Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7047  0.0031  0.0625  0.2460  0.0447  0.10
Anderszewski 2003   19  0.706  0.0513  0.1217  0.3816  0.3016  0.34
Ashkenazy 1981   31  0.6723  0.0139  0.0436  0.1571  0.0458  0.08
Bacha 2000   9  0.7441  0.0023  0.0622  0.3011  0.4013  0.35
Badura 1965   76  0.5110  0.0383  0.0462  0.0455  0.0581  0.04
Barbosa 1983   66  0.5459  0.0022  0.0734  0.1811  0.3726  0.26
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   44  0.635  0.0517  0.0823  0.279  0.3918  0.32
Block 1995   81  0.4949  0.0042  0.0441  0.0938  0.1248  0.10
Blumental 1952   7  0.7512  0.019  0.098  0.535  0.399  0.45
Boshniakovich 1969   60  0.5738  0.0057  0.0460  0.0452  0.0672  0.05
Brailowsky 1960   17  0.7088  0.0048  0.0844  0.0818  0.3532  0.17
Bunin 1987   86  0.3087  0.0087  0.0377  0.0370  0.0486  0.03
Bunin 1987b   87  0.2884  0.0086  0.0380  0.0371  0.0483  0.03
Chiu 1999   30  0.6866  0.0041  0.0443  0.0922  0.2537  0.15
Cohen 1997   54  0.5878  0.0075  0.0387  0.0317  0.3549  0.10
Cortot 1951   36  0.6664  0.0035  0.0535  0.1818  0.4125  0.27
Csalog 1996   77  0.5130  0.0053  0.0463  0.0427  0.2845  0.11
Czerny 1949   63  0.5555  0.0068  0.0470  0.0452  0.0669  0.05
Czerny 1990   21  0.7042  0.0016  0.1016  0.4027  0.2419  0.31
Duchoud 2007   73  0.5276  0.0082  0.0550  0.0558  0.0570  0.05
Ezaki 2006   13  0.737  0.0414  0.1014  0.4216  0.3911  0.40
Falvay 1989   48  0.6153  0.0079  0.0385  0.0331  0.4142  0.11
Farrell 1958   6  0.752  0.092  0.164  0.573  0.583  0.57
Ferenczy 1958   65  0.5574  0.0056  0.0471  0.0448  0.0667  0.05
Fliere 1977   38  0.6526  0.0033  0.0531  0.1963  0.0452  0.09
Fou 1978   1  0.799  0.035  0.143  0.584  0.505  0.54
Francois 1956   34  0.6670  0.0026  0.0724  0.2515  0.4517  0.34
Friedman 1923   55  0.5871  0.0078  0.0383  0.0366  0.0488  0.03
Friedman 1923b   57  0.5760  0.0077  0.0379  0.0368  0.0487  0.03
Friedman 1930   59  0.5745  0.0081  0.0467  0.0468  0.0480  0.04
Garcia 2007   10  0.7335  0.0011  0.109  0.518  0.547  0.52
Garcia 2007b   15  0.7118  0.0112  0.1212  0.4520  0.4010  0.42
Gierzod 1998   39  0.6536  0.0038  0.0438  0.1254  0.0557  0.08
Gornostaeva 1994   52  0.6082  0.0061  0.0556  0.0543  0.0960  0.07
Groot 1988   32  0.6714  0.0120  0.0827  0.2214  0.4120  0.30
Harasiewicz 1955   41  0.6425  0.0034  0.0533  0.1855  0.0553  0.09
Hatto 1993   53  0.5967  0.0063  0.0551  0.0555  0.0673  0.05
Hatto 1997   50  0.6183  0.0064  0.0940  0.0950  0.0659  0.07
Horowitz 1949   61  0.5572  0.0066  0.0384  0.0351  0.0763  0.05
Indjic 1988   49  0.6177  0.0062  0.0465  0.0450  0.0665  0.05
Kapell 1951   37  0.6617  0.0110  0.1010  0.4919  0.2315  0.34
Kissin 1993   40  0.6520  0.0132  0.0532  0.1849  0.0456  0.08
Kushner 1989   12  0.738  0.037  0.177  0.533  0.556  0.54
Luisada 1991   23  0.6932  0.0030  0.0726  0.2447  0.0739  0.13
Lushtak 2004   24  0.6916  0.0118  0.0815  0.4014  0.3114  0.35
Malcuzynski 1961   83  0.4763  0.0070  0.0376  0.0345  0.0675  0.04
Magaloff 1978   26  0.6937  0.0047  0.0549  0.0524  0.2841  0.12
Magin 1975   70  0.5250  0.0059  0.0464  0.0463  0.0474  0.04
Michalowski 1933   74  0.5134  0.0076  0.0386  0.0366  0.0484  0.03
Milkina 1970   2  0.783  0.093  0.191  0.694  0.621  0.65
Mohovich 1999   3  0.7815  0.016  0.146  0.545  0.584  0.56
Moravec 1969   51  0.6024  0.0051  0.0554  0.0518  0.4636  0.15
Morozova 2008   47  0.6133  0.0044  0.0446  0.0764  0.0466  0.05
Neighaus 1950   42  0.6452  0.0052  0.0466  0.0468  0.0482  0.04
Niedzielski 1931   67  0.5443  0.0050  0.0648  0.0643  0.1055  0.08
Ohlsson 1999   46  0.6244  0.0055  0.0468  0.0469  0.0478  0.04
Osinska 1989   4  0.771  0.301  0.302  0.636  0.572  0.60
Pachmann 1927   71  0.5279  0.0084  0.0557  0.0559  0.0477  0.04
Paderewski 1930   22  0.7061  0.0036  0.0730  0.1911  0.4321  0.29
Perlemuter 1992   5  0.774  0.084  0.145  0.558  0.478  0.51
Pierdomenico 2008   75  0.5180  0.0043  0.0445  0.089  0.4531  0.19
Poblocka 1999   82  0.4840  0.0058  0.0553  0.0549  0.0662  0.05
Rabcewiczowa 1932   8  0.7513  0.0115  0.1113  0.4210  0.3912  0.40
Rachmaninoff 1923   20  0.7019  0.0128  0.0637  0.1475  0.0361  0.06
Rangell 2001   69  0.5331  0.0037  0.0442  0.098  0.4330  0.20
Richter 1976   85  0.3289  0.0085  0.0473  0.0466  0.0476  0.04
Rosen 1989   29  0.6985  0.0025  0.0818  0.3529  0.2124  0.27
Rosenthal 1930   72  0.5246  0.0074  0.0378  0.0339  0.1071  0.05
Rosenthal 1931   68  0.5327  0.0073  0.0472  0.0422  0.3244  0.11
Rosenthal 1931b   64  0.5521  0.0172  0.0382  0.0321  0.3151  0.10
Rosenthal 1931c   80  0.4969  0.0080  0.0469  0.0430  0.2254  0.09
Rosenthal 1931d   62  0.5551  0.0071  0.0375  0.0320  0.3550  0.10
Rossi 2007   18  0.7056  0.0045  0.0555  0.058  0.5233  0.16
Rubinstein 1939   43  0.6454  0.0054  0.0461  0.0424  0.2943  0.11
Rubinstein 1952   58  0.5786  0.0049  0.0647  0.0616  0.4535  0.16
Rubinstein 1966   14  0.7248  0.0027  0.0629  0.2018  0.3922  0.28
Schilhawsky 1960   79  0.4922  0.0169  0.0381  0.0358  0.0579  0.04
Shebanova 2002   28  0.6973  0.0024  0.0819  0.3444  0.0834  0.16
Smith 1975   45  0.6268  0.0040  0.0439  0.1033  0.1740  0.13
Sokolov 2002   35  0.6639  0.0046  0.0552  0.0526  0.2246  0.10
Sztompka 1959   11  0.7311  0.028  0.1211  0.4737  0.1623  0.27
Tomsic 1995   78  0.5065  0.0065  0.0459  0.0417  0.4738  0.14
Uninsky 1932   56  0.5757  0.0060  0.0558  0.0558  0.0568  0.05
Uninsky 1971   84  0.4362  0.0067  0.0374  0.0350  0.0764  0.05
Wasowski 1980   27  0.6929  0.0029  0.0628  0.2122  0.2229  0.21
Zak 1937   25  0.6928  0.0019  0.0820  0.3334  0.1627  0.23
Zak 1951   33  0.6758  0.0021  0.0821  0.3239  0.1628  0.23
Random 1   90  -0.2590  0.0089  0.0189  0.0150  0.0489  0.02
Random 2   88  0.0181  0.0088  0.0188  0.0138  0.1185  0.03
Random 3   89  -0.1675  0.0090  0.0190  0.0149  0.0590  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).