Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5662  0.0028  0.0623  0.2642  0.1133  0.17
Anderszewski 2003   4  0.7172  0.003  0.247  0.532  0.554  0.54
Ashkenazy 1981   3  0.7338  0.005  0.193  0.585  0.523  0.55
Bacha 2000   30  0.5620  0.0048  0.0553  0.0537  0.1747  0.09
Badura 1965   48  0.5032  0.0057  0.0462  0.0427  0.3440  0.12
Barbosa 1983   54  0.4982  0.0064  0.0845  0.0838  0.1738  0.12
Biret 1990   13  0.614  0.0024  0.0717  0.3232  0.2418  0.28
Blet 2003   15  0.6176  0.0025  0.0920  0.2824  0.2917  0.28
Block 1995   84  0.2912  0.0078  0.0377  0.0378  0.0382  0.03
Blumental 1952   37  0.5440  0.0056  0.0471  0.0428  0.1757  0.08
Boshniakovich 1969   57  0.4721  0.0050  0.0475  0.0434  0.1950  0.09
Brailowsky 1960   56  0.4773  0.0071  0.0467  0.0448  0.0570  0.04
Bunin 1987   43  0.5222  0.0059  0.0550  0.0532  0.2942  0.12
Bunin 1987b   45  0.5147  0.0058  0.0559  0.0532  0.3136  0.12
Chiu 1999   32  0.5563  0.0053  0.0472  0.0432  0.2148  0.09
Cohen 1997   67  0.4371  0.0075  0.0461  0.0428  0.2051  0.09
Cortot 1951   47  0.5077  0.0062  0.0748  0.0744  0.1058  0.08
Csalog 1996   78  0.3149  0.0066  0.0558  0.0534  0.1749  0.09
Czerny 1949   42  0.5218  0.0031  0.0626  0.2237  0.1630  0.19
Czerny 1990   29  0.568  0.0035  0.0541  0.1176  0.0363  0.06
Duchoud 2007   17  0.6064  0.0016  0.0819  0.3112  0.4012  0.35
Ezaki 2006   11  0.6326  0.0023  0.0521  0.2846  0.0635  0.13
Falvay 1989   77  0.3339  0.0083  0.0382  0.0368  0.0476  0.03
Farrell 1958   22  0.5867  0.0054  0.0379  0.0356  0.0571  0.04
Ferenczy 1958   33  0.5524  0.0034  0.0735  0.1419  0.3028  0.20
Fliere 1977   8  0.6565  0.008  0.179  0.5031  0.2911  0.38
Fou 1978   40  0.5341  0.0039  0.0432  0.1762  0.0454  0.08
Francois 1956   72  0.3951  0.0069  0.0468  0.0472  0.0388  0.03
Friedman 1923   21  0.5888  0.0027  0.0729  0.2121  0.3420  0.27
Friedman 1923b   19  0.5887  0.0026  0.0728  0.2120  0.3619  0.27
Friedman 1930   20  0.5856  0.0015  0.0924  0.2511  0.4713  0.34
Garcia 2007   49  0.5083  0.0060  0.0554  0.0542  0.1059  0.07
Garcia 2007b   62  0.4542  0.0055  0.0378  0.0341  0.1068  0.05
Gierzod 1998   10  0.6335  0.0013  0.148  0.5220  0.369  0.43
Gornostaeva 1994   73  0.3960  0.0073  0.0464  0.0471  0.0384  0.03
Groot 1988   69  0.4157  0.0070  0.0380  0.0381  0.0386  0.03
Harasiewicz 1955   46  0.5136  0.0020  0.0730  0.2137  0.1631  0.18
Hatto 1993   2  0.982  0.032  0.942  0.972  0.982  0.97
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   50  0.5084  0.0040  0.0634  0.1435  0.3127  0.21
Indjic 1988   1  0.991  0.951  0.941  0.982  0.991  0.98
Kapell 1951   25  0.5752  0.0012  0.1213  0.4027  0.2814  0.33
Kissin 1993   58  0.4750  0.0043  0.0539  0.1149  0.0656  0.08
Kushner 1989   41  0.5313  0.0061  0.0551  0.0549  0.0567  0.05
Luisada 1991   5  0.7033  0.006  0.176  0.5313  0.485  0.50
Lushtak 2004   7  0.677  0.0014  0.1614  0.3923  0.2515  0.31
Malcuzynski 1961   74  0.385  0.0044  0.0543  0.0951  0.0462  0.06
Magaloff 1978   64  0.446  0.0041  0.0537  0.1357  0.0553  0.08
Magin 1975   26  0.5637  0.0017  0.0818  0.3127  0.2221  0.26
Michalowski 1933   66  0.4353  0.0030  0.0725  0.2329  0.3022  0.26
Milkina 1970   59  0.4743  0.0046  0.0460  0.0464  0.0572  0.04
Mohovich 1999   52  0.4944  0.0049  0.0555  0.0541  0.1160  0.07
Moravec 1969   76  0.3345  0.0076  0.0381  0.0372  0.0374  0.03
Morozova 2008   9  0.6448  0.007  0.1222  0.2724  0.2424  0.25
Neighaus 1950   14  0.6154  0.0019  0.0711  0.4638  0.1523  0.26
Niedzielski 1931   65  0.449  0.0038  0.0540  0.1128  0.2532  0.17
Ohlsson 1999   6  0.6934  0.004  0.144  0.5710  0.446  0.50
Osinska 1989   55  0.4916  0.0063  0.0846  0.0867  0.0461  0.06
Pachmann 1927   70  0.4058  0.0074  0.0465  0.0424  0.2346  0.10
Paderewski 1930   60  0.4778  0.0065  0.0747  0.0734  0.1644  0.11
Perlemuter 1992   61  0.4585  0.0068  0.0557  0.0576  0.0369  0.04
Pierdomenico 2008   80  0.3027  0.0077  0.0383  0.0374  0.0378  0.03
Poblocka 1999   24  0.5759  0.009  0.1210  0.4719  0.3310  0.39
Rabcewiczowa 1932   68  0.4228  0.0067  0.0649  0.0659  0.0466  0.05
Rachmaninoff 1923   39  0.5379  0.0052  0.0470  0.0445  0.0665  0.05
Rangell 2001   86  0.2629  0.0080  0.0466  0.0443  0.1064  0.06
Richter 1976   63  0.4511  0.0047  0.0552  0.0521  0.3137  0.12
Rosen 1989   51  0.5055  0.0042  0.0538  0.1241  0.1241  0.12
Rosenthal 1930   71  0.3970  0.0072  0.0473  0.0474  0.0381  0.03
Rosenthal 1931   83  0.2966  0.0086  0.0474  0.0487  0.0280  0.03
Rosenthal 1931b   81  0.3074  0.0085  0.0386  0.0376  0.0387  0.03
Rosenthal 1931c   79  0.3119  0.0082  0.0384  0.0382  0.0290  0.02
Rosenthal 1931d   85  0.283  0.0084  0.0387  0.0381  0.0385  0.03
Rossi 2007   87  0.1868  0.0087  0.0385  0.0376  0.0475  0.03
Rubinstein 1939   23  0.5825  0.0021  0.0644  0.0928  0.2934  0.16
Rubinstein 1952   82  0.3075  0.0081  0.0463  0.0461  0.0573  0.04
Rubinstein 1966   12  0.6289  0.0045  0.0556  0.0534  0.2445  0.11
Schilhawsky 1960   16  0.6010  0.0010  0.105  0.5321  0.427  0.47
Shebanova 2002   36  0.5430  0.0029  0.0627  0.2230  0.2625  0.24
Smith 1975   44  0.5146  0.0051  0.0376  0.0374  0.0377  0.03
Sokolov 2002   35  0.5417  0.0032  0.0633  0.1665  0.0452  0.08
Sztompka 1959   31  0.5561  0.0037  0.0542  0.1057  0.0655  0.08
Tomsic 1995   75  0.3815  0.0079  0.0469  0.0476  0.0379  0.03
Uninsky 1932   53  0.4980  0.0033  0.0531  0.1833  0.2329  0.20
Uninsky 1971   38  0.5390  0.0011  0.1112  0.4511  0.478  0.46
Wasowski 1980   34  0.5414  0.0036  0.0536  0.1341  0.0943  0.11
Zak 1937   18  0.5923  0.0022  0.0615  0.3530  0.2416  0.29
Zak 1951   28  0.5631  0.0018  0.0816  0.3433  0.1626  0.23
Random 1   90  -0.1586  0.0090  0.0190  0.0155  0.0489  0.02
Random 2   88  0.0181  0.0088  0.0388  0.036  0.4839  0.12
Random 3   89  0.0069  0.0089  0.0289  0.0248  0.0583  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).