Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.2522  0.0045  0.0545  0.0943  0.1042  0.09
Anderszewski 2003   4  0.5933  0.004  0.2811  0.527  0.546  0.53
Ashkenazy 1981   3  0.6611  0.003  0.423  0.822  0.673  0.74
Bacha 2000   18  0.4312  0.0028  0.0637  0.1816  0.4719  0.29
Badura 1965   79  0.2244  0.0066  0.0463  0.0473  0.0473  0.04
Barbosa 1983   38  0.3613  0.0015  0.0920  0.3233  0.3317  0.32
Biret 1990   22  0.392  0.0027  0.0625  0.2940  0.1628  0.22
Blet 2003   10  0.4718  0.0012  0.1114  0.4122  0.3612  0.38
Block 1995   87  0.1559  0.0078  0.0384  0.0381  0.0380  0.03
Blumental 1952   19  0.4345  0.0022  0.1030  0.2418  0.3521  0.29
Boshniakovich 1969   74  0.2546  0.0071  0.0371  0.0376  0.0381  0.03
Brailowsky 1960   69  0.2723  0.0070  0.0372  0.0365  0.0478  0.03
Bunin 1987   25  0.3934  0.0035  0.0624  0.2942  0.1432  0.20
Bunin 1987b   23  0.3960  0.0034  0.0523  0.2943  0.1430  0.20
Chiu 1999   17  0.437  0.0017  0.1217  0.3629  0.3714  0.36
Cohen 1997   65  0.2861  0.0072  0.0380  0.0341  0.1356  0.06
Cortot 1951   76  0.2527  0.0077  0.0376  0.0377  0.0383  0.03
Csalog 1996   75  0.2562  0.0056  0.0464  0.0435  0.2638  0.10
Czerny 1949   85  0.1847  0.0075  0.0470  0.0463  0.0470  0.04
Czerny 1990   34  0.3635  0.0023  0.0719  0.3340  0.1429  0.21
Duchoud 2007   8  0.5514  0.007  0.188  0.537  0.517  0.52
Ezaki 2006   40  0.3536  0.0033  0.0529  0.2554  0.0536  0.11
Falvay 1989   47  0.3348  0.0054  0.0549  0.0549  0.0558  0.05
Farrell 1958   61  0.2863  0.0081  0.0388  0.0389  0.0288  0.02
Ferenczy 1958   70  0.2664  0.0059  0.0459  0.0437  0.1649  0.08
Fliere 1977   16  0.4415  0.0021  0.0818  0.3537  0.1524  0.23
Fou 1978   33  0.3765  0.0052  0.0469  0.0475  0.0465  0.04
Francois 1956   86  0.1766  0.0073  0.0385  0.0358  0.0486  0.03
Friedman 1923   68  0.2749  0.0080  0.0379  0.0348  0.0762  0.05
Friedman 1923b   67  0.2737  0.0079  0.0387  0.0359  0.0574  0.04
Friedman 1930   49  0.3324  0.0038  0.0640  0.1558  0.0448  0.08
Garcia 2007   64  0.2850  0.0069  0.0373  0.0352  0.0671  0.04
Garcia 2007b   43  0.3467  0.0032  0.0532  0.227  0.5115  0.33
Gierzod 1998   24  0.3925  0.0029  0.0728  0.2731  0.1925  0.23
Gornostaeva 1994   81  0.2268  0.0083  0.0382  0.0384  0.0290  0.02
Groot 1988   52  0.3151  0.0055  0.0555  0.0567  0.0375  0.04
Harasiewicz 1955   50  0.3328  0.0030  0.0726  0.2868  0.0344  0.09
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.913  0.002  0.882  0.952  0.932  0.94
Horowitz 1949   42  0.3469  0.0053  0.0553  0.0566  0.0469  0.04
Indjic 1988   1  0.981  0.991  0.981  0.991  0.991  0.99
Kapell 1951   12  0.4738  0.0013  0.129  0.5327  0.409  0.46
Kissin 1993   55  0.3139  0.0046  0.0458  0.0442  0.1847  0.08
Kushner 1989   30  0.3829  0.0042  0.0642  0.1350  0.0545  0.08
Luisada 1991   5  0.5726  0.006  0.265  0.684  0.634  0.65
Lushtak 2004   26  0.3970  0.0040  0.0638  0.1769  0.0450  0.08
Malcuzynski 1961   37  0.3616  0.0047  0.0467  0.0450  0.0567  0.04
Magaloff 1978   59  0.3071  0.0063  0.0552  0.0559  0.0463  0.04
Magin 1975   7  0.5640  0.009  0.317  0.544  0.585  0.56
Michalowski 1933   31  0.3872  0.0016  0.1013  0.4113  0.4211  0.41
Milkina 1970   29  0.3852  0.0048  0.0466  0.0454  0.0566  0.04
Mohovich 1999   58  0.3041  0.0062  0.0551  0.0539  0.1543  0.09
Moravec 1969   57  0.3073  0.0044  0.0443  0.1136  0.1335  0.12
Morozova 2008   14  0.4419  0.0011  0.1216  0.3635  0.1427  0.22
Neighaus 1950   21  0.4274  0.0031  0.0536  0.1866  0.0452  0.08
Niedzielski 1931   63  0.2875  0.0041  0.0641  0.1423  0.2434  0.18
Ohlsson 1999   6  0.578  0.008  0.266  0.5610  0.478  0.51
Osinska 1989   82  0.2130  0.0074  0.0381  0.0373  0.0477  0.03
Pachmann 1927   77  0.2453  0.0067  0.0456  0.0444  0.1055  0.06
Paderewski 1930   54  0.3176  0.0061  0.0465  0.0434  0.1846  0.08
Perlemuter 1992   80  0.229  0.0076  0.0386  0.0380  0.0376  0.03
Pierdomenico 2008   56  0.3077  0.0043  0.0544  0.0950  0.0553  0.07
Poblocka 1999   27  0.3954  0.0018  0.0812  0.4232  0.2218  0.30
Rabcewiczowa 1932   84  0.1878  0.0084  0.0374  0.0384  0.0287  0.02
Rachmaninoff 1923   66  0.2779  0.0058  0.0550  0.0574  0.0364  0.04
Rangell 2001   60  0.2980  0.0068  0.0647  0.0641  0.1740  0.10
Richter 1976   32  0.3842  0.0036  0.0533  0.2033  0.2031  0.20
Rosen 1989   48  0.3381  0.0065  0.0746  0.0755  0.0461  0.05
Rosenthal 1930   51  0.314  0.0060  0.0554  0.0554  0.0472  0.04
Rosenthal 1931   71  0.2582  0.0086  0.0375  0.0374  0.0379  0.03
Rosenthal 1931b   73  0.2555  0.0087  0.0462  0.0471  0.0384  0.03
Rosenthal 1931c   62  0.2883  0.0082  0.0377  0.0371  0.0385  0.03
Rosenthal 1931d   83  0.1920  0.0085  0.0378  0.0373  0.0382  0.03
Rossi 2007   91  -0.1384  0.0091  0.0191  0.0190  0.0191  0.01
Rubinstein 1939   20  0.4317  0.0024  0.0731  0.2412  0.4316  0.32
Rubinstein 1952   78  0.2385  0.0064  0.0548  0.0551  0.0757  0.06
Rubinstein 1966   15  0.4421  0.0039  0.0539  0.1630  0.3026  0.22
Schilhawsky 1960   46  0.3356  0.0026  0.0635  0.1938  0.2033  0.19
Shebanova 2002   11  0.4786  0.0010  0.1810  0.5320  0.4010  0.46
Smith 1975   39  0.3610  0.0020  0.0727  0.2768  0.0437  0.10
Sokolov 2002   13  0.4587  0.0014  0.1222  0.3139  0.2123  0.26
Sztompka 1959   45  0.3357  0.0057  0.0460  0.0448  0.0660  0.05
Tomsic 1995   36  0.366  0.0049  0.0468  0.0451  0.0568  0.04
Uninsky 1932   41  0.3543  0.0037  0.0534  0.2073  0.0441  0.09
Uninsky 1971   35  0.3658  0.0025  0.0615  0.3941  0.2120  0.29
Wasowski 1980   28  0.3831  0.0019  0.0821  0.3232  0.2322  0.27
Zak 1937   44  0.3432  0.0051  0.0461  0.0444  0.0854  0.06
Zak 1951   53  0.3188  0.0050  0.0457  0.0449  0.0659  0.05
Average   9  0.545  0.005  0.264  0.7543  0.1813  0.37
Random 1   90  0.0089  0.0090  0.0190  0.0153  0.0489  0.02
Random 2   89  0.0590  0.0088  0.0383  0.0313  0.3639  0.10
Random 3   88  0.0991  0.0089  0.0289  0.0225  0.2951  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).