Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   47  0.3042  0.0044  0.0744  0.1425  0.4338  0.25
Ashkenazy 1981   37  0.3373  0.0050  0.0746  0.0747  0.0856  0.07
Bacha 2000   40  0.3222  0.0147  0.0552  0.0531  0.2744  0.12
Badura 1965   38  0.3219  0.0146  0.0748  0.0726  0.4342  0.17
Barbosa 1983   15  0.3910  0.0223  0.0728  0.3721  0.4327  0.40
Biret 1990   63  0.2478  0.0079  0.0286  0.0251  0.0687  0.03
Blet 2003   17  0.3923  0.0029  0.0733  0.3433  0.3932  0.36
Block 1995   81  0.1963  0.0068  0.0374  0.0379  0.0485  0.03
Blumental 1952   32  0.3440  0.0034  0.0927  0.3820  0.5023  0.44
Boshniakovich 1969   65  0.2364  0.0064  0.0464  0.0459  0.0666  0.05
Brailowsky 1960   30  0.3525  0.0035  0.0737  0.2616  0.5430  0.37
Bunin 1987   51  0.3069  0.0055  0.0747  0.0739  0.1650  0.11
Bunin 1987b   50  0.3046  0.0054  0.0466  0.0441  0.1455  0.07
Chiu 1999   10  0.4156  0.0036  0.0636  0.2752  0.0743  0.14
Cohen 1997   18  0.3928  0.0020  0.0916  0.5110  0.5915  0.55
Cortot 1951   85  0.1680  0.0080  0.0288  0.0268  0.0488  0.03
Csalog 1996   68  0.2270  0.0078  0.0381  0.0348  0.0765  0.05
Czerny 1949   33  0.3465  0.0038  0.0838  0.2617  0.7025  0.43
Czerny 1990   56  0.2757  0.0048  0.0553  0.0539  0.2747  0.12
Duchoud 2007   57  0.2766  0.0062  0.0472  0.0457  0.0577  0.04
Ezaki 2006   1  0.521  0.201  0.201  0.713  0.761  0.73
Falvay 1989   14  0.4020  0.0132  0.0732  0.3414  0.4329  0.38
Farrell 1958   26  0.368  0.0324  0.0935  0.2818  0.4831  0.37
Ferenczy 1958   24  0.3617  0.0117  0.0821  0.476  0.836  0.62
Fliere 1977   44  0.3159  0.0057  0.0463  0.0478  0.0470  0.04
Fou 1978   9  0.4153  0.0027  0.0922  0.4627  0.3926  0.42
Francois 1956   60  0.2558  0.0053  0.0462  0.0432  0.3848  0.12
Friedman 1923   59  0.2631  0.0059  0.0473  0.0460  0.0668  0.05
Friedman 1923b   58  0.2616  0.0160  0.0551  0.0560  0.0667  0.05
Friedman 1930   70  0.2174  0.0084  0.0382  0.0378  0.0483  0.03
Garcia 2007   74  0.2035  0.0041  0.0841  0.2041  0.2041  0.20
Garcia 2007b   71  0.2167  0.0071  0.0458  0.0447  0.0857  0.06
Gierzod 1998   34  0.3424  0.0016  0.0817  0.5113  0.6411  0.57
Gornostaeva 1994   46  0.3051  0.0042  0.0743  0.1629  0.3939  0.25
Groot 1988   11  0.4113  0.0210  0.117  0.6024  0.3920  0.48
Harasiewicz 1955   16  0.3950  0.0025  0.0720  0.4926  0.3228  0.40
Hatto 1993   31  0.3443  0.0022  0.0824  0.4533  0.2833  0.35
Hatto 1997   5  0.4311  0.028  0.159  0.597  0.5610  0.57
Horowitz 1949   75  0.2085  0.0076  0.0385  0.0351  0.0761  0.05
Indjic 1988   41  0.3247  0.0033  0.0730  0.3535  0.2736  0.31
Kapell 1951   80  0.1929  0.0069  0.0460  0.0449  0.0759  0.05
Kissin 1993   77  0.2075  0.0074  0.0457  0.0463  0.0664  0.05
Kushner 1989   54  0.2881  0.0065  0.0467  0.0478  0.0473  0.04
Luisada 1991   23  0.3715  0.0128  0.0729  0.3636  0.2835  0.32
Lushtak 2004   72  0.2186  0.0082  0.0384  0.0373  0.0484  0.03
Malcuzynski 1961   28  0.3534  0.0040  0.0839  0.2352  0.0645  0.12
Magaloff 1978   78  0.1939  0.0072  0.0468  0.0481  0.0379  0.03
Magin 1975   84  0.1776  0.0083  0.0378  0.0374  0.0480  0.03
Michalowski 1933   79  0.1952  0.0073  0.0555  0.0559  0.0663  0.05
Milkina 1970   8  0.4130  0.0014  0.1414  0.557  0.658  0.60
Mohovich 1999   13  0.406  0.049  0.168  0.6011  0.609  0.60
Moravec 1969   36  0.3312  0.0221  0.1019  0.4918  0.4621  0.47
Morozova 2008   3  0.4561  0.0012  0.1011  0.5815  0.4717  0.52
Neighaus 1950   7  0.422  0.173  0.216  0.6312  0.5013  0.56
Niedzielski 1931   69  0.2182  0.0063  0.0470  0.0469  0.0472  0.04
Ohlsson 1999   52  0.2972  0.0066  0.0469  0.0461  0.0476  0.04
Osinska 1989   86  0.1541  0.0081  0.0377  0.0366  0.0478  0.03
Pachmann 1927   64  0.2445  0.0075  0.0380  0.0351  0.0762  0.05
Paderewski 1930   82  0.1987  0.0077  0.0376  0.0369  0.0575  0.04
Perlemuter 1992   55  0.2855  0.0061  0.0461  0.0462  0.0471  0.04
Pierdomenico 2008   76  0.2077  0.0070  0.0465  0.0447  0.0758  0.05
Poblocka 1999   25  0.3614  0.0231  0.0831  0.3428  0.3534  0.34
Rabcewiczowa 1932   27  0.3526  0.0015  0.1018  0.4919  0.6512  0.56
Rachmaninoff 1923   22  0.3738  0.0030  0.0826  0.4123  0.4624  0.43
Rangell 2001   35  0.3436  0.0019  0.0823  0.4510  0.4922  0.47
Richter 1976   83  0.1983  0.0086  0.0383  0.0371  0.0481  0.03
Rosen 1989   45  0.3137  0.0037  0.0734  0.2941  0.1540  0.21
Rosenthal 1930   4  0.453  0.132  0.192  0.667  0.714  0.68
Rosenthal 1931   20  0.385  0.056  0.124  0.658  0.763  0.70
Rosenthal 1931b   19  0.3827  0.007  0.155  0.657  0.802  0.72
Rosenthal 1931c   39  0.3248  0.0026  0.0825  0.4311  0.6118  0.51
Rosenthal 1931d   43  0.329  0.0311  0.1013  0.557  0.707  0.62
Rossi 2007   89  -0.0388  0.0089  0.0189  0.0189  0.0190  0.01
Rubinstein 1939   49  0.3068  0.0049  0.0650  0.0639  0.1254  0.08
Rubinstein 1952   67  0.2333  0.0051  0.0749  0.0742  0.1153  0.09
Rubinstein 1966   12  0.4132  0.0013  0.1210  0.5916  0.4516  0.52
Schilhawsky 1960   73  0.2089  0.0087  0.0375  0.0372  0.0482  0.03
Shebanova 2002   53  0.2979  0.0045  0.0745  0.0745  0.1252  0.09
Smith 1975   21  0.3884  0.0043  0.0842  0.1717  0.5037  0.29
Sokolov 2002   48  0.3018  0.0158  0.0554  0.0538  0.2151  0.10
Sztompka 1959   6  0.434  0.084  0.2612  0.5717  0.5314  0.55
Tomsic 1995   29  0.3544  0.0018  0.0815  0.529  0.4819  0.50
Uninsky 1932   42  0.3249  0.0039  0.0740  0.2255  0.0649  0.11
Uninsky 1971   2  0.477  0.045  0.233  0.654  0.605  0.62
Wasowski 1980   66  0.2390  0.0067  0.0471  0.0467  0.0569  0.04
Zak 1937   62  0.2462  0.0056  0.0459  0.0449  0.0760  0.05
Zak 1951   61  0.2421  0.0152  0.0456  0.0456  0.0574  0.04
Random 1   88  0.0071  0.0088  0.0287  0.0258  0.0486  0.03
Random 2   87  0.1054  0.0085  0.0379  0.039  0.4846  0.12
Random 3   90  -0.1160  0.0090  0.0190  0.0165  0.0389  0.02

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).