Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.4446  0.0058  0.0555  0.0565  0.0466  0.04
Anderszewski 2003   25  0.502  0.212  0.2113  0.4919  0.468  0.47
Ashkenazy 1981   15  0.5466  0.0015  0.1014  0.4738  0.1721  0.28
Bacha 2000   64  0.3737  0.0064  0.0370  0.0350  0.0656  0.04
Badura 1965   54  0.4125  0.0052  0.0650  0.0637  0.1945  0.11
Barbosa 1983   16  0.5423  0.0123  0.0819  0.3923  0.4213  0.40
Biret 1990   40  0.4654  0.0033  0.0632  0.2430  0.2626  0.25
Blet 2003   17  0.5327  0.0019  0.0721  0.3724  0.3516  0.36
Block 1995   56  0.4022  0.0130  0.0642  0.1747  0.0449  0.08
Blumental 1952   67  0.3720  0.0151  0.0556  0.0526  0.2546  0.11
Boshniakovich 1969   41  0.4517  0.0132  0.0739  0.1841  0.1635  0.17
Brailowsky 1960   57  0.4039  0.0071  0.0376  0.0379  0.0371  0.03
Bunin 1987   3  0.617  0.034  0.163  0.626  0.563  0.59
Bunin 1987b   4  0.614  0.065  0.274  0.626  0.562  0.59
Chiu 1999   51  0.4234  0.0054  0.0648  0.0662  0.0455  0.05
Cohen 1997   87  0.2377  0.0086  0.0371  0.0365  0.0481  0.03
Cortot 1951   35  0.4751  0.0046  0.0649  0.0626  0.3241  0.14
Csalog 1996   66  0.3770  0.0072  0.0382  0.0349  0.0663  0.04
Czerny 1949   43  0.4591  0.0050  0.0553  0.0547  0.0752  0.06
Czerny 1990   29  0.4857  0.0040  0.0830  0.2754  0.0543  0.12
Duchoud 2007   36  0.4671  0.0043  0.0643  0.1638  0.1934  0.17
Ezaki 2006   24  0.5167  0.0039  0.0828  0.2867  0.0444  0.11
Falvay 1989   58  0.4045  0.0067  0.0374  0.0380  0.0372  0.03
Farrell 1958   60  0.3972  0.0066  0.0373  0.0378  0.0373  0.03
Ferenczy 1958   30  0.4862  0.0037  0.0626  0.3216  0.4414  0.38
Fliere 1977   13  0.5465  0.0034  0.0629  0.2850  0.0642  0.13
Fou 1978   72  0.3552  0.0078  0.0464  0.0466  0.0459  0.04
Francois 1956   20  0.5249  0.0036  0.0637  0.2042  0.1537  0.17
Friedman 1923   81  0.3330  0.0055  0.0747  0.0717  0.3840  0.16
Friedman 1923b   73  0.3518  0.0153  0.0746  0.0717  0.4036  0.17
Friedman 1930   32  0.4712  0.0126  0.1117  0.4115  0.4912  0.45
Garcia 2007   84  0.2438  0.0070  0.0381  0.0344  0.1153  0.06
Garcia 2007b   86  0.2340  0.0080  0.0378  0.0359  0.0486  0.03
Gierzod 1998   18  0.5341  0.0035  0.0631  0.2642  0.1039  0.16
Gornostaeva 1994   47  0.4458  0.0074  0.0380  0.0378  0.0382  0.03
Groot 1988   21  0.5273  0.0041  0.0840  0.1875  0.0351  0.07
Harasiewicz 1955   9  0.5516  0.0111  0.128  0.5230  0.2418  0.35
Hatto 1993   77  0.3360  0.0018  0.0738  0.2035  0.1933  0.19
Hatto 1997   65  0.3714  0.0112  0.1033  0.2426  0.2923  0.26
Horowitz 1949   10  0.553  0.0714  0.107  0.5211  0.419  0.46
Indjic 1988   74  0.3442  0.0017  0.0936  0.2125  0.2827  0.24
Kapell 1951   2  0.646  0.033  0.282  0.658  0.531  0.59
Kissin 1993   62  0.3878  0.0073  0.0379  0.0380  0.0375  0.03
Kushner 1989   33  0.4733  0.0056  0.0460  0.0463  0.0460  0.04
Luisada 1991   59  0.3987  0.0068  0.0367  0.0384  0.0370  0.03
Lushtak 2004   5  0.588  0.036  0.276  0.5715  0.484  0.52
Malcuzynski 1961   7  0.5732  0.0016  0.1215  0.4341  0.1525  0.25
Magaloff 1978   22  0.5113  0.0129  0.0924  0.3460  0.0347  0.10
Magin 1975   71  0.3583  0.0048  0.0558  0.0573  0.0357  0.04
Michalowski 1933   39  0.4610  0.0213  0.0910  0.5110  0.456  0.48
Milkina 1970   75  0.3436  0.0084  0.0385  0.0368  0.0474  0.03
Mohovich 1999   37  0.4664  0.0047  0.0552  0.0578  0.0367  0.04
Moravec 1969   49  0.4459  0.0063  0.0463  0.0478  0.0369  0.03
Morozova 2008   48  0.4444  0.0049  0.0551  0.0556  0.0464  0.04
Neighaus 1950   28  0.4953  0.0038  0.0634  0.2263  0.0548  0.10
Niedzielski 1931   53  0.4211  0.0245  0.0744  0.1510  0.4224  0.25
Ohlsson 1999   12  0.5450  0.0025  0.1018  0.4045  0.0932  0.19
Osinska 1989   46  0.4461  0.0059  0.0559  0.0553  0.0654  0.05
Pachmann 1927   69  0.3674  0.0062  0.0554  0.0563  0.0462  0.04
Paderewski 1930   27  0.495  0.0431  0.0635  0.2225  0.2328  0.22
Perlemuter 1992   26  0.4919  0.0128  0.0820  0.3844  0.1229  0.21
Pierdomenico 2008   83  0.3088  0.0082  0.0287  0.0280  0.0388  0.02
Poblocka 1999   8  0.5621  0.017  0.209  0.5213  0.427  0.47
Rabcewiczowa 1932   68  0.3763  0.0077  0.0372  0.0348  0.0558  0.04
Rachmaninoff 1923   42  0.4584  0.0027  0.0723  0.3631  0.2220  0.28
Rangell 2001   70  0.3679  0.0079  0.0368  0.0377  0.0383  0.03
Richter 1976   31  0.4824  0.0122  0.0825  0.3321  0.3419  0.33
Rosen 1989   63  0.3768  0.0076  0.0384  0.0381  0.0380  0.03
Rosenthal 1930   55  0.4075  0.0069  0.0375  0.0353  0.0479  0.03
Rosenthal 1931   78  0.3380  0.0081  0.0383  0.0358  0.0476  0.03
Rosenthal 1931b   80  0.3389  0.0075  0.0377  0.0362  0.0485  0.03
Rosenthal 1931c   45  0.4469  0.0060  0.0461  0.0439  0.1650  0.08
Rosenthal 1931d   76  0.3428  0.0065  0.0366  0.0351  0.0484  0.03
Rossi 2007   85  0.2356  0.0083  0.0286  0.0258  0.0387  0.02
Rubinstein 1939   88  0.1326  0.0089  0.0289  0.0280  0.0389  0.02
Rubinstein 1952   82  0.3047  0.0087  0.0465  0.0467  0.0468  0.04
Rubinstein 1966   79  0.3348  0.0085  0.0369  0.0386  0.0377  0.03
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   61  0.3843  0.0057  0.0462  0.0462  0.0565  0.04
Smith 1975   11  0.5529  0.0024  0.0922  0.3744  0.1230  0.21
Sokolov 2002   6  0.5715  0.019  0.1612  0.4916  0.4110  0.45
Sztompka 1959   34  0.4790  0.0042  0.0641  0.1743  0.1538  0.16
Tomsic 1995   52  0.4281  0.0061  0.0557  0.0557  0.0461  0.04
Uninsky 1932   44  0.4582  0.0020  0.0727  0.3027  0.2522  0.27
Uninsky 1971   19  0.5231  0.008  0.1711  0.4922  0.4211  0.45
Wasowski 1980   38  0.4685  0.0044  0.0745  0.1531  0.2531  0.19
Zak 1937   23  0.5155  0.0021  0.0716  0.4226  0.3315  0.37
Zak 1951   14  0.549  0.0210  0.135  0.5820  0.395  0.48
Average   1  0.681  0.291  0.291  0.7344  0.1717  0.35
Random 1   91  -0.0576  0.0090  0.0190  0.0181  0.0390  0.02
Random 2   89  -0.0235  0.0088  0.0288  0.0255  0.0478  0.03
Random 3   90  -0.0286  0.0091  0.0191  0.0176  0.0291  0.01

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).