Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6577  0.0010  0.1012  0.5228  0.3916  0.45
Anderszewski 2003   40  0.5236  0.0047  0.0745  0.0763  0.0457  0.05
Ashkenazy 1981   37  0.5326  0.0034  0.0836  0.3333  0.2427  0.28
Bacha 2000   69  0.4374  0.0060  0.0461  0.0458  0.0460  0.04
Badura 1965   29  0.5516  0.0015  0.1037  0.3020  0.4221  0.35
Barbosa 1983   63  0.4513  0.0152  0.0651  0.0648  0.0653  0.06
Biret 1990   42  0.5228  0.0036  0.0934  0.3468  0.0447  0.12
Blet 2003   49  0.5052  0.0062  0.0380  0.0346  0.0758  0.05
Block 1995   53  0.4949  0.0057  0.0465  0.0459  0.0571  0.04
Blumental 1952   48  0.5039  0.0046  0.0646  0.0683  0.0372  0.04
Boshniakovich 1969   13  0.6146  0.0012  0.119  0.5527  0.4410  0.49
Brailowsky 1960   64  0.4531  0.0073  0.0471  0.0459  0.0561  0.04
Bunin 1987   61  0.4644  0.0055  0.0458  0.0425  0.3946  0.12
Bunin 1987b   65  0.4559  0.0056  0.0650  0.0625  0.3939  0.15
Chiu 1999   62  0.4678  0.0066  0.0462  0.0464  0.0463  0.04
Cohen 1997   87  0.2970  0.0086  0.0384  0.0348  0.0574  0.04
Cortot 1951   32  0.5429  0.0049  0.0459  0.0416  0.4944  0.14
Csalog 1996   77  0.3953  0.0068  0.0470  0.0466  0.0467  0.04
Czerny 1949   6  0.657  0.015  0.235  0.5916  0.547  0.56
Czerny 1990   24  0.5838  0.0025  0.0818  0.4746  0.0835  0.19
Duchoud 2007   80  0.3851  0.0074  0.0464  0.0460  0.0569  0.04
Ezaki 2006   17  0.5937  0.0027  0.0825  0.4332  0.3019  0.36
Falvay 1989   83  0.3580  0.0085  0.0287  0.0282  0.0389  0.02
Farrell 1958   72  0.4175  0.0071  0.0463  0.0473  0.0466  0.04
Ferenczy 1958   39  0.5263  0.0045  0.0647  0.0629  0.3443  0.14
Fliere 1977   9  0.6445  0.009  0.158  0.5538  0.1824  0.31
Fou 1978   19  0.5933  0.0023  0.0726  0.4237  0.1830  0.27
Francois 1956   71  0.4256  0.0070  0.0477  0.0473  0.0480  0.04
Friedman 1923   34  0.5384  0.0044  0.0943  0.1828  0.3732  0.26
Friedman 1923b   33  0.5485  0.0039  0.0935  0.3325  0.4218  0.37
Friedman 1930   51  0.5089  0.0053  0.0649  0.0634  0.3045  0.13
Garcia 2007   55  0.4890  0.0059  0.0476  0.0453  0.0570  0.04
Garcia 2007b   30  0.5471  0.0033  0.0733  0.3426  0.3522  0.34
Gierzod 1998   14  0.614  0.027  0.197  0.5730  0.3813  0.47
Gornostaeva 1994   46  0.5118  0.0051  0.0553  0.0570  0.0375  0.04
Groot 1988   76  0.3954  0.0077  0.0473  0.0478  0.0478  0.04
Harasiewicz 1955   2  0.666  0.012  0.172  0.6816  0.582  0.63
Hatto 1993   52  0.5081  0.0018  0.1020  0.4641  0.1825  0.29
Hatto 1997   44  0.5124  0.0028  0.0724  0.4538  0.1631  0.27
Horowitz 1949   25  0.5830  0.0035  0.0838  0.2812  0.5117  0.38
Indjic 1988   45  0.5186  0.0029  0.1323  0.4541  0.1726  0.28
Kapell 1951   18  0.5967  0.0019  0.1021  0.4632  0.2423  0.33
Kissin 1993   4  0.6621  0.006  0.184  0.6017  0.583  0.59
Kushner 1989   43  0.5272  0.0048  0.0555  0.0560  0.0556  0.05
Luisada 1991   21  0.5832  0.0032  0.0732  0.3552  0.0641  0.14
Lushtak 2004   66  0.4447  0.0065  0.0468  0.0478  0.0386  0.03
Malcuzynski 1961   27  0.572  0.073  0.1416  0.4811  0.4811  0.48
Magaloff 1978   59  0.4619  0.0058  0.0554  0.0574  0.0464  0.04
Magin 1975   12  0.6225  0.0022  0.0719  0.4735  0.2720  0.36
Michalowski 1933   20  0.5817  0.0014  0.1213  0.515  0.608  0.55
Milkina 1970   22  0.5822  0.0026  0.0827  0.4262  0.0542  0.14
Mohovich 1999   56  0.4768  0.0064  0.0467  0.0474  0.0473  0.04
Moravec 1969   35  0.533  0.0521  0.0944  0.1618  0.4628  0.27
Morozova 2008   11  0.625  0.0217  0.1215  0.4916  0.4414  0.46
Neighaus 1950   38  0.5382  0.0042  0.0841  0.2136  0.1636  0.18
Niedzielski 1931   15  0.6142  0.0011  0.1114  0.493  0.539  0.51
Ohlsson 1999   58  0.4743  0.0040  0.0939  0.2557  0.0548  0.11
Osinska 1989   41  0.5257  0.0043  0.0842  0.1968  0.0450  0.09
Pachmann 1927   81  0.3876  0.0087  0.0474  0.0465  0.0384  0.03
Paderewski 1930   75  0.4087  0.0075  0.0469  0.0473  0.0383  0.03
Perlemuter 1992   50  0.5041  0.0054  0.0552  0.0555  0.0554  0.05
Pierdomenico 2008   86  0.3164  0.0083  0.0385  0.0374  0.0481  0.03
Poblocka 1999   8  0.6515  0.0013  0.1211  0.5429  0.4112  0.47
Rabcewiczowa 1932   26  0.5710  0.0130  0.0731  0.3633  0.2129  0.27
Rachmaninoff 1923   28  0.5620  0.0031  0.0929  0.3846  0.0737  0.16
Rangell 2001   74  0.4061  0.0072  0.0478  0.0457  0.0576  0.04
Richter 1976   10  0.6412  0.0116  0.1210  0.5410  0.586  0.56
Rosen 1989   47  0.5079  0.0050  0.0648  0.0666  0.0559  0.05
Rosenthal 1930   68  0.4365  0.0078  0.0379  0.0379  0.0385  0.03
Rosenthal 1931   78  0.3858  0.0079  0.0472  0.0444  0.1351  0.07
Rosenthal 1931b   82  0.3666  0.0081  0.0475  0.0443  0.1252  0.07
Rosenthal 1931c   79  0.3834  0.0080  0.0382  0.0359  0.0488  0.03
Rosenthal 1931d   84  0.3455  0.0082  0.0383  0.0354  0.0577  0.04
Rossi 2007   73  0.4048  0.0076  0.0466  0.0477  0.0462  0.04
Rubinstein 1939   57  0.479  0.0163  0.0557  0.0552  0.0555  0.05
Rubinstein 1952   67  0.4323  0.0067  0.0460  0.0468  0.0479  0.04
Rubinstein 1966   70  0.4227  0.0069  0.0381  0.0371  0.0568  0.04
Schilhawsky 1960   3  0.6614  0.014  0.176  0.5914  0.555  0.57
Shebanova 2002   23  0.5883  0.0024  0.0822  0.4642  0.1333  0.24
Smith 1975   54  0.4811  0.0161  0.0556  0.0562  0.0465  0.04
Sokolov 2002   60  0.4635  0.0041  0.0740  0.2231  0.2434  0.23
Sztompka 1959   5  0.668  0.018  0.213  0.6117  0.534  0.57
Tomsic 1995   85  0.3373  0.0084  0.0286  0.0270  0.0582  0.03
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.811  0.691  0.681  0.851  0.831  0.84
Wasowski 1980   16  0.6062  0.0020  0.1017  0.4824  0.4215  0.45
Zak 1937   31  0.5488  0.0037  0.0928  0.3958  0.0638  0.15
Zak 1951   36  0.5369  0.0038  0.0930  0.3755  0.0640  0.15
Random 1   90  -0.0850  0.0090  0.0190  0.0154  0.0390  0.02
Random 2   88  -0.0140  0.0088  0.0288  0.026  0.4949  0.10
Random 3   89  -0.0860  0.0089  0.0189  0.0143  0.1087  0.03

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).