Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.2642  0.0066  0.0469  0.0472  0.0468  0.04
Anderszewski 2003   72  0.2221  0.0054  0.0657  0.0675  0.0364  0.04
Ashkenazy 1981   10  0.3933  0.0020  0.1117  0.4542  0.1912  0.29
Bacha 2000   60  0.2634  0.0062  0.0482  0.0471  0.0455  0.04
Badura 1965   63  0.2572  0.0033  0.0832  0.2528  0.2915  0.27
Barbosa 1983   67  0.2490  0.0073  0.0649  0.0688  0.0279  0.03
Biret 1990   24  0.3460  0.0032  0.0725  0.3350  0.0630  0.14
Blet 2003   51  0.2954  0.0049  0.0652  0.0654  0.0552  0.05
Block 1995   77  0.1973  0.0067  0.0473  0.0484  0.0381  0.03
Blumental 1952   83  0.1377  0.0087  0.0384  0.0385  0.0382  0.03
Boshniakovich 1969   46  0.2943  0.0044  0.0542  0.1074  0.0448  0.06
Brailowsky 1960   84  0.1291  0.0085  0.0387  0.0380  0.0375  0.03
Bunin 1987   40  0.3050  0.0013  0.1518  0.4327  0.3510  0.39
Bunin 1987b   39  0.3110  0.0211  0.1815  0.4724  0.429  0.44
Chiu 1999   3  0.455  0.044  0.232  0.736  0.581  0.65
Cohen 1997   62  0.2523  0.0070  0.0472  0.0471  0.0383  0.03
Cortot 1951   82  0.1681  0.0083  0.0478  0.0481  0.0285  0.03
Csalog 1996   12  0.3928  0.009  0.148  0.6211  0.496  0.55
Czerny 1949   64  0.2463  0.0076  0.0474  0.0475  0.0467  0.04
Czerny 1990   22  0.3455  0.0042  0.0440  0.1363  0.0544  0.08
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   76  0.2084  0.0075  0.0476  0.0479  0.0454  0.04
Falvay 1989   28  0.3361  0.0035  0.0733  0.2373  0.0438  0.10
Farrell 1958   6  0.427  0.036  0.226  0.659  0.552  0.60
Ferenczy 1958   88  0.0478  0.0088  0.0288  0.0288  0.0287  0.02
Fliere 1977   13  0.3837  0.0010  0.197  0.6253  0.0619  0.19
Fou 1978   42  0.3068  0.0053  0.0653  0.0680  0.0360  0.04
Francois 1956   56  0.2735  0.0063  0.0477  0.0455  0.0473  0.04
Friedman 1923   50  0.2956  0.0041  0.0445  0.0961  0.0546  0.07
Friedman 1923b   48  0.2938  0.0039  0.0539  0.1342  0.1628  0.14
Friedman 1930   27  0.3311  0.0127  0.0827  0.3233  0.2413  0.28
Garcia 2007   44  0.2945  0.0046  0.0650  0.0654  0.0553  0.05
Garcia 2007b   37  0.3244  0.0031  0.0730  0.3045  0.1023  0.17
Gierzod 1998   79  0.1886  0.0077  0.0475  0.0489  0.0280  0.03
Gornostaeva 1994   38  0.3165  0.0036  0.0836  0.2245  0.0929  0.14
Groot 1988   19  0.3614  0.0119  0.0919  0.4364  0.0432  0.13
Harasiewicz 1955   66  0.2489  0.0071  0.0562  0.0580  0.0471  0.04
Hatto 1993   16  0.3724  0.0018  0.1021  0.4053  0.0722  0.17
Hatto 1997   23  0.3432  0.0029  0.0734  0.2259  0.0539  0.10
Horowitz 1949   69  0.2352  0.0059  0.0563  0.0568  0.0461  0.04
Indjic 1988   18  0.3659  0.0025  0.1022  0.3571  0.0531  0.13
Kapell 1951   11  0.3936  0.0014  0.1111  0.5450  0.0720  0.19
Kissin 1993   43  0.3069  0.0037  0.0637  0.1459  0.0642  0.09
Kushner 1989   7  0.418  0.027  0.149  0.6042  0.1214  0.27
Luisada 1991   54  0.2827  0.0058  0.0560  0.0558  0.0650  0.05
Lushtak 2004   34  0.3226  0.0022  0.0923  0.3463  0.0433  0.12
Malcuzynski 1961   61  0.2630  0.0051  0.0847  0.0873  0.0447  0.06
Magaloff 1978   53  0.2885  0.0055  0.0655  0.0671  0.0357  0.04
Magin 1975   36  0.3217  0.0138  0.0638  0.1465  0.0445  0.07
Michalowski 1933   68  0.2325  0.0050  0.0846  0.0835  0.2527  0.14
Milkina 1970   26  0.3376  0.0028  0.0726  0.3352  0.0626  0.14
Mohovich 1999   71  0.2341  0.0057  0.0566  0.0586  0.0370  0.04
Moravec 1969   49  0.2957  0.0061  0.0651  0.0686  0.0274  0.03
Morozova 2008   9  0.3918  0.018  0.1610  0.5926  0.427  0.50
Neighaus 1950   31  0.339  0.0223  0.0831  0.3062  0.0436  0.11
Niedzielski 1931   65  0.2446  0.0060  0.0559  0.0574  0.0459  0.04
Ohlsson 1999   2  0.464  0.075  0.195  0.6820  0.368  0.49
Osinska 1989   29  0.3315  0.0121  0.0924  0.3449  0.0625  0.14
Pachmann 1927   32  0.3251  0.0048  0.0748  0.0737  0.1834  0.11
Paderewski 1930   81  0.1683  0.0080  0.0470  0.0464  0.0462  0.04
Perlemuter 1992   74  0.2148  0.0072  0.0561  0.0574  0.0456  0.04
Pierdomenico 2008   8  0.4019  0.0115  0.0912  0.545  0.585  0.56
Poblocka 1999   41  0.3074  0.0045  0.0543  0.0946  0.0843  0.08
Rabcewiczowa 1932   55  0.2858  0.0068  0.0468  0.0483  0.0377  0.03
Rachmaninoff 1923   47  0.2939  0.0034  0.0835  0.2256  0.0537  0.10
Rangell 2001   21  0.3512  0.0126  0.0828  0.3141  0.1916  0.24
Richter 1976   14  0.3820  0.0016  0.0813  0.5150  0.0621  0.17
Rosen 1989   5  0.443  0.093  0.213  0.7211  0.503  0.60
Rosenthal 1930   75  0.2167  0.0079  0.0479  0.0478  0.0469  0.04
Rosenthal 1931   87  0.0882  0.0086  0.0385  0.0387  0.0286  0.02
Rosenthal 1931b   85  0.1187  0.0082  0.0386  0.0386  0.0290  0.02
Rosenthal 1931c   78  0.1964  0.0074  0.0565  0.0569  0.0472  0.04
Rosenthal 1931d   86  0.1088  0.0084  0.0480  0.0479  0.0384  0.03
Rossi 2007   73  0.2280  0.0064  0.0471  0.0438  0.2240  0.09
Rubinstein 1939   20  0.3531  0.0024  0.0720  0.4240  0.1118  0.21
Rubinstein 1952   35  0.3270  0.0040  0.0444  0.0962  0.0449  0.06
Rubinstein 1966   17  0.3622  0.0030  0.0729  0.3170  0.0435  0.11
Schilhawsky 1960   80  0.1762  0.0081  0.0481  0.0476  0.0465  0.04
Shebanova 2002   4  0.442  0.122  0.204  0.7226  0.454  0.57
Smith 1975   70  0.2366  0.0078  0.0467  0.0472  0.0458  0.04
Sokolov 2002   52  0.2871  0.0065  0.0383  0.0364  0.0476  0.03
Sztompka 1959   45  0.2953  0.0056  0.0564  0.0568  0.0463  0.04
Tomsic 1995   33  0.326  0.0412  0.1316  0.4634  0.2211  0.32
Uninsky 1932   58  0.2716  0.0152  0.0654  0.0679  0.0366  0.04
Uninsky 1971   57  0.2740  0.0069  0.0558  0.0586  0.0278  0.03
Wasowski 1980   15  0.3813  0.0117  0.1114  0.4842  0.1117  0.23
Zak 1937   25  0.3429  0.0043  0.0541  0.1148  0.0741  0.09
Zak 1951   30  0.3379  0.0047  0.0656  0.0661  0.0551  0.05
Average   1  0.511  0.401  0.401  0.8280  0.0324  0.16
Random 1   90  -0.0775  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   91  -0.0749  0.0089  0.0189  0.0159  0.0588  0.02
Random 3   89  0.0047  0.0090  0.0190  0.0148  0.0589  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).