Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2663  0.0060  0.0553  0.0534  0.0658  0.05
Ashkenazy 1981   36  0.3654  0.0032  0.0732  0.1334  0.0836  0.10
Beliavsky 2004   29  0.383  0.0416  0.1223  0.377  0.6015  0.47
BenOr 1989   35  0.3626  0.0035  0.0645  0.0644  0.0750  0.06
Biret 1990   17  0.4319  0.0020  0.1017  0.4915  0.3518  0.41
Blet 2003   53  0.3153  0.0018  0.1024  0.3028  0.2025  0.24
Block 1995   14  0.4429  0.009  0.1211  0.5512  0.4512  0.50
Brailowsky 1960   48  0.3347  0.0048  0.0549  0.0542  0.0844  0.06
Chiu 1999   23  0.4014  0.0017  0.1121  0.3910  0.5217  0.45
Clidat 1994   7  0.477  0.0211  0.1310  0.567  0.508  0.53
Cohen 1997   57  0.2730  0.0057  0.0642  0.0622  0.2931  0.13
Coop 1987   5  0.4817  0.0013  0.166  0.5832  0.2421  0.37
Cortot 1951   6  0.472  0.0512  0.137  0.583  0.802  0.68
Czerny 1949   19  0.4213  0.0019  0.0920  0.4421  0.3319  0.38
Czerny 1949b   37  0.3644  0.0036  0.0546  0.0543  0.0654  0.05
Ezaki 2006   39  0.3622  0.0043  0.0459  0.0443  0.0943  0.06
Falvay 1989   13  0.446  0.0214  0.178  0.5717  0.527  0.54
Ferenczy 1958   55  0.2964  0.0056  0.0552  0.0549  0.0747  0.06
Fiorentino 1962   46  0.3331  0.0041  0.0548  0.0537  0.0942  0.07
Fliere 1977   24  0.408  0.0228  0.0830  0.1737  0.0733  0.11
Fou 1978   43  0.3445  0.0050  0.0733  0.0733  0.1237  0.09
Francois 1956   58  0.2751  0.0062  0.0550  0.0554  0.0463  0.04
Hatto 1997   10  0.4621  0.005  0.1814  0.5312  0.585  0.55
Horowitz 1971   9  0.4618  0.0010  0.119  0.578  0.536  0.55
Horowitz 1985   22  0.404  0.0215  0.1213  0.549  0.5010  0.52
Indjic 2001   12  0.4539  0.006  0.1416  0.5015  0.569  0.53
Kapell 1951   28  0.3815  0.0044  0.0547  0.0533  0.1040  0.07
Kiepura 1999   11  0.4548  0.0021  0.1015  0.5020  0.2820  0.37
Kilenyi 1937   56  0.2862  0.0055  0.0462  0.0435  0.0948  0.06
Kissin 1993   8  0.4634  0.008  0.125  0.6113  0.604  0.60
Kitain 1937   50  0.3227  0.0051  0.0738  0.0725  0.3429  0.15
Kushner 1990   34  0.3641  0.0045  0.0639  0.0647  0.0556  0.05
Levy 1951   52  0.3146  0.0054  0.0458  0.0447  0.0653  0.05
Luisada 1990   61  0.2443  0.0059  0.0463  0.0448  0.0659  0.05
Lushtak 2004   3  0.515  0.023  0.253  0.696  0.671  0.68
Lympany 1968   20  0.4223  0.0023  0.1319  0.4511  0.5413  0.49
Magaloff 1977   45  0.3438  0.0040  0.0641  0.0628  0.2432  0.12
Magaloff 1977b   47  0.3340  0.0039  0.0460  0.0420  0.2735  0.10
Magin 1975   38  0.3659  0.0037  0.0640  0.0643  0.0645  0.06
Milkina 1970   4  0.5010  0.014  0.224  0.6521  0.3911  0.50
Mohovich 1999   51  0.3233  0.0053  0.0555  0.0556  0.0561  0.05
Nadelmann 1956   40  0.3532  0.0026  0.0925  0.2746  0.0630  0.13
Ohlsson 1999   54  0.2956  0.0052  0.0734  0.0762  0.0455  0.05
Olejniczac 1990   49  0.3266  0.0049  0.0643  0.0636  0.0941  0.07
Olejniczak 1991   42  0.3555  0.0033  0.0736  0.0747  0.0839  0.07
Osinska 1989   16  0.4460  0.0024  0.1122  0.3744  0.0628  0.15
Paderewski 1912   33  0.3752  0.0029  0.0827  0.2521  0.3024  0.27
Perahia 1994   2  0.529  0.022  0.312  0.708  0.633  0.66
Perlemuter 1986   26  0.3942  0.0034  0.0735  0.0754  0.0546  0.06
Poblocka 1999   32  0.3716  0.0031  0.0831  0.1629  0.2027  0.18
Rangell 2001   30  0.3811  0.0142  0.0461  0.0429  0.1638  0.08
Risler 1920   59  0.2620  0.0058  0.0556  0.0543  0.0652  0.05
Rosen 1989   62  0.2336  0.0061  0.0557  0.0556  0.0660  0.05
Rubinstein 1939   25  0.4028  0.0030  0.0929  0.2147  0.0534  0.10
Rubinstein 1952   31  0.3825  0.0038  0.0737  0.0755  0.0462  0.05
Rubinstein 1966   44  0.3449  0.0047  0.0554  0.0538  0.0657  0.05
Rummel 1943   27  0.3937  0.0027  0.0928  0.2512  0.3423  0.29
Shebanova 2002   41  0.3550  0.0046  0.0644  0.0646  0.0649  0.06
Smith 1975   21  0.4124  0.007  0.1512  0.544  0.4414  0.49
Szpilman 1948   63  0.2058  0.0063  0.0551  0.0553  0.0551  0.05
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   18  0.4212  0.0125  0.0926  0.2632  0.1526  0.20
Weissenberg 1971   15  0.4435  0.0022  0.1318  0.467  0.4616  0.46
Average   1  0.621  0.711  0.701  0.8833  0.1222  0.32
Random 1    64  -0.0161  0.0064  0.0364  0.0350  0.0364  0.03
Random 2   66  -0.0957  0.0065  0.0265  0.0254  0.0465  0.03
Random 3   65  -0.0465  0.0066  0.0166  0.0161  0.0266  0.01

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).