Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.6313  0.0114  0.079  0.518  0.5011  0.50
Anderszewski 2003   40  0.5041  0.0013  0.0820  0.4212  0.5116  0.46
Ashkenazy 1981   28  0.5453  0.0028  0.0725  0.4130  0.2627  0.33
Bacha 2000   64  0.3950  0.0074  0.0375  0.0368  0.0374  0.03
Badura 1965   36  0.5111  0.0131  0.1027  0.369  0.4722  0.41
Barbosa 1983   19  0.5638  0.0018  0.0711  0.5012  0.4813  0.49
Biret 1990   25  0.5530  0.0035  0.0834  0.2825  0.3828  0.33
Blet 2003   17  0.5860  0.0030  0.0919  0.4415  0.4220  0.43
Block 1995   63  0.4037  0.0056  0.0456  0.0457  0.0470  0.04
Blumental 1952   32  0.5227  0.0024  0.0631  0.334  0.5023  0.41
Boshniakovich 1969   44  0.4740  0.0057  0.0461  0.0474  0.0384  0.03
Brailowsky 1960   57  0.4215  0.0179  0.0379  0.0353  0.0561  0.04
Bunin 1987   4  0.665  0.035  0.323  0.623  0.594  0.60
Bunin 1987b   3  0.677  0.024  0.252  0.623  0.593  0.60
Chiu 1999   68  0.3757  0.0061  0.0459  0.0451  0.0562  0.04
Cohen 1997   85  0.2322  0.0076  0.0381  0.0355  0.0571  0.04
Cortot 1951   20  0.5534  0.0025  0.0628  0.3510  0.4824  0.41
Csalog 1996   71  0.3431  0.0070  0.0364  0.0352  0.0668  0.04
Czerny 1949   8  0.6217  0.0111  0.0810  0.5112  0.615  0.56
Czerny 1990   12  0.5972  0.0034  0.0924  0.4136  0.1735  0.26
Duchoud 2007   11  0.5921  0.0019  0.0717  0.4516  0.4618  0.45
Ezaki 2006   5  0.646  0.028  0.097  0.5313  0.4512  0.49
Falvay 1989   47  0.4635  0.0062  0.0367  0.0375  0.0376  0.03
Farrell 1958   58  0.4268  0.0065  0.0371  0.0370  0.0378  0.03
Ferenczy 1958   21  0.5562  0.0021  0.0832  0.326  0.4925  0.40
Fliere 1977   41  0.5084  0.0054  0.0747  0.0774  0.0454  0.05
Fou 1978   75  0.3359  0.0080  0.0366  0.0383  0.0379  0.03
Francois 1956   29  0.5418  0.0136  0.0929  0.3528  0.2731  0.31
Friedman 1923   82  0.2885  0.0046  0.0553  0.057  0.4945  0.16
Friedman 1923b   81  0.2889  0.0045  0.0650  0.069  0.5042  0.17
Friedman 1930   80  0.3063  0.0047  0.0649  0.0628  0.3146  0.14
Garcia 2007   83  0.2686  0.0077  0.0380  0.0346  0.0669  0.04
Garcia 2007b   87  0.1464  0.0086  0.0365  0.0363  0.0486  0.03
Gierzod 1998   34  0.5266  0.0038  0.0937  0.2531  0.1838  0.21
Gornostaeva 1994   22  0.559  0.0240  0.0736  0.2636  0.1837  0.22
Groot 1988   27  0.5455  0.0041  0.1038  0.2443  0.1243  0.17
Harasiewicz 1955   31  0.523  0.063  0.195  0.615  0.476  0.54
Hatto 1993   70  0.3658  0.0033  0.0840  0.2114  0.3934  0.29
Hatto 1997   48  0.4626  0.0012  0.0823  0.4212  0.4619  0.44
Horowitz 1949   66  0.3873  0.0067  0.0372  0.0374  0.0380  0.03
Indjic 1988   67  0.3845  0.0032  0.0839  0.2112  0.4032  0.29
Kapell 1951   9  0.614  0.056  0.1812  0.498  0.5210  0.50
Kissin 1993   61  0.4133  0.0075  0.0374  0.0364  0.0481  0.03
Kushner 1989   37  0.5147  0.0052  0.0554  0.0570  0.0464  0.04
Luisada 1991   65  0.3836  0.0081  0.0457  0.0473  0.0459  0.04
Lushtak 2004   30  0.5351  0.0022  0.0722  0.4220  0.4321  0.42
Malcuzynski 1961   10  0.6019  0.0110  0.1018  0.4536  0.2129  0.31
Magaloff 1978   45  0.4644  0.0055  0.0555  0.0568  0.0363  0.04
Magin 1975   55  0.4342  0.0044  0.0644  0.1251  0.0549  0.08
Michalowski 1933   49  0.4556  0.0023  0.0814  0.476  0.4615  0.46
Milkina 1970   50  0.4528  0.0071  0.0377  0.0355  0.0566  0.04
Mohovich 1999   15  0.5824  0.0017  0.0930  0.3430  0.2533  0.29
Moravec 1969   53  0.4467  0.0073  0.0373  0.0371  0.0475  0.03
Morozova 2008   43  0.4779  0.0048  0.0845  0.0875  0.0357  0.05
Neighaus 1950   26  0.5543  0.0016  0.0916  0.4534  0.2130  0.31
Niedzielski 1931   74  0.3380  0.0084  0.0383  0.0381  0.0377  0.03
Ohlsson 1999   23  0.5514  0.0126  0.0833  0.3134  0.2036  0.25
Osinska 1989   38  0.5032  0.0050  0.0651  0.0644  0.1048  0.08
Pachmann 1927   73  0.3420  0.0066  0.0368  0.0345  0.0667  0.04
Paderewski 1930   35  0.5129  0.0043  0.0843  0.1529  0.2040  0.17
Perlemuter 1992   16  0.5823  0.009  0.098  0.5210  0.538  0.52
Pierdomenico 2008   76  0.3290  0.0083  0.0284  0.0270  0.0387  0.02
Poblocka 1999   18  0.578  0.0220  0.0726  0.3716  0.3726  0.37
Rabcewiczowa 1932   14  0.5925  0.0029  0.1015  0.457  0.627  0.53
Rachmaninoff 1923   52  0.4487  0.0039  0.0741  0.1838  0.1444  0.16
Rangell 2001   54  0.4354  0.0072  0.0378  0.0359  0.0485  0.03
Richter 1976   56  0.4388  0.0053  0.0748  0.0752  0.0552  0.06
Rosen 1989   42  0.4816  0.0142  0.0642  0.1747  0.0547  0.09
Rosenthal 1930   39  0.5012  0.0149  0.0746  0.0727  0.3941  0.17
Rosenthal 1931   78  0.3170  0.0059  0.0363  0.0343  0.1253  0.06
Rosenthal 1931b   79  0.3049  0.0058  0.0362  0.0341  0.1551  0.07
Rosenthal 1931c   62  0.4169  0.0063  0.0460  0.0453  0.0573  0.04
Rosenthal 1931d   77  0.3139  0.0068  0.0458  0.0457  0.0472  0.04
Rossi 2007   84  0.2575  0.0085  0.0382  0.0338  0.1055  0.05
Rubinstein 1939   86  0.1448  0.0088  0.0188  0.0181  0.0388  0.02
Rubinstein 1952   72  0.3474  0.0082  0.0286  0.0277  0.0390  0.02
Rubinstein 1966   59  0.4252  0.0078  0.0376  0.0371  0.0482  0.03
Schilhawsky 1960   33  0.5271  0.0027  0.1121  0.4210  0.4917  0.45
Shebanova 2002   60  0.4265  0.0069  0.0285  0.0269  0.0583  0.03
Smith 1975   7  0.6210  0.017  0.096  0.5310  0.479  0.50
Sokolov 2002   2  0.712  0.152  0.294  0.621  0.622  0.62
Sztompka 1959   13  0.5946  0.0015  0.1013  0.4712  0.4614  0.46
Tomsic 1995   24  0.5576  0.0037  0.1035  0.2743  0.1239  0.18
Uninsky 1932   1  0.761  0.451  0.441  0.751  0.771  0.76
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   69  0.3681  0.0064  0.0369  0.0352  0.0560  0.04
Zak 1937   51  0.4582  0.0060  0.0370  0.0350  0.0565  0.04
Zak 1951   46  0.4683  0.0051  0.0552  0.0558  0.0556  0.05
Random 1   89  0.0161  0.0090  0.0190  0.0124  0.2358  0.05
Random 2   88  0.0177  0.0087  0.0287  0.0226  0.2350  0.07
Random 3   90  0.0078  0.0089  0.0189  0.0145  0.0589  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).