Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.345  0.0131  0.0538  0.1148  0.0551  0.07
Anderszewski 2003   4  0.6917  0.003  0.274  0.571  0.613  0.59
Ashkenazy 1981   3  0.7025  0.006  0.223  0.586  0.514  0.54
Bacha 2000   21  0.5040  0.0048  0.0355  0.0326  0.3135  0.10
Badura 1965   83  0.2444  0.0061  0.0370  0.0362  0.0480  0.03
Barbosa 1983   50  0.3751  0.0019  0.0824  0.2935  0.2522  0.27
Biret 1990   8  0.6013  0.007  0.118  0.4711  0.359  0.41
Blet 2003   15  0.5532  0.0023  0.0916  0.3927  0.2317  0.30
Block 1995   87  0.0775  0.0088  0.0287  0.0286  0.0287  0.02
Blumental 1952   31  0.4372  0.0037  0.0732  0.1525  0.2027  0.17
Boshniakovich 1969   82  0.2545  0.0085  0.0286  0.0278  0.0389  0.02
Brailowsky 1960   34  0.4160  0.0047  0.0453  0.0437  0.1350  0.07
Bunin 1987   11  0.5727  0.0015  0.1215  0.3931  0.2615  0.32
Bunin 1987b   10  0.5820  0.0013  0.0814  0.3930  0.2714  0.32
Chiu 1999   47  0.3822  0.0030  0.0528  0.1933  0.2026  0.19
Cohen 1997   68  0.319  0.0075  0.0378  0.0327  0.2744  0.09
Cortot 1951   44  0.3852  0.0034  0.0442  0.0943  0.1334  0.11
Csalog 1996   63  0.3238  0.0069  0.0365  0.0331  0.2743  0.09
Czerny 1949   69  0.3036  0.0051  0.0448  0.0451  0.0659  0.05
Czerny 1990   45  0.3830  0.0032  0.0529  0.1973  0.0348  0.08
Duchoud 2007   6  0.6747  0.004  0.236  0.529  0.466  0.49
Ezaki 2006   20  0.5010  0.0021  0.079  0.4535  0.1720  0.28
Falvay 1989   51  0.3715  0.0041  0.0440  0.1041  0.1137  0.10
Farrell 1958   19  0.5082  0.0053  0.0373  0.0359  0.0470  0.03
Ferenczy 1958   26  0.4826  0.0026  0.0825  0.2825  0.3119  0.29
Fliere 1977   23  0.4885  0.0035  0.0433  0.1548  0.0541  0.09
Fou 1978   42  0.3919  0.0045  0.0446  0.0468  0.0464  0.04
Francois 1956   80  0.2759  0.0068  0.0375  0.0359  0.0485  0.03
Friedman 1923   73  0.2963  0.0064  0.0447  0.0449  0.0662  0.05
Friedman 1923b   71  0.3039  0.0063  0.0374  0.0350  0.0667  0.04
Friedman 1930   61  0.3341  0.0036  0.0536  0.1262  0.0546  0.08
Garcia 2007   66  0.3290  0.0054  0.0376  0.0351  0.0566  0.04
Garcia 2007b   79  0.2749  0.0055  0.0368  0.0332  0.1456  0.06
Gierzod 1998   17  0.5383  0.0020  0.0821  0.3527  0.2123  0.27
Gornostaeva 1994   74  0.2950  0.0084  0.0356  0.0379  0.0382  0.03
Groot 1988   65  0.3248  0.0074  0.0371  0.0354  0.0483  0.03
Harasiewicz 1955   81  0.2664  0.0038  0.0431  0.1652  0.0449  0.08
Hatto 1993   2  0.972  0.012  0.842  0.892  0.912  0.90
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   49  0.3865  0.0060  0.0363  0.0357  0.0475  0.03
Indjic 1988   1  0.981  0.881  0.871  0.912  0.941  0.92
Kapell 1951   13  0.5533  0.0012  0.0910  0.4525  0.3610  0.40
Kissin 1993   77  0.2842  0.0077  0.0283  0.0258  0.0477  0.03
Kushner 1989   39  0.4066  0.0062  0.0358  0.0377  0.0371  0.03
Luisada 1991   7  0.6131  0.008  0.1512  0.4111  0.418  0.41
Lushtak 2004   9  0.5857  0.009  0.157  0.5122  0.357  0.42
Malcuzynski 1961   32  0.423  0.0152  0.0367  0.0366  0.0473  0.03
Magaloff 1978   48  0.388  0.0017  0.0730  0.1838  0.1528  0.16
Magin 1975   18  0.5276  0.0016  0.1022  0.3213  0.2816  0.30
Michalowski 1933   64  0.3255  0.0024  0.1018  0.3726  0.3412  0.35
Milkina 1970   41  0.4037  0.0076  0.0366  0.0369  0.0472  0.03
Mohovich 1999   40  0.4067  0.0042  0.0535  0.1237  0.1133  0.11
Moravec 1969   56  0.3423  0.0050  0.0450  0.0431  0.1940  0.09
Morozova 2008   22  0.4928  0.0014  0.0823  0.3135  0.1325  0.20
Neighaus 1950   25  0.486  0.0140  0.0639  0.1161  0.0453  0.07
Niedzielski 1931   85  0.2368  0.0065  0.0369  0.0340  0.1254  0.06
Ohlsson 1999   5  0.6812  0.005  0.205  0.548  0.515  0.52
Osinska 1989   75  0.2814  0.0070  0.0449  0.0458  0.0463  0.04
Pachmann 1927   72  0.3058  0.0043  0.0444  0.0736  0.1930  0.12
Paderewski 1930   60  0.3335  0.0071  0.0452  0.0441  0.1055  0.06
Perlemuter 1992   84  0.2389  0.0078  0.0377  0.0379  0.0368  0.03
Pierdomenico 2008   78  0.2879  0.0067  0.0359  0.0369  0.0369  0.03
Poblocka 1999   14  0.5580  0.0010  0.1311  0.4326  0.2811  0.35
Rabcewiczowa 1932   67  0.3134  0.0056  0.0360  0.0345  0.0757  0.05
Rachmaninoff 1923   43  0.3953  0.0028  0.0827  0.2051  0.0442  0.09
Rangell 2001   54  0.3569  0.0073  0.0280  0.0225  0.2252  0.07
Richter 1976   62  0.3273  0.0066  0.0361  0.0356  0.0476  0.03
Rosen 1989   46  0.3818  0.0072  0.0372  0.0355  0.0481  0.03
Rosenthal 1930   33  0.4254  0.0057  0.0454  0.0464  0.0379  0.03
Rosenthal 1931   59  0.3370  0.0083  0.0364  0.0363  0.0478  0.03
Rosenthal 1931b   57  0.3484  0.0082  0.0282  0.0265  0.0484  0.03
Rosenthal 1931c   53  0.3661  0.0081  0.0285  0.0281  0.0390  0.02
Rosenthal 1931d   70  0.3081  0.0079  0.0279  0.0234  0.1460  0.05
Rossi 2007   90  -0.1586  0.0089  0.0289  0.0286  0.0286  0.02
Rubinstein 1939   24  0.4856  0.0029  0.0641  0.1018  0.4024  0.20
Rubinstein 1952   86  0.2274  0.0080  0.0284  0.0236  0.1461  0.05
Rubinstein 1966   16  0.5324  0.0044  0.0443  0.0734  0.1832  0.11
Schilhawsky 1960   27  0.4629  0.0018  0.0717  0.3833  0.2121  0.28
Shebanova 2002   38  0.4046  0.0049  0.0451  0.0431  0.2438  0.10
Smith 1975   29  0.4571  0.0022  0.0813  0.4051  0.0529  0.14
Sokolov 2002   12  0.5711  0.0011  0.1120  0.3630  0.2813  0.32
Sztompka 1959   37  0.4043  0.0058  0.0445  0.0450  0.0658  0.05
Tomsic 1995   30  0.444  0.0159  0.0362  0.0359  0.0474  0.03
Uninsky 1932   55  0.3487  0.0039  0.0534  0.1343  0.1231  0.12
Uninsky 1971   28  0.4621  0.0025  0.1019  0.3634  0.2318  0.29
Wasowski 1980   36  0.407  0.0027  0.0826  0.2364  0.0436  0.10
Zak 1937   35  0.4062  0.0046  0.0357  0.0347  0.0665  0.04
Zak 1951   52  0.3677  0.0033  0.0537  0.1253  0.0545  0.08
Random 1   89  -0.0578  0.0090  0.0190  0.0169  0.0388  0.02
Random 2   88  0.0288  0.0087  0.0281  0.026  0.4639  0.10
Random 3   76  0.2816  0.0086  0.0288  0.0220  0.2947  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).