Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3724  0.0026  0.0834  0.2024  0.2529  0.22
Anderszewski 2003   4  0.6048  0.004  0.276  0.552  0.633  0.59
Ashkenazy 1981   3  0.6169  0.005  0.264  0.649  0.544  0.59
Bacha 2000   21  0.4626  0.0044  0.0543  0.0924  0.4031  0.19
Badura 1965   80  0.2357  0.0070  0.0465  0.0456  0.0474  0.04
Barbosa 1983   36  0.3835  0.0022  0.1020  0.3729  0.3817  0.37
Biret 1990   9  0.555  0.0110  0.1610  0.495  0.635  0.56
Blet 2003   15  0.4918  0.0016  0.0719  0.4325  0.3416  0.38
Block 1995   87  0.1178  0.0084  0.0386  0.0385  0.0289  0.02
Blumental 1952   28  0.4258  0.0028  0.1124  0.3217  0.3522  0.33
Boshniakovich 1969   84  0.2254  0.0083  0.0467  0.0487  0.0284  0.03
Brailowsky 1960   57  0.3362  0.0075  0.0458  0.0440  0.1156  0.07
Bunin 1987   13  0.5014  0.0019  0.1215  0.4522  0.3613  0.40
Bunin 1987b   12  0.5025  0.0018  0.0914  0.4522  0.3712  0.41
Chiu 1999   37  0.3832  0.0030  0.0830  0.2334  0.2428  0.23
Cohen 1997   60  0.3279  0.0067  0.0376  0.0326  0.3243  0.10
Cortot 1951   56  0.3370  0.0041  0.0538  0.1365  0.0460  0.07
Csalog 1996   67  0.3028  0.0068  0.0378  0.0332  0.2846  0.09
Czerny 1949   59  0.3233  0.0046  0.0549  0.0542  0.1352  0.08
Czerny 1990   44  0.3685  0.0043  0.0544  0.0951  0.0659  0.07
Duchoud 2007   7  0.5827  0.006  0.189  0.5210  0.498  0.50
Ezaki 2006   19  0.4663  0.0020  0.0811  0.4623  0.3314  0.39
Falvay 1989   30  0.414  0.0140  0.0639  0.1237  0.1438  0.13
Farrell 1958   32  0.4071  0.0038  0.0541  0.1164  0.0363  0.06
Ferenczy 1958   31  0.4141  0.0024  0.0728  0.2621  0.3824  0.31
Fliere 1977   33  0.3959  0.0048  0.0551  0.0567  0.0468  0.04
Fou 1978   34  0.3929  0.0058  0.0464  0.0449  0.0765  0.05
Francois 1956   69  0.2936  0.0052  0.0459  0.0455  0.0477  0.04
Friedman 1923   82  0.2360  0.0087  0.0381  0.0376  0.0488  0.03
Friedman 1923b   81  0.2372  0.0086  0.0383  0.0362  0.0575  0.04
Friedman 1930   61  0.3116  0.0045  0.0445  0.0951  0.0558  0.07
Garcia 2007   86  0.199  0.0085  0.0387  0.0370  0.0383  0.03
Garcia 2007b   77  0.2630  0.0077  0.0468  0.0435  0.2344  0.10
Gierzod 1998   27  0.4264  0.0035  0.0733  0.2025  0.2330  0.21
Gornostaeva 1994   62  0.3150  0.0065  0.0380  0.0374  0.0385  0.03
Groot 1988   54  0.3319  0.0062  0.0460  0.0470  0.0386  0.03
Harasiewicz 1955   68  0.3086  0.0032  0.0725  0.2945  0.1032  0.17
Hatto 1993   2  0.912  0.022  0.882  0.932  0.952  0.94
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   49  0.3437  0.0061  0.0469  0.0446  0.0766  0.05
Indjic 1988   1  0.941  0.901  0.891  0.952  0.961  0.95
Kapell 1951   10  0.5339  0.009  0.178  0.5217  0.4510  0.48
Kissin 1993   74  0.2880  0.0066  0.0377  0.0352  0.0672  0.04
Kushner 1989   48  0.3565  0.0074  0.0371  0.0370  0.0480  0.03
Luisada 1991   8  0.5740  0.008  0.185  0.565  0.556  0.55
Lushtak 2004   17  0.4873  0.0021  0.0818  0.4330  0.3018  0.36
Malcuzynski 1961   35  0.3917  0.0057  0.0375  0.0358  0.0481  0.03
Magaloff 1978   53  0.3381  0.0034  0.0640  0.1138  0.1736  0.14
Magin 1975   16  0.4882  0.0012  0.1022  0.3417  0.3619  0.35
Michalowski 1933   70  0.2920  0.0027  0.0821  0.3638  0.2425  0.29
Milkina 1970   29  0.417  0.0051  0.0554  0.0545  0.1248  0.08
Mohovich 1999   45  0.3613  0.0039  0.0542  0.1032  0.2434  0.15
Moravec 1969   51  0.3412  0.0053  0.0550  0.0545  0.0861  0.06
Morozova 2008   24  0.4651  0.0014  0.1423  0.3447  0.0637  0.14
Neighaus 1950   22  0.463  0.0131  0.0831  0.2254  0.0640  0.11
Niedzielski 1931   83  0.2274  0.0078  0.0372  0.0359  0.0479  0.03
Ohlsson 1999   5  0.5946  0.007  0.227  0.548  0.497  0.51
Osinska 1989   71  0.2942  0.0063  0.0373  0.0359  0.0569  0.04
Pachmann 1927   79  0.2566  0.0064  0.0379  0.0337  0.1857  0.07
Paderewski 1930   65  0.3055  0.0071  0.0552  0.0539  0.1450  0.08
Perlemuter 1992   85  0.2083  0.0082  0.0385  0.0373  0.0378  0.03
Pierdomenico 2008   72  0.2887  0.0072  0.0470  0.0445  0.1062  0.06
Poblocka 1999   23  0.4643  0.0023  0.1416  0.4428  0.2520  0.33
Rabcewiczowa 1932   58  0.3275  0.0047  0.0553  0.0534  0.2241  0.10
Rachmaninoff 1923   52  0.3353  0.0036  0.0636  0.1346  0.0645  0.09
Rangell 2001   64  0.3167  0.0069  0.0466  0.0433  0.2147  0.09
Richter 1976   66  0.3052  0.0073  0.0374  0.0362  0.0482  0.03
Rosen 1989   41  0.3711  0.0059  0.0462  0.0439  0.1653  0.08
Rosenthal 1930   43  0.3738  0.0050  0.0746  0.0760  0.0467  0.05
Rosenthal 1931   75  0.2876  0.0081  0.0555  0.0563  0.0373  0.04
Rosenthal 1931b   73  0.2888  0.0080  0.0384  0.0352  0.0576  0.04
Rosenthal 1931c   63  0.3161  0.0079  0.0388  0.0367  0.0387  0.03
Rosenthal 1931d   78  0.2531  0.0076  0.0456  0.0440  0.1064  0.06
Rossi 2007   91  -0.1189  0.0090  0.0190  0.0187  0.0291  0.01
Rubinstein 1939   18  0.4723  0.0015  0.0829  0.2415  0.4223  0.32
Rubinstein 1952   76  0.2756  0.0060  0.0457  0.0438  0.1655  0.08
Rubinstein 1966   14  0.5044  0.0033  0.0832  0.2024  0.3726  0.27
Schilhawsky 1960   40  0.3734  0.0025  0.1026  0.2933  0.2427  0.26
Shebanova 2002   39  0.3821  0.0054  0.0463  0.0436  0.2542  0.10
Smith 1975   25  0.4547  0.0013  0.1012  0.4633  0.2321  0.33
Sokolov 2002   11  0.5310  0.0011  0.1517  0.4429  0.3515  0.39
Sztompka 1959   46  0.3645  0.0049  0.0548  0.0568  0.0471  0.04
Tomsic 1995   26  0.436  0.0037  0.0537  0.1338  0.1833  0.15
Uninsky 1932   50  0.3490  0.0042  0.0535  0.1568  0.0451  0.08
Uninsky 1971   20  0.4615  0.0017  0.0713  0.4624  0.4211  0.44
Wasowski 1980   38  0.3822  0.0029  0.1027  0.2748  0.0735  0.14
Zak 1937   47  0.3677  0.0056  0.0461  0.0464  0.0570  0.04
Zak 1951   55  0.3391  0.0055  0.0647  0.0645  0.1249  0.08
Average   6  0.598  0.003  0.303  0.7625  0.319  0.49
Random 1   90  -0.0268  0.0091  0.0191  0.0164  0.0390  0.02
Random 2   89  0.0749  0.0088  0.0382  0.031  0.4939  0.12
Random 3   88  0.1084  0.0089  0.0289  0.0218  0.3654  0.08

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).