Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.3350  0.0072  0.0379  0.0376  0.0381  0.03
Anderszewski 2003   38  0.3415  0.0113  0.0830  0.2651  0.0730  0.13
Ashkenazy 1981   25  0.3536  0.0053  0.0650  0.0664  0.0650  0.06
Bacha 2000   48  0.3343  0.0041  0.0541  0.1337  0.2020  0.16
Badura 1965   70  0.2681  0.0063  0.0464  0.0465  0.0382  0.03
Barbosa 1983   2  0.462  0.102  0.212  0.6823  0.403  0.52
Biret 1990   9  0.4021  0.018  0.155  0.5924  0.444  0.51
Blet 2003   14  0.3827  0.0028  0.0629  0.2836  0.2316  0.25
Block 1995   53  0.3161  0.0051  0.0845  0.0881  0.0356  0.05
Blumental 1952   6  0.424  0.094  0.194  0.6123  0.472  0.54
Boshniakovich 1969   3  0.451  0.261  0.261  0.6824  0.375  0.50
Brailowsky 1960   47  0.3325  0.0047  0.0648  0.0648  0.0747  0.06
Bunin 1987   27  0.3529  0.0021  0.0720  0.3727  0.3311  0.35
Bunin 1987b   36  0.3453  0.0027  0.1026  0.3230  0.3212  0.32
Chiu 1999   10  0.408  0.0317  0.1012  0.4261  0.0526  0.14
Cohen 1997   84  0.2165  0.0085  0.0384  0.0386  0.0290  0.02
Cortot 1951   57  0.3052  0.0062  0.0461  0.0436  0.2039  0.09
Csalog 1996   62  0.2947  0.0058  0.0378  0.0369  0.0479  0.03
Czerny 1949   61  0.2957  0.0065  0.0474  0.0456  0.0568  0.04
Czerny 1990   32  0.3518  0.0118  0.0913  0.4149  0.0817  0.18
Duchoud 2007   86  0.1788  0.0086  0.0475  0.0480  0.0469  0.04
Ezaki 2006   52  0.3285  0.0070  0.0468  0.0470  0.0462  0.04
Falvay 1989   71  0.2651  0.0080  0.0381  0.0383  0.0377  0.03
Farrell 1958   80  0.2476  0.0066  0.0473  0.0470  0.0466  0.04
Ferenczy 1958   82  0.2241  0.0084  0.0287  0.0272  0.0480  0.03
Fliere 1977   4  0.4470  0.009  0.107  0.5862  0.0422  0.15
Fou 1978   60  0.2938  0.0068  0.0462  0.0469  0.0467  0.04
Francois 1956   58  0.3034  0.0073  0.0467  0.0443  0.1245  0.07
Friedman 1923   59  0.2959  0.0055  0.0463  0.0452  0.0661  0.05
Friedman 1923b   63  0.2982  0.0061  0.0560  0.0563  0.0558  0.05
Friedman 1930   24  0.3669  0.0024  0.0916  0.4030  0.3110  0.35
Garcia 2007   78  0.2455  0.0071  0.0553  0.0570  0.0470  0.04
Garcia 2007b   50  0.3242  0.0046  0.0651  0.0670  0.0460  0.05
Gierzod 1998   18  0.3754  0.0026  0.0921  0.3756  0.0624  0.15
Gornostaeva 1994   75  0.2586  0.0082  0.0385  0.0379  0.0384  0.03
Groot 1988   49  0.3332  0.0049  0.0647  0.0681  0.0372  0.04
Harasiewicz 1955   1  0.486  0.057  0.179  0.5352  0.0618  0.18
Hatto 1993   26  0.3540  0.0032  0.0731  0.2575  0.0435  0.10
Hatto 1997   35  0.3449  0.0033  0.0738  0.1471  0.0442  0.07
Horowitz 1949   44  0.3310  0.0230  0.0633  0.1732  0.3615  0.25
Indjic 1988   17  0.3724  0.0122  0.0722  0.3665  0.0529  0.13
Kapell 1951   23  0.3616  0.0112  0.0711  0.4558  0.0621  0.16
Kissin 1993   51  0.3264  0.0054  0.0554  0.0574  0.0555  0.05
Kushner 1989   16  0.3844  0.0025  0.0814  0.4063  0.0528  0.14
Luisada 1991   15  0.3845  0.0034  0.0637  0.1444  0.0933  0.11
Lushtak 2004   19  0.3717  0.0119  0.0817  0.4029  0.2513  0.32
Malcuzynski 1961   7  0.4123  0.016  0.166  0.5836  0.248  0.37
Magaloff 1978   11  0.3933  0.0015  0.1018  0.3950  0.0527  0.14
Magin 1975   34  0.3472  0.0037  0.0634  0.1755  0.0536  0.09
Michalowski 1933   29  0.3528  0.0023  0.0723  0.355  0.606  0.46
Milkina 1970   45  0.3313  0.0248  0.0652  0.0659  0.0553  0.05
Mohovich 1999   39  0.3420  0.0139  0.0544  0.0953  0.0544  0.07
Moravec 1969   65  0.2856  0.0060  0.0470  0.0477  0.0374  0.03
Morozova 2008   37  0.3431  0.0036  0.0536  0.1581  0.0341  0.07
Neighaus 1950   66  0.2837  0.0074  0.0466  0.0486  0.0386  0.03
Niedzielski 1931   77  0.2446  0.0075  0.0557  0.0583  0.0364  0.04
Ohlsson 1999   20  0.3726  0.0014  0.0825  0.3482  0.0334  0.10
Osinska 1989   13  0.3880  0.0029  0.0627  0.3149  0.0531  0.12
Pachmann 1927   55  0.3177  0.0059  0.0558  0.0557  0.0654  0.05
Paderewski 1930   73  0.2666  0.0069  0.0471  0.0445  0.0948  0.06
Perlemuter 1992   33  0.3575  0.0050  0.0746  0.0760  0.0546  0.06
Pierdomenico 2008   69  0.2768  0.0067  0.0469  0.0459  0.0463  0.04
Poblocka 1999   12  0.397  0.055  0.1210  0.4636  0.289  0.36
Rabcewiczowa 1932   67  0.2767  0.0057  0.0559  0.0574  0.0465  0.04
Rachmaninoff 1923   40  0.3412  0.0216  0.1015  0.4049  0.0719  0.17
Rangell 2001   76  0.2587  0.0076  0.0465  0.0485  0.0285  0.03
Richter 1976   28  0.355  0.0511  0.1024  0.3536  0.2514  0.30
Rosen 1989   31  0.3514  0.0235  0.0632  0.1957  0.0438  0.09
Rosenthal 1930   72  0.2662  0.0077  0.0380  0.0346  0.0671  0.04
Rosenthal 1931   85  0.2090  0.0083  0.0383  0.0369  0.0478  0.03
Rosenthal 1931b   83  0.2179  0.0079  0.0555  0.0553  0.0559  0.05
Rosenthal 1931c   74  0.2574  0.0078  0.0382  0.0373  0.0387  0.03
Rosenthal 1931d   79  0.2411  0.0252  0.0649  0.0633  0.2332  0.12
Rossi 2007   81  0.2373  0.0081  0.0286  0.0250  0.0676  0.03
Rubinstein 1939   64  0.2822  0.0144  0.0543  0.1075  0.0352  0.05
Rubinstein 1952   43  0.3363  0.0045  0.0556  0.0569  0.0473  0.04
Rubinstein 1966   41  0.3458  0.0043  0.0540  0.1375  0.0349  0.06
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   21  0.3719  0.0120  0.1119  0.3859  0.0623  0.15
Smith 1975   42  0.3330  0.0064  0.0476  0.0451  0.0651  0.05
Sokolov 2002   68  0.279  0.0356  0.0472  0.0487  0.0275  0.03
Sztompka 1959   56  0.3171  0.0042  0.0542  0.1156  0.0540  0.07
Tomsic 1995   87  0.1678  0.0087  0.0377  0.0388  0.0288  0.02
Uninsky 1932   54  0.3189  0.0040  0.0539  0.1363  0.0443  0.07
Uninsky 1971   22  0.3635  0.0038  0.0635  0.1665  0.0537  0.09
Wasowski 1980   30  0.3548  0.0031  0.0728  0.3045  0.0725  0.14
Zak 1937   8  0.4039  0.0010  0.138  0.5724  0.357  0.45
Zak 1951   5  0.433  0.103  0.183  0.6512  0.491  0.56
Random 1   89  -0.0184  0.0089  0.0188  0.0139  0.1183  0.03
Random 2   88  0.0060  0.0088  0.0189  0.0147  0.0689  0.02
Random 3   90  -0.0583  0.0090  0.0190  0.0130  0.2257  0.05

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).