Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6769  0.0026  0.1024  0.4714  0.5023  0.48
Anderszewski 2003   12  0.702  0.055  0.1410  0.624  0.6510  0.63
Ashkenazy 1981   60  0.5547  0.0062  0.0650  0.0654  0.0680  0.06
Bacha 2000   43  0.5948  0.0034  0.0743  0.202  0.6338  0.35
Badura 1965   49  0.5871  0.0050  0.0652  0.0610  0.5650  0.18
Barbosa 1983   67  0.523  0.0315  0.0935  0.3211  0.5731  0.43
Biret 1990   11  0.709  0.013  0.214  0.692  0.715  0.70
Blet 2003   56  0.5683  0.0058  0.0561  0.057  0.4952  0.16
Block 1995   61  0.5588  0.0057  0.0746  0.0722  0.3455  0.15
Blumental 1952   32  0.6223  0.0014  0.1228  0.458  0.5224  0.48
Boshniakovich 1969   22  0.6437  0.0030  0.1029  0.4327  0.4528  0.44
Brailowsky 1960   51  0.5766  0.0072  0.0572  0.0522  0.4554  0.15
Bunin 1987   87  0.3975  0.0086  0.0288  0.0278  0.0391  0.02
Bunin 1987b   88  0.3984  0.0085  0.0386  0.0368  0.0488  0.03
Chiu 1999   71  0.5173  0.0069  0.0571  0.0535  0.1673  0.09
Cohen 1997   86  0.4121  0.0067  0.0479  0.048  0.4658  0.14
Cortot 1951   80  0.4876  0.0082  0.0476  0.0434  0.2772  0.10
Csalog 1996   68  0.528  0.0163  0.0564  0.0525  0.3464  0.13
Czerny 1949   19  0.664  0.0222  0.0919  0.5019  0.5322  0.51
Czerny 1990   5  0.7178  0.0011  0.247  0.677  0.726  0.69
Duchoud 2007   82  0.4770  0.0070  0.0565  0.0517  0.3757  0.14
Ezaki 2006   6  0.7112  0.0110  0.186  0.673  0.744  0.70
Falvay 1989   37  0.6158  0.0049  0.0657  0.0611  0.5249  0.18
Farrell 1958   38  0.6067  0.0029  0.0826  0.458  0.5821  0.51
Ferenczy 1958   83  0.4585  0.0088  0.0478  0.0457  0.0486  0.04
Fliere 1977   13  0.6957  0.0019  0.1120  0.4928  0.3235  0.40
Fou 1978   7  0.716  0.028  0.1211  0.603  0.6212  0.61
Francois 1956   47  0.5850  0.0056  0.0748  0.0714  0.5348  0.19
Friedman 1923   69  0.5128  0.0065  0.0559  0.0532  0.3566  0.13
Friedman 1923b   66  0.5253  0.0064  0.0566  0.0532  0.3759  0.14
Friedman 1930   74  0.5111  0.0171  0.0651  0.0640  0.2271  0.11
Garcia 2007   70  0.5156  0.0068  0.0569  0.0535  0.2768  0.12
Garcia 2007b   57  0.5679  0.0051  0.0473  0.0430  0.3470  0.12
Gierzod 1998   3  0.727  0.017  0.153  0.7112  0.618  0.66
Gornostaeva 1994   20  0.6526  0.0031  0.1323  0.487  0.6020  0.54
Groot 1988   41  0.5959  0.0036  0.0733  0.338  0.4836  0.40
Harasiewicz 1955   10  0.7013  0.019  0.145  0.684  0.717  0.69
Hatto 1993   58  0.5680  0.0054  0.0653  0.0652  0.0681  0.06
Hatto 1997   54  0.5681  0.0055  0.0747  0.0746  0.0779  0.07
Horowitz 1949   65  0.5240  0.0073  0.0474  0.0428  0.4563  0.13
Indjic 1988   53  0.5762  0.0053  0.0558  0.0559  0.0583  0.05
Kapell 1951   24  0.6438  0.0024  0.0721  0.4920  0.3830  0.43
Kissin 1993   15  0.6833  0.0016  0.1013  0.5917  0.5916  0.59
Kushner 1989   4  0.7122  0.0012  0.159  0.634  0.679  0.65
Luisada 1991   17  0.6725  0.0018  0.1117  0.523  0.7014  0.60
Lushtak 2004   62  0.5531  0.0048  0.0654  0.0632  0.2469  0.12
Malcuzynski 1961   21  0.6543  0.0027  0.1025  0.476  0.6119  0.54
Magaloff 1978   29  0.6339  0.0044  0.0744  0.183  0.5639  0.32
Magin 1975   26  0.6449  0.0028  0.0832  0.4118  0.4629  0.43
Michalowski 1933   73  0.5174  0.0076  0.0477  0.0438  0.2174  0.09
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   8  0.7124  0.004  0.148  0.672  0.783  0.72
Moravec 1969   55  0.5627  0.0061  0.0560  0.0510  0.6051  0.17
Morozova 2008   23  0.6410  0.0117  0.1016  0.542  0.6813  0.61
Neighaus 1950   64  0.5332  0.0075  0.0568  0.0560  0.0584  0.05
Niedzielski 1931   84  0.4589  0.0083  0.0570  0.0585  0.0385  0.04
Ohlsson 1999   40  0.6036  0.0033  0.0731  0.4223  0.4333  0.42
Osinska 1989   2  0.7534  0.002  0.372  0.753  0.762  0.75
Pachmann 1927   79  0.4877  0.0084  0.0287  0.0228  0.3177  0.08
Paderewski 1930   85  0.4390  0.0087  0.0383  0.0356  0.0489  0.03
Perlemuter 1992   50  0.5760  0.0059  0.0567  0.0524  0.3561  0.13
Pierdomenico 2008   77  0.4986  0.0066  0.0480  0.0420  0.4262  0.13
Poblocka 1999   31  0.6229  0.0041  0.0740  0.2333  0.3743  0.29
Rabcewiczowa 1932   44  0.5944  0.0045  0.0845  0.1526  0.2845  0.20
Rachmaninoff 1923   45  0.5942  0.0043  0.0742  0.2132  0.2544  0.23
Rangell 2001   52  0.5782  0.0047  0.0649  0.063  0.6047  0.19
Richter 1976   81  0.4746  0.0078  0.0385  0.0347  0.0782  0.05
Rosen 1989   9  0.7014  0.0013  0.2412  0.605  0.6711  0.63
Rosenthal 1930   75  0.5065  0.0079  0.0384  0.0331  0.2875  0.09
Rosenthal 1931   72  0.5163  0.0077  0.0382  0.0320  0.4667  0.12
Rosenthal 1931b   76  0.5054  0.0080  0.0475  0.0421  0.4265  0.13
Rosenthal 1931c   63  0.5330  0.0074  0.0562  0.0516  0.5353  0.16
Rosenthal 1931d   78  0.4991  0.0081  0.0481  0.0422  0.4660  0.14
Rossi 2007   42  0.5919  0.0046  0.0655  0.063  0.5946  0.19
Rubinstein 1939   30  0.6220  0.0023  0.0918  0.504  0.6718  0.58
Rubinstein 1952   36  0.6116  0.0021  0.1014  0.555  0.6515  0.60
Rubinstein 1966   18  0.665  0.026  0.1415  0.547  0.6417  0.59
Schilhawsky 1960   59  0.5541  0.0060  0.0656  0.0645  0.1078  0.08
Shebanova 2002   25  0.6451  0.0039  0.0934  0.3333  0.2742  0.30
Smith 1975   34  0.6168  0.0040  0.0641  0.2311  0.4440  0.32
Sokolov 2002   35  0.6117  0.0038  0.0938  0.296  0.5734  0.41
Sztompka 1959   14  0.6818  0.0025  0.0822  0.4831  0.4327  0.45
Tomsic 1995   46  0.5964  0.0035  0.0736  0.324  0.6525  0.46
Uninsky 1932   48  0.5855  0.0052  0.0563  0.0528  0.4256  0.14
Uninsky 1971   39  0.6035  0.0042  0.0839  0.2428  0.4241  0.32
Wasowski 1980   33  0.6215  0.0037  0.0837  0.3121  0.4337  0.37
Zak 1937   28  0.6372  0.0032  0.0930  0.4324  0.4132  0.42
Zak 1951   27  0.6345  0.0020  0.1127  0.4518  0.4626  0.45
Average   1  0.821  0.731  0.721  0.894  0.661  0.77
Random 1   90  -0.0561  0.0089  0.0289  0.0213  0.4276  0.09
Random 2   89  -0.0352  0.0091  0.0191  0.0163  0.0490  0.02
Random 3   91  -0.0887  0.0090  0.0190  0.0132  0.1987  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).