Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.6358  0.0042  0.0643  0.0635  0.0947  0.07
Ashkenazy 1981   21  0.7050  0.0011  0.1117  0.2926  0.1922  0.23
Beliavsky 2004   20  0.703  0.0223  0.0925  0.235  0.5211  0.35
BenOr 1989   14  0.7131  0.0013  0.1214  0.4354  0.0631  0.16
Biret 1990   53  0.6036  0.0046  0.0550  0.0526  0.2241  0.10
Blet 2003   50  0.6244  0.0037  0.0933  0.0922  0.2335  0.14
Block 1995   33  0.6712  0.0128  0.1021  0.2626  0.3317  0.29
Brailowsky 1960   57  0.5752  0.0059  0.0554  0.0551  0.0656  0.05
Chiu 1999   22  0.6918  0.007  0.1316  0.3926  0.3610  0.37
Clidat 1994   15  0.7117  0.008  0.117  0.5115  0.386  0.44
Cohen 1997   62  0.4738  0.0061  0.0463  0.0412  0.5432  0.15
Coop 1987   13  0.7233  0.0014  0.156  0.5235  0.0923  0.22
Cortot 1951   39  0.6515  0.0047  0.0460  0.044  0.7629  0.17
Czerny 1949   11  0.7310  0.019  0.1210  0.4824  0.367  0.42
Czerny 1949b   5  0.7420  0.0010  0.138  0.4923  0.338  0.40
Ezaki 2006   7  0.7341  0.0015  0.159  0.4933  0.1119  0.23
Falvay 1989   4  0.7514  0.003  0.255  0.5924  0.403  0.49
Ferenczy 1958   61  0.5263  0.0062  0.0556  0.0562  0.0464  0.04
Fiorentino 1962   28  0.6951  0.0029  0.1026  0.2032  0.2026  0.20
Fliere 1977   3  0.766  0.015  0.184  0.5925  0.345  0.45
Fou 1978   10  0.7348  0.0016  0.1711  0.4729  0.2215  0.32
Francois 1956   38  0.6656  0.0050  0.0553  0.0539  0.0661  0.05
Hatto 1997   35  0.677  0.0118  0.0718  0.2911  0.509  0.38
Horowitz 1971   43  0.6416  0.0039  0.0644  0.0618  0.4130  0.16
Horowitz 1985   60  0.5428  0.0060  0.0459  0.0424  0.3438  0.12
Indjic 2001   37  0.6757  0.0027  0.1023  0.2412  0.4614  0.33
Kapell 1951   34  0.6761  0.0038  0.0838  0.0844  0.0645  0.07
Kiepura 1999   6  0.732  0.0312  0.1113  0.4617  0.474  0.46
Kilenyi 1937   36  0.6734  0.0036  0.0836  0.0850  0.0646  0.07
Kissin 1993   9  0.7335  0.006  0.163  0.5929  0.1913  0.33
Kitain 1937   63  0.3822  0.0063  0.0645  0.0637  0.0752  0.06
Kushner 1990   45  0.6329  0.0045  0.0462  0.0458  0.0462  0.04
Levy 1951   59  0.5742  0.0056  0.0548  0.0532  0.1242  0.08
Luisada 1990   40  0.6553  0.0048  0.0551  0.0542  0.0659  0.05
Lushtak 2004   2  0.764  0.012  0.232  0.737  0.641  0.68
Lympany 1968   24  0.6927  0.0020  0.0627  0.1914  0.4816  0.30
Magaloff 1977   23  0.6947  0.0033  0.0739  0.0725  0.2936  0.14
Magaloff 1977b   25  0.6930  0.0032  0.0929  0.1726  0.2824  0.22
Magin 1975   12  0.7237  0.0021  0.0822  0.2439  0.0834  0.14
Milkina 1970   16  0.715  0.0124  0.0919  0.2822  0.3912  0.33
Mohovich 1999   51  0.6155  0.0053  0.0458  0.0446  0.0660  0.05
Nadelmann 1956   52  0.6154  0.0044  0.0457  0.0426  0.1743  0.08
Ohlsson 1999   49  0.6260  0.0049  0.0555  0.0554  0.0558  0.05
Olejniczac 1990   29  0.6965  0.0031  0.0832  0.1537  0.1039  0.12
Olejniczak 1991   26  0.6962  0.0034  0.0934  0.0952  0.0644  0.07
Osinska 1989   8  0.7325  0.004  0.1512  0.4642  0.0827  0.19
Paderewski 1912   27  0.6945  0.0026  0.0824  0.2317  0.2918  0.26
Perahia 1994   56  0.579  0.0130  0.0830  0.1523  0.3621  0.23
Perlemuter 1986   19  0.7021  0.0022  0.0820  0.2831  0.1625  0.21
Poblocka 1999   18  0.7111  0.0125  0.0828  0.1832  0.1133  0.14
Rangell 2001   31  0.6813  0.0141  0.0641  0.0637  0.0753  0.06
Risler 1920   55  0.5846  0.0054  0.0549  0.0541  0.0748  0.06
Rosen 1989   47  0.6219  0.0052  0.0547  0.0542  0.0751  0.06
Rubinstein 1939   58  0.5739  0.0058  0.0461  0.0444  0.0657  0.05
Rubinstein 1952   42  0.6423  0.0051  0.0835  0.0854  0.0454  0.06
Rubinstein 1966   54  0.5940  0.0057  0.0552  0.0557  0.0463  0.04
Rummel 1943   48  0.6224  0.0055  0.0546  0.0518  0.2740  0.12
Shebanova 2002   17  0.7149  0.0017  0.0815  0.4041  0.0728  0.17
Smith 1975   32  0.6826  0.0035  0.0837  0.0823  0.2137  0.13
Szpilman 1948   44  0.6443  0.0043  0.0642  0.0661  0.0555  0.05
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   30  0.698  0.0119  0.0731  0.1519  0.3520  0.23
Weissenberg 1971   41  0.6532  0.0040  0.0640  0.0637  0.0749  0.06
Average   1  0.821  0.781  0.771  0.8830  0.292  0.51
Random 1    64  -0.0264  0.0064  0.0265  0.0225  0.2150  0.06
Random 2   65  -0.0459  0.0065  0.0264  0.0265  0.0265  0.02
Random 3   66  -0.1166  0.0066  0.0166  0.0166  0.0166  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).