Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.6152  0.0049  0.0845  0.0860  0.0458  0.06
Anderszewski 2003   44  0.6049  0.0054  0.0553  0.0557  0.0470  0.04
Ashkenazy 1981   46  0.5917  0.0150  0.0651  0.0665  0.0464  0.05
Bacha 2000   32  0.6245  0.0045  0.0649  0.0619  0.3439  0.14
Badura 1965   78  0.4476  0.0075  0.0476  0.0461  0.0476  0.04
Barbosa 1983   74  0.4523  0.0159  0.0559  0.0553  0.0662  0.05
Biret 1990   21  0.6647  0.0039  0.0535  0.1860  0.0551  0.09
Blet 2003   63  0.5267  0.0070  0.0554  0.0569  0.0371  0.04
Block 1995   50  0.5857  0.0046  0.0652  0.0627  0.2646  0.12
Blumental 1952   70  0.4668  0.0072  0.0474  0.0483  0.0285  0.03
Boshniakovich 1969   35  0.626  0.0511  0.0738  0.1659  0.0550  0.09
Brailowsky 1960   3  0.742  0.172  0.187  0.481  0.612  0.54
Bunin 1987   73  0.4550  0.0078  0.0377  0.0354  0.0577  0.04
Bunin 1987b   75  0.4433  0.0077  0.0383  0.0354  0.0566  0.04
Chiu 1999   62  0.5282  0.0047  0.0846  0.0836  0.1843  0.12
Cohen 1997   71  0.4656  0.0068  0.0469  0.0410  0.3947  0.12
Cortot 1951   64  0.5053  0.0081  0.0385  0.0371  0.0486  0.03
Csalog 1996   79  0.4481  0.0074  0.0384  0.0373  0.0382  0.03
Czerny 1949   56  0.5569  0.0066  0.0475  0.0469  0.0474  0.04
Czerny 1990   17  0.6916  0.0219  0.0710  0.4435  0.1727  0.27
Duchoud 2007   68  0.4762  0.0080  0.0287  0.0277  0.0388  0.02
Ezaki 2006   14  0.6961  0.0031  0.0727  0.3040  0.1432  0.20
Falvay 1989   5  0.721  0.171  0.171  0.575  0.621  0.59
Farrell 1958   10  0.7044  0.0018  0.089  0.476  0.499  0.48
Ferenczy 1958   76  0.4490  0.0085  0.0378  0.0366  0.0483  0.03
Fliere 1977   2  0.743  0.095  0.122  0.5625  0.3113  0.42
Fou 1978   25  0.6532  0.0021  0.0913  0.4227  0.3018  0.35
Francois 1956   22  0.6626  0.0025  0.0722  0.3222  0.3719  0.34
Friedman 1923   87  0.3084  0.0087  0.0472  0.0466  0.0579  0.04
Friedman 1923b   86  0.3078  0.0086  0.0465  0.0464  0.0578  0.04
Friedman 1930   69  0.4765  0.0062  0.0467  0.0466  0.0573  0.04
Garcia 2007   67  0.4780  0.0073  0.0461  0.0453  0.0575  0.04
Garcia 2007b   85  0.3685  0.0079  0.0380  0.0366  0.0487  0.03
Gierzod 1998   11  0.7034  0.0032  0.0823  0.3234  0.2425  0.28
Gornostaeva 1994   4  0.7446  0.0010  0.085  0.498  0.534  0.51
Groot 1988   8  0.718  0.043  0.133  0.5012  0.517  0.50
Harasiewicz 1955   59  0.5451  0.0035  0.0637  0.1648  0.0552  0.09
Hatto 1993   82  0.4173  0.0065  0.0460  0.0433  0.1754  0.08
Hatto 1997   77  0.4448  0.0061  0.0557  0.0537  0.1353  0.08
Horowitz 1949   51  0.5772  0.0057  0.0748  0.0754  0.0460  0.05
Indjic 1988   81  0.4263  0.0064  0.0471  0.0438  0.1455  0.07
Kapell 1951   52  0.5583  0.0063  0.0473  0.0460  0.0465  0.04
Kissin 1993   9  0.7021  0.018  0.094  0.5021  0.3614  0.42
Kushner 1989   12  0.7042  0.0033  0.0929  0.2941  0.1433  0.20
Luisada 1991   31  0.6212  0.0227  0.0728  0.2936  0.1730  0.22
Lushtak 2004   43  0.604  0.0516  0.0824  0.3129  0.2228  0.26
Malcuzynski 1961   20  0.6864  0.0034  0.1030  0.2622  0.2826  0.27
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   42  0.6154  0.0041  0.0640  0.1544  0.0944  0.12
Michalowski 1933   84  0.3955  0.0082  0.0382  0.0357  0.0668  0.04
Milkina 1970   1  0.7513  0.024  0.106  0.4815  0.4111  0.44
Mohovich 1999   6  0.7219  0.019  0.088  0.4723  0.3912  0.43
Moravec 1969   49  0.5830  0.0056  0.0555  0.0521  0.3641  0.13
Morozova 2008   61  0.5235  0.0052  0.0463  0.0463  0.0472  0.04
Neighaus 1950   16  0.6924  0.0128  0.0625  0.3039  0.1435  0.20
Niedzielski 1931   55  0.5529  0.0048  0.0747  0.0741  0.1149  0.09
Ohlsson 1999   37  0.6236  0.0053  0.0464  0.0463  0.0467  0.04
Osinska 1989   7  0.7118  0.0130  0.0626  0.3030  0.2623  0.28
Pachmann 1927   58  0.5460  0.0055  0.0466  0.0410  0.3845  0.12
Paderewski 1930   24  0.6527  0.0040  0.0643  0.1321  0.3034  0.20
Perlemuter 1992   45  0.6088  0.0038  0.0539  0.1637  0.1240  0.14
Pierdomenico 2008   47  0.5911  0.027  0.1019  0.3610  0.4515  0.40
Poblocka 1999   53  0.5570  0.0071  0.0462  0.0484  0.0380  0.03
Rabcewiczowa 1932   33  0.6214  0.0243  0.0642  0.1433  0.2136  0.17
Rachmaninoff 1923   29  0.647  0.0417  0.0917  0.3718  0.3617  0.36
Rangell 2001   48  0.5840  0.0023  0.0734  0.1828  0.2731  0.22
Richter 1976   72  0.4677  0.0076  0.0386  0.0364  0.0481  0.03
Rosen 1989   15  0.6925  0.0122  0.0721  0.3422  0.3121  0.32
Rosenthal 1930   26  0.6459  0.0037  0.0633  0.2010  0.4822  0.31
Rosenthal 1931   28  0.6487  0.0020  0.0718  0.375  0.658  0.49
Rosenthal 1931b   23  0.6686  0.0015  0.1012  0.425  0.635  0.51
Rosenthal 1931c   13  0.699  0.0313  0.0715  0.416  0.646  0.51
Rosenthal 1931d   18  0.6915  0.0214  0.0911  0.445  0.663  0.54
Rossi 2007   65  0.485  0.056  0.0736  0.1810  0.4524  0.28
Rubinstein 1939   66  0.4731  0.0069  0.0470  0.0421  0.3148  0.11
Rubinstein 1952   34  0.6210  0.0326  0.0816  0.3710  0.5610  0.46
Rubinstein 1966   40  0.6171  0.0051  0.0650  0.0629  0.2942  0.13
Schilhawsky 1960   60  0.5374  0.0060  0.0558  0.0559  0.0563  0.05
Shebanova 2002   27  0.6422  0.0144  0.0644  0.1269  0.0456  0.07
Smith 1975   19  0.6820  0.0112  0.0714  0.4116  0.3716  0.39
Sokolov 2002   38  0.6237  0.0042  0.0541  0.1440  0.1837  0.16
Sztompka 1959   54  0.5543  0.0067  0.0468  0.0460  0.0661  0.05
Tomsic 1995   30  0.6375  0.0029  0.0631  0.2518  0.4420  0.33
Uninsky 1932   83  0.4141  0.0084  0.0381  0.0374  0.0484  0.03
Uninsky 1971   80  0.4238  0.0083  0.0379  0.0366  0.0569  0.04
Wasowski 1980   57  0.5439  0.0058  0.0556  0.0551  0.0559  0.05
Zak 1937   36  0.6266  0.0036  0.0632  0.2342  0.1138  0.16
Zak 1951   39  0.6128  0.0024  0.0620  0.3535  0.1529  0.23
Random 1   90  -0.1479  0.0089  0.0189  0.0161  0.0489  0.02
Random 2   88  -0.0489  0.0088  0.0288  0.0231  0.1657  0.06
Random 3   89  -0.0958  0.0090  0.0190  0.0174  0.0290  0.01

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).