Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.711  0.201  0.201  0.6428  0.325  0.45
Anderszewski 2003   45  0.5224  0.0158  0.0471  0.0464  0.0383  0.03
Ashkenazy 1981   18  0.6020  0.018  0.1012  0.4436  0.2015  0.30
Bacha 2000   81  0.3357  0.0073  0.0474  0.0466  0.0462  0.04
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   42  0.5359  0.0054  0.0472  0.0455  0.0659  0.05
Biret 1990   66  0.4686  0.0067  0.0650  0.0674  0.0461  0.05
Blet 2003   17  0.6136  0.0019  0.0716  0.3933  0.2016  0.28
Block 1995   59  0.4774  0.0061  0.0557  0.0574  0.0369  0.04
Blumental 1952   69  0.4246  0.0069  0.0468  0.0481  0.0285  0.03
Boshniakovich 1969   6  0.675  0.076  0.255  0.5710  0.551  0.56
Brailowsky 1960   71  0.4061  0.0085  0.0379  0.0351  0.0563  0.04
Bunin 1987   38  0.5419  0.0132  0.0924  0.3618  0.419  0.38
Bunin 1987b   40  0.5313  0.0131  0.0823  0.3619  0.418  0.38
Chiu 1999   49  0.5154  0.0057  0.0558  0.0573  0.0364  0.04
Cohen 1997   84  0.2679  0.0081  0.0288  0.0283  0.0388  0.02
Cortot 1951   33  0.5611  0.0135  0.0834  0.2734  0.2021  0.23
Csalog 1996   80  0.3488  0.0071  0.0551  0.0547  0.0755  0.06
Czerny 1949   9  0.6775  0.0011  0.1113  0.4324  0.356  0.39
Czerny 1990   13  0.6248  0.0036  0.0736  0.2366  0.0442  0.10
Duchoud 2007   34  0.5653  0.0025  0.0730  0.3229  0.3214  0.32
Ezaki 2006   4  0.6849  0.0010  0.097  0.4851  0.0529  0.15
Falvay 1989   74  0.3926  0.0182  0.0283  0.0276  0.0478  0.03
Farrell 1958   73  0.3966  0.0079  0.0382  0.0388  0.0382  0.03
Ferenczy 1958   54  0.4929  0.0048  0.0467  0.0446  0.0760  0.05
Fliere 1977   7  0.676  0.065  0.204  0.5734  0.267  0.38
Fou 1978   29  0.5727  0.0129  0.0731  0.3250  0.0533  0.13
Francois 1956   48  0.5158  0.0064  0.0554  0.0568  0.0373  0.04
Friedman 1923   61  0.4730  0.0050  0.0647  0.0617  0.4128  0.16
Friedman 1923b   65  0.4652  0.0049  0.0473  0.0418  0.3939  0.12
Friedman 1930   36  0.5535  0.0039  0.0639  0.1835  0.2322  0.20
Garcia 2007   79  0.3571  0.0075  0.0459  0.0485  0.0384  0.03
Garcia 2007b   83  0.3069  0.0078  0.0284  0.0280  0.0391  0.02
Gierzod 1998   22  0.5951  0.0024  0.0820  0.3752  0.0532  0.14
Gornostaeva 1994   39  0.5382  0.0044  0.0741  0.1666  0.0348  0.07
Groot 1988   55  0.4964  0.0063  0.0465  0.0470  0.0471  0.04
Harasiewicz 1955   3  0.698  0.029  0.1111  0.4437  0.1618  0.27
Hatto 1993   58  0.4818  0.0115  0.0833  0.2855  0.0540  0.12
Hatto 1997   53  0.5021  0.0114  0.0628  0.3463  0.0437  0.12
Horowitz 1949   37  0.5443  0.0053  0.0464  0.0444  0.0953  0.06
Indjic 1988   56  0.4823  0.0113  0.0632  0.3053  0.0536  0.12
Kapell 1951   64  0.4662  0.0047  0.0553  0.0574  0.0466  0.04
Kissin 1993   12  0.6328  0.0116  0.068  0.4639  0.1419  0.25
Kushner 1989   15  0.6150  0.0020  0.0810  0.4546  0.0725  0.18
Luisada 1991   51  0.5055  0.0059  0.0463  0.0485  0.0375  0.03
Lushtak 2004   19  0.6067  0.0030  0.0826  0.3565  0.0438  0.12
Malcuzynski 1961   43  0.5333  0.0045  0.0545  0.1070  0.0452  0.06
Magaloff 1978   68  0.4489  0.0068  0.0462  0.0477  0.0377  0.03
Magin 1975   52  0.5063  0.0043  0.0544  0.1371  0.0351  0.06
Michalowski 1933   47  0.5273  0.0051  0.0646  0.0657  0.0654  0.06
Milkina 1970   41  0.5316  0.0146  0.0648  0.0659  0.0557  0.05
Mohovich 1999   46  0.5283  0.0056  0.0552  0.0585  0.0370  0.04
Moravec 1969   72  0.4022  0.0176  0.0377  0.0366  0.0374  0.03
Morozova 2008   5  0.672  0.124  0.143  0.6110  0.383  0.48
Neighaus 1950   26  0.5847  0.0027  0.0725  0.3553  0.0535  0.13
Niedzielski 1931   75  0.3944  0.0074  0.0470  0.0487  0.0380  0.03
Ohlsson 1999   23  0.5972  0.0022  0.0722  0.3638  0.1620  0.24
Osinska 1989   20  0.6056  0.0040  0.0640  0.1751  0.0543  0.09
Pachmann 1927   60  0.4765  0.0066  0.0466  0.0438  0.1346  0.07
Paderewski 1930   44  0.5234  0.0055  0.0469  0.0463  0.0467  0.04
Perlemuter 1992   16  0.6160  0.0037  0.1035  0.2641  0.1126  0.17
Pierdomenico 2008   77  0.3668  0.0077  0.0378  0.0385  0.0286  0.02
Poblocka 1999   25  0.5877  0.0017  0.0619  0.3833  0.1917  0.27
Rabcewiczowa 1932   57  0.4887  0.0072  0.0649  0.0687  0.0281  0.03
Rachmaninoff 1923   31  0.579  0.0242  0.0543  0.1472  0.0445  0.07
Rangell 2001   76  0.3832  0.0060  0.0375  0.0341  0.1649  0.07
Richter 1976   27  0.5812  0.0134  0.0929  0.3318  0.4011  0.36
Rosen 1989   50  0.517  0.0312  0.0737  0.1866  0.0444  0.08
Rosenthal 1930   63  0.4641  0.0038  0.0642  0.1524  0.2824  0.20
Rosenthal 1931   86  0.2680  0.0080  0.0287  0.0282  0.0287  0.02
Rosenthal 1931b   88  0.2291  0.0087  0.0285  0.0280  0.0390  0.02
Rosenthal 1931c   78  0.3681  0.0070  0.0461  0.0441  0.1450  0.07
Rosenthal 1931d   87  0.2276  0.0088  0.0380  0.0389  0.0289  0.02
Rossi 2007   70  0.4284  0.0084  0.0289  0.0270  0.0476  0.03
Rubinstein 1939   85  0.2631  0.0086  0.0381  0.0382  0.0379  0.03
Rubinstein 1952   82  0.3170  0.0083  0.0376  0.0353  0.0672  0.04
Rubinstein 1966   67  0.4639  0.0062  0.0460  0.0465  0.0468  0.04
Schilhawsky 1960   14  0.6237  0.0021  0.0717  0.3834  0.3212  0.35
Shebanova 2002   28  0.5840  0.0028  0.0621  0.3744  0.1123  0.20
Smith 1975   35  0.5542  0.0052  0.0556  0.0583  0.0365  0.04
Sokolov 2002   32  0.5617  0.0123  0.0618  0.3832  0.3410  0.36
Sztompka 1959   10  0.6425  0.0118  0.0914  0.4035  0.2513  0.32
Tomsic 1995   62  0.4645  0.0065  0.0555  0.0546  0.0558  0.05
Uninsky 1932   8  0.6714  0.017  0.139  0.4516  0.484  0.46
Uninsky 1971   11  0.644  0.103  0.216  0.5417  0.432  0.48
Wasowski 1980   24  0.5810  0.0241  0.0738  0.1835  0.1330  0.15
Zak 1937   30  0.5738  0.0033  0.0927  0.3460  0.0534  0.13
Zak 1951   21  0.5915  0.0126  0.0715  0.3951  0.0631  0.15
Average   2  0.703  0.112  0.172  0.6155  0.0427  0.16
Random 1   91  -0.0890  0.0091  0.0191  0.0111  0.4447  0.07
Random 2   89  0.0385  0.0089  0.0286  0.023  0.5641  0.11
Random 3   90  -0.0578  0.0090  0.0190  0.0116  0.3356  0.06

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).