Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7920  0.0112  0.1410  0.5517  0.4019  0.47
Anderszewski 2003   17  0.7629  0.0025  0.0929  0.3419  0.2931  0.31
Ashkenazy 1981   52  0.6514  0.0134  0.0931  0.3137  0.1837  0.24
Bacha 2000   76  0.4467  0.0074  0.0382  0.0370  0.0479  0.03
Badura 1965   12  0.7734  0.008  0.1111  0.542  0.621  0.58
Barbosa 1983   85  0.3430  0.0078  0.0475  0.0471  0.0474  0.04
Biret 1990   64  0.5713  0.0155  0.0653  0.0661  0.0467  0.05
Blet 2003   42  0.6762  0.0046  0.0565  0.0536  0.1751  0.09
Block 1995   40  0.6777  0.0024  0.0834  0.2512  0.3533  0.30
Blumental 1952   75  0.4650  0.0067  0.0472  0.0444  0.0861  0.06
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   68  0.5379  0.0073  0.0377  0.0378  0.0380  0.03
Bunin 1987   56  0.6157  0.0039  0.0742  0.188  0.5034  0.30
Bunin 1987b   57  0.6058  0.0038  0.0740  0.198  0.5030  0.31
Chiu 1999   73  0.4784  0.0068  0.0564  0.0549  0.0470  0.04
Cohen 1997   88  0.2165  0.0083  0.0286  0.0271  0.0390  0.02
Cortot 1951   39  0.6744  0.0050  0.0746  0.0727  0.3044  0.14
Csalog 1996   83  0.3660  0.0079  0.0474  0.0486  0.0284  0.03
Czerny 1949   16  0.7641  0.0010  0.1020  0.4725  0.4420  0.45
Czerny 1990   51  0.6663  0.0061  0.0569  0.0545  0.0957  0.07
Duchoud 2007   60  0.5926  0.0151  0.0555  0.0514  0.3545  0.13
Ezaki 2006   41  0.6785  0.0054  0.0654  0.0648  0.0562  0.05
Falvay 1989   84  0.3672  0.0085  0.0287  0.0267  0.0581  0.03
Farrell 1958   70  0.5254  0.0069  0.0748  0.0766  0.0464  0.05
Ferenczy 1958   54  0.6464  0.0064  0.0652  0.0647  0.0760  0.06
Fliere 1977   2  0.8212  0.016  0.117  0.5714  0.4112  0.48
Fou 1978   48  0.6680  0.0045  0.0744  0.1434  0.1839  0.16
Francois 1956   58  0.6053  0.0065  0.0561  0.0564  0.0478  0.04
Friedman 1923   35  0.6868  0.0033  0.0826  0.3720  0.4625  0.41
Friedman 1923b   37  0.6873  0.0031  0.0825  0.3821  0.4622  0.42
Friedman 1930   25  0.7217  0.0130  0.0727  0.3618  0.4723  0.41
Garcia 2007   36  0.6852  0.0048  0.0556  0.0544  0.1354  0.08
Garcia 2007b   49  0.6688  0.0043  0.0741  0.1840  0.1541  0.16
Gierzod 1998   4  0.816  0.045  0.125  0.5812  0.485  0.53
Gornostaeva 1994   26  0.728  0.0332  0.0736  0.2215  0.3335  0.27
Groot 1988   63  0.5732  0.0060  0.0562  0.0551  0.0668  0.05
Harasiewicz 1955   5  0.801  0.221  0.222  0.625  0.532  0.57
Hatto 1993   38  0.6737  0.0020  0.1613  0.5411  0.508  0.52
Hatto 1997   31  0.6931  0.0019  0.1014  0.549  0.507  0.52
Horowitz 1949   15  0.7656  0.0022  0.1022  0.458  0.5215  0.48
Indjic 1988   30  0.7010  0.0314  0.1012  0.5410  0.506  0.52
Kapell 1951   50  0.6659  0.0037  0.0835  0.2343  0.0843  0.14
Kissin 1993   7  0.7922  0.0113  0.1816  0.5216  0.4417  0.48
Kushner 1989   32  0.6933  0.0049  0.0650  0.0647  0.0658  0.06
Luisada 1991   44  0.6738  0.0042  0.0643  0.1761  0.0549  0.09
Lushtak 2004   59  0.5935  0.0057  0.0567  0.0541  0.1255  0.08
Malcuzynski 1961   29  0.707  0.0329  0.0733  0.256  0.4629  0.34
Magaloff 1978   71  0.5139  0.0071  0.0558  0.0559  0.0563  0.05
Magin 1975   19  0.7528  0.0027  0.1030  0.3435  0.2036  0.26
Michalowski 1933   10  0.7824  0.0116  0.0721  0.466  0.5410  0.50
Milkina 1970   43  0.6736  0.0052  0.0568  0.0550  0.0565  0.05
Mohovich 1999   62  0.5955  0.0063  0.0559  0.0563  0.0566  0.05
Moravec 1969   86  0.3169  0.0088  0.0384  0.0383  0.0288  0.02
Morozova 2008   34  0.6961  0.0035  0.0732  0.2836  0.1938  0.23
Neighaus 1950   3  0.814  0.103  0.184  0.5810  0.523  0.55
Niedzielski 1931   55  0.6327  0.0058  0.0560  0.0574  0.0373  0.04
Ohlsson 1999   27  0.7142  0.0023  0.0924  0.4220  0.3826  0.40
Osinska 1989   24  0.7251  0.0040  0.0639  0.2066  0.0450  0.09
Pachmann 1927   22  0.7311  0.0247  0.0566  0.053  0.5140  0.16
Paderewski 1930   28  0.7018  0.0136  0.0838  0.2110  0.4432  0.30
Perlemuter 1992   47  0.6643  0.0044  0.0745  0.1345  0.1047  0.11
Pierdomenico 2008   66  0.5448  0.0066  0.0570  0.0543  0.1353  0.08
Poblocka 1999   9  0.7840  0.009  0.109  0.5515  0.479  0.51
Rabcewiczowa 1932   72  0.5083  0.0075  0.0378  0.0380  0.0382  0.03
Rachmaninoff 1923   61  0.5981  0.0062  0.0471  0.0462  0.0471  0.04
Rangell 2001   69  0.5346  0.0059  0.0473  0.0412  0.4046  0.13
Richter 1976   8  0.785  0.077  0.1119  0.474  0.624  0.54
Rosen 1989   45  0.6786  0.0053  0.0749  0.0741  0.1152  0.09
Rosenthal 1930   65  0.5474  0.0070  0.0747  0.0733  0.1348  0.10
Rosenthal 1931   81  0.3889  0.0087  0.0379  0.0387  0.0383  0.03
Rosenthal 1931b   80  0.3870  0.0084  0.0385  0.0383  0.0385  0.03
Rosenthal 1931c   79  0.4087  0.0081  0.0381  0.0380  0.0386  0.03
Rosenthal 1931d   82  0.3890  0.0086  0.0288  0.0281  0.0391  0.02
Rossi 2007   78  0.4119  0.0180  0.0383  0.0360  0.0569  0.04
Rubinstein 1939   77  0.4475  0.0077  0.0557  0.0579  0.0472  0.04
Rubinstein 1952   87  0.2566  0.0082  0.0380  0.0388  0.0387  0.03
Rubinstein 1966   74  0.4649  0.0076  0.0476  0.0478  0.0475  0.04
Schilhawsky 1960   18  0.7516  0.0121  0.0918  0.4915  0.4818  0.48
Shebanova 2002   14  0.7615  0.0115  0.0917  0.5125  0.3521  0.42
Smith 1975   46  0.6621  0.0156  0.0651  0.0641  0.0956  0.07
Sokolov 2002   53  0.6423  0.0126  0.0828  0.359  0.4128  0.38
Sztompka 1959   11  0.7776  0.0011  0.103  0.5818  0.4016  0.48
Tomsic 1995   67  0.5345  0.0072  0.0563  0.0551  0.0759  0.06
Uninsky 1932   23  0.7378  0.0028  0.1123  0.4423  0.3824  0.41
Uninsky 1971   13  0.772  0.114  0.1315  0.538  0.4711  0.50
Wasowski 1980   33  0.6947  0.0041  0.0637  0.2142  0.1042  0.14
Zak 1937   20  0.749  0.0318  0.106  0.5712  0.4013  0.48
Zak 1951   21  0.7325  0.0117  0.078  0.5711  0.4014  0.48
Average   1  0.823  0.102  0.181  0.6331  0.2627  0.40
Random 1   91  -0.2382  0.0089  0.0189  0.0132  0.1876  0.04
Random 2   90  -0.1791  0.0090  0.0190  0.0160  0.0389  0.02
Random 3   89  -0.1171  0.0091  0.0191  0.0136  0.1877  0.04

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).