Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6762  0.0027  0.0722  0.3549  0.0537  0.13
Anderszewski 2003   47  0.5932  0.0049  0.0554  0.0560  0.0369  0.04
Ashkenazy 1981   40  0.6211  0.0229  0.0831  0.2357  0.0442  0.10
Bacha 2000   73  0.4746  0.0073  0.0472  0.0460  0.0562  0.04
Badura 1965   15  0.6714  0.017  0.119  0.554  0.574  0.56
Barbosa 1983   83  0.3753  0.0074  0.0466  0.0476  0.0468  0.04
Biret 1990   54  0.5729  0.0061  0.0462  0.0470  0.0474  0.04
Blet 2003   41  0.6273  0.0043  0.0642  0.1164  0.0449  0.07
Block 1995   14  0.673  0.085  0.1511  0.541  0.525  0.53
Blumental 1952   65  0.5110  0.0222  0.0643  0.1147  0.0550  0.07
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   39  0.6257  0.0058  0.0375  0.0333  0.2445  0.08
Bunin 1987   48  0.5988  0.0040  0.0540  0.1635  0.2330  0.19
Bunin 1987b   51  0.5982  0.0033  0.0438  0.1734  0.2729  0.21
Chiu 1999   69  0.4943  0.0063  0.0558  0.0559  0.0464  0.04
Cohen 1997   87  0.2563  0.0086  0.0376  0.0368  0.0484  0.03
Cortot 1951   43  0.6160  0.0062  0.0553  0.0547  0.0661  0.05
Csalog 1996   86  0.3667  0.0077  0.0285  0.0271  0.0483  0.03
Czerny 1949   26  0.6427  0.0031  0.1027  0.2747  0.0636  0.13
Czerny 1990   27  0.6447  0.0059  0.0468  0.0468  0.0473  0.04
Duchoud 2007   61  0.5235  0.0067  0.0465  0.0462  0.0472  0.04
Ezaki 2006   22  0.6581  0.0054  0.0747  0.0775  0.0355  0.05
Falvay 1989   68  0.5064  0.0084  0.0381  0.0376  0.0479  0.03
Farrell 1958   50  0.5986  0.0056  0.0745  0.0743  0.0946  0.08
Ferenczy 1958   66  0.5165  0.0081  0.0282  0.0282  0.0388  0.02
Fliere 1977   1  0.791  0.321  0.323  0.639  0.513  0.57
Fou 1978   19  0.6652  0.006  0.1012  0.5313  0.419  0.47
Francois 1956   59  0.5383  0.0068  0.0471  0.0476  0.0386  0.03
Friedman 1923   85  0.3789  0.0066  0.0373  0.0339  0.1752  0.07
Friedman 1923b   84  0.3779  0.0065  0.0461  0.0439  0.1747  0.08
Friedman 1930   71  0.4771  0.0064  0.0460  0.0469  0.0470  0.04
Garcia 2007   53  0.5866  0.0045  0.0650  0.0627  0.3135  0.14
Garcia 2007b   67  0.5055  0.0048  0.0463  0.0431  0.1548  0.08
Gierzod 1998   6  0.7115  0.0111  0.174  0.5829  0.2813  0.40
Gornostaeva 1994   4  0.7230  0.0017  0.0716  0.4123  0.3114  0.36
Groot 1988   42  0.6149  0.0042  0.0741  0.1436  0.2231  0.18
Harasiewicz 1955   18  0.674  0.073  0.182  0.6316  0.397  0.50
Hatto 1993   76  0.4561  0.0036  0.0532  0.2138  0.1234  0.16
Hatto 1997   72  0.4725  0.0038  0.0834  0.1975  0.0444  0.09
Horowitz 1949   9  0.695  0.058  0.125  0.574  0.632  0.60
Indjic 1988   74  0.4687  0.0037  0.0633  0.2154  0.0541  0.10
Kapell 1951   57  0.5458  0.0069  0.0470  0.0481  0.0381  0.03
Kissin 1993   3  0.746  0.054  0.216  0.5714  0.436  0.50
Kushner 1989   10  0.6936  0.0018  0.0614  0.4338  0.1623  0.26
Luisada 1991   32  0.6440  0.0039  0.0539  0.1745  0.0639  0.10
Lushtak 2004   45  0.6054  0.0055  0.0746  0.0760  0.0460  0.05
Malcuzynski 1961   5  0.729  0.0313  0.118  0.5613  0.418  0.48
Magaloff 1978   37  0.6216  0.0152  0.0559  0.0538  0.1643  0.09
Magin 1975   12  0.6833  0.0025  0.0824  0.3129  0.2122  0.26
Michalowski 1933   56  0.5622  0.0134  0.0436  0.1740  0.1733  0.17
Milkina 1970   24  0.6580  0.0028  0.0723  0.3332  0.2124  0.26
Mohovich 1999   29  0.6421  0.0144  0.0544  0.1052  0.0551  0.07
Moravec 1969   81  0.3739  0.0087  0.0374  0.0378  0.0377  0.03
Morozova 2008   17  0.6748  0.0019  0.0818  0.3933  0.1825  0.26
Neighaus 1950   2  0.762  0.102  0.271  0.685  0.571  0.62
Niedzielski 1931   58  0.5331  0.0057  0.0469  0.0472  0.0380  0.03
Ohlsson 1999   35  0.6337  0.0046  0.0649  0.0665  0.0457  0.05
Osinska 1989   7  0.7045  0.0026  0.0817  0.4033  0.2319  0.30
Pachmann 1927   44  0.6038  0.0032  0.0535  0.176  0.5120  0.29
Paderewski 1930   11  0.6919  0.0123  0.0626  0.2814  0.3418  0.31
Perlemuter 1992   31  0.6434  0.0030  0.0828  0.2654  0.0538  0.11
Pierdomenico 2008   55  0.5759  0.0060  0.0467  0.0435  0.2340  0.10
Poblocka 1999   13  0.6820  0.0120  0.0815  0.4136  0.1621  0.26
Rabcewiczowa 1932   62  0.5269  0.0080  0.0287  0.0277  0.0387  0.02
Rachmaninoff 1923   60  0.5228  0.0047  0.0552  0.0577  0.0365  0.04
Rangell 2001   46  0.5913  0.0215  0.0925  0.288  0.4515  0.35
Richter 1976   33  0.6423  0.0021  0.0619  0.3710  0.4811  0.42
Rosen 1989   21  0.6626  0.0024  0.0729  0.2630  0.2426  0.25
Rosenthal 1930   63  0.5170  0.0072  0.0555  0.0548  0.0559  0.05
Rosenthal 1931   80  0.4185  0.0083  0.0377  0.0360  0.0482  0.03
Rosenthal 1931b   79  0.4290  0.0076  0.0380  0.0366  0.0485  0.03
Rosenthal 1931c   70  0.4872  0.0079  0.0286  0.0273  0.0390  0.02
Rosenthal 1931d   75  0.4576  0.0082  0.0284  0.0243  0.1075  0.04
Rossi 2007   77  0.4477  0.0085  0.0283  0.0264  0.0478  0.03
Rubinstein 1939   82  0.3774  0.0075  0.0378  0.0355  0.0566  0.04
Rubinstein 1952   78  0.4450  0.0078  0.0379  0.0355  0.0676  0.04
Rubinstein 1966   64  0.5175  0.0071  0.0556  0.0546  0.0658  0.05
Schilhawsky 1960   38  0.6217  0.0116  0.0920  0.3643  0.1527  0.23
Shebanova 2002   8  0.7024  0.0014  0.1213  0.5120  0.3412  0.42
Smith 1975   25  0.6578  0.0053  0.0551  0.0549  0.0556  0.05
Sokolov 2002   49  0.5944  0.0051  0.0464  0.0447  0.0563  0.04
Sztompka 1959   34  0.6451  0.0050  0.0648  0.0659  0.0653  0.06
Tomsic 1995   52  0.5841  0.0070  0.0557  0.0567  0.0467  0.04
Uninsky 1932   36  0.6218  0.0135  0.0530  0.2437  0.2128  0.22
Uninsky 1971   23  0.657  0.0412  0.1221  0.3632  0.2817  0.32
Wasowski 1980   30  0.6442  0.0041  0.0637  0.1730  0.1732  0.17
Zak 1937   20  0.668  0.039  0.157  0.5723  0.3310  0.43
Zak 1951   28  0.6412  0.0210  0.1910  0.5530  0.1916  0.32
Random 1   89  -0.1056  0.0089  0.0189  0.0124  0.3354  0.06
Random 2   90  -0.1284  0.0088  0.0188  0.0136  0.1471  0.04
Random 3   88  -0.0568  0.0090  0.0190  0.0162  0.0489  0.02

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).