Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.705  0.0415  0.0715  0.3737  0.2427  0.30
Anderszewski 2003   36  0.6553  0.0036  0.0527  0.2718  0.3426  0.30
Ashkenazy 1981   21  0.6812  0.0112  0.0712  0.4126  0.3513  0.38
Bacha 2000   8  0.7220  0.0026  0.0621  0.326  0.5111  0.40
Badura 1965   81  0.4687  0.0079  0.0474  0.0450  0.0673  0.05
Barbosa 1983   60  0.5645  0.0017  0.0630  0.2510  0.5216  0.36
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   34  0.6516  0.0134  0.0538  0.1919  0.3335  0.25
Block 1995   76  0.4841  0.0074  0.0477  0.0466  0.0481  0.04
Blumental 1952   54  0.5825  0.0032  0.0535  0.209  0.3633  0.27
Boshniakovich 1969   57  0.5760  0.0072  0.0471  0.0463  0.0482  0.04
Brailowsky 1960   22  0.6780  0.0053  0.0556  0.0526  0.3351  0.13
Bunin 1987   83  0.4567  0.0085  0.0384  0.0353  0.0583  0.04
Bunin 1987b   84  0.4457  0.0084  0.0388  0.0354  0.0575  0.04
Chiu 1999   38  0.6326  0.0018  0.0523  0.3110  0.5012  0.39
Cohen 1997   73  0.5085  0.0071  0.0470  0.0413  0.3856  0.12
Cortot 1951   31  0.6538  0.0041  0.0634  0.2310  0.4622  0.33
Csalog 1996   58  0.5675  0.0049  0.0646  0.0615  0.4145  0.16
Czerny 1949   48  0.6013  0.0150  0.0554  0.0558  0.0572  0.05
Czerny 1990   15  0.7022  0.0014  0.0818  0.3422  0.3221  0.33
Duchoud 2007   29  0.6514  0.0133  0.0537  0.1919  0.3832  0.27
Ezaki 2006   7  0.728  0.0211  0.0910  0.4527  0.3014  0.37
Falvay 1989   43  0.6244  0.0055  0.0559  0.0524  0.3848  0.14
Farrell 1958   3  0.766  0.025  0.163  0.542  0.592  0.56
Ferenczy 1958   53  0.5846  0.0042  0.0543  0.1328  0.2243  0.17
Fliere 1977   12  0.7064  0.0016  0.0719  0.3441  0.1537  0.23
Fou 1978   28  0.6654  0.0021  0.0628  0.2729  0.3030  0.28
Francois 1956   35  0.6527  0.0031  0.0629  0.2516  0.4423  0.33
Friedman 1923   88  0.3762  0.0087  0.0386  0.0369  0.0585  0.04
Friedman 1923b   87  0.3761  0.0086  0.0383  0.0352  0.0684  0.04
Friedman 1930   85  0.4447  0.0077  0.0382  0.0363  0.0579  0.04
Garcia 2007   41  0.6272  0.0044  0.0641  0.154  0.5529  0.29
Garcia 2007b   69  0.5336  0.0061  0.0569  0.059  0.3453  0.13
Gierzod 1998   19  0.6889  0.0027  0.0631  0.2538  0.2038  0.22
Gornostaeva 1994   30  0.6543  0.0054  0.0568  0.0539  0.1661  0.09
Groot 1988   37  0.6465  0.0056  0.0564  0.0540  0.1862  0.09
Harasiewicz 1955   72  0.5133  0.0045  0.0645  0.1262  0.0466  0.07
Hatto 1993   61  0.5583  0.0038  0.0542  0.1525  0.2541  0.19
Hatto 1997   45  0.617  0.0230  0.0533  0.2418  0.3231  0.28
Horowitz 1949   65  0.5450  0.0078  0.0472  0.0449  0.0577  0.04
Indjic 1988   55  0.5884  0.0037  0.0539  0.1623  0.2839  0.21
Kapell 1951   13  0.7037  0.006  0.165  0.4912  0.437  0.46
Kissin 1993   50  0.6063  0.0057  0.0648  0.0648  0.0667  0.06
Kushner 1989   4  0.7310  0.019  0.147  0.4612  0.485  0.47
Luisada 1991   16  0.7018  0.017  0.119  0.4622  0.429  0.44
Lushtak 2004   26  0.663  0.103  0.216  0.498  0.456  0.47
Malcuzynski 1961   52  0.5868  0.0060  0.0565  0.0568  0.0476  0.04
Magaloff 1978   24  0.6630  0.0051  0.0561  0.0536  0.1858  0.09
Magin 1975   74  0.5091  0.0070  0.0476  0.0466  0.0474  0.04
Michalowski 1933   79  0.4751  0.0066  0.0557  0.0539  0.1860  0.09
Milkina 1970   6  0.722  0.114  0.184  0.5210  0.523  0.52
Mohovich 1999   9  0.7228  0.0022  0.0611  0.4128  0.3218  0.36
Moravec 1969   44  0.6235  0.0039  0.0644  0.128  0.4936  0.24
Morozova 2008   49  0.6071  0.0035  0.0636  0.1932  0.2140  0.20
Neighaus 1950   20  0.6856  0.0029  0.0526  0.2772  0.0457  0.10
Niedzielski 1931   62  0.5534  0.0069  0.0560  0.0535  0.1759  0.09
Ohlsson 1999   5  0.7321  0.008  0.118  0.4620  0.3910  0.42
Osinska 1989   2  0.774  0.092  0.372  0.672  0.671  0.67
Pachmann 1927   77  0.4878  0.0083  0.0385  0.0375  0.0487  0.03
Paderewski 1930   40  0.6266  0.0063  0.0650  0.0625  0.2455  0.12
Perlemuter 1992   47  0.6186  0.0048  0.0652  0.0645  0.0864  0.07
Pierdomenico 2008   56  0.5758  0.0058  0.0647  0.065  0.5142  0.17
Poblocka 1999   39  0.6359  0.0028  0.0522  0.3131  0.2134  0.26
Rabcewiczowa 1932   10  0.7117  0.0110  0.0813  0.397  0.528  0.45
Rachmaninoff 1923   46  0.6149  0.0052  0.0567  0.0554  0.0569  0.05
Rangell 2001   51  0.6031  0.0046  0.0649  0.0613  0.4346  0.16
Richter 1976   86  0.3988  0.0088  0.0475  0.0472  0.0386  0.03
Rosen 1989   11  0.7123  0.0019  0.0620  0.3321  0.4017  0.36
Rosenthal 1930   67  0.5479  0.0076  0.0480  0.0457  0.0480  0.04
Rosenthal 1931   82  0.4682  0.0082  0.0473  0.0456  0.0478  0.04
Rosenthal 1931b   78  0.4876  0.0081  0.0479  0.0443  0.0868  0.06
Rosenthal 1931c   75  0.5029  0.0080  0.0387  0.0356  0.0490  0.03
Rosenthal 1931d   71  0.5132  0.0075  0.0481  0.0438  0.1465  0.07
Rossi 2007   80  0.4670  0.0068  0.0563  0.058  0.4847  0.15
Rubinstein 1939   66  0.5440  0.0073  0.0478  0.0418  0.3554  0.12
Rubinstein 1952   63  0.5574  0.0059  0.0566  0.0527  0.3652  0.13
Rubinstein 1966   23  0.6752  0.0047  0.0558  0.0527  0.3750  0.14
Schilhawsky 1960   64  0.549  0.0162  0.0651  0.0645  0.1263  0.08
Shebanova 2002   18  0.6948  0.0025  0.0625  0.2719  0.4120  0.33
Smith 1975   33  0.6511  0.0113  0.0914  0.3824  0.3319  0.35
Sokolov 2002   17  0.6915  0.0120  0.0524  0.2826  0.3725  0.32
Sztompka 1959   25  0.6655  0.0043  0.0540  0.1642  0.1644  0.16
Tomsic 1995   59  0.5673  0.0065  0.0653  0.0626  0.3449  0.14
Uninsky 1932   68  0.5439  0.0067  0.0562  0.0567  0.0571  0.05
Uninsky 1971   70  0.5269  0.0064  0.0555  0.0557  0.0670  0.05
Wasowski 1980   32  0.6542  0.0040  0.0632  0.258  0.4024  0.32
Zak 1937   27  0.6619  0.0124  0.1016  0.3522  0.3915  0.37
Zak 1951   42  0.6224  0.0023  0.0517  0.3427  0.2428  0.29
Average   1  0.821  0.441  0.431  0.7824  0.354  0.52
Random 1   91  -0.1481  0.0091  0.0191  0.0164  0.0491  0.02
Random 2   90  -0.0377  0.0089  0.0290  0.0247  0.0588  0.03
Random 3   89  -0.0190  0.0090  0.0289  0.0263  0.0489  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).