Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.553  0.082  0.212  0.6417  0.412  0.51
Anderszewski 2003   57  0.3626  0.0149  0.0551  0.0572  0.0366  0.04
Ashkenazy 1981   12  0.4841  0.0011  0.1211  0.4658  0.0426  0.14
Bacha 2000   84  0.2037  0.0081  0.0381  0.0376  0.0374  0.03
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   47  0.4082  0.0039  0.0643  0.1257  0.0450  0.07
Biret 1990   71  0.2863  0.0073  0.0471  0.0472  0.0470  0.04
Blet 2003   20  0.4543  0.0022  0.0917  0.3960  0.0525  0.14
Block 1995   62  0.3415  0.0172  0.0375  0.0364  0.0481  0.03
Blumental 1952   53  0.3719  0.0153  0.0469  0.0436  0.1748  0.08
Boshniakovich 1969   16  0.4630  0.0027  0.0730  0.2634  0.2416  0.25
Brailowsky 1960   61  0.3435  0.0078  0.0550  0.0549  0.0555  0.05
Bunin 1987   42  0.4028  0.0042  0.0738  0.1949  0.0636  0.11
Bunin 1987b   41  0.4058  0.0041  0.0436  0.2048  0.0632  0.11
Chiu 1999   67  0.3253  0.0069  0.0464  0.0482  0.0375  0.03
Cohen 1997   85  0.2086  0.0079  0.0377  0.0360  0.0483  0.03
Cortot 1951   31  0.4331  0.0032  0.0532  0.2534  0.2517  0.25
Csalog 1996   65  0.3469  0.0060  0.0460  0.0434  0.2639  0.10
Czerny 1949   17  0.4690  0.0031  0.0633  0.2245  0.1222  0.16
Czerny 1990   9  0.4975  0.0023  0.0822  0.3761  0.0527  0.14
Duchoud 2007   37  0.4146  0.0021  0.0714  0.4141  0.1418  0.24
Ezaki 2006   2  0.5613  0.023  0.154  0.6222  0.343  0.46
Falvay 1989   35  0.4222  0.0147  0.0552  0.0569  0.0461  0.04
Farrell 1958   74  0.2583  0.0083  0.0380  0.0356  0.0478  0.03
Ferenczy 1958   68  0.3134  0.0054  0.0467  0.0442  0.1252  0.07
Fliere 1977   10  0.4973  0.0020  0.0713  0.4566  0.0429  0.13
Fou 1978   29  0.439  0.039  0.117  0.5234  0.268  0.37
Francois 1956   44  0.4049  0.0059  0.0472  0.0466  0.0386  0.03
Friedman 1923   76  0.2433  0.0065  0.0461  0.0424  0.3038  0.11
Friedman 1923b   77  0.2457  0.0067  0.0463  0.0427  0.2837  0.11
Friedman 1930   54  0.3624  0.0158  0.0554  0.0544  0.1051  0.07
Garcia 2007   87  0.1070  0.0085  0.0285  0.0272  0.0390  0.02
Garcia 2007b   88  0.0971  0.0088  0.0288  0.0283  0.0291  0.02
Gierzod 1998   23  0.4421  0.0129  0.0728  0.2845  0.0923  0.16
Gornostaeva 1994   26  0.4460  0.0025  0.0829  0.2763  0.0440  0.10
Groot 1988   30  0.4314  0.0138  0.0540  0.1571  0.0353  0.07
Harasiewicz 1955   18  0.4645  0.0035  0.0531  0.2678  0.0344  0.09
Hatto 1993   79  0.2272  0.0057  0.0473  0.0463  0.0472  0.04
Hatto 1997   78  0.2381  0.0048  0.0456  0.0465  0.0467  0.04
Horowitz 1949   63  0.3479  0.0075  0.0379  0.0362  0.0479  0.03
Indjic 1988   81  0.2276  0.0056  0.0459  0.0448  0.0565  0.04
Kapell 1951   60  0.3584  0.0064  0.0647  0.0660  0.0456  0.05
Kissin 1993   13  0.4742  0.0024  0.1118  0.3851  0.0624  0.15
Kushner 1989   8  0.515  0.045  0.123  0.6212  0.481  0.55
Luisada 1991   69  0.3068  0.0066  0.0470  0.0468  0.0459  0.04
Lushtak 2004   32  0.4236  0.0012  0.0915  0.4041  0.1419  0.24
Malcuzynski 1961   5  0.5229  0.007  0.125  0.6136  0.229  0.37
Magaloff 1978   49  0.3923  0.0146  0.0555  0.0557  0.0460  0.04
Magin 1975   56  0.3664  0.0050  0.0553  0.0559  0.0462  0.04
Michalowski 1933   66  0.3274  0.0074  0.0458  0.0462  0.0464  0.04
Milkina 1970   51  0.3850  0.0063  0.0646  0.0650  0.0558  0.05
Mohovich 1999   48  0.3959  0.0062  0.0457  0.0452  0.0568  0.04
Moravec 1969   24  0.4416  0.0136  0.0441  0.1538  0.1228  0.13
Morozova 2008   6  0.5217  0.018  0.108  0.4937  0.1415  0.26
Neighaus 1950   55  0.3691  0.0061  0.0465  0.0471  0.0471  0.04
Niedzielski 1931   83  0.2038  0.0084  0.0286  0.0281  0.0289  0.02
Ohlsson 1999   22  0.4444  0.0030  0.0826  0.3057  0.0433  0.11
Osinska 1989   36  0.4285  0.0045  0.0445  0.0972  0.0454  0.06
Pachmann 1927   72  0.2865  0.0070  0.0378  0.0353  0.0563  0.04
Paderewski 1930   43  0.4020  0.0152  0.0468  0.0465  0.0380  0.03
Perlemuter 1992   25  0.4466  0.0034  0.0527  0.2840  0.1320  0.19
Pierdomenico 2008   73  0.2755  0.0082  0.0287  0.0279  0.0388  0.02
Poblocka 1999   27  0.4447  0.0026  0.0723  0.3357  0.0530  0.13
Rabcewiczowa 1932   59  0.3554  0.0076  0.0376  0.0361  0.0477  0.03
Rachmaninoff 1923   46  0.4080  0.0037  0.0542  0.1463  0.0449  0.07
Rangell 2001   28  0.4412  0.0218  0.0719  0.3827  0.2712  0.32
Richter 1976   58  0.3527  0.0043  0.0644  0.1250  0.0545  0.08
Rosen 1989   50  0.3811  0.0315  0.0834  0.2271  0.0347  0.08
Rosenthal 1930   21  0.458  0.0313  0.1216  0.4022  0.464  0.43
Rosenthal 1931   70  0.3032  0.0068  0.0648  0.0639  0.1543  0.09
Rosenthal 1931b   75  0.2561  0.0071  0.0374  0.0364  0.0485  0.03
Rosenthal 1931c   45  0.4048  0.0028  0.0625  0.3123  0.3611  0.33
Rosenthal 1931d   82  0.2177  0.0080  0.0383  0.0363  0.0484  0.03
Rossi 2007   80  0.2288  0.0086  0.0384  0.0386  0.0287  0.02
Rubinstein 1939   86  0.1639  0.0087  0.0382  0.0355  0.0476  0.03
Rubinstein 1952   64  0.3489  0.0077  0.0466  0.0465  0.0573  0.04
Rubinstein 1966   33  0.426  0.0319  0.0812  0.4523  0.395  0.42
Schilhawsky 1960   39  0.4140  0.0040  0.0437  0.1950  0.0634  0.11
Shebanova 2002   34  0.4251  0.0033  0.0635  0.2153  0.0635  0.11
Smith 1975   15  0.4718  0.0116  0.0724  0.3360  0.0431  0.11
Sokolov 2002   19  0.4656  0.0017  0.0720  0.3841  0.1914  0.27
Sztompka 1959   14  0.4710  0.0314  0.0921  0.3735  0.2313  0.29
Tomsic 1995   11  0.482  0.094  0.166  0.5827  0.2410  0.37
Uninsky 1932   4  0.5325  0.0110  0.109  0.4819  0.337  0.40
Uninsky 1971   7  0.514  0.066  0.1110  0.4728  0.366  0.41
Wasowski 1980   40  0.417  0.0351  0.0462  0.0436  0.1941  0.09
Zak 1937   52  0.3752  0.0055  0.0549  0.0554  0.0557  0.05
Zak 1951   38  0.4187  0.0044  0.0739  0.1562  0.0542  0.09
Average   1  0.581  0.341  0.341  0.6867  0.0421  0.16
Random 1   91  -0.0467  0.0091  0.0191  0.0143  0.0882  0.03
Random 2   89  0.0262  0.0089  0.0289  0.0216  0.3346  0.08
Random 3   90  -0.0278  0.0090  0.0190  0.0138  0.1769  0.04

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).