Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.665  0.037  0.085  0.4541  0.1921  0.29
Anderszewski 2003   21  0.6058  0.0020  0.0826  0.3321  0.2917  0.31
Ashkenazy 1981   4  0.722  0.083  0.332  0.667  0.512  0.58
Bacha 2000   48  0.5441  0.0056  0.0469  0.0450  0.0654  0.05
Badura 1965   45  0.5676  0.0033  0.0929  0.3230  0.3214  0.32
Barbosa 1983   55  0.516  0.0224  0.0539  0.1637  0.1830  0.17
Biret 1990   8  0.6514  0.0121  0.1119  0.3837  0.1923  0.27
Blet 2003   28  0.5849  0.0035  0.0828  0.3254  0.0535  0.13
Block 1995   72  0.4552  0.0072  0.0472  0.0470  0.0383  0.03
Blumental 1952   75  0.4348  0.0064  0.0471  0.0480  0.0284  0.03
Boshniakovich 1969   53  0.5262  0.0065  0.0463  0.0466  0.0470  0.04
Brailowsky 1960   71  0.4569  0.0080  0.0465  0.0477  0.0459  0.04
Bunin 1987   25  0.5971  0.0038  0.1424  0.3421  0.399  0.36
Bunin 1987b   27  0.5873  0.0037  0.1123  0.3522  0.398  0.37
Chiu 1999   58  0.5029  0.0039  0.0638  0.1638  0.1829  0.17
Cohen 1997   87  0.3213  0.0178  0.0373  0.0378  0.0385  0.03
Cortot 1951   13  0.6322  0.0019  0.0714  0.4015  0.415  0.40
Csalog 1996   80  0.3982  0.0053  0.0459  0.0455  0.0568  0.04
Czerny 1949   35  0.577  0.0226  0.0534  0.2859  0.0537  0.12
Czerny 1990   24  0.5923  0.0041  0.0540  0.1560  0.0449  0.08
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   11  0.6350  0.0028  0.0631  0.3244  0.0928  0.17
Falvay 1989   77  0.4280  0.0081  0.0382  0.0375  0.0474  0.03
Farrell 1958   41  0.5610  0.0258  0.0460  0.0474  0.0461  0.04
Ferenczy 1958   61  0.4987  0.0052  0.0552  0.0561  0.0469  0.04
Fliere 1977   5  0.6656  0.008  0.0815  0.3951  0.0534  0.14
Fou 1978   54  0.5243  0.0059  0.0555  0.0581  0.0362  0.04
Francois 1956   56  0.5163  0.0057  0.0466  0.0463  0.0471  0.04
Friedman 1923   79  0.4042  0.0070  0.0550  0.0541  0.1645  0.09
Friedman 1923b   78  0.4067  0.0069  0.0458  0.0442  0.1548  0.08
Friedman 1930   73  0.4420  0.0062  0.0376  0.0380  0.0482  0.03
Garcia 2007   47  0.5585  0.0036  0.0936  0.2325  0.3322  0.28
Garcia 2007b   76  0.4281  0.0063  0.0456  0.0474  0.0389  0.03
Gierzod 1998   14  0.6347  0.0030  0.0633  0.2849  0.0538  0.12
Gornostaeva 1994   34  0.5711  0.0242  0.0637  0.1743  0.1036  0.13
Groot 1988   38  0.5721  0.0025  0.0642  0.1569  0.0450  0.08
Harasiewicz 1955   52  0.5257  0.0029  0.0730  0.3253  0.0441  0.11
Hatto 1993   43  0.5666  0.0018  0.0820  0.3620  0.2915  0.32
Hatto 1997   22  0.6060  0.0010  0.0713  0.4020  0.3111  0.35
Horowitz 1949   60  0.5032  0.0068  0.0374  0.0346  0.0666  0.04
Indjic 1988   31  0.5859  0.0012  0.0617  0.3820  0.3210  0.35
Kapell 1951   9  0.6538  0.0011  0.079  0.4235  0.2020  0.29
Kissin 1993   59  0.5064  0.0067  0.0461  0.0463  0.0467  0.04
Kushner 1989   10  0.6317  0.0134  0.0835  0.2651  0.0540  0.11
Luisada 1991   42  0.5630  0.0049  0.0547  0.0570  0.0458  0.04
Lushtak 2004   26  0.5836  0.0015  0.0712  0.4047  0.0633  0.15
Malcuzynski 1961   44  0.5626  0.0054  0.0462  0.0475  0.0377  0.03
Magaloff 1978   67  0.4774  0.0074  0.0378  0.0388  0.0290  0.02
Magin 1975   16  0.6251  0.0013  0.0616  0.3823  0.2813  0.33
Michalowski 1933   49  0.5412  0.015  0.107  0.4216  0.424  0.42
Milkina 1970   36  0.5784  0.0060  0.0553  0.0584  0.0464  0.04
Mohovich 1999   32  0.5827  0.0045  0.0545  0.1055  0.0552  0.07
Moravec 1969   70  0.4716  0.0179  0.0470  0.0463  0.0457  0.04
Morozova 2008   33  0.5765  0.0032  0.0722  0.3544  0.0831  0.17
Neighaus 1950   12  0.6377  0.0014  0.0718  0.3845  0.0927  0.18
Niedzielski 1931   69  0.4728  0.0075  0.0375  0.0359  0.0476  0.03
Ohlsson 1999   1  0.801  0.561  0.561  0.733  0.621  0.67
Osinska 1989   51  0.5318  0.0061  0.0464  0.0478  0.0372  0.03
Pachmann 1927   84  0.3788  0.0082  0.0384  0.0368  0.0479  0.03
Paderewski 1930   68  0.4786  0.0077  0.0468  0.0489  0.0278  0.03
Perlemuter 1992   50  0.5478  0.0047  0.0646  0.0665  0.0455  0.05
Pierdomenico 2008   65  0.4844  0.0055  0.0467  0.0440  0.1546  0.08
Poblocka 1999   15  0.6354  0.009  0.068  0.4230  0.2316  0.31
Rabcewiczowa 1932   57  0.5133  0.0066  0.0551  0.0574  0.0360  0.04
Rachmaninoff 1923   18  0.6015  0.0127  0.0621  0.3628  0.2319  0.29
Rangell 2001   30  0.589  0.0244  0.0543  0.1210  0.4425  0.23
Richter 1976   62  0.4990  0.0050  0.0548  0.0534  0.1942  0.10
Rosen 1989   39  0.5734  0.0043  0.0741  0.1568  0.0447  0.08
Rosenthal 1930   66  0.4837  0.0051  0.0457  0.0435  0.2044  0.09
Rosenthal 1931   82  0.3891  0.0083  0.0383  0.0360  0.0480  0.03
Rosenthal 1931b   85  0.3553  0.0086  0.0287  0.0272  0.0391  0.02
Rosenthal 1931c   74  0.4461  0.0076  0.0377  0.0353  0.0487  0.03
Rosenthal 1931d   83  0.3746  0.0087  0.0385  0.0365  0.0486  0.03
Rossi 2007   88  0.2575  0.0088  0.0381  0.0374  0.0473  0.03
Rubinstein 1939   81  0.3824  0.0085  0.0288  0.0262  0.0475  0.03
Rubinstein 1952   86  0.3535  0.0084  0.0289  0.0274  0.0488  0.03
Rubinstein 1966   63  0.4925  0.0073  0.0380  0.0369  0.0481  0.03
Schilhawsky 1960   23  0.6031  0.0016  0.0811  0.4236  0.2712  0.34
Shebanova 2002   20  0.608  0.0223  0.0532  0.3135  0.1824  0.24
Smith 1975   17  0.6219  0.0022  0.0727  0.3334  0.1526  0.22
Sokolov 2002   2  0.763  0.052  0.314  0.552  0.573  0.56
Sztompka 1959   6  0.6645  0.006  0.086  0.4525  0.326  0.38
Tomsic 1995   64  0.4940  0.0071  0.0379  0.0350  0.0565  0.04
Uninsky 1932   29  0.5872  0.0031  0.0725  0.3431  0.2918  0.31
Uninsky 1971   19  0.6055  0.0017  0.0910  0.4229  0.347  0.38
Wasowski 1980   37  0.5739  0.0040  0.0544  0.1079  0.0453  0.06
Zak 1937   40  0.5670  0.0048  0.0554  0.0566  0.0463  0.04
Zak 1951   46  0.5668  0.0046  0.0549  0.0566  0.0556  0.05
Average   3  0.744  0.044  0.363  0.6264  0.0432  0.16
Random 1   91  -0.0783  0.0091  0.0191  0.0112  0.4351  0.07
Random 2   90  -0.0189  0.0090  0.0290  0.029  0.4143  0.09
Random 3   89  0.1579  0.0089  0.0286  0.021  0.7039  0.12

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).