Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6830  0.0011  0.1615  0.5811  0.5414  0.56
Anderszewski 2003   50  0.5174  0.0051  0.0655  0.0659  0.0469  0.05
Ashkenazy 1981   54  0.4949  0.0045  0.0748  0.0735  0.2149  0.12
Bacha 2000   79  0.3933  0.0060  0.0563  0.0544  0.1055  0.07
Badura 1965   22  0.5951  0.0017  0.1424  0.478  0.5817  0.52
Barbosa 1983   68  0.4311  0.0157  0.0654  0.0639  0.1552  0.09
Biret 1990   57  0.4825  0.0050  0.0846  0.0873  0.0461  0.06
Blet 2003   36  0.5581  0.0053  0.0750  0.0715  0.3941  0.17
Block 1995   46  0.5237  0.0040  0.0644  0.1333  0.2043  0.16
Blumental 1952   58  0.4836  0.0035  0.0540  0.1737  0.1644  0.16
Boshniakovich 1969   9  0.682  0.058  0.149  0.6110  0.588  0.59
Brailowsky 1960   73  0.4244  0.0075  0.0571  0.0558  0.0563  0.05
Bunin 1987   42  0.5462  0.0037  0.0842  0.1611  0.4935  0.28
Bunin 1987b   44  0.5371  0.0036  0.0541  0.167  0.5033  0.28
Chiu 1999   66  0.4421  0.0061  0.0569  0.0541  0.1254  0.08
Cohen 1997   87  0.2445  0.0079  0.0386  0.0353  0.0577  0.04
Cortot 1951   37  0.5584  0.0049  0.0747  0.075  0.6339  0.21
Csalog 1996   63  0.4438  0.0067  0.0572  0.0557  0.0568  0.05
Czerny 1949   7  0.687  0.026  0.136  0.6312  0.577  0.60
Czerny 1990   17  0.614  0.0421  0.1023  0.4832  0.3329  0.40
Duchoud 2007   78  0.4050  0.0069  0.0477  0.0444  0.1156  0.07
Ezaki 2006   35  0.5567  0.0046  0.0653  0.0663  0.0462  0.05
Falvay 1989   81  0.3552  0.0083  0.0481  0.0484  0.0383  0.03
Farrell 1958   77  0.4043  0.0064  0.0479  0.0462  0.0666  0.05
Ferenczy 1958   24  0.5947  0.0034  0.0634  0.267  0.5530  0.38
Fliere 1977   5  0.6919  0.009  0.1511  0.6114  0.4816  0.54
Fou 1978   41  0.5454  0.0032  0.0633  0.2634  0.2237  0.24
Francois 1956   60  0.4642  0.0068  0.0474  0.0449  0.0582  0.04
Friedman 1923   40  0.5485  0.0030  0.1129  0.348  0.5425  0.43
Friedman 1923b   39  0.5455  0.0029  0.1328  0.409  0.5722  0.48
Friedman 1930   48  0.5268  0.0044  0.0843  0.1620  0.4834  0.28
Garcia 2007   53  0.4972  0.0058  0.0749  0.0737  0.2547  0.13
Garcia 2007b   29  0.5848  0.0026  0.1325  0.4714  0.5121  0.49
Gierzod 1998   6  0.695  0.027  0.138  0.6219  0.549  0.58
Gornostaeva 1994   55  0.4953  0.0066  0.0568  0.0569  0.0378  0.04
Groot 1988   61  0.4529  0.0059  0.0560  0.0577  0.0479  0.04
Harasiewicz 1955   11  0.6612  0.0113  0.202  0.6810  0.633  0.65
Hatto 1993   30  0.589  0.024  0.1513  0.606  0.5513  0.57
Hatto 1997   23  0.5957  0.005  0.1314  0.597  0.5512  0.57
Horowitz 1949   31  0.5863  0.0042  0.0832  0.296  0.5528  0.40
Indjic 1988   21  0.593  0.043  0.1512  0.607  0.5511  0.57
Kapell 1951   14  0.6532  0.0020  0.1020  0.4920  0.3626  0.42
Kissin 1993   8  0.6820  0.0015  0.204  0.6410  0.624  0.63
Kushner 1989   38  0.5556  0.0052  0.0652  0.0649  0.0759  0.06
Luisada 1991   34  0.5635  0.0043  0.1035  0.2438  0.1740  0.20
Lushtak 2004   59  0.4640  0.0062  0.0651  0.0667  0.0471  0.05
Malcuzynski 1961   43  0.5415  0.0118  0.1139  0.1921  0.3336  0.25
Magaloff 1978   67  0.4328  0.0072  0.0567  0.0557  0.0473  0.04
Magin 1975   18  0.6139  0.0038  0.0537  0.2045  0.0650  0.11
Michalowski 1933   33  0.5734  0.0023  0.1126  0.447  0.5918  0.51
Milkina 1970   19  0.6010  0.0128  0.1227  0.4238  0.2432  0.32
Mohovich 1999   49  0.5118  0.0155  0.0559  0.0547  0.0860  0.06
Moravec 1969   62  0.4526  0.0074  0.0558  0.0542  0.1353  0.08
Morozova 2008   32  0.5769  0.0039  0.0538  0.2036  0.2438  0.22
Neighaus 1950   25  0.5970  0.0024  0.1219  0.5017  0.4920  0.49
Niedzielski 1931   27  0.5861  0.0033  0.0631  0.2914  0.4631  0.37
Ohlsson 1999   45  0.5322  0.0022  0.1021  0.4920  0.4523  0.47
Osinska 1989   26  0.5864  0.0031  0.0630  0.3253  0.0745  0.15
Pachmann 1927   76  0.4083  0.0081  0.0482  0.0475  0.0385  0.03
Paderewski 1930   70  0.4265  0.0063  0.0478  0.0430  0.2751  0.10
Perlemuter 1992   47  0.5260  0.0048  0.0657  0.0625  0.3246  0.14
Pierdomenico 2008   80  0.3689  0.0080  0.0480  0.0469  0.0475  0.04
Poblocka 1999   2  0.7317  0.0112  0.2310  0.6111  0.5410  0.57
Rabcewiczowa 1932   51  0.5058  0.0056  0.0561  0.0550  0.0565  0.05
Rachmaninoff 1923   56  0.4931  0.0054  0.0845  0.0853  0.0558  0.06
Rangell 2001   75  0.4178  0.0076  0.0564  0.0547  0.0672  0.05
Richter 1976   4  0.706  0.0214  0.203  0.642  0.682  0.66
Rosen 1989   28  0.5859  0.0041  0.0736  0.2142  0.1342  0.17
Rosenthal 1930   69  0.4275  0.0078  0.0475  0.0454  0.0476  0.04
Rosenthal 1931   84  0.2941  0.0085  0.0387  0.0377  0.0386  0.03
Rosenthal 1931b   85  0.2890  0.0086  0.0483  0.0484  0.0289  0.03
Rosenthal 1931c   82  0.3479  0.0084  0.0562  0.0575  0.0380  0.04
Rosenthal 1931d   86  0.2686  0.0087  0.0385  0.0380  0.0388  0.03
Rossi 2007   83  0.3177  0.0082  0.0570  0.0558  0.0564  0.05
Rubinstein 1939   65  0.4424  0.0071  0.0476  0.0484  0.0384  0.03
Rubinstein 1952   74  0.4127  0.0073  0.0565  0.0565  0.0481  0.04
Rubinstein 1966   71  0.4287  0.0070  0.0656  0.0663  0.0570  0.05
Schilhawsky 1960   3  0.718  0.022  0.257  0.6210  0.596  0.60
Shebanova 2002   13  0.6546  0.0016  0.1916  0.5619  0.4519  0.50
Smith 1975   52  0.5013  0.0165  0.0473  0.0451  0.0574  0.04
Sokolov 2002   64  0.4423  0.0047  0.0566  0.0528  0.2748  0.12
Sztompka 1959   12  0.6614  0.0110  0.135  0.6313  0.575  0.60
Tomsic 1995   72  0.4288  0.0077  0.0484  0.0454  0.0767  0.05
Uninsky 1932   1  0.811  0.621  0.621  0.831  0.851  0.84
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   15  0.6216  0.0119  0.1017  0.537  0.5615  0.54
Zak 1937   16  0.6176  0.0025  0.1418  0.5122  0.4224  0.46
Zak 1951   20  0.6066  0.0027  0.1622  0.4825  0.3627  0.42
Random 1   88  -0.0480  0.0088  0.0288  0.0223  0.2757  0.07
Random 2   89  -0.0873  0.0090  0.0190  0.0137  0.1187  0.03
Random 3   90  -0.0982  0.0089  0.0189  0.0151  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).