Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.4635  0.0047  0.0745  0.0772  0.0352  0.05
Anderszewski 2003   53  0.3641  0.0031  0.0732  0.2674  0.0337  0.09
Ashkenazy 1981   10  0.5344  0.0015  0.086  0.5770  0.0422  0.15
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   81  0.2045  0.0071  0.0375  0.0380  0.0374  0.03
Barbosa 1983   46  0.3912  0.0126  0.0714  0.4771  0.0424  0.14
Biret 1990   14  0.5117  0.0129  0.0819  0.4545  0.0716  0.18
Blet 2003   62  0.3386  0.0076  0.0650  0.0679  0.0451  0.05
Block 1995   31  0.4550  0.0028  0.0731  0.3033  0.1811  0.23
Blumental 1952   51  0.374  0.0723  0.0733  0.2637  0.1712  0.21
Boshniakovich 1969   38  0.4260  0.0046  0.0648  0.0673  0.0358  0.04
Brailowsky 1960   5  0.543  0.084  0.145  0.5813  0.443  0.51
Bunin 1987   72  0.2968  0.0081  0.0455  0.0485  0.0276  0.03
Bunin 1987b   71  0.2940  0.0080  0.0379  0.0385  0.0284  0.02
Chiu 1999   32  0.459  0.035  0.123  0.5829  0.374  0.46
Cohen 1997   37  0.4362  0.0035  0.1030  0.3324  0.338  0.33
Cortot 1951   70  0.3064  0.0078  0.0554  0.0580  0.0359  0.04
Csalog 1996   25  0.4737  0.0045  0.0647  0.0635  0.2529  0.12
Czerny 1949   76  0.2723  0.0150  0.0367  0.0384  0.0287  0.02
Czerny 1990   58  0.3480  0.0070  0.0466  0.0478  0.0378  0.03
Duchoud 2007   44  0.3955  0.0052  0.0372  0.0375  0.0373  0.03
Ezaki 2006   24  0.4713  0.0124  0.0720  0.4375  0.0330  0.11
Falvay 1989   4  0.5638  0.008  0.128  0.5658  0.0517  0.17
Farrell 1958   40  0.4165  0.0061  0.0462  0.0473  0.0366  0.03
Ferenczy 1958   36  0.4311  0.0136  0.0641  0.1452  0.0638  0.09
Fliere 1977   42  0.4081  0.0051  0.0464  0.0480  0.0361  0.03
Fou 1978   6  0.5415  0.0111  0.124  0.5846  0.0713  0.20
Francois 1956   57  0.3482  0.0068  0.0461  0.0475  0.0381  0.03
Friedman 1923   87  0.0483  0.0089  0.0289  0.0282  0.0389  0.02
Friedman 1923b   86  0.0587  0.0088  0.0288  0.0283  0.0388  0.02
Friedman 1930   84  0.0974  0.0082  0.0382  0.0385  0.0286  0.02
Garcia 2007   73  0.2949  0.0064  0.0458  0.0454  0.0557  0.04
Garcia 2007b   79  0.2234  0.0060  0.0374  0.0339  0.1648  0.07
Gierzod 1998   1  0.591  0.331  0.331  0.659  0.412  0.52
Gornostaeva 1994   34  0.4343  0.0057  0.0465  0.0479  0.0377  0.03
Groot 1988   23  0.4870  0.0041  0.0839  0.1977  0.0344  0.08
Harasiewicz 1955   78  0.2639  0.0025  0.0829  0.3380  0.0334  0.10
Hatto 1993   35  0.4319  0.0110  0.1815  0.4736  0.1810  0.29
Hatto 1997   28  0.4622  0.0113  0.0823  0.4042  0.0915  0.19
Horowitz 1949   54  0.3684  0.0066  0.0370  0.0366  0.0467  0.03
Indjic 1988   33  0.457  0.039  0.1116  0.4735  0.189  0.29
Kapell 1951   30  0.4521  0.0144  0.0643  0.1266  0.0446  0.07
Kissin 1993   27  0.4672  0.0034  0.0728  0.3356  0.0526  0.13
Kushner 1989   8  0.5310  0.0222  0.0817  0.4566  0.0425  0.13
Luisada 1991   19  0.492  0.106  0.1210  0.5333  0.217  0.33
Lushtak 2004   43  0.4036  0.0033  0.0636  0.2382  0.0343  0.08
Malcuzynski 1961   15  0.5051  0.0039  0.0834  0.2571  0.0336  0.09
Magaloff 1978   20  0.4942  0.0027  0.0626  0.3785  0.0235  0.09
Magin 1975   55  0.3585  0.0042  0.0742  0.1380  0.0349  0.06
Michalowski 1933   82  0.1616  0.0154  0.0460  0.0480  0.0370  0.03
Milkina 1970   3  0.578  0.033  0.137  0.5729  0.265  0.38
Mohovich 1999   11  0.5228  0.0018  0.1121  0.4371  0.0427  0.13
Moravec 1969   39  0.4131  0.0049  0.0552  0.0572  0.0454  0.04
Morozova 2008   59  0.3426  0.0030  0.0737  0.2371  0.0342  0.08
Neighaus 1950   18  0.4918  0.0119  0.1322  0.4067  0.0428  0.13
Niedzielski 1931   61  0.3348  0.0067  0.0457  0.0453  0.0555  0.04
Ohlsson 1999   16  0.5014  0.0114  0.089  0.5448  0.0520  0.16
Osinska 1989   49  0.3757  0.0043  0.0644  0.1275  0.0445  0.07
Pachmann 1927   41  0.4147  0.0038  0.0640  0.1646  0.0633  0.10
Paderewski 1930   60  0.3371  0.0063  0.0369  0.0386  0.0285  0.02
Perlemuter 1992   69  0.3077  0.0069  0.0459  0.0477  0.0362  0.03
Pierdomenico 2008   66  0.3261  0.0055  0.0463  0.0485  0.0364  0.03
Poblocka 1999   22  0.4863  0.0037  0.0738  0.2280  0.0340  0.08
Rabcewiczowa 1932   63  0.3366  0.0059  0.0381  0.0363  0.0465  0.03
Rachmaninoff 1923   83  0.1278  0.0083  0.0286  0.0285  0.0283  0.02
Rangell 2001   7  0.5320  0.017  0.1225  0.3947  0.0623  0.15
Richter 1976   64  0.3388  0.0075  0.0456  0.0480  0.0368  0.03
Rosen 1989   9  0.5332  0.0016  0.1012  0.4746  0.0521  0.15
Rosenthal 1930   80  0.2179  0.0084  0.0284  0.0288  0.0190  0.01
Rosenthal 1931   67  0.3253  0.0074  0.0646  0.0656  0.0450  0.05
Rosenthal 1931b   56  0.3458  0.0073  0.0551  0.0555  0.0553  0.05
Rosenthal 1931c   68  0.3133  0.0077  0.0553  0.0584  0.0280  0.03
Rosenthal 1931d   47  0.3856  0.0072  0.0376  0.0367  0.0479  0.03
Rossi 2007   89  0.0059  0.0087  0.0285  0.0272  0.0382  0.02
Rubinstein 1939   65  0.3252  0.0065  0.0377  0.0333  0.2441  0.08
Rubinstein 1952   17  0.5089  0.0021  0.0918  0.4525  0.266  0.34
Rubinstein 1966   13  0.5129  0.0032  0.0924  0.4043  0.1014  0.20
Schilhawsky 1960   48  0.3754  0.0048  0.0649  0.0669  0.0356  0.04
Shebanova 2002   2  0.585  0.052  0.112  0.6316  0.431  0.52
Smith 1975   52  0.3727  0.0040  0.0735  0.2358  0.0431  0.10
Sokolov 2002   50  0.3746  0.0058  0.0380  0.0381  0.0363  0.03
Sztompka 1959   77  0.2790  0.0079  0.0378  0.0384  0.0369  0.03
Tomsic 1995   12  0.526  0.0520  0.1027  0.3674  0.0332  0.10
Uninsky 1932   75  0.2824  0.0162  0.0373  0.0379  0.0372  0.03
Uninsky 1971   45  0.3930  0.0056  0.0368  0.0375  0.0371  0.03
Wasowski 1980   74  0.2969  0.0053  0.0371  0.0383  0.0360  0.03
Zak 1937   21  0.4873  0.0017  0.0913  0.4746  0.0618  0.17
Zak 1951   26  0.4625  0.0112  0.0711  0.4947  0.0619  0.17
Random 1   90  -0.0267  0.0090  0.0190  0.0139  0.1175  0.03
Random 2   88  0.0075  0.0085  0.0287  0.0229  0.2247  0.07
Random 3   85  0.0876  0.0086  0.0383  0.0326  0.2739  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).