Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4636  0.0051  0.0455  0.0432  0.2248  0.09
Anderszewski 2003   56  0.3919  0.0144  0.0744  0.1347  0.0845  0.10
Ashkenazy 1981   58  0.3842  0.0080  0.0377  0.0353  0.0485  0.03
Bacha 2000   57  0.3850  0.0061  0.0373  0.0344  0.1457  0.06
Badura 1965   75  0.3277  0.0074  0.0372  0.0378  0.0383  0.03
Barbosa 1983   21  0.4920  0.0117  0.0913  0.5334  0.2618  0.37
Biret 1990   8  0.534  0.053  0.264  0.6820  0.453  0.55
Blet 2003   71  0.3441  0.0060  0.0549  0.0537  0.1547  0.09
Block 1995   79  0.2978  0.0078  0.0380  0.0375  0.0484  0.03
Blumental 1952   10  0.5211  0.019  0.1110  0.5628  0.446  0.50
Boshniakovich 1969   13  0.5127  0.0019  0.0818  0.4936  0.2129  0.32
Brailowsky 1960   55  0.4079  0.0057  0.0553  0.0563  0.0560  0.05
Bunin 1987   45  0.4312  0.0132  0.1131  0.3424  0.3030  0.32
Bunin 1987b   54  0.4054  0.0036  0.0937  0.2529  0.2634  0.25
Chiu 1999   59  0.3847  0.0052  0.0460  0.0450  0.0662  0.05
Cohen 1997   80  0.2876  0.0082  0.0287  0.0269  0.0486  0.03
Cortot 1951   31  0.4571  0.0033  0.1130  0.373  0.724  0.52
Csalog 1996   69  0.3463  0.0054  0.0461  0.0480  0.0381  0.03
Czerny 1949   1  0.611  0.521  0.511  0.7610  0.691  0.72
Czerny 1990   4  0.543  0.062  0.223  0.6828  0.522  0.59
Duchoud 2007   85  0.2567  0.0064  0.0374  0.0358  0.0578  0.04
Ezaki 2006   9  0.5224  0.0120  0.1012  0.5439  0.1732  0.30
Falvay 1989   41  0.4472  0.0049  0.0551  0.0580  0.0469  0.04
Farrell 1958   47  0.4273  0.0018  0.0920  0.4920  0.457  0.47
Ferenczy 1958   72  0.3468  0.0083  0.0375  0.0382  0.0382  0.03
Fliere 1977   5  0.546  0.035  0.185  0.6136  0.2812  0.41
Fou 1978   50  0.4165  0.0071  0.0548  0.0575  0.0471  0.04
Francois 1956   46  0.4229  0.0055  0.0466  0.0424  0.3144  0.11
Friedman 1923   86  0.2255  0.0085  0.0382  0.0368  0.0490  0.03
Friedman 1923b   87  0.1981  0.0087  0.0385  0.0379  0.0387  0.03
Friedman 1930   78  0.3082  0.0076  0.0386  0.0347  0.0763  0.05
Garcia 2007   76  0.3044  0.0072  0.0463  0.0469  0.0479  0.04
Garcia 2007b   65  0.3558  0.0045  0.0645  0.0660  0.0568  0.05
Gierzod 1998   2  0.5725  0.008  0.1014  0.5343  0.1928  0.32
Gornostaeva 1994   53  0.4051  0.0065  0.0468  0.0476  0.0388  0.03
Groot 1988   35  0.4515  0.0110  0.0917  0.5026  0.2719  0.37
Harasiewicz 1955   6  0.5426  0.0016  0.0926  0.4239  0.2723  0.34
Hatto 1993   18  0.5039  0.0022  0.1519  0.4932  0.3016  0.38
Hatto 1997   17  0.5037  0.0023  0.1123  0.4636  0.2721  0.35
Horowitz 1949   81  0.2752  0.0077  0.0378  0.0364  0.0575  0.04
Indjic 1988   14  0.5169  0.0021  0.0816  0.5031  0.2915  0.38
Kapell 1951   44  0.4353  0.0038  0.0935  0.2643  0.1536  0.20
Kissin 1993   40  0.4418  0.0143  0.0743  0.1548  0.0943  0.12
Kushner 1989   16  0.509  0.0111  0.086  0.5946  0.0835  0.22
Luisada 1991   30  0.4574  0.0056  0.0459  0.0443  0.1455  0.07
Lushtak 2004   52  0.4046  0.0048  0.0552  0.0561  0.0565  0.05
Malcuzynski 1961   11  0.5243  0.0013  0.098  0.5835  0.3011  0.42
Magaloff 1978   12  0.5123  0.0112  0.0721  0.4926  0.3610  0.42
Magin 1975   23  0.4961  0.0029  0.0825  0.4330  0.3117  0.37
Michalowski 1933   73  0.3340  0.0053  0.0467  0.041  0.6340  0.16
Milkina 1970   3  0.567  0.024  0.162  0.6834  0.299  0.44
Mohovich 1999   26  0.4621  0.0142  0.0942  0.1763  0.0454  0.08
Moravec 1969   48  0.4130  0.0037  0.0739  0.2240  0.1638  0.19
Morozova 2008   37  0.4413  0.0139  0.0736  0.2536  0.1637  0.20
Neighaus 1950   74  0.3217  0.0181  0.0376  0.0360  0.0489  0.03
Niedzielski 1931   84  0.2564  0.0084  0.0381  0.0358  0.0570  0.04
Ohlsson 1999   63  0.3686  0.0066  0.0465  0.0464  0.0477  0.04
Osinska 1989   7  0.5331  0.0015  0.127  0.5940  0.2120  0.35
Pachmann 1927   77  0.3048  0.0079  0.0383  0.0357  0.0576  0.04
Paderewski 1930   83  0.2587  0.0075  0.0379  0.0331  0.1951  0.08
Perlemuter 1992   62  0.3670  0.0070  0.0457  0.0439  0.1650  0.08
Pierdomenico 2008   51  0.4162  0.0058  0.0647  0.0626  0.3741  0.15
Poblocka 1999   25  0.4757  0.0024  0.1029  0.3933  0.2825  0.33
Rabcewiczowa 1932   29  0.4628  0.006  0.139  0.5621  0.368  0.45
Rachmaninoff 1923   24  0.482  0.067  0.1215  0.5012  0.525  0.51
Rangell 2001   67  0.3532  0.0062  0.0469  0.0453  0.0667  0.05
Richter 1976   39  0.448  0.0225  0.1032  0.3127  0.3822  0.34
Rosen 1989   27  0.4616  0.0135  0.0838  0.2370  0.0446  0.10
Rosenthal 1930   33  0.4514  0.0134  0.0933  0.2916  0.5214  0.39
Rosenthal 1931   68  0.3589  0.0068  0.0464  0.0437  0.1652  0.08
Rosenthal 1931b   70  0.3480  0.0063  0.0470  0.0435  0.2149  0.09
Rosenthal 1931c   36  0.445  0.0327  0.0834  0.2721  0.3831  0.32
Rosenthal 1931d   60  0.3856  0.0046  0.0646  0.0628  0.3442  0.14
Rossi 2007   61  0.3688  0.0069  0.0456  0.0449  0.0661  0.05
Rubinstein 1939   32  0.4535  0.0026  0.0828  0.3935  0.2627  0.32
Rubinstein 1952   15  0.5022  0.0114  0.1111  0.5637  0.2124  0.34
Rubinstein 1966   20  0.4938  0.0030  0.1122  0.4854  0.0639  0.17
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   38  0.4410  0.0141  0.0841  0.1873  0.0453  0.08
Smith 1975   19  0.4933  0.0028  0.0827  0.4025  0.3913  0.39
Sokolov 2002   64  0.3583  0.0073  0.0371  0.0361  0.0480  0.03
Sztompka 1959   34  0.4534  0.0040  0.0740  0.2130  0.3833  0.28
Tomsic 1995   82  0.2675  0.0086  0.0384  0.0371  0.0574  0.04
Uninsky 1932   66  0.3584  0.0067  0.0458  0.0441  0.1356  0.07
Uninsky 1971   22  0.4949  0.0031  0.1424  0.4440  0.2526  0.33
Wasowski 1980   42  0.4460  0.0047  0.0550  0.0567  0.0559  0.05
Zak 1937   49  0.4190  0.0059  0.0554  0.0577  0.0372  0.04
Zak 1951   43  0.4345  0.0050  0.0462  0.0467  0.0473  0.04
Random 1   89  0.0085  0.0090  0.0190  0.0114  0.3858  0.06
Random 2   88  0.0659  0.0088  0.0188  0.0129  0.2264  0.05
Random 3   90  -0.0466  0.0089  0.0189  0.0119  0.2966  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).