Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6826  0.0121  0.0821  0.4125  0.2722  0.33
Anderszewski 2003   42  0.5424  0.0126  0.0730  0.3223  0.3126  0.31
Ashkenazy 1981   25  0.6276  0.0030  0.0925  0.3929  0.2724  0.32
Bacha 2000   72  0.4077  0.0080  0.0285  0.0276  0.0385  0.02
Badura 1965   32  0.6016  0.0129  0.0728  0.3613  0.4218  0.39
Barbosa 1983   21  0.6538  0.0016  0.0720  0.4214  0.4312  0.42
Biret 1990   26  0.6231  0.0036  0.0631  0.2939  0.1534  0.21
Blet 2003   6  0.7253  0.0014  0.1017  0.4318  0.3817  0.40
Block 1995   66  0.4328  0.0066  0.0465  0.0467  0.0463  0.04
Blumental 1952   41  0.5444  0.0037  0.0743  0.1818  0.2732  0.22
Boshniakovich 1969   44  0.5469  0.0061  0.0461  0.0463  0.0465  0.04
Brailowsky 1960   70  0.4225  0.0184  0.0284  0.0270  0.0471  0.03
Bunin 1987   3  0.773  0.053  0.253  0.585  0.553  0.56
Bunin 1987b   2  0.778  0.022  0.182  0.585  0.552  0.56
Chiu 1999   69  0.4270  0.0062  0.0462  0.0468  0.0455  0.04
Cohen 1997   86  0.1845  0.0079  0.0281  0.0269  0.0389  0.02
Cortot 1951   17  0.669  0.0218  0.1115  0.4412  0.4510  0.44
Csalog 1996   76  0.3721  0.0155  0.0551  0.0553  0.0653  0.05
Czerny 1949   10  0.6942  0.0022  0.0916  0.4317  0.4015  0.41
Czerny 1990   7  0.7254  0.0020  0.1011  0.4626  0.2521  0.34
Duchoud 2007   8  0.7111  0.019  0.0914  0.4412  0.459  0.44
Ezaki 2006   11  0.6923  0.0123  0.0718  0.4250  0.0638  0.16
Falvay 1989   54  0.4955  0.0070  0.0554  0.0584  0.0357  0.04
Farrell 1958   48  0.5259  0.0063  0.0467  0.0468  0.0458  0.04
Ferenczy 1958   24  0.6312  0.0111  0.0727  0.369  0.4813  0.42
Fliere 1977   34  0.5971  0.0056  0.0553  0.0583  0.0354  0.04
Fou 1978   83  0.3281  0.0086  0.0375  0.0387  0.0287  0.02
Francois 1956   37  0.5720  0.0142  0.0740  0.1936  0.1341  0.16
Friedman 1923   82  0.3289  0.0043  0.0839  0.195  0.5325  0.32
Friedman 1923b   77  0.3491  0.0038  0.0637  0.214  0.5323  0.33
Friedman 1930   80  0.3451  0.0044  0.0844  0.1733  0.2335  0.20
Garcia 2007   62  0.4572  0.0053  0.0549  0.0517  0.3543  0.13
Garcia 2007b   87  0.1388  0.0077  0.0379  0.0377  0.0384  0.03
Gierzod 1998   31  0.6046  0.0039  0.0632  0.2844  0.1137  0.18
Gornostaeva 1994   39  0.5634  0.0059  0.0552  0.0568  0.0366  0.04
Groot 1988   33  0.6039  0.0045  0.0845  0.1557  0.0449  0.08
Harasiewicz 1955   40  0.552  0.065  0.184  0.5320  0.3314  0.42
Hatto 1993   75  0.3849  0.0035  0.0842  0.1821  0.3231  0.24
Hatto 1997   60  0.4647  0.0027  0.0835  0.2320  0.3628  0.29
Horowitz 1949   63  0.4473  0.0067  0.0370  0.0366  0.0476  0.03
Indjic 1988   73  0.4078  0.0034  0.0841  0.1824  0.3230  0.24
Kapell 1951   13  0.686  0.036  0.1010  0.4613  0.476  0.46
Kissin 1993   64  0.4361  0.0082  0.0282  0.0268  0.0477  0.03
Kushner 1989   35  0.5856  0.0051  0.0460  0.0471  0.0374  0.03
Luisada 1991   71  0.4162  0.0075  0.0380  0.0378  0.0369  0.03
Lushtak 2004   23  0.6352  0.0013  0.0819  0.4219  0.3619  0.39
Malcuzynski 1961   20  0.6613  0.0125  0.0924  0.4037  0.1429  0.24
Magaloff 1978   51  0.5079  0.0065  0.0464  0.0453  0.0456  0.04
Magin 1975   61  0.4582  0.0047  0.0548  0.0552  0.0552  0.05
Michalowski 1933   45  0.5350  0.0010  0.077  0.489  0.457  0.46
Milkina 1970   59  0.4640  0.0083  0.0374  0.0380  0.0375  0.03
Mohovich 1999   16  0.6743  0.0028  0.0829  0.3556  0.0445  0.12
Moravec 1969   53  0.5083  0.0069  0.0372  0.0375  0.0368  0.03
Morozova 2008   52  0.5064  0.0050  0.0463  0.0473  0.0379  0.03
Neighaus 1950   29  0.6030  0.0031  0.1126  0.3754  0.0542  0.14
Niedzielski 1931   67  0.4265  0.0078  0.0377  0.0370  0.0373  0.03
Ohlsson 1999   30  0.6014  0.0133  0.0733  0.2743  0.1336  0.19
Osinska 1989   38  0.567  0.0249  0.0557  0.0544  0.0950  0.07
Pachmann 1927   74  0.3848  0.0068  0.0468  0.0449  0.0561  0.04
Paderewski 1930   27  0.6141  0.0040  0.0638  0.2127  0.2233  0.21
Perlemuter 1992   14  0.6827  0.0015  0.089  0.4720  0.3416  0.40
Pierdomenico 2008   68  0.4257  0.0081  0.0286  0.0282  0.0386  0.02
Poblocka 1999   22  0.654  0.0417  0.0723  0.4024  0.3220  0.36
Rabcewiczowa 1932   19  0.6633  0.0024  0.0722  0.4111  0.4611  0.43
Rachmaninoff 1923   43  0.5480  0.0032  0.0834  0.2744  0.0939  0.16
Rangell 2001   57  0.4618  0.0176  0.0376  0.0366  0.0381  0.03
Richter 1976   46  0.5360  0.0048  0.0558  0.0541  0.0851  0.06
Rosen 1989   47  0.5222  0.0158  0.0547  0.0563  0.0364  0.04
Rosenthal 1930   36  0.5819  0.0146  0.0846  0.0835  0.2144  0.13
Rosenthal 1931   81  0.3490  0.0072  0.0371  0.0370  0.0378  0.03
Rosenthal 1931b   84  0.3137  0.0073  0.0369  0.0378  0.0383  0.03
Rosenthal 1931c   55  0.4884  0.0060  0.0555  0.0557  0.0467  0.04
Rosenthal 1931d   78  0.3466  0.0074  0.0378  0.0375  0.0382  0.03
Rossi 2007   85  0.2985  0.0071  0.0373  0.0372  0.0372  0.03
Rubinstein 1939   88  0.0935  0.0091  0.0191  0.0184  0.0291  0.01
Rubinstein 1952   79  0.3429  0.0090  0.0290  0.0289  0.0290  0.02
Rubinstein 1966   65  0.4386  0.0085  0.0283  0.0281  0.0288  0.02
Schilhawsky 1960   18  0.6632  0.0012  0.0812  0.458  0.478  0.46
Shebanova 2002   58  0.4617  0.0154  0.0556  0.0575  0.0362  0.04
Smith 1975   15  0.6715  0.0119  0.0913  0.4535  0.1927  0.29
Sokolov 2002   4  0.765  0.034  0.235  0.533  0.534  0.53
Sztompka 1959   9  0.7110  0.017  0.088  0.478  0.505  0.48
Tomsic 1995   28  0.6174  0.0041  0.0636  0.2147  0.0546  0.10
Uninsky 1932   1  0.871  0.501  0.491  0.721  0.741  0.73
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   56  0.4675  0.0052  0.0466  0.0482  0.0370  0.03
Zak 1937   50  0.5158  0.0064  0.0550  0.0580  0.0359  0.04
Zak 1951   49  0.5187  0.0057  0.0459  0.0470  0.0460  0.04
Average   5  0.7567  0.008  0.096  0.4947  0.0540  0.16
Random 1   89  0.0236  0.0089  0.0289  0.0220  0.3248  0.08
Random 2   91  0.0063  0.0088  0.0288  0.0221  0.2947  0.08
Random 3   90  0.0268  0.0087  0.0287  0.0247  0.0580  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).