Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6769  0.0022  0.0924  0.4728  0.4029  0.43
Anderszewski 2003   11  0.6819  0.0017  0.1118  0.5411  0.5617  0.55
Ashkenazy 1981   45  0.5758  0.0041  0.0839  0.2024  0.3140  0.25
Bacha 2000   81  0.4265  0.0079  0.0478  0.0482  0.0383  0.03
Badura 1965   24  0.6341  0.0026  0.1523  0.474  0.6319  0.54
Barbosa 1983   77  0.4416  0.0165  0.0475  0.0461  0.0579  0.04
Biret 1990   44  0.574  0.0334  0.0933  0.3228  0.2834  0.30
Blet 2003   42  0.5852  0.0051  0.0848  0.085  0.5245  0.20
Block 1995   60  0.5276  0.0042  0.0545  0.1025  0.3148  0.18
Blumental 1952   72  0.4863  0.0059  0.0558  0.0544  0.1265  0.08
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   79  0.4477  0.0081  0.0480  0.0449  0.0669  0.05
Bunin 1987   54  0.5317  0.0043  0.0542  0.126  0.5441  0.25
Bunin 1987b   57  0.5343  0.0044  0.0543  0.116  0.5342  0.24
Chiu 1999   78  0.4470  0.0076  0.0472  0.0470  0.0477  0.04
Cohen 1997   88  0.3055  0.0085  0.0483  0.0451  0.0581  0.04
Cortot 1951   68  0.4978  0.0067  0.0474  0.0427  0.4057  0.13
Csalog 1996   80  0.4324  0.0075  0.0466  0.0459  0.0580  0.04
Czerny 1949   7  0.6914  0.017  0.1315  0.5714  0.5613  0.56
Czerny 1990   26  0.6360  0.0035  0.0837  0.2735  0.2737  0.27
Duchoud 2007   69  0.498  0.0168  0.0476  0.0419  0.3260  0.11
Ezaki 2006   46  0.5788  0.0058  0.0653  0.0663  0.0468  0.05
Falvay 1989   75  0.4439  0.0082  0.0563  0.0563  0.0672  0.05
Farrell 1958   70  0.4853  0.0071  0.0561  0.0547  0.0767  0.06
Ferenczy 1958   59  0.5285  0.0073  0.0652  0.0636  0.2658  0.12
Fliere 1977   4  0.7111  0.014  0.164  0.647  0.5410  0.59
Fou 1978   37  0.6145  0.0037  0.0835  0.2830  0.2736  0.27
Francois 1956   55  0.5326  0.0066  0.0469  0.0435  0.2961  0.11
Friedman 1923   49  0.5671  0.0048  0.0750  0.0719  0.4750  0.18
Friedman 1923b   48  0.5680  0.0046  0.0749  0.0720  0.4849  0.18
Friedman 1930   39  0.5922  0.0047  0.0847  0.0820  0.4846  0.20
Garcia 2007   53  0.5437  0.0057  0.0559  0.0526  0.4154  0.14
Garcia 2007b   56  0.5366  0.0050  0.0846  0.0829  0.3453  0.16
Gierzod 1998   2  0.752  0.072  0.352  0.7415  0.601  0.67
Gornostaeva 1994   16  0.675  0.0318  0.1120  0.515  0.718  0.60
Groot 1988   65  0.5131  0.0055  0.0470  0.0451  0.0676  0.05
Harasiewicz 1955   3  0.7312  0.013  0.293  0.6712  0.623  0.64
Hatto 1993   32  0.6125  0.0015  0.178  0.5913  0.4821  0.53
Hatto 1997   29  0.629  0.0114  0.1310  0.5813  0.5018  0.54
Horowitz 1949   47  0.5761  0.0045  0.0544  0.1110  0.5343  0.24
Indjic 1988   27  0.6313  0.0113  0.129  0.5911  0.5116  0.55
Kapell 1951   40  0.5956  0.0033  0.0932  0.3337  0.2139  0.26
Kissin 1993   5  0.7054  0.006  0.177  0.6116  0.597  0.60
Kushner 1989   18  0.6621  0.0019  0.0817  0.5426  0.5022  0.52
Luisada 1991   38  0.6018  0.0036  0.0736  0.2732  0.2935  0.28
Lushtak 2004   52  0.5457  0.0054  0.0560  0.0537  0.2262  0.10
Malcuzynski 1961   14  0.676  0.0316  0.1314  0.577  0.6012  0.58
Magaloff 1978   66  0.5030  0.0070  0.0479  0.0450  0.0671  0.05
Magin 1975   10  0.6827  0.0024  0.1230  0.4228  0.3530  0.38
Michalowski 1933   33  0.6129  0.0040  0.0838  0.217  0.5933  0.35
Milkina 1970   21  0.6415  0.0128  0.1427  0.4529  0.4327  0.44
Mohovich 1999   58  0.5381  0.0056  0.0555  0.0557  0.0574  0.05
Moravec 1969   84  0.3842  0.0084  0.0387  0.0380  0.0384  0.03
Morozova 2008   36  0.6144  0.0032  0.0934  0.3224  0.4031  0.36
Neighaus 1950   8  0.6847  0.009  0.0912  0.585  0.629  0.60
Niedzielski 1931   51  0.5448  0.0063  0.0464  0.0442  0.1564  0.08
Ohlsson 1999   25  0.6386  0.0021  0.0726  0.4525  0.4128  0.43
Osinska 1989   17  0.6628  0.0027  0.1522  0.4829  0.4326  0.45
Pachmann 1927   41  0.5923  0.0061  0.0468  0.041  0.6651  0.16
Paderewski 1930   43  0.5749  0.0049  0.0651  0.063  0.6744  0.20
Perlemuter 1992   50  0.5435  0.0052  0.0467  0.0427  0.3259  0.11
Pierdomenico 2008   64  0.5138  0.0060  0.0554  0.0529  0.3455  0.13
Poblocka 1999   22  0.6473  0.0025  0.1425  0.4621  0.4725  0.46
Rabcewiczowa 1932   73  0.4689  0.0074  0.0384  0.0384  0.0386  0.03
Rachmaninoff 1923   67  0.4982  0.0069  0.0481  0.0482  0.0385  0.03
Rangell 2001   61  0.5132  0.0053  0.0557  0.057  0.5452  0.16
Richter 1976   6  0.697  0.028  0.1516  0.564  0.675  0.61
Rosen 1989   30  0.6250  0.0039  0.0641  0.1736  0.2447  0.20
Rosenthal 1930   74  0.4590  0.0078  0.0477  0.0442  0.1963  0.09
Rosenthal 1931   85  0.3583  0.0087  0.0385  0.0382  0.0387  0.03
Rosenthal 1931b   86  0.3584  0.0086  0.0288  0.0280  0.0391  0.02
Rosenthal 1931c   82  0.4064  0.0083  0.0471  0.0463  0.0482  0.04
Rosenthal 1931d   87  0.3374  0.0088  0.0386  0.0372  0.0488  0.03
Rossi 2007   76  0.4446  0.0080  0.0482  0.0454  0.0670  0.05
Rubinstein 1939   71  0.4859  0.0072  0.0556  0.0570  0.0478  0.04
Rubinstein 1952   83  0.3951  0.0077  0.0473  0.0482  0.0389  0.03
Rubinstein 1966   62  0.5140  0.0064  0.0465  0.0443  0.1466  0.07
Schilhawsky 1960   15  0.6720  0.0023  0.1021  0.5014  0.5720  0.53
Shebanova 2002   23  0.6467  0.0030  0.1429  0.4228  0.3132  0.36
Smith 1975   35  0.6136  0.0038  0.0740  0.1919  0.3538  0.26
Sokolov 2002   31  0.6210  0.0120  0.0819  0.525  0.5914  0.55
Sztompka 1959   12  0.6787  0.0010  0.0913  0.5819  0.5315  0.55
Tomsic 1995   63  0.5162  0.0062  0.0562  0.0535  0.3356  0.13
Uninsky 1932   34  0.6175  0.0029  0.1228  0.4410  0.5523  0.49
Uninsky 1971   9  0.683  0.075  0.1811  0.5810  0.6111  0.59
Wasowski 1980   28  0.6234  0.0031  0.1131  0.4111  0.5324  0.47
Zak 1937   19  0.6533  0.0012  0.116  0.629  0.604  0.61
Zak 1951   20  0.6572  0.0011  0.105  0.629  0.586  0.60
Average   1  0.791  0.601  0.591  0.8520  0.512  0.66
Random 1   90  -0.0879  0.0090  0.0190  0.0126  0.2373  0.05
Random 2   91  -0.0868  0.0091  0.0191  0.0149  0.0490  0.02
Random 3   89  -0.0391  0.0089  0.0189  0.0123  0.2575  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).