Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.346  0.0414  0.1513  0.6417  0.5114  0.57
Anderszewski 2003   8  0.3913  0.017  0.176  0.732  0.744  0.73
Ashkenazy 1981   29  0.2553  0.0031  0.1022  0.4657  0.0631  0.17
Bacha 2000   1  0.492  0.212  0.261  0.841  0.822  0.83
Badura 1965   12  0.365  0.0612  0.1516  0.622  0.6910  0.65
Barbosa 1983   42  0.2086  0.0056  0.0654  0.0656  0.0562  0.05
Biret 1990   90  -0.1887  0.0090  0.0190  0.0190  0.0190  0.01
Blet 2003   78  0.0120  0.0079  0.0286  0.0274  0.0387  0.02
Block 1995   17  0.3223  0.0017  0.1215  0.6234  0.3518  0.47
Blumental 1952   14  0.3534  0.0013  0.1510  0.6811  0.5812  0.63
Boshniakovich 1969   22  0.3130  0.0020  0.1618  0.5741  0.1626  0.30
Brailowsky 1960   9  0.399  0.0210  0.1611  0.665  0.687  0.67
Bunin 1987   75  0.0772  0.0078  0.0284  0.0279  0.0389  0.02
Bunin 1987b   73  0.0743  0.0077  0.0282  0.0278  0.0384  0.02
Chiu 1999   64  0.1562  0.0065  0.0559  0.0574  0.0470  0.04
Cohen 1997   44  0.2063  0.0045  0.0561  0.0536  0.3438  0.13
Cortot 1951   16  0.3235  0.0024  0.0821  0.5119  0.5316  0.52
Csalog 1996   87  -0.0378  0.0088  0.0287  0.0286  0.0286  0.02
Czerny 1949   74  0.0764  0.0072  0.0466  0.0452  0.0665  0.05
Czerny 1990   83  0.0079  0.0081  0.0372  0.0375  0.0378  0.03
Duchoud 2007   85  -0.0188  0.0082  0.0278  0.0286  0.0288  0.02
Ezaki 2006   6  0.4216  0.009  0.187  0.7222  0.598  0.65
Falvay 1989   52  0.1838  0.0057  0.0751  0.0774  0.0357  0.05
Farrell 1958   77  0.0227  0.0073  0.0375  0.0388  0.0183  0.02
Ferenczy 1958   24  0.2914  0.0136  0.0636  0.2521  0.7121  0.42
Fliere 1977   36  0.2215  0.0139  0.0834  0.2675  0.0440  0.10
Fou 1978   11  0.3611  0.0115  0.1714  0.6422  0.4215  0.52
Francois 1956   76  0.0359  0.0075  0.0277  0.0265  0.0479  0.03
Friedman 1923   63  0.1560  0.0067  0.0469  0.0465  0.0574  0.04
Friedman 1923b   66  0.1365  0.0070  0.0468  0.0471  0.0473  0.04
Friedman 1930   60  0.1549  0.0064  0.0560  0.0567  0.0563  0.05
Garcia 2007   56  0.1724  0.0028  0.0732  0.2939  0.2329  0.26
Garcia 2007b   86  -0.0254  0.0080  0.0279  0.0262  0.0580  0.03
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   30  0.2533  0.0026  0.0827  0.4026  0.4522  0.42
Groot 1988   53  0.1718  0.0030  0.0933  0.2769  0.0539  0.12
Harasiewicz 1955   35  0.2355  0.0047  0.0562  0.0556  0.0566  0.05
Hatto 1993   40  0.2167  0.0050  0.0847  0.0858  0.0750  0.07
Hatto 1997   65  0.1373  0.0060  0.0652  0.0665  0.0464  0.05
Horowitz 1949   82  0.0046  0.0084  0.0283  0.0282  0.0385  0.02
Indjic 1988   59  0.1689  0.0055  0.0563  0.0560  0.0661  0.05
Kapell 1951   84  0.0090  0.0085  0.0285  0.0276  0.0475  0.03
Kissin 1993   41  0.2132  0.0053  0.0846  0.0854  0.0748  0.07
Kushner 1989   7  0.4128  0.008  0.178  0.7212  0.589  0.65
Luisada 1991   70  0.0939  0.0071  0.0373  0.0366  0.0567  0.04
Lushtak 2004   10  0.3710  0.0111  0.1512  0.658  0.5913  0.62
Malcuzynski 1961   4  0.464  0.094  0.365  0.779  0.606  0.68
Magaloff 1978   19  0.3144  0.0019  0.1720  0.5432  0.3619  0.44
Magin 1975   67  0.1280  0.0062  0.0655  0.0657  0.0651  0.06
Michalowski 1933   72  0.0768  0.0074  0.0374  0.0374  0.0476  0.03
Milkina 1970   69  0.1081  0.0068  0.0471  0.0457  0.0572  0.04
Mohovich 1999   2  0.483  0.163  0.264  0.788  0.645  0.71
Moravec 1969   48  0.1912  0.0149  0.0653  0.0671  0.0456  0.05
Morozova 2008   18  0.3122  0.0016  0.1423  0.4448  0.0633  0.16
Neighaus 1950   33  0.2369  0.0041  0.0839  0.2066  0.0542  0.10
Niedzielski 1931   26  0.2640  0.0033  0.1030  0.3747  0.0732  0.16
Ohlsson 1999   43  0.2082  0.0052  0.0748  0.0782  0.0360  0.05
Osinska 1989   61  0.1583  0.0063  0.0565  0.0564  0.0468  0.04
Pachmann 1927   34  0.2374  0.0043  0.0742  0.1569  0.0543  0.09
Paderewski 1930   46  0.2084  0.0051  0.0945  0.0966  0.0547  0.07
Perlemuter 1992   31  0.2541  0.0032  0.1128  0.4040  0.2725  0.33
Pierdomenico 2008   71  0.0917  0.0069  0.0467  0.0467  0.0471  0.04
Poblocka 1999   57  0.1750  0.0037  0.0641  0.1772  0.0445  0.08
Rabcewiczowa 1932   39  0.2166  0.0042  0.0743  0.1433  0.3330  0.21
Rachmaninoff 1923   88  -0.0531  0.0083  0.0281  0.0286  0.0282  0.02
Rangell 2001   32  0.2329  0.0040  0.0838  0.2166  0.0541  0.10
Richter 1976   49  0.1951  0.0059  0.0564  0.0556  0.0659  0.05
Rosen 1989   25  0.2770  0.0027  0.0926  0.4259  0.0437  0.13
Rosenthal 1930   28  0.267  0.0322  0.0925  0.4322  0.4420  0.43
Rosenthal 1931   3  0.471  0.241  0.232  0.824  0.861  0.84
Rosenthal 1931b   5  0.458  0.035  0.343  0.805  0.843  0.82
Rosenthal 1931c   13  0.3619  0.006  0.159  0.6810  0.6311  0.65
Rosenthal 1931d   23  0.2956  0.0025  0.0824  0.4312  0.5517  0.49
Rossi 2007   79  0.0057  0.0076  0.0376  0.0352  0.0569  0.04
Rubinstein 1939   50  0.1937  0.0034  0.1137  0.2352  0.0736  0.13
Rubinstein 1952   51  0.1858  0.0046  0.0749  0.0753  0.0555  0.06
Rubinstein 1966   21  0.3136  0.0021  0.1219  0.5739  0.1328  0.27
Schilhawsky 1960   55  0.1721  0.0058  0.0656  0.0647  0.0654  0.06
Shebanova 2002   27  0.2675  0.0038  0.0735  0.2652  0.0834  0.14
Smith 1975   38  0.2245  0.0029  0.0829  0.4028  0.4023  0.40
Sokolov 2002   45  0.2025  0.0035  0.0840  0.1865  0.0346  0.07
Sztompka 1959   58  0.1676  0.0048  0.0750  0.0759  0.0653  0.06
Tomsic 1995   37  0.2242  0.0023  0.0831  0.3631  0.2127  0.27
Uninsky 1932   54  0.1771  0.0044  0.0644  0.1173  0.0449  0.07
Uninsky 1971   20  0.3126  0.0018  0.1317  0.6231  0.2624  0.40
Wasowski 1980   89  -0.1085  0.0089  0.0288  0.0284  0.0281  0.02
Zak 1937   62  0.1561  0.0061  0.0658  0.0666  0.0558  0.05
Zak 1951   47  0.2047  0.0054  0.0657  0.0647  0.0752  0.06
Random 1   80  0.0077  0.0087  0.0289  0.0263  0.0477  0.03
Random 2   68  0.1252  0.0066  0.0470  0.0410  0.4835  0.14
Random 3   81  0.0048  0.0086  0.0280  0.0218  0.3844  0.09

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).