Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   80  0.2887  0.0084  0.0288  0.0275  0.0391  0.02
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   67  0.3671  0.0070  0.0472  0.0441  0.1368  0.07
Bacha 2000   54  0.4319  0.0144  0.0843  0.156  0.5642  0.29
Badura 1965   39  0.4838  0.0042  0.0938  0.276  0.5535  0.39
Barbosa 1983   6  0.6218  0.017  0.183  0.725  0.712  0.71
Biret 1990   34  0.5064  0.0046  0.0946  0.0940  0.1357  0.11
Blet 2003   63  0.3972  0.0068  0.0565  0.0546  0.0772  0.06
Block 1995   17  0.5616  0.0129  0.1227  0.456  0.6820  0.55
Blumental 1952   46  0.4555  0.0055  0.0659  0.0657  0.0675  0.06
Boshniakovich 1969   31  0.5113  0.0113  0.1413  0.579  0.5617  0.56
Brailowsky 1960   19  0.559  0.0230  0.1133  0.3415  0.5629  0.44
Bunin 1987   32  0.5067  0.0037  0.1034  0.334  0.6228  0.45
Bunin 1987b   37  0.4950  0.0040  0.0740  0.236  0.6039  0.37
Chiu 1999   66  0.3745  0.0067  0.0566  0.0543  0.1364  0.08
Cohen 1997   72  0.3344  0.0069  0.0467  0.0434  0.1565  0.08
Cortot 1951   70  0.3425  0.0060  0.0661  0.0623  0.4449  0.16
Csalog 1996   50  0.4446  0.0056  0.0657  0.0646  0.0771  0.06
Czerny 1949   24  0.5422  0.0012  0.1414  0.5715  0.6711  0.62
Czerny 1990   5  0.626  0.032  0.212  0.748  0.761  0.75
Duchoud 2007   82  0.2529  0.0071  0.0473  0.0430  0.4353  0.13
Ezaki 2006   10  0.598  0.0220  0.1015  0.5615  0.5418  0.55
Falvay 1989   2  0.634  0.0510  0.184  0.689  0.665  0.67
Farrell 1958   48  0.4576  0.0041  0.0839  0.2620  0.4941  0.36
Ferenczy 1958   59  0.4156  0.0063  0.0469  0.0430  0.3955  0.12
Fliere 1977   12  0.5811  0.0116  0.1117  0.5218  0.5024  0.51
Fou 1978   25  0.5347  0.0032  0.1428  0.4418  0.4430  0.44
Francois 1956   85  0.2477  0.0083  0.0384  0.0361  0.0585  0.04
Friedman 1923   73  0.3352  0.0075  0.0376  0.0341  0.1376  0.06
Friedman 1923b   75  0.3353  0.0076  0.0377  0.0346  0.0778  0.05
Friedman 1930   77  0.3178  0.0074  0.0374  0.0351  0.0683  0.04
Garcia 2007   69  0.3473  0.0066  0.0654  0.0632  0.3352  0.14
Garcia 2007b   64  0.3935  0.0034  0.0644  0.1327  0.3845  0.22
Gierzod 1998   21  0.5436  0.0022  0.1218  0.5228  0.3532  0.43
Gornostaeva 1994   20  0.5434  0.0017  0.0920  0.508  0.6021  0.55
Groot 1988   57  0.4237  0.0050  0.0847  0.0832  0.2054  0.13
Harasiewicz 1955   8  0.615  0.0411  0.1811  0.6116  0.6013  0.60
Hatto 1993   23  0.5428  0.0019  0.1224  0.4816  0.5025  0.49
Hatto 1997   30  0.5239  0.0028  0.1429  0.4319  0.4531  0.44
Horowitz 1949   78  0.3179  0.0080  0.0379  0.0350  0.0682  0.04
Indjic 1988   29  0.5380  0.0027  0.1326  0.4521  0.4927  0.47
Kapell 1951   4  0.633  0.066  0.247  0.667  0.714  0.68
Kissin 1993   22  0.5481  0.0025  0.1225  0.4710  0.6716  0.56
Kushner 1989   3  0.6320  0.014  0.156  0.668  0.657  0.65
Luisada 1991   52  0.4357  0.0064  0.0562  0.0538  0.2058  0.10
Lushtak 2004   16  0.5621  0.0021  0.1119  0.519  0.5919  0.55
Malcuzynski 1961   14  0.572  0.103  0.1810  0.636  0.648  0.63
Magaloff 1978   27  0.5349  0.0035  0.0637  0.2919  0.4738  0.37
Magin 1975   45  0.4674  0.0049  0.0564  0.0536  0.2059  0.10
Michalowski 1933   88  0.1488  0.0088  0.0285  0.0255  0.0488  0.03
Milkina 1970   11  0.597  0.025  0.219  0.6310  0.619  0.62
Mohovich 1999   26  0.5358  0.0031  0.1031  0.3626  0.4236  0.39
Moravec 1969   18  0.5643  0.0024  0.1022  0.496  0.6515  0.56
Morozova 2008   42  0.4751  0.0026  0.1030  0.4215  0.5426  0.48
Neighaus 1950   74  0.3389  0.0073  0.0375  0.0335  0.1966  0.08
Niedzielski 1931   79  0.2959  0.0081  0.0468  0.0457  0.0581  0.04
Ohlsson 1999   56  0.4265  0.0043  0.0842  0.1728  0.3843  0.25
Osinska 1989   13  0.5810  0.018  0.175  0.6816  0.626  0.65
Pachmann 1927   84  0.2482  0.0085  0.0382  0.0342  0.1370  0.06
Paderewski 1930   87  0.1668  0.0087  0.0380  0.0359  0.0487  0.03
Perlemuter 1992   83  0.2569  0.0086  0.0286  0.0269  0.0486  0.03
Pierdomenico 2008   86  0.2390  0.0082  0.0383  0.0346  0.0680  0.04
Poblocka 1999   9  0.6026  0.0014  0.1812  0.609  0.6312  0.61
Rabcewiczowa 1932   65  0.3848  0.0052  0.0749  0.0755  0.0569  0.06
Rachmaninoff 1923   44  0.4670  0.0047  0.0658  0.0628  0.3650  0.15
Rangell 2001   51  0.4360  0.0048  0.0660  0.0620  0.4647  0.17
Richter 1976   28  0.5341  0.0023  0.1021  0.5010  0.6714  0.58
Rosen 1989   55  0.4254  0.0054  0.0563  0.0540  0.2356  0.11
Rosenthal 1930   71  0.3475  0.0079  0.0381  0.0342  0.1374  0.06
Rosenthal 1931   61  0.3942  0.0065  0.0656  0.0617  0.4548  0.16
Rosenthal 1931b   68  0.3583  0.0072  0.0471  0.0431  0.2562  0.10
Rosenthal 1931c   60  0.4030  0.0062  0.0470  0.0429  0.2763  0.10
Rosenthal 1931d   76  0.3284  0.0078  0.0287  0.0252  0.0689  0.03
Rossi 2007   81  0.2861  0.0077  0.0378  0.0352  0.0579  0.04
Rubinstein 1939   35  0.4932  0.0038  0.0836  0.3120  0.4637  0.38
Rubinstein 1952   15  0.5617  0.0118  0.1016  0.5619  0.5323  0.54
Rubinstein 1966   7  0.6112  0.019  0.258  0.6621  0.5810  0.62
Schilhawsky 1960   62  0.3914  0.0161  0.0848  0.0845  0.1360  0.10
Shebanova 2002   58  0.4262  0.0057  0.0653  0.0646  0.0773  0.06
Smith 1975   41  0.4740  0.0053  0.0751  0.0733  0.2951  0.14
Sokolov 2002   53  0.4363  0.0051  0.0752  0.0716  0.5046  0.19
Sztompka 1959   40  0.4824  0.0015  0.1323  0.4916  0.5922  0.54
Tomsic 1995   38  0.4827  0.0045  0.0645  0.1220  0.4544  0.23
Uninsky 1932   49  0.4431  0.0039  0.0741  0.2212  0.6340  0.37
Uninsky 1971   36  0.4985  0.0036  0.0635  0.3222  0.5034  0.40
Wasowski 1980   33  0.5023  0.0033  0.0632  0.3620  0.4833  0.42
Zak 1937   43  0.4615  0.0158  0.0750  0.0746  0.0767  0.07
Zak 1951   47  0.4566  0.0059  0.0655  0.0665  0.0477  0.05
Average   1  0.711  0.521  0.521  0.8618  0.593  0.71
Random 1   89  0.0233  0.0089  0.0289  0.022  0.5561  0.10
Random 2   90  -0.0186  0.0091  0.0191  0.0170  0.0390  0.02
Random 3   91  -0.0891  0.0090  0.0190  0.0142  0.1484  0.04

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).