Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.3347  0.0073  0.0380  0.0377  0.0383  0.03
Anderszewski 2003   39  0.348  0.0114  0.0831  0.2652  0.0731  0.13
Ashkenazy 1981   26  0.3533  0.0054  0.0651  0.0665  0.0651  0.06
Bacha 2000   49  0.3341  0.0042  0.0542  0.1338  0.2020  0.16
Badura 1965   71  0.2682  0.0064  0.0465  0.0466  0.0384  0.03
Barbosa 1983   3  0.4619  0.003  0.203  0.6824  0.403  0.52
Biret 1990   10  0.4018  0.019  0.156  0.5925  0.444  0.51
Blet 2003   15  0.3829  0.0029  0.0630  0.2837  0.2316  0.25
Block 1995   54  0.3159  0.0052  0.0846  0.0882  0.0356  0.05
Blumental 1952   7  0.423  0.045  0.185  0.6124  0.472  0.54
Boshniakovich 1969   4  0.454  0.032  0.252  0.6825  0.375  0.50
Brailowsky 1960   48  0.3321  0.0048  0.0649  0.0649  0.0748  0.06
Bunin 1987   28  0.3527  0.0022  0.0721  0.3728  0.3311  0.35
Bunin 1987b   37  0.3452  0.0028  0.1027  0.3231  0.3212  0.32
Chiu 1999   11  0.405  0.0218  0.1013  0.4262  0.0527  0.14
Cohen 1997   85  0.2164  0.0086  0.0385  0.0387  0.0291  0.02
Cortot 1951   58  0.3049  0.0063  0.0462  0.0437  0.2040  0.09
Csalog 1996   63  0.2945  0.0059  0.0379  0.0370  0.0481  0.03
Czerny 1949   62  0.2956  0.0066  0.0475  0.0457  0.0569  0.04
Czerny 1990   33  0.3510  0.0119  0.0914  0.4150  0.0719  0.17
Duchoud 2007   87  0.1789  0.0087  0.0476  0.0481  0.0470  0.04
Ezaki 2006   53  0.3286  0.0071  0.0469  0.0471  0.0462  0.04
Falvay 1989   72  0.2648  0.0081  0.0382  0.0384  0.0379  0.03
Farrell 1958   81  0.2476  0.0067  0.0474  0.0471  0.0467  0.04
Ferenczy 1958   83  0.2239  0.0085  0.0288  0.0273  0.0482  0.03
Fliere 1977   5  0.4469  0.0010  0.108  0.5863  0.0422  0.15
Fou 1978   61  0.2936  0.0069  0.0463  0.0470  0.0468  0.04
Francois 1956   59  0.3032  0.0074  0.0468  0.0444  0.1246  0.07
Friedman 1923   60  0.2958  0.0056  0.0464  0.0453  0.0661  0.05
Friedman 1923b   64  0.2983  0.0062  0.0561  0.0564  0.0558  0.05
Friedman 1930   25  0.3670  0.0025  0.0817  0.4031  0.3110  0.35
Garcia 2007   79  0.2453  0.0072  0.0554  0.0571  0.0471  0.04
Garcia 2007b   51  0.3240  0.0047  0.0652  0.0671  0.0460  0.05
Gierzod 1998   19  0.3751  0.0027  0.0822  0.3757  0.0625  0.15
Gornostaeva 1994   76  0.2587  0.0083  0.0386  0.0380  0.0385  0.03
Groot 1988   50  0.3331  0.0050  0.0648  0.0682  0.0374  0.04
Harasiewicz 1955   2  0.489  0.018  0.1610  0.5353  0.0618  0.18
Hatto 1993   27  0.3560  0.0033  0.0732  0.2576  0.0436  0.10
Hatto 1997   36  0.3446  0.0034  0.0739  0.1472  0.0443  0.07
Horowitz 1949   45  0.337  0.0231  0.0634  0.1733  0.3615  0.25
Indjic 1988   18  0.3725  0.0023  0.0723  0.3666  0.0530  0.13
Kapell 1951   24  0.3614  0.0113  0.0712  0.4559  0.0621  0.16
Kissin 1993   52  0.3263  0.0055  0.0555  0.0575  0.0555  0.05
Kushner 1989   17  0.3842  0.0026  0.0815  0.4064  0.0529  0.14
Luisada 1991   16  0.3843  0.0035  0.0638  0.1445  0.0934  0.11
Lushtak 2004   20  0.3754  0.0020  0.0818  0.4030  0.2513  0.32
Malcuzynski 1961   8  0.4122  0.007  0.167  0.5837  0.248  0.37
Magaloff 1978   12  0.3978  0.0016  0.1019  0.3951  0.0528  0.14
Magin 1975   35  0.3472  0.0038  0.0635  0.1756  0.0537  0.09
Michalowski 1933   30  0.3523  0.0024  0.0724  0.356  0.606  0.46
Milkina 1970   46  0.3311  0.0149  0.0553  0.0560  0.0553  0.05
Mohovich 1999   40  0.3424  0.0040  0.0545  0.0954  0.0545  0.07
Moravec 1969   66  0.2855  0.0061  0.0471  0.0478  0.0376  0.03
Morozova 2008   38  0.3426  0.0037  0.0537  0.1582  0.0342  0.07
Neighaus 1950   67  0.2835  0.0075  0.0467  0.0487  0.0287  0.03
Niedzielski 1931   78  0.2444  0.0076  0.0558  0.0584  0.0365  0.04
Ohlsson 1999   21  0.3730  0.0015  0.0826  0.3483  0.0335  0.10
Osinska 1989   14  0.3881  0.0030  0.0628  0.3150  0.0532  0.12
Pachmann 1927   56  0.3177  0.0060  0.0559  0.0558  0.0654  0.05
Paderewski 1930   74  0.2666  0.0070  0.0472  0.0446  0.0949  0.06
Perlemuter 1992   34  0.3575  0.0051  0.0747  0.0761  0.0547  0.06
Pierdomenico 2008   70  0.2768  0.0068  0.0470  0.0460  0.0464  0.04
Poblocka 1999   13  0.3916  0.016  0.1211  0.4637  0.289  0.36
Rabcewiczowa 1932   68  0.2767  0.0058  0.0560  0.0575  0.0466  0.04
Rachmaninoff 1923   41  0.3412  0.0117  0.1016  0.4050  0.0623  0.15
Rangell 2001   77  0.2588  0.0077  0.0466  0.0486  0.0286  0.03
Richter 1976   29  0.352  0.0512  0.0925  0.3537  0.2514  0.30
Rosen 1989   32  0.3520  0.0036  0.0533  0.1958  0.0439  0.09
Rosenthal 1930   73  0.2662  0.0078  0.0381  0.0347  0.0672  0.04
Rosenthal 1931   86  0.2091  0.0084  0.0384  0.0370  0.0480  0.03
Rosenthal 1931b   84  0.2179  0.0080  0.0556  0.0554  0.0559  0.05
Rosenthal 1931c   75  0.2574  0.0079  0.0383  0.0374  0.0388  0.03
Rosenthal 1931d   80  0.2415  0.0153  0.0650  0.0634  0.2333  0.12
Rossi 2007   82  0.2373  0.0082  0.0287  0.0251  0.0678  0.03
Rubinstein 1939   65  0.2817  0.0145  0.0544  0.1076  0.0352  0.05
Rubinstein 1952   44  0.3361  0.0046  0.0557  0.0570  0.0475  0.04
Rubinstein 1966   42  0.3465  0.0044  0.0541  0.1376  0.0350  0.06
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   22  0.3713  0.0121  0.1120  0.3860  0.0624  0.15
Smith 1975   43  0.3328  0.0065  0.0377  0.0352  0.0663  0.04
Sokolov 2002   69  0.276  0.0257  0.0473  0.0488  0.0277  0.03
Sztompka 1959   57  0.3171  0.0043  0.0543  0.1157  0.0541  0.07
Tomsic 1995   88  0.1680  0.0088  0.0378  0.0389  0.0289  0.02
Uninsky 1932   55  0.3190  0.0041  0.0540  0.1364  0.0444  0.07
Uninsky 1971   23  0.3634  0.0039  0.0636  0.1666  0.0538  0.09
Wasowski 1980   31  0.3550  0.0032  0.0729  0.3046  0.0726  0.14
Zak 1937   9  0.4037  0.0011  0.139  0.5725  0.357  0.45
Zak 1951   6  0.4338  0.004  0.184  0.6513  0.491  0.56
Average   1  0.561  0.631  0.621  0.7963  0.0517  0.20
Random 1   90  -0.0185  0.0090  0.0189  0.0139  0.1373  0.04
Random 2   89  0.0057  0.0089  0.0190  0.0148  0.0690  0.02
Random 3   91  -0.0584  0.0091  0.0191  0.0130  0.2257  0.05

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).