rachmaninoff 1923   42  0.5578  0.0040  0.0740  0.2242  0.1341  0.17
Rangell 2001   74  0.4312  0.0166  0.0470  0.0435  0.2755  0.10
Richter 1976   29  0.6033  0.0031  0.0538  0.2226  0.4626  0.32
Rosen 1989   35  0.5831  0.0038  0.0734  0.2739  0.1738  0.21
Rosenthal 1930   83  0.3856  0.0084  0.0377  0.0374  0.0385  0.03
Rosenthal 1931   81  0.3886  0.0079  0.0381  0.0353  0.0674  0.04
Rosenthal 1931b   85  0.3545  0.0086  0.0379  0.0350  0.0580  0.04
Rosenthal 1931c   84  0.3665  0.0085  0.0380  0.0351  0.0581  0.04
Rosenthal 1931d   86  0.3482  0.0087  0.0469  0.0456  0.0579  0.04
Rossi 2007   78  0.4157  0.0080  0.0285  0.0264  0.0482  0.03
Rubinstein 1939   30  0.6025  0.0036  0.0832  0.2913  0.4122  0.34
Rubinstein 1952   54  0.5115  0.0142  0.0842  0.1731  0.3235  0.23
Rubinstein 1966   23  0.6143  0.0025  0.0720  0.4228  0.3713  0.39
Schilhawsky 1960   21  0.6159  0.0033  0.0728  0.3430  0.3917  0.36
Shebanova 2002   14  0.636  0.037  0.1210  0.5021  0.3711  0.43
Smith 1975   57  0.4990  0.0061  0.0560  0.0577  0.0373  0.04
Sokolov 2002   53  0.5158  0.0045  0.0553  0.0530  0.2449  0.11
Sztompka 1959   6  0.6519  0.0114  0.107  0.5132  0.418  0.46
Tomsic 1995   56  0.4916  0.0144  0.0544  0.1010  0.5632  0.24
Uninsky 1932   19  0.6217  0.0122  0.0816  0.4415  0.499  0.46
Uninsky 1971   39  0.5762  0.0037  0.0736  0.2438  0.2037  0.22
Wasowski 1980   37  0.5760  0.0046  0.0647  0.0645  0.0861  0.07
Zak 1937   27  0.6049  0.0034  0.0931  0.3056  0.0646  0.13
Zak 1951   24  0.6123  0.0130  0.0627  0.3444  0.1040  0.18
Random 1   90  -0.1183  0.0090  0.0190  0.0165  0.0389  0.02
Random 2   88  0.0284  0.0088  0.0288  0.0210  0.4556  0.09
Random 3   89  -0.1088  0.0089  0.0189  0.0167  0.0490  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).