Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   80  0.2061  0.0046  0.0446  0.0461  0.0461  0.04
Anderszewski 2003   4  0.6962  0.003  0.314  0.554  0.564  0.55
Ashkenazy 1981   3  0.696  0.004  0.283  0.672  0.563  0.61
Bacha 2000   21  0.4435  0.0044  0.0344  0.0727  0.3028  0.14
Badura 1965   79  0.2048  0.0054  0.0448  0.0445  0.0655  0.05
Barbosa 1983   59  0.2949  0.0025  0.0726  0.2240  0.2220  0.22
Biret 1990   9  0.5127  0.009  0.118  0.4527  0.2410  0.33
Blet 2003   18  0.4514  0.0024  0.0817  0.3536  0.1518  0.23
Block 1995   88  0.0450  0.0084  0.0287  0.0285  0.0288  0.02
Blumental 1952   23  0.4251  0.0034  0.0532  0.1728  0.1727  0.17
Boshniakovich 1969   75  0.2228  0.0083  0.0371  0.0380  0.0377  0.03
Brailowsky 1960   32  0.3663  0.0048  0.0449  0.0434  0.1639  0.08
Bunin 1987   14  0.4618  0.0023  0.0723  0.2849  0.0533  0.12
Bunin 1987b   13  0.4736  0.0018  0.0722  0.2947  0.0532  0.12
Chiu 1999   35  0.3637  0.0030  0.0624  0.2332  0.2119  0.22
Cohen 1997   53  0.3138  0.0070  0.0277  0.0232  0.2345  0.07
Cortot 1951   52  0.3164  0.0056  0.0359  0.0357  0.0564  0.04
Csalog 1996   72  0.2426  0.0045  0.0447  0.0432  0.2735  0.10
Czerny 1949   82  0.1939  0.0068  0.0274  0.0274  0.0387  0.02
Czerny 1990   54  0.3015  0.0037  0.0436  0.1474  0.0351  0.06
Duchoud 2007   6  0.6165  0.005  0.246  0.5218  0.426  0.47
Ezaki 2006   25  0.4119  0.0022  0.0718  0.3339  0.1125  0.19
Falvay 1989   63  0.2810  0.0049  0.0545  0.0578  0.0358  0.04
Farrell 1958   26  0.4166  0.0055  0.0357  0.0383  0.0367  0.03
Ferenczy 1958   36  0.3552  0.0027  0.0633  0.1637  0.1826  0.17
Fliere 1977   22  0.4424  0.0031  0.0525  0.2268  0.0437  0.09
Fou 1978   42  0.3567  0.0066  0.0364  0.0360  0.0559  0.04
Francois 1956   86  0.1453  0.0076  0.0362  0.0382  0.0383  0.03
Friedman 1923   69  0.2754  0.0088  0.0278  0.0275  0.0584  0.03
Friedman 1923b   68  0.2729  0.0087  0.0279  0.0274  0.0479  0.03
Friedman 1930   61  0.293  0.0040  0.0539  0.0944  0.0841  0.08
Garcia 2007   49  0.3268  0.0041  0.0542  0.0961  0.0450  0.06
Garcia 2007b   55  0.3069  0.0035  0.0430  0.1814  0.2523  0.21
Gierzod 1998   12  0.4830  0.0013  0.0814  0.3638  0.1617  0.24
Gornostaeva 1994   78  0.2120  0.0082  0.0283  0.0276  0.0389  0.02
Groot 1988   74  0.2240  0.0075  0.0453  0.0461  0.0463  0.04
Harasiewicz 1955   71  0.2411  0.0039  0.0631  0.1771  0.0346  0.07
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.972  0.002  0.842  0.912  0.892  0.90
Horowitz 1949   40  0.3570  0.0047  0.0355  0.0343  0.0953  0.05
Indjic 1988   1  0.991  0.991  0.971  0.991  0.991  0.99
Kapell 1951   19  0.458  0.0021  0.0810  0.4236  0.2212  0.30
Kissin 1993   73  0.2421  0.0062  0.0366  0.0345  0.0854  0.05
Kushner 1989   33  0.3631  0.0033  0.0538  0.1376  0.0348  0.06
Luisada 1991   7  0.5841  0.007  0.227  0.466  0.447  0.45
Lushtak 2004   11  0.4942  0.0015  0.0715  0.3638  0.1422  0.22
Malcuzynski 1961   37  0.3532  0.0061  0.0360  0.0363  0.0469  0.03
Magaloff 1978   46  0.3371  0.0043  0.0443  0.0865  0.0352  0.05
Magin 1975   8  0.555  0.008  0.2113  0.369  0.368  0.36
Michalowski 1933   44  0.3443  0.0016  0.0812  0.3728  0.319  0.34
Milkina 1970   34  0.3655  0.0064  0.0356  0.0363  0.0468  0.03
Mohovich 1999   58  0.2922  0.0060  0.0367  0.0377  0.0378  0.03
Moravec 1969   66  0.2872  0.0036  0.0441  0.0928  0.2129  0.14
Morozova 2008   20  0.454  0.0011  0.1421  0.3036  0.1324  0.20
Neighaus 1950   24  0.4173  0.0042  0.0540  0.0977  0.0356  0.05
Niedzielski 1931   81  0.1974  0.0057  0.0365  0.0333  0.1744  0.07
Ohlsson 1999   5  0.6333  0.006  0.295  0.5212  0.465  0.49
Osinska 1989   83  0.1975  0.0067  0.0288  0.0281  0.0386  0.02
Pachmann 1927   76  0.2256  0.0072  0.0373  0.0342  0.1149  0.06
Paderewski 1930   67  0.2744  0.0078  0.0276  0.0252  0.0472  0.03
Perlemuter 1992   84  0.179  0.0080  0.0282  0.0284  0.0385  0.02
Pierdomenico 2008   70  0.2576  0.0053  0.0361  0.0357  0.0465  0.03
Poblocka 1999   15  0.4677  0.0012  0.099  0.4231  0.2411  0.32
Rabcewiczowa 1932   77  0.2178  0.0079  0.0369  0.0373  0.0366  0.03
Rachmaninoff 1923   51  0.3179  0.0038  0.0537  0.1480  0.0347  0.06
Rangell 2001   47  0.3380  0.0063  0.0372  0.0329  0.2143  0.08
Richter 1976   65  0.2834  0.0058  0.0354  0.0373  0.0371  0.03
Rosen 1989   50  0.3281  0.0069  0.0281  0.0246  0.0576  0.03
Rosenthal 1930   31  0.3745  0.0052  0.0452  0.0479  0.0375  0.03
Rosenthal 1931   45  0.3382  0.0074  0.0368  0.0360  0.0474  0.03
Rosenthal 1931b   41  0.3583  0.0073  0.0370  0.0361  0.0481  0.03
Rosenthal 1931c   48  0.3284  0.0081  0.0363  0.0376  0.0382  0.03
Rosenthal 1931d   64  0.2885  0.0071  0.0275  0.0250  0.0580  0.03
Rossi 2007   90  -0.1886  0.0089  0.0189  0.0187  0.0290  0.01
Rubinstein 1939   16  0.4616  0.0032  0.0529  0.1814  0.4313  0.28
Rubinstein 1952   85  0.1787  0.0065  0.0285  0.0237  0.1457  0.05
Rubinstein 1966   17  0.4623  0.0051  0.0450  0.0438  0.1640  0.08
Schilhawsky 1960   27  0.4057  0.0020  0.0611  0.3737  0.1914  0.27
Shebanova 2002   28  0.3913  0.0028  0.0635  0.1524  0.3221  0.22
Smith 1975   29  0.3858  0.0017  0.0916  0.3565  0.0431  0.12
Sokolov 2002   10  0.5046  0.0010  0.1119  0.3238  0.2115  0.26
Sztompka 1959   56  0.3088  0.0077  0.0286  0.0259  0.0573  0.03
Tomsic 1995   38  0.3559  0.0059  0.0451  0.0468  0.0370  0.03
Uninsky 1932   60  0.2917  0.0050  0.0358  0.0356  0.0560  0.04
Uninsky 1971   30  0.387  0.0029  0.0820  0.3241  0.1816  0.24
Wasowski 1980   39  0.3547  0.0026  0.0728  0.2145  0.0730  0.12
Zak 1937   43  0.3460  0.0019  0.0734  0.1545  0.0734  0.10
Zak 1951   57  0.3012  0.0014  0.1027  0.2164  0.0438  0.09
Random 1   89  0.0025  0.0090  0.0190  0.0133  0.1862  0.04
Random 2   87  0.0689  0.0085  0.0284  0.024  0.4836  0.10
Random 3   62  0.2990  0.0086  0.0280  0.0219  0.3142  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).