Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.4343  0.0021  0.0815  0.488  0.6213  0.55
Anderszewski 2003   10  0.465  0.044  0.154  0.682  0.751  0.71
Ashkenazy 1981   38  0.3848  0.0049  0.0566  0.0543  0.1664  0.09
Bacha 2000   20  0.4326  0.0024  0.0918  0.442  0.7211  0.56
Badura 1965   32  0.3920  0.0027  0.0828  0.313  0.6621  0.45
Barbosa 1983   28  0.4163  0.0037  0.0830  0.2940  0.2037  0.24
Biret 1990   84  0.1876  0.0084  0.0380  0.0376  0.0387  0.03
Blet 2003   80  0.2246  0.0081  0.0385  0.0376  0.0383  0.03
Block 1995   54  0.3533  0.0029  0.0731  0.2827  0.3531  0.31
Blumental 1952   13  0.4424  0.0014  0.1614  0.5212  0.5814  0.55
Boshniakovich 1969   8  0.477  0.046  0.165  0.6610  0.638  0.64
Brailowsky 1960   18  0.4315  0.0117  0.1122  0.407  0.7115  0.53
Bunin 1987   72  0.2673  0.0077  0.0477  0.0484  0.0385  0.03
Bunin 1987b   73  0.2681  0.0076  0.0475  0.0478  0.0380  0.03
Chiu 1999   57  0.3355  0.0063  0.0654  0.0659  0.0573  0.05
Cohen 1997   67  0.3065  0.0070  0.0749  0.0732  0.4046  0.17
Cortot 1951   68  0.2977  0.0064  0.0473  0.0428  0.3059  0.11
Csalog 1996   74  0.2587  0.0075  0.0476  0.0473  0.0476  0.04
Czerny 1949   55  0.3562  0.0059  0.0561  0.0530  0.4549  0.15
Czerny 1990   60  0.3378  0.0051  0.0658  0.0655  0.0669  0.06
Duchoud 2007   83  0.1890  0.0086  0.0288  0.0274  0.0484  0.03
Ezaki 2006   3  0.5112  0.017  0.183  0.705  0.684  0.69
Falvay 1989   26  0.4240  0.0030  0.0734  0.2539  0.1738  0.21
Farrell 1958   82  0.2286  0.0079  0.0381  0.0372  0.0379  0.03
Ferenczy 1958   33  0.3919  0.0052  0.0560  0.0515  0.6844  0.18
Fliere 1977   15  0.4428  0.0013  0.1312  0.5433  0.3124  0.41
Fou 1978   5  0.498  0.049  0.228  0.636  0.667  0.64
Francois 1956   79  0.2380  0.0080  0.0382  0.0359  0.0488  0.03
Friedman 1923   78  0.2374  0.0082  0.0386  0.0375  0.0489  0.03
Friedman 1923b   77  0.2372  0.0083  0.0379  0.0368  0.0486  0.03
Friedman 1930   69  0.2952  0.0069  0.0652  0.0661  0.0575  0.05
Garcia 2007   66  0.3025  0.0050  0.0657  0.0624  0.3550  0.14
Garcia 2007b   81  0.2260  0.0071  0.0570  0.0572  0.0477  0.04
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   24  0.4247  0.0019  0.0917  0.4612  0.5917  0.52
Groot 1988   64  0.3079  0.0038  0.0640  0.1541  0.1152  0.13
Harasiewicz 1955   9  0.4711  0.0211  0.1711  0.6023  0.4319  0.51
Hatto 1993   22  0.4256  0.0026  0.0819  0.4429  0.2826  0.35
Hatto 1997   37  0.3957  0.0036  0.0732  0.2830  0.2632  0.27
Horowitz 1949   86  0.1888  0.0085  0.0384  0.0385  0.0381  0.03
Indjic 1988   30  0.4083  0.0034  0.0626  0.3430  0.3030  0.32
Kapell 1951   70  0.2984  0.0067  0.0569  0.0565  0.0574  0.05
Kissin 1993   21  0.4336  0.0033  0.0635  0.2430  0.4727  0.34
Kushner 1989   1  0.522  0.212  0.271  0.758  0.652  0.70
Luisada 1991   61  0.3235  0.0068  0.0567  0.0566  0.0671  0.05
Lushtak 2004   7  0.476  0.045  0.157  0.653  0.705  0.67
Malcuzynski 1961   4  0.503  0.113  0.342  0.723  0.683  0.70
Magaloff 1978   14  0.4417  0.0112  0.1213  0.5411  0.5316  0.53
Magin 1975   48  0.3766  0.0040  0.0642  0.1333  0.3240  0.20
Michalowski 1933   87  0.1667  0.0087  0.0383  0.0373  0.0482  0.03
Milkina 1970   40  0.3850  0.0042  0.0641  0.1338  0.2443  0.18
Mohovich 1999   2  0.511  0.291  0.299  0.6212  0.619  0.61
Moravec 1969   41  0.3821  0.0044  0.0544  0.1042  0.1356  0.11
Morozova 2008   23  0.429  0.0216  0.1220  0.4324  0.4323  0.43
Neighaus 1950   52  0.3559  0.0060  0.0659  0.0647  0.0670  0.06
Niedzielski 1931   63  0.3114  0.0156  0.0564  0.0530  0.2754  0.12
Ohlsson 1999   45  0.3789  0.0054  0.0751  0.0747  0.0668  0.06
Osinska 1989   16  0.4458  0.0028  0.0921  0.4028  0.3525  0.37
Pachmann 1927   58  0.3349  0.0066  0.0471  0.0441  0.1466  0.07
Paderewski 1930   71  0.2682  0.0072  0.0563  0.0540  0.2161  0.10
Perlemuter 1992   53  0.3551  0.0057  0.0562  0.0528  0.3351  0.13
Pierdomenico 2008   65  0.3022  0.0065  0.0474  0.0439  0.1365  0.07
Poblocka 1999   46  0.3731  0.0055  0.0945  0.0944  0.1260  0.10
Rabcewiczowa 1932   51  0.3668  0.0039  0.0739  0.1527  0.4235  0.25
Rachmaninoff 1923   85  0.1832  0.0078  0.0378  0.0369  0.0478  0.03
Rangell 2001   39  0.3823  0.0043  0.0643  0.1130  0.4139  0.21
Richter 1976   35  0.3939  0.0045  0.0565  0.0535  0.2755  0.12
Rosen 1989   12  0.4437  0.0025  0.0824  0.3822  0.3028  0.34
Rosenthal 1930   50  0.3630  0.0061  0.0747  0.0725  0.5542  0.20
Rosenthal 1931   17  0.4418  0.0115  0.1516  0.487  0.7510  0.60
Rosenthal 1931b   25  0.4229  0.0022  0.0825  0.356  0.7618  0.52
Rosenthal 1931c   27  0.4110  0.0218  0.1223  0.3911  0.5820  0.48
Rosenthal 1931d   59  0.3370  0.0048  0.0748  0.0717  0.4745  0.18
Rossi 2007   75  0.2441  0.0074  0.0472  0.0426  0.3453  0.12
Rubinstein 1939   56  0.3445  0.0062  0.0846  0.0836  0.1557  0.11
Rubinstein 1952   36  0.3938  0.0031  0.0636  0.2235  0.3034  0.26
Rubinstein 1966   6  0.484  0.058  0.1610  0.6217  0.5012  0.56
Schilhawsky 1960   44  0.3727  0.0058  0.0656  0.0621  0.3748  0.15
Shebanova 2002   29  0.4164  0.0035  0.0729  0.2939  0.2433  0.26
Smith 1975   34  0.3961  0.0032  0.0627  0.329  0.6122  0.44
Sokolov 2002   47  0.3713  0.0147  0.0653  0.0625  0.4147  0.16
Sztompka 1959   49  0.3653  0.0041  0.0538  0.1639  0.2541  0.20
Tomsic 1995   43  0.3744  0.0020  0.0833  0.2615  0.4329  0.33
Uninsky 1932   62  0.3234  0.0023  0.0737  0.1925  0.3436  0.25
Uninsky 1971   11  0.4616  0.0110  0.246  0.656  0.666  0.65
Wasowski 1980   76  0.2475  0.0073  0.0655  0.0663  0.0572  0.05
Zak 1937   42  0.3842  0.0053  0.0750  0.0752  0.0667  0.06
Zak 1951   31  0.4054  0.0046  0.0568  0.0527  0.2558  0.11
Random 1   90  -0.0369  0.0090  0.0190  0.0177  0.0290  0.01
Random 2   88  0.1071  0.0088  0.0287  0.022  0.5362  0.10
Random 3   89  0.0085  0.0089  0.0289  0.0211  0.4263  0.09

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).