Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.705  0.0414  0.0714  0.3736  0.2426  0.30
Anderszewski 2003   35  0.6526  0.0035  0.0526  0.2717  0.3425  0.30
Ashkenazy 1981   20  0.6811  0.0111  0.0711  0.4125  0.3512  0.38
Bacha 2000   7  0.7220  0.0125  0.0620  0.325  0.5110  0.40
Badura 1965   80  0.4686  0.0078  0.0473  0.0449  0.0672  0.05
Barbosa 1983   59  0.5638  0.0016  0.0629  0.259  0.5215  0.36
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   33  0.6516  0.0133  0.0537  0.1918  0.3334  0.25
Block 1995   75  0.4845  0.0073  0.0476  0.0465  0.0480  0.04
Blumental 1952   53  0.5828  0.0031  0.0534  0.208  0.3632  0.27
Boshniakovich 1969   56  0.5760  0.0071  0.0470  0.0462  0.0481  0.04
Brailowsky 1960   21  0.6780  0.0052  0.0555  0.0525  0.3350  0.13
Bunin 1987   82  0.4567  0.0084  0.0383  0.0352  0.0582  0.04
Bunin 1987b   83  0.4457  0.0083  0.0387  0.0353  0.0574  0.04
Chiu 1999   37  0.6329  0.0017  0.0522  0.319  0.5011  0.39
Cohen 1997   72  0.5084  0.0070  0.0469  0.0413  0.3855  0.12
Cortot 1951   30  0.6540  0.0040  0.0633  0.239  0.4621  0.33
Csalog 1996   57  0.5674  0.0048  0.0645  0.0614  0.4144  0.16
Czerny 1949   47  0.6013  0.0149  0.0553  0.0557  0.0571  0.05
Czerny 1990   14  0.7021  0.0113  0.0817  0.3421  0.3220  0.33
Duchoud 2007   28  0.6514  0.0132  0.0536  0.1918  0.3831  0.27
Ezaki 2006   6  0.729  0.0210  0.099  0.4526  0.3013  0.37
Falvay 1989   42  0.6248  0.0054  0.0558  0.0523  0.3847  0.14
Farrell 1958   2  0.764  0.094  0.162  0.541  0.592  0.56
Ferenczy 1958   52  0.5849  0.0041  0.0542  0.1327  0.2242  0.17
Fliere 1977   11  0.7063  0.0015  0.0718  0.3440  0.1536  0.23
Fou 1978   27  0.6655  0.0020  0.0627  0.2728  0.3029  0.28
Francois 1956   34  0.6530  0.0030  0.0628  0.2515  0.4422  0.33
Friedman 1923   87  0.3762  0.0086  0.0385  0.0368  0.0584  0.04
Friedman 1923b   86  0.3761  0.0085  0.0382  0.0351  0.0683  0.04
Friedman 1930   84  0.4451  0.0076  0.0381  0.0362  0.0578  0.04
Garcia 2007   40  0.6271  0.0043  0.0640  0.153  0.5528  0.29
Garcia 2007b   68  0.5339  0.0060  0.0568  0.058  0.3452  0.13
Gierzod 1998   18  0.6888  0.0026  0.0630  0.2537  0.2037  0.22
Gornostaeva 1994   29  0.6547  0.0053  0.0567  0.0538  0.1660  0.09
Groot 1988   36  0.6465  0.0055  0.0563  0.0539  0.1861  0.09
Harasiewicz 1955   71  0.5134  0.0044  0.0644  0.1261  0.0465  0.07
Hatto 1993   60  0.5575  0.0037  0.0541  0.1524  0.2540  0.19
Hatto 1997   44  0.618  0.0229  0.0532  0.2417  0.3230  0.28
Horowitz 1949   64  0.5442  0.0077  0.0471  0.0448  0.0576  0.04
Indjic 1988   54  0.5883  0.0036  0.0538  0.1622  0.2838  0.21
Kapell 1951   12  0.7027  0.005  0.164  0.4911  0.436  0.46
Kissin 1993   49  0.6064  0.0056  0.0647  0.0647  0.0666  0.06
Kushner 1989   3  0.737  0.028  0.146  0.4611  0.484  0.47
Luisada 1991   15  0.7012  0.016  0.128  0.4621  0.428  0.44
Lushtak 2004   25  0.663  0.102  0.225  0.497  0.455  0.47
Malcuzynski 1961   51  0.5868  0.0059  0.0564  0.0567  0.0475  0.04
Magaloff 1978   23  0.6633  0.0050  0.0560  0.0535  0.1857  0.09
Magin 1975   73  0.5090  0.0069  0.0475  0.0465  0.0473  0.04
Michalowski 1933   78  0.4754  0.0065  0.0556  0.0538  0.1859  0.09
Milkina 1970   5  0.722  0.153  0.193  0.529  0.523  0.52
Mohovich 1999   8  0.7231  0.0021  0.0610  0.4127  0.3217  0.36
Moravec 1969   43  0.6237  0.0038  0.0643  0.127  0.4935  0.24
Morozova 2008   48  0.6070  0.0034  0.0635  0.1931  0.2139  0.20
Neighaus 1950   19  0.6846  0.0028  0.0525  0.2771  0.0456  0.10
Niedzielski 1931   61  0.5536  0.0068  0.0559  0.0534  0.1758  0.09
Ohlsson 1999   4  0.7319  0.017  0.117  0.4619  0.399  0.42
Osinska 1989   1  0.771  0.371  0.371  0.671  0.671  0.67
Pachmann 1927   76  0.4878  0.0082  0.0384  0.0374  0.0486  0.03
Paderewski 1930   39  0.6266  0.0062  0.0649  0.0624  0.2454  0.12
Perlemuter 1992   46  0.6185  0.0047  0.0651  0.0644  0.0863  0.07
Pierdomenico 2008   55  0.5759  0.0057  0.0646  0.064  0.5141  0.17
Poblocka 1999   38  0.6322  0.0027  0.0521  0.3130  0.2133  0.26
Rabcewiczowa 1932   9  0.7117  0.019  0.0812  0.396  0.527  0.45
Rachmaninoff 1923   45  0.6152  0.0051  0.0566  0.0553  0.0568  0.05
Rangell 2001   50  0.6023  0.0045  0.0648  0.0612  0.4345  0.16
Richter 1976   85  0.3987  0.0087  0.0474  0.0471  0.0385  0.03
Rosen 1989   10  0.7124  0.0018  0.0619  0.3320  0.4016  0.36
Rosenthal 1930   66  0.5479  0.0075  0.0479  0.0456  0.0479  0.04
Rosenthal 1931   81  0.4682  0.0081  0.0472  0.0455  0.0477  0.04
Rosenthal 1931b   77  0.4876  0.0080  0.0478  0.0442  0.0867  0.06
Rosenthal 1931c   74  0.5032  0.0079  0.0386  0.0355  0.0489  0.03
Rosenthal 1931d   70  0.5135  0.0074  0.0480  0.0437  0.1464  0.07
Rossi 2007   79  0.4669  0.0067  0.0562  0.058  0.4846  0.15
Rubinstein 1939   65  0.5443  0.0072  0.0477  0.0417  0.3553  0.12
Rubinstein 1952   62  0.5573  0.0058  0.0565  0.0526  0.3651  0.13
Rubinstein 1966   22  0.6753  0.0046  0.0557  0.0526  0.3749  0.14
Schilhawsky 1960   63  0.5410  0.0161  0.0650  0.0644  0.1262  0.08
Shebanova 2002   17  0.6950  0.0024  0.0624  0.2718  0.4119  0.33
Smith 1975   32  0.656  0.0212  0.0913  0.3823  0.3318  0.35
Sokolov 2002   16  0.6915  0.0119  0.0523  0.2825  0.3724  0.32
Sztompka 1959   24  0.6656  0.0042  0.0539  0.1641  0.1643  0.16
Tomsic 1995   58  0.5672  0.0064  0.0652  0.0625  0.3448  0.14
Uninsky 1932   67  0.5441  0.0066  0.0561  0.0566  0.0570  0.05
Uninsky 1971   69  0.5258  0.0063  0.0554  0.0556  0.0669  0.05
Wasowski 1980   31  0.6544  0.0039  0.0631  0.257  0.4023  0.32
Zak 1937   26  0.6618  0.0123  0.1015  0.3521  0.3914  0.37
Zak 1951   41  0.6225  0.0022  0.0616  0.3426  0.2427  0.29
Random 1   90  -0.1481  0.0090  0.0190  0.0165  0.0390  0.02
Random 2   89  -0.0377  0.0088  0.0289  0.0246  0.0587  0.03
Random 3   88  -0.0189  0.0089  0.0288  0.0264  0.0488  0.03

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).