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  0.4710  0.017  0.145  0.604  0.655  0.62
Anderszewski 2003   37  0.3449  0.0036  0.0635  0.2320  0.4831  0.33
Ashkenazy 1981   33  0.3629  0.0034  0.0637  0.2045  0.1348  0.16
Bacha 2000   28  0.3845  0.0022  0.0621  0.3810  0.5619  0.46
Badura 1965   44  0.3238  0.0050  0.0946  0.0913  0.5439  0.22
Barbosa 1983   46  0.3221  0.0066  0.0657  0.0663  0.0570  0.05
Biret 1990   29  0.3785  0.0038  0.0641  0.1619  0.5835  0.30
Blet 2003   48  0.3242  0.0051  0.0747  0.0743  0.2450  0.13
Block 1995   51  0.3147  0.0054  0.0564  0.0556  0.0572  0.05
Blumental 1952   18  0.4123  0.0017  0.0911  0.488  0.657  0.56
Boshniakovich 1969   69  0.2517  0.0044  0.0744  0.1443  0.1449  0.14
Brailowsky 1960   10  0.4416  0.0111  0.087  0.585  0.704  0.64
Bunin 1987   81  0.2126  0.0080  0.0470  0.0457  0.0673  0.05
Bunin 1987b   80  0.2153  0.0079  0.0381  0.0359  0.0677  0.04
Chiu 1999   50  0.3178  0.0076  0.0471  0.0459  0.0665  0.05
Cohen 1997   26  0.3856  0.0049  0.0748  0.0724  0.4742  0.18
Cortot 1951   30  0.3786  0.0042  0.0642  0.1515  0.5736  0.29
Csalog 1996   78  0.2350  0.0087  0.0380  0.0362  0.0578  0.04
Czerny 1949   23  0.3959  0.0024  0.0625  0.3311  0.7814  0.51
Czerny 1990   83  0.2057  0.0077  0.0473  0.0459  0.0674  0.05
Duchoud 2007   49  0.3260  0.0037  0.0639  0.1745  0.1547  0.16
Ezaki 2006   3  0.505  0.024  0.203  0.662  0.782  0.72
Falvay 1989   16  0.4112  0.0121  0.0720  0.388  0.5322  0.45
Farrell 1958   73  0.2466  0.0059  0.0565  0.0564  0.0566  0.05
Ferenczy 1958   61  0.3035  0.0061  0.0560  0.0524  0.6941  0.19
Fliere 1977   42  0.3377  0.0052  0.0749  0.0752  0.0659  0.06
Fou 1978   39  0.3422  0.0035  0.0629  0.3032  0.3532  0.32
Francois 1956   19  0.4014  0.0127  0.0717  0.4216  0.6612  0.53
Friedman 1923   68  0.2687  0.0070  0.0376  0.0362  0.0682  0.04
Friedman 1923b   70  0.2562  0.0071  0.0466  0.0451  0.0962  0.06
Friedman 1930   60  0.3051  0.0056  0.0468  0.0451  0.0771  0.05
Garcia 2007   87  0.1467  0.0081  0.0379  0.0360  0.0580  0.04
Garcia 2007b   84  0.1779  0.0083  0.0289  0.0261  0.0589  0.03
Gierzod 1998   55  0.3131  0.0032  0.0732  0.2618  0.6225  0.40
Gornostaeva 1994   2  0.512  0.082  0.292  0.685  0.791  0.73
Groot 1988   17  0.4163  0.0018  0.1112  0.4730  0.3326  0.39
Harasiewicz 1955   9  0.4427  0.008  0.119  0.5217  0.4816  0.50
Hatto 1993   34  0.3572  0.0030  0.0731  0.2739  0.2438  0.25
Hatto 1997   4  0.493  0.063  0.2410  0.527  0.5710  0.54
Horowitz 1949   86  0.1682  0.0085  0.0283  0.0266  0.0585  0.03
Indjic 1988   38  0.3434  0.0031  0.0833  0.2538  0.2537  0.25
Kapell 1951   62  0.3028  0.0043  0.0740  0.1637  0.1746  0.16
Kissin 1993   71  0.2424  0.0063  0.0563  0.0547  0.1056  0.07
Kushner 1989   43  0.3225  0.0055  0.0467  0.0452  0.0767  0.05
Luisada 1991   54  0.3141  0.0067  0.0752  0.0761  0.0558  0.06
Lushtak 2004   64  0.2855  0.0075  0.0375  0.0359  0.0581  0.04
Malcuzynski 1961   40  0.3373  0.0048  0.0750  0.0741  0.1554  0.10
Magaloff 1978   59  0.3030  0.0058  0.0656  0.0650  0.0660  0.06
Magin 1975   36  0.3513  0.0146  0.0654  0.0632  0.4445  0.16
Michalowski 1933   57  0.316  0.0233  0.0645  0.1246  0.1053  0.11
Milkina 1970   25  0.384  0.0314  0.0630  0.2821  0.4627  0.36
Mohovich 1999   27  0.3832  0.0040  0.0734  0.2421  0.3934  0.31
Moravec 1969   65  0.2740  0.0060  0.0472  0.0460  0.0475  0.04
Morozova 2008   31  0.3764  0.0039  0.0636  0.2343  0.1244  0.17
Neighaus 1950   13  0.4254  0.0016  0.0713  0.4436  0.2730  0.34
Niedzielski 1931   79  0.2158  0.0073  0.0378  0.0371  0.0484  0.03
Ohlsson 1999   12  0.4274  0.0020  0.0727  0.3231  0.3033  0.31
Osinska 1989   21  0.4036  0.0028  0.0824  0.3517  0.5821  0.45
Pachmann 1927   77  0.2375  0.0078  0.0285  0.0272  0.0587  0.03
Paderewski 1930   75  0.2368  0.0074  0.0377  0.0351  0.0768  0.05
Perlemuter 1992   20  0.4019  0.009  0.1514  0.4323  0.5715  0.50
Pierdomenico 2008   85  0.1669  0.0086  0.0284  0.0277  0.0390  0.02
Poblocka 1999   41  0.3383  0.0057  0.0559  0.0550  0.0663  0.05
Rabcewiczowa 1932   11  0.4220  0.0026  0.0723  0.3716  0.6913  0.51
Rachmaninoff 1923   72  0.2446  0.0072  0.0374  0.0367  0.0483  0.03
Rangell 2001   66  0.2765  0.0053  0.0753  0.0734  0.2451  0.13
Richter 1976   82  0.2180  0.0084  0.0286  0.0276  0.0486  0.03
Rosen 1989   14  0.418  0.0210  0.148  0.5521  0.5111  0.53
Rosenthal 1930   24  0.3937  0.0029  0.0722  0.3713  0.6118  0.48
Rosenthal 1931   52  0.3176  0.0041  0.0738  0.1814  0.6828  0.35
Rosenthal 1931b   35  0.3544  0.0012  0.0815  0.4310  0.738  0.56
Rosenthal 1931c   53  0.3171  0.0047  0.0751  0.0723  0.4843  0.18
Rosenthal 1931d   58  0.3039  0.0023  0.0626  0.339  0.6420  0.46
Rossi 2007   88  0.1448  0.0088  0.0288  0.0237  0.1464  0.05
Rubinstein 1939   15  0.4115  0.0119  0.0728  0.3116  0.3829  0.34
Rubinstein 1952   32  0.3752  0.0025  0.0619  0.4017  0.5123  0.45
Rubinstein 1966   22  0.4018  0.0013  0.0618  0.4019  0.4124  0.40
Schilhawsky 1960   76  0.2343  0.0082  0.0382  0.0358  0.0579  0.04
Shebanova 2002   56  0.3188  0.0065  0.0558  0.0548  0.1057  0.07
Smith 1975   5  0.489  0.026  0.126  0.587  0.753  0.66
Sokolov 2002   7  0.4611  0.0115  0.0616  0.429  0.5717  0.49
Sztompka 1959   67  0.2661  0.0064  0.0562  0.0556  0.0669  0.05
Tomsic 1995   45  0.3233  0.0045  0.0743  0.1527  0.2840  0.20
Uninsky 1932   8  0.447  0.025  0.174  0.6219  0.489  0.55
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   74  0.2489  0.0069  0.0469  0.0478  0.0476  0.04
Zak 1937   63  0.2981  0.0068  0.0655  0.0643  0.1355  0.09
Zak 1951   47  0.3270  0.0062  0.0561  0.0535  0.3052  0.12
Average   1  0.601  0.601  0.591  0.8320  0.456  0.61
Random 1   90  0.0290  0.0090  0.0290  0.0259  0.0488  0.03
Random 2   89  0.0391  0.0089  0.0287  0.0239  0.1661  0.06
Random 3   91  -0.0684  0.0091  0.0191  0.0161  0.0391  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).