Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.2757  0.0062  0.0557  0.0572  0.0476  0.04
Anderszewski 2003   71  0.2059  0.0070  0.0468  0.0442  0.1155  0.07
Ashkenazy 1981   27  0.3980  0.0041  0.0835  0.2462  0.0648  0.12
Bacha 2000   80  0.1343  0.0075  0.0475  0.0472  0.0472  0.04
Badura 1965   69  0.2145  0.0052  0.0558  0.0540  0.1451  0.08
Barbosa 1983   55  0.2772  0.0060  0.0562  0.0561  0.0565  0.05
Biret 1990   11  0.4461  0.0023  0.0722  0.467  0.7110  0.57
Blet 2003   39  0.3662  0.0031  0.0730  0.3535  0.3828  0.36
Block 1995   65  0.2483  0.0061  0.0473  0.0483  0.0384  0.03
Blumental 1952   77  0.1684  0.0079  0.0380  0.0378  0.0385  0.03
Boshniakovich 1969   63  0.2450  0.0047  0.0750  0.0760  0.0660  0.06
Brailowsky 1960   73  0.1968  0.0073  0.0471  0.0473  0.0474  0.04
Bunin 1987   37  0.3728  0.0014  0.1118  0.5210  0.5712  0.54
Bunin 1987b   31  0.378  0.0213  0.1215  0.5210  0.5711  0.54
Chiu 1999   2  0.552  0.222  0.262  0.792  0.762  0.77
Cohen 1997   57  0.2715  0.0064  0.0560  0.0554  0.0668  0.05
Cortot 1951   68  0.2285  0.0072  0.0655  0.0655  0.0569  0.05
Csalog 1996   3  0.501  0.221  0.223  0.751  0.793  0.77
Czerny 1949   72  0.2067  0.0080  0.0379  0.0351  0.0766  0.05
Czerny 1990   5  0.4727  0.0017  0.1310  0.5819  0.707  0.64
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   78  0.1616  0.0076  0.0377  0.0371  0.0378  0.03
Falvay 1989   18  0.419  0.0218  0.1223  0.465  0.5416  0.50
Farrell 1958   4  0.487  0.037  0.1411  0.562  0.746  0.64
Ferenczy 1958   86  0.0075  0.0089  0.0287  0.0265  0.0482  0.03
Fliere 1977   15  0.4260  0.0016  0.157  0.6035  0.4513  0.52
Fou 1978   50  0.3166  0.0054  0.0564  0.0556  0.0563  0.05
Francois 1956   62  0.2513  0.0167  0.0565  0.0544  0.1252  0.08
Friedman 1923   32  0.3781  0.0028  0.0725  0.4133  0.4323  0.42
Friedman 1923b   28  0.3848  0.0026  0.0919  0.4830  0.5018  0.49
Friedman 1930   25  0.3958  0.0025  0.0820  0.4734  0.4221  0.44
Garcia 2007   53  0.2854  0.0055  0.0563  0.0545  0.0667  0.05
Garcia 2007b   54  0.2876  0.0050  0.0556  0.0544  0.1253  0.08
Gierzod 1998   87  -0.0186  0.0084  0.0286  0.0278  0.0287  0.02
Gornostaeva 1994   46  0.3146  0.0049  0.0749  0.0730  0.3942  0.17
Groot 1988   13  0.4318  0.0021  0.0917  0.5234  0.2431  0.35
Harasiewicz 1955   45  0.3177  0.0051  0.0654  0.0649  0.0661  0.06
Hatto 1993   12  0.4417  0.009  0.1424  0.4528  0.3227  0.38
Hatto 1997   30  0.3824  0.0036  0.0836  0.2328  0.2734  0.25
Horowitz 1949   36  0.3751  0.0042  0.0838  0.2135  0.3233  0.26
Indjic 1988   19  0.4173  0.0022  0.1027  0.3932  0.3230  0.35
Kapell 1951   14  0.4332  0.0019  0.1512  0.5515  0.4617  0.50
Kissin 1993   51  0.2914  0.0027  0.0832  0.3233  0.4526  0.38
Kushner 1989   17  0.414  0.084  0.159  0.5915  0.559  0.57
Luisada 1991   21  0.4036  0.0030  0.0831  0.3342  0.2332  0.28
Lushtak 2004   48  0.3187  0.0058  0.0751  0.0727  0.2147  0.12
Malcuzynski 1961   76  0.1755  0.0074  0.0466  0.0475  0.0379  0.03
Magaloff 1978   66  0.2440  0.0053  0.0467  0.0451  0.0662  0.05
Magin 1975   43  0.3225  0.0039  0.0742  0.1637  0.3038  0.22
Michalowski 1933   34  0.3764  0.0024  0.0721  0.4620  0.4719  0.46
Milkina 1970   47  0.3182  0.0048  0.0845  0.0827  0.3941  0.18
Mohovich 1999   75  0.1878  0.0077  0.0376  0.0362  0.0577  0.04
Moravec 1969   26  0.3935  0.0032  0.0829  0.3519  0.4124  0.38
Morozova 2008   20  0.4044  0.0020  0.0816  0.5221  0.3820  0.44
Neighaus 1950   9  0.4531  0.008  0.1414  0.5325  0.3522  0.43
Niedzielski 1931   40  0.3463  0.0035  0.0834  0.2636  0.2235  0.24
Ohlsson 1999   16  0.425  0.056  0.1128  0.3826  0.3229  0.35
Osinska 1989   49  0.3120  0.0029  0.0740  0.1936  0.2936  0.23
Pachmann 1927   52  0.2852  0.0056  0.0653  0.0649  0.0757  0.06
Paderewski 1930   74  0.1969  0.0066  0.0470  0.0463  0.0664  0.05
Perlemuter 1992   70  0.2070  0.0065  0.0561  0.0564  0.0473  0.04
Pierdomenico 2008   23  0.4022  0.0034  0.0733  0.2816  0.5125  0.38
Poblocka 1999   10  0.4433  0.0015  0.126  0.6310  0.568  0.59
Rabcewiczowa 1932   67  0.2274  0.0078  0.0378  0.0364  0.0575  0.04
Rachmaninoff 1923   7  0.4610  0.0110  0.145  0.6710  0.705  0.68
Rangell 2001   41  0.3430  0.0044  0.0843  0.1532  0.2639  0.20
Richter 1976   6  0.4747  0.005  0.134  0.7022  0.714  0.70
Rosen 1989   24  0.4037  0.0012  0.1113  0.5521  0.5014  0.52
Rosenthal 1930   64  0.2441  0.0068  0.0472  0.0445  0.0959  0.06
Rosenthal 1931   84  0.0388  0.0087  0.0382  0.0369  0.0380  0.03
Rosenthal 1931b   83  0.0489  0.0086  0.0284  0.0268  0.0486  0.03
Rosenthal 1931c   79  0.1611  0.0171  0.0469  0.0446  0.0670  0.05
Rosenthal 1931d   85  0.0271  0.0085  0.0289  0.0273  0.0390  0.02
Rossi 2007   82  0.0956  0.0081  0.0381  0.0338  0.1256  0.06
Rubinstein 1939   38  0.3753  0.0040  0.0741  0.1923  0.2837  0.23
Rubinstein 1952   60  0.2649  0.0063  0.0559  0.0558  0.0571  0.05
Rubinstein 1966   29  0.3812  0.0145  0.0847  0.0871  0.0458  0.06
Schilhawsky 1960   81  0.1090  0.0082  0.0283  0.0266  0.0481  0.03
Shebanova 2002   8  0.466  0.0411  0.188  0.6035  0.4415  0.51
Smith 1975   59  0.2642  0.0069  0.0474  0.0442  0.1454  0.07
Sokolov 2002   56  0.2739  0.0059  0.0652  0.0643  0.1549  0.09
Sztompka 1959   35  0.3729  0.0043  0.0937  0.2149  0.0746  0.12
Tomsic 1995   61  0.2619  0.0037  0.0739  0.1939  0.1343  0.16
Uninsky 1932   22  0.4026  0.0033  0.0926  0.4045  0.0940  0.19
Uninsky 1971   44  0.3221  0.0038  0.0644  0.1538  0.1744  0.16
Wasowski 1980   1  0.573  0.203  0.461  0.822  0.791  0.80
Zak 1937   33  0.3734  0.0046  0.0846  0.0834  0.2745  0.15
Zak 1951   42  0.3338  0.0057  0.0748  0.0744  0.1150  0.09
Random 1   89  -0.0479  0.0088  0.0288  0.0273  0.0388  0.02
Random 2   90  -0.0823  0.0083  0.0285  0.0252  0.0583  0.03
Random 3   88  -0.0365  0.0090  0.0190  0.0166  0.0389  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).