Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.3367  0.0070  0.0651  0.0654  0.0578  0.05
Anderszewski 2003   39  0.405  0.057  0.1213  0.587  0.6714  0.62
Ashkenazy 1981   38  0.4073  0.0042  0.0639  0.2027  0.3740  0.27
Bacha 2000   70  0.3084  0.0078  0.0475  0.0450  0.0674  0.05
Badura 1965   64  0.3375  0.0060  0.0482  0.0418  0.4153  0.13
Barbosa 1983   14  0.4717  0.0110  0.119  0.683  0.705  0.69
Biret 1990   62  0.3351  0.0064  0.0564  0.0539  0.2161  0.10
Blet 2003   41  0.4055  0.0050  0.0746  0.0718  0.4846  0.18
Block 1995   35  0.4054  0.0035  0.0627  0.3220  0.4928  0.40
Blumental 1952   58  0.3557  0.0068  0.0560  0.0555  0.0679  0.05
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   61  0.3469  0.0059  0.0474  0.0429  0.3556  0.12
Bunin 1987   55  0.3627  0.0053  0.0559  0.0525  0.3655  0.13
Bunin 1987b   56  0.3558  0.0057  0.0561  0.0529  0.3352  0.13
Chiu 1999   66  0.3160  0.0069  0.0469  0.0462  0.0582  0.04
Cohen 1997   68  0.3178  0.0066  0.0654  0.0635  0.3054  0.13
Cortot 1951   80  0.2372  0.0075  0.0387  0.0334  0.2263  0.08
Csalog 1996   53  0.3635  0.0062  0.0472  0.0444  0.1165  0.07
Czerny 1949   77  0.2645  0.0076  0.0479  0.0444  0.1466  0.07
Czerny 1990   50  0.3670  0.0056  0.0567  0.0547  0.0871  0.06
Duchoud 2007   74  0.2964  0.0073  0.0473  0.0441  0.1070  0.06
Ezaki 2006   63  0.3363  0.0065  0.0565  0.0557  0.0673  0.05
Falvay 1989   69  0.3136  0.0054  0.0562  0.0548  0.0676  0.05
Farrell 1958   83  0.2187  0.0081  0.0477  0.0460  0.0584  0.04
Ferenczy 1958   85  0.2071  0.0084  0.0481  0.0446  0.0869  0.06
Fliere 1977   2  0.541  0.261  0.252  0.749  0.654  0.69
Fou 1978   29  0.427  0.0323  0.1120  0.4718  0.5223  0.49
Francois 1956   76  0.2853  0.0077  0.0476  0.0440  0.1564  0.08
Friedman 1923   46  0.3830  0.0047  0.0748  0.0716  0.5445  0.19
Friedman 1923b   42  0.3946  0.0040  0.0742  0.1615  0.5637  0.30
Friedman 1930   32  0.4122  0.0038  0.0736  0.2514  0.5731  0.38
Garcia 2007   16  0.469  0.029  0.1015  0.552  0.7611  0.65
Garcia 2007b   45  0.3834  0.0041  0.0743  0.1315  0.5641  0.27
Gierzod 1998   13  0.4732  0.0015  0.1510  0.635  0.6612  0.64
Gornostaeva 1994   34  0.4165  0.0028  0.0729  0.3018  0.5329  0.40
Groot 1988   40  0.4044  0.0049  0.0650  0.0648  0.0672  0.06
Harasiewicz 1955   7  0.5026  0.008  0.124  0.719  0.5813  0.64
Hatto 1993   47  0.3849  0.0046  0.0945  0.0939  0.1758  0.12
Hatto 1997   72  0.3025  0.0058  0.0557  0.0551  0.0577  0.05
Horowitz 1949   54  0.3650  0.0052  0.0468  0.0420  0.5150  0.14
Indjic 1988   52  0.3674  0.0048  0.0653  0.0640  0.1860  0.10
Kapell 1951   31  0.4142  0.0036  0.0628  0.3125  0.3135  0.31
Kissin 1993   27  0.4237  0.0032  0.0633  0.2823  0.5430  0.39
Kushner 1989   1  0.542  0.222  0.231  0.772  0.731  0.75
Luisada 1991   20  0.4431  0.0033  0.0725  0.3616  0.5027  0.42
Lushtak 2004   24  0.4416  0.0120  0.1122  0.459  0.6118  0.52
Malcuzynski 1961   3  0.534  0.064  0.176  0.694  0.677  0.68
Magaloff 1978   15  0.4719  0.0016  0.1119  0.4810  0.5519  0.51
Magin 1975   19  0.4523  0.0037  0.0734  0.2722  0.4333  0.34
Michalowski 1933   60  0.3424  0.0067  0.0566  0.0521  0.4051  0.14
Milkina 1970   71  0.3048  0.0055  0.0556  0.0544  0.1262  0.08
Mohovich 1999   9  0.493  0.103  0.188  0.684  0.716  0.69
Moravec 1969   73  0.3068  0.0072  0.0747  0.0767  0.0475  0.05
Morozova 2008   26  0.4238  0.0022  0.1323  0.4214  0.5125  0.46
Neighaus 1950   11  0.4818  0.0021  0.1318  0.542  0.6416  0.59
Niedzielski 1931   57  0.3520  0.0061  0.0470  0.0433  0.2559  0.10
Ohlsson 1999   28  0.4247  0.0026  0.1032  0.2821  0.3336  0.30
Osinska 1989   12  0.4733  0.0018  0.1114  0.5717  0.5617  0.56
Pachmann 1927   10  0.488  0.0214  0.1212  0.592  0.798  0.68
Paderewski 1930   30  0.4143  0.0034  0.0731  0.281  0.7624  0.46
Perlemuter 1992   23  0.4462  0.0027  0.0830  0.292  0.6526  0.43
Pierdomenico 2008   48  0.3859  0.0051  0.0652  0.0622  0.3948  0.15
Poblocka 1999   21  0.4466  0.0025  0.1121  0.4615  0.5322  0.49
Rabcewiczowa 1932   67  0.3177  0.0071  0.0558  0.0548  0.0768  0.06
Rachmaninoff 1923   81  0.2276  0.0082  0.0471  0.0477  0.0387  0.03
Rangell 2001   22  0.446  0.0413  0.1116  0.552  0.6615  0.60
Richter 1976   8  0.5012  0.0211  0.1411  0.639  0.7010  0.66
Rosen 1989   6  0.5021  0.0012  0.157  0.685  0.679  0.67
Rosenthal 1930   84  0.2061  0.0087  0.0478  0.0474  0.0485  0.04
Rosenthal 1931   87  0.1785  0.0085  0.0386  0.0362  0.0488  0.03
Rosenthal 1931b   82  0.2189  0.0083  0.0484  0.0446  0.0780  0.05
Rosenthal 1931c   78  0.2679  0.0080  0.0563  0.0557  0.0581  0.05
Rosenthal 1931d   86  0.2081  0.0086  0.0485  0.0462  0.0486  0.04
Rossi 2007   75  0.2888  0.0079  0.0483  0.0425  0.3457  0.12
Rubinstein 1939   79  0.2483  0.0074  0.0480  0.0464  0.0483  0.04
Rubinstein 1952   33  0.4152  0.0039  0.0738  0.2136  0.2843  0.24
Rubinstein 1966   25  0.4313  0.0219  0.1317  0.5520  0.4520  0.50
Schilhawsky 1960   18  0.4510  0.0217  0.1224  0.371  0.6821  0.50
Shebanova 2002   17  0.4639  0.0024  0.0926  0.3530  0.3532  0.35
Smith 1975   59  0.3428  0.0063  0.0649  0.0629  0.3647  0.15
Sokolov 2002   44  0.3941  0.0044  0.0644  0.1128  0.4044  0.21
Sztompka 1959   36  0.4086  0.0031  0.0640  0.1732  0.3342  0.24
Tomsic 1995   43  0.3915  0.0143  0.0741  0.1716  0.4338  0.27
Uninsky 1932   51  0.3629  0.0045  0.0655  0.0622  0.4049  0.15
Uninsky 1971   49  0.3740  0.0029  0.0737  0.2233  0.3239  0.27
Wasowski 1980   37  0.4056  0.0030  0.0735  0.2529  0.3834  0.31
Zak 1937   4  0.5114  0.025  0.173  0.732  0.762  0.74
Zak 1951   5  0.5111  0.026  0.275  0.712  0.773  0.74
Random 1   90  -0.0480  0.0089  0.0189  0.0172  0.0290  0.01
Random 2   89  -0.0382  0.0090  0.0190  0.0175  0.0389  0.02
Random 3   88  -0.0390  0.0088  0.0288  0.0225  0.2667  0.07

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).