Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6763  0.0028  0.0723  0.3550  0.0437  0.12
Anderszewski 2003   48  0.5932  0.0050  0.0555  0.0561  0.0370  0.04
Ashkenazy 1981   41  0.6212  0.0230  0.0832  0.2358  0.0443  0.10
Bacha 2000   74  0.4747  0.0074  0.0473  0.0461  0.0563  0.04
Badura 1965   16  0.6714  0.018  0.1110  0.555  0.574  0.56
Barbosa 1983   84  0.3754  0.0075  0.0467  0.0477  0.0469  0.04
Biret 1990   55  0.5728  0.0062  0.0463  0.0471  0.0475  0.04
Blet 2003   42  0.6274  0.0044  0.0643  0.1165  0.0450  0.07
Block 1995   15  0.673  0.086  0.1512  0.542  0.525  0.53
Blumental 1952   66  0.5111  0.0223  0.0644  0.1148  0.0551  0.07
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   40  0.6258  0.0059  0.0376  0.0334  0.2444  0.08
Bunin 1987   49  0.5989  0.0041  0.0541  0.1636  0.2331  0.19
Bunin 1987b   52  0.5982  0.0034  0.0439  0.1735  0.2730  0.21
Chiu 1999   70  0.4943  0.0064  0.0559  0.0560  0.0465  0.04
Cohen 1997   88  0.2564  0.0087  0.0377  0.0369  0.0485  0.03
Cortot 1951   44  0.6162  0.0063  0.0554  0.0548  0.0661  0.05
Csalog 1996   87  0.3667  0.0078  0.0286  0.0272  0.0484  0.03
Czerny 1949   27  0.6430  0.0032  0.1028  0.2748  0.0636  0.13
Czerny 1990   28  0.6448  0.0060  0.0469  0.0469  0.0474  0.04
Duchoud 2007   62  0.5236  0.0068  0.0466  0.0463  0.0473  0.04
Ezaki 2006   23  0.6583  0.0055  0.0648  0.0676  0.0362  0.04
Falvay 1989   69  0.5065  0.0085  0.0382  0.0377  0.0480  0.03
Farrell 1958   51  0.5987  0.0057  0.0746  0.0744  0.0946  0.08
Ferenczy 1958   67  0.5168  0.0082  0.0283  0.0283  0.0389  0.02
Fliere 1977   1  0.791  0.321  0.314  0.6310  0.513  0.57
Fou 1978   20  0.6653  0.007  0.1013  0.5314  0.419  0.47
Francois 1956   60  0.5384  0.0069  0.0472  0.0477  0.0387  0.03
Friedman 1923   86  0.3790  0.0067  0.0374  0.0340  0.1753  0.07
Friedman 1923b   85  0.3779  0.0066  0.0462  0.0440  0.1748  0.08
Friedman 1930   72  0.4772  0.0065  0.0461  0.0470  0.0471  0.04
Garcia 2007   54  0.5866  0.0046  0.0551  0.0528  0.3138  0.12
Garcia 2007b   68  0.5056  0.0049  0.0464  0.0432  0.1549  0.08
Gierzod 1998   7  0.7115  0.0112  0.175  0.5830  0.2813  0.40
Gornostaeva 1994   5  0.7229  0.0018  0.0717  0.4124  0.3114  0.36
Groot 1988   43  0.6149  0.0043  0.0742  0.1437  0.2232  0.18
Harasiewicz 1955   19  0.674  0.074  0.183  0.6317  0.397  0.50
Hatto 1993   77  0.4561  0.0037  0.0533  0.2139  0.1235  0.16
Hatto 1997   73  0.4725  0.0039  0.0835  0.1976  0.0347  0.08
Horowitz 1949   10  0.695  0.059  0.126  0.574  0.632  0.60
Indjic 1988   75  0.4688  0.0038  0.0534  0.2155  0.0542  0.10
Kapell 1951   58  0.5459  0.0070  0.0471  0.0482  0.0382  0.03
Kissin 1993   4  0.748  0.045  0.217  0.5715  0.436  0.50
Kushner 1989   11  0.6937  0.0019  0.0615  0.4339  0.1624  0.26
Luisada 1991   33  0.6441  0.0040  0.0540  0.1746  0.0639  0.10
Lushtak 2004   46  0.6055  0.0056  0.0747  0.0761  0.0460  0.05
Malcuzynski 1961   6  0.7210  0.0314  0.109  0.5614  0.418  0.48
Magaloff 1978   38  0.6233  0.0053  0.0460  0.0439  0.1645  0.08
Magin 1975   13  0.6834  0.0026  0.0825  0.3130  0.2123  0.26
Michalowski 1933   57  0.5620  0.0135  0.0437  0.1741  0.1734  0.17
Milkina 1970   25  0.6580  0.0029  0.0724  0.3333  0.2125  0.26
Mohovich 1999   30  0.6419  0.0145  0.0545  0.1053  0.0552  0.07
Moravec 1969   82  0.3740  0.0088  0.0375  0.0379  0.0378  0.03
Morozova 2008   18  0.6750  0.0020  0.0819  0.3934  0.1826  0.26
Neighaus 1950   3  0.762  0.102  0.222  0.686  0.571  0.62
Niedzielski 1931   59  0.5331  0.0058  0.0470  0.0473  0.0381  0.03
Ohlsson 1999   36  0.6338  0.0047  0.0650  0.0666  0.0457  0.05
Osinska 1989   8  0.7046  0.0027  0.0818  0.4034  0.2320  0.30
Pachmann 1927   45  0.6039  0.0033  0.0536  0.176  0.5121  0.29
Paderewski 1930   12  0.6923  0.0024  0.0627  0.2815  0.3419  0.31
Perlemuter 1992   32  0.6435  0.0031  0.0829  0.2655  0.0440  0.10
Pierdomenico 2008   56  0.5760  0.0061  0.0468  0.0436  0.2341  0.10
Poblocka 1999   14  0.6822  0.0021  0.0816  0.4137  0.1622  0.26
Rabcewiczowa 1932   63  0.5270  0.0081  0.0288  0.0278  0.0388  0.02
Rachmaninoff 1923   61  0.5227  0.0048  0.0553  0.0578  0.0366  0.04
Rangell 2001   47  0.5918  0.0116  0.0926  0.289  0.4515  0.35
Richter 1976   34  0.6421  0.0022  0.0620  0.3711  0.4811  0.42
Rosen 1989   22  0.6626  0.0025  0.0730  0.2631  0.2427  0.25
Rosenthal 1930   64  0.5171  0.0073  0.0556  0.0549  0.0559  0.05
Rosenthal 1931   81  0.4186  0.0084  0.0378  0.0361  0.0483  0.03
Rosenthal 1931b   80  0.4291  0.0077  0.0381  0.0367  0.0486  0.03
Rosenthal 1931c   71  0.4873  0.0080  0.0287  0.0274  0.0391  0.02
Rosenthal 1931d   76  0.4576  0.0083  0.0285  0.0244  0.1076  0.04
Rossi 2007   78  0.4481  0.0086  0.0284  0.0265  0.0479  0.03
Rubinstein 1939   83  0.3777  0.0076  0.0379  0.0356  0.0567  0.04
Rubinstein 1952   79  0.4451  0.0079  0.0380  0.0356  0.0677  0.04
Rubinstein 1966   65  0.5175  0.0072  0.0557  0.0547  0.0658  0.05
Schilhawsky 1960   39  0.6216  0.0117  0.0921  0.3644  0.1528  0.23
Shebanova 2002   9  0.7024  0.0015  0.1214  0.5121  0.3412  0.42
Smith 1975   26  0.6578  0.0054  0.0552  0.0550  0.0556  0.05
Sokolov 2002   50  0.5945  0.0052  0.0465  0.0448  0.0564  0.04
Sztompka 1959   35  0.6452  0.0051  0.0649  0.0660  0.0654  0.06
Tomsic 1995   53  0.5842  0.0071  0.0558  0.0568  0.0468  0.04
Uninsky 1932   37  0.6217  0.0136  0.0431  0.2438  0.2129  0.22
Uninsky 1971   24  0.657  0.0413  0.1222  0.3633  0.2817  0.32
Wasowski 1980   31  0.6444  0.0042  0.0638  0.1731  0.1733  0.17
Zak 1937   21  0.669  0.0310  0.148  0.5724  0.3310  0.43
Zak 1951   29  0.6413  0.0211  0.1911  0.5531  0.1916  0.32
Average   2  0.796  0.043  0.161  0.6939  0.1518  0.32
Random 1   90  -0.1057  0.0090  0.0190  0.0124  0.3455  0.06
Random 2   91  -0.1285  0.0089  0.0189  0.0136  0.1572  0.04
Random 3   89  -0.0569  0.0091  0.0191  0.0167  0.0490  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).