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  0.2641  0.0065  0.0468  0.0471  0.0469  0.04
Anderszewski 2003   71  0.2220  0.0153  0.0656  0.0674  0.0365  0.04
Ashkenazy 1981   9  0.3932  0.0019  0.1116  0.4541  0.1912  0.29
Bacha 2000   59  0.2633  0.0061  0.0481  0.0470  0.0454  0.04
Badura 1965   62  0.2572  0.0032  0.0831  0.2527  0.2915  0.27
Barbosa 1983   66  0.2489  0.0072  0.0748  0.0787  0.0264  0.04
Biret 1990   23  0.3461  0.0031  0.0724  0.3349  0.0629  0.14
Blet 2003   50  0.2953  0.0048  0.0651  0.0653  0.0552  0.05
Block 1995   76  0.1973  0.0066  0.0472  0.0483  0.0380  0.03
Blumental 1952   82  0.1376  0.0086  0.0383  0.0384  0.0381  0.03
Boshniakovich 1969   45  0.2942  0.0043  0.0541  0.1073  0.0448  0.06
Brailowsky 1960   83  0.1290  0.0084  0.0386  0.0379  0.0476  0.03
Bunin 1987   39  0.3049  0.0012  0.1517  0.4326  0.3510  0.39
Bunin 1987b   38  0.319  0.0210  0.1814  0.4723  0.429  0.44
Chiu 1999   2  0.454  0.123  0.231  0.735  0.581  0.65
Cohen 1997   61  0.2523  0.0069  0.0471  0.0470  0.0382  0.03
Cortot 1951   81  0.1680  0.0082  0.0477  0.0480  0.0284  0.03
Csalog 1996   11  0.3922  0.008  0.147  0.6210  0.496  0.55
Czerny 1949   63  0.2463  0.0075  0.0473  0.0474  0.0468  0.04
Czerny 1990   21  0.3455  0.0041  0.0439  0.1362  0.0543  0.08
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   75  0.2083  0.0074  0.0475  0.0478  0.0453  0.04
Falvay 1989   27  0.3359  0.0034  0.0732  0.2372  0.0437  0.10
Farrell 1958   5  0.425  0.065  0.235  0.658  0.552  0.60
Ferenczy 1958   87  0.0477  0.0087  0.0287  0.0287  0.0286  0.02
Fliere 1977   12  0.3836  0.009  0.196  0.6252  0.0619  0.19
Fou 1978   41  0.3067  0.0052  0.0652  0.0679  0.0360  0.04
Francois 1956   55  0.2734  0.0062  0.0476  0.0454  0.0474  0.04
Friedman 1923   49  0.2956  0.0040  0.0444  0.0960  0.0545  0.07
Friedman 1923b   47  0.2937  0.0038  0.0538  0.1341  0.1627  0.14
Friedman 1930   26  0.3311  0.0126  0.0826  0.3232  0.2413  0.28
Garcia 2007   43  0.2945  0.0045  0.0749  0.0753  0.0547  0.06
Garcia 2007b   36  0.3244  0.0030  0.0729  0.3044  0.1023  0.17
Gierzod 1998   78  0.1885  0.0076  0.0474  0.0488  0.0279  0.03
Gornostaeva 1994   37  0.3165  0.0035  0.0835  0.2244  0.0928  0.14
Groot 1988   18  0.3613  0.0118  0.0918  0.4363  0.0432  0.13
Harasiewicz 1955   65  0.2488  0.0070  0.0561  0.0579  0.0472  0.04
Hatto 1993   15  0.3724  0.0017  0.1020  0.4052  0.0722  0.17
Hatto 1997   22  0.3429  0.0028  0.0733  0.2258  0.0538  0.10
Horowitz 1949   68  0.2351  0.0058  0.0562  0.0567  0.0461  0.04
Indjic 1988   17  0.3660  0.0024  0.1021  0.3570  0.0530  0.13
Kapell 1951   10  0.3935  0.0013  0.1110  0.5449  0.0720  0.19
Kissin 1993   42  0.3068  0.0036  0.0636  0.1458  0.0641  0.09
Kushner 1989   6  0.416  0.056  0.148  0.6041  0.1214  0.27
Luisada 1991   53  0.2828  0.0057  0.0559  0.0557  0.0650  0.05
Lushtak 2004   33  0.3227  0.0021  0.0922  0.3462  0.0531  0.13
Malcuzynski 1961   60  0.2625  0.0050  0.0846  0.0872  0.0446  0.06
Magaloff 1978   52  0.2884  0.0054  0.0654  0.0670  0.0357  0.04
Magin 1975   35  0.3217  0.0137  0.0637  0.1464  0.0444  0.07
Michalowski 1933   67  0.2326  0.0049  0.0845  0.0834  0.2526  0.14
Milkina 1970   25  0.3375  0.0027  0.0725  0.3351  0.0625  0.14
Mohovich 1999   70  0.2339  0.0056  0.0565  0.0585  0.0371  0.04
Moravec 1969   48  0.2958  0.0060  0.0650  0.0685  0.0275  0.03
Morozova 2008   8  0.3915  0.017  0.169  0.5925  0.427  0.50
Neighaus 1950   30  0.338  0.0222  0.0830  0.3061  0.0435  0.11
Niedzielski 1931   64  0.2443  0.0059  0.0558  0.0573  0.0459  0.04
Ohlsson 1999   1  0.463  0.134  0.194  0.6819  0.368  0.49
Osinska 1989   28  0.3314  0.0120  0.0923  0.3448  0.0624  0.14
Pachmann 1927   31  0.3250  0.0047  0.0847  0.0836  0.1833  0.12
Paderewski 1930   80  0.1682  0.0079  0.0469  0.0463  0.0462  0.04
Perlemuter 1992   73  0.2147  0.0071  0.0560  0.0573  0.0455  0.04
Pierdomenico 2008   7  0.4018  0.0114  0.0911  0.544  0.585  0.56
Poblocka 1999   40  0.3071  0.0044  0.0542  0.0945  0.0842  0.08
Rabcewiczowa 1932   54  0.2857  0.0067  0.0467  0.0482  0.0377  0.03
Rachmaninoff 1923   46  0.2938  0.0033  0.0834  0.2255  0.0536  0.10
Rangell 2001   20  0.3510  0.0225  0.0827  0.3140  0.1916  0.24
Richter 1976   13  0.3819  0.0115  0.0912  0.5149  0.0621  0.17
Rosen 1989   4  0.442  0.192  0.212  0.7210  0.503  0.60
Rosenthal 1930   74  0.2166  0.0078  0.0478  0.0477  0.0470  0.04
Rosenthal 1931   86  0.0881  0.0085  0.0384  0.0386  0.0285  0.02
Rosenthal 1931b   84  0.1186  0.0081  0.0385  0.0385  0.0289  0.02
Rosenthal 1931c   77  0.1964  0.0073  0.0564  0.0568  0.0473  0.04
Rosenthal 1931d   85  0.1087  0.0083  0.0479  0.0478  0.0383  0.03
Rossi 2007   72  0.2279  0.0063  0.0470  0.0437  0.2239  0.09
Rubinstein 1939   19  0.3531  0.0023  0.0719  0.4239  0.1118  0.21
Rubinstein 1952   34  0.3269  0.0039  0.0443  0.0961  0.0449  0.06
Rubinstein 1966   16  0.3621  0.0029  0.0728  0.3169  0.0434  0.11
Schilhawsky 1960   79  0.1762  0.0080  0.0480  0.0475  0.0466  0.04
Shebanova 2002   3  0.441  0.211  0.203  0.7225  0.454  0.57
Smith 1975   69  0.2354  0.0077  0.0566  0.0571  0.0458  0.04
Sokolov 2002   51  0.2870  0.0064  0.0482  0.0463  0.0456  0.04
Sztompka 1959   44  0.2952  0.0055  0.0563  0.0567  0.0463  0.04
Tomsic 1995   32  0.327  0.0411  0.1415  0.4633  0.2211  0.32
Uninsky 1932   57  0.2716  0.0151  0.0653  0.0678  0.0367  0.04
Uninsky 1971   56  0.2740  0.0068  0.0657  0.0685  0.0278  0.03
Wasowski 1980   14  0.3812  0.0116  0.1213  0.4841  0.1117  0.23
Zak 1937   24  0.3430  0.0042  0.0540  0.1147  0.0740  0.09
Zak 1951   29  0.3378  0.0046  0.0655  0.0660  0.0551  0.05
Random 1   89  -0.0774  0.0090  0.0190  0.0176  0.0290  0.01
Random 2   90  -0.0748  0.0088  0.0188  0.0159  0.0587  0.02
Random 3   88  0.0046  0.0089  0.0189  0.0147  0.0588  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).