Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.1984  0.0070  0.0569  0.0576  0.0374  0.04
Anderszewski 2003   66  0.1922  0.0056  0.0665  0.0654  0.0658  0.06
Ashkenazy 1981   5  0.5112  0.019  0.187  0.7225  0.5910  0.65
Bacha 2000   54  0.2441  0.0045  0.0747  0.0739  0.1946  0.12
Badura 1965   64  0.2185  0.0067  0.0568  0.0578  0.0375  0.04
Barbosa 1983   41  0.3142  0.0041  0.0738  0.2832  0.3231  0.30
Biret 1990   82  0.0836  0.0085  0.0384  0.0363  0.0486  0.03
Blet 2003   7  0.494  0.047  0.168  0.714  0.695  0.70
Block 1995   3  0.542  0.212  0.432  0.804  0.742  0.77
Blumental 1952   47  0.2654  0.0057  0.0656  0.0670  0.0468  0.05
Boshniakovich 1969   19  0.435  0.0313  0.1616  0.6120  0.5115  0.56
Brailowsky 1960   87  0.0171  0.0087  0.0287  0.0284  0.0388  0.02
Bunin 1987   57  0.2314  0.0148  0.0659  0.0648  0.0759  0.06
Bunin 1987b   58  0.2367  0.0049  0.0751  0.0748  0.0753  0.07
Chiu 1999   36  0.3279  0.0040  0.0742  0.2257  0.0647  0.11
Cohen 1997   75  0.1376  0.0083  0.0385  0.0372  0.0384  0.03
Cortot 1951   45  0.2760  0.0037  0.0744  0.2129  0.3934  0.29
Csalog 1996   49  0.2533  0.0030  0.0843  0.2136  0.2137  0.21
Czerny 1949   90  -0.0972  0.0090  0.0190  0.0181  0.0290  0.01
Czerny 1990   42  0.2877  0.0050  0.0658  0.0653  0.0760  0.06
Duchoud 2007   68  0.1962  0.0066  0.0663  0.0670  0.0466  0.05
Ezaki 2006   76  0.1168  0.0082  0.0379  0.0373  0.0378  0.03
Falvay 1989   72  0.1663  0.0068  0.0664  0.0676  0.0371  0.04
Farrell 1958   86  0.0227  0.0075  0.0380  0.0371  0.0380  0.03
Ferenczy 1958   89  -0.0343  0.0088  0.0288  0.0270  0.0482  0.03
Fliere 1977   4  0.5335  0.004  0.184  0.7421  0.656  0.69
Fou 1978   50  0.2523  0.0051  0.0749  0.0773  0.0363  0.05
Francois 1956   70  0.1855  0.0069  0.0661  0.0645  0.0855  0.07
Friedman 1923   18  0.4315  0.0122  0.0820  0.5534  0.4321  0.49
Friedman 1923b   17  0.4337  0.0023  0.1522  0.5436  0.4420  0.49
Friedman 1930   13  0.479  0.0112  0.1614  0.6316  0.6211  0.62
Garcia 2007   31  0.367  0.0214  0.1324  0.5017  0.4819  0.49
Garcia 2007b   33  0.3426  0.0032  0.0731  0.3824  0.5224  0.44
Gierzod 1998   65  0.2064  0.0054  0.0566  0.0545  0.0954  0.07
Gornostaeva 1994   73  0.1458  0.0079  0.0377  0.0366  0.0485  0.03
Groot 1988   10  0.4816  0.018  0.1912  0.6418  0.4617  0.54
Harasiewicz 1955   25  0.3865  0.0039  0.0736  0.3257  0.0545  0.13
Hatto 1993   12  0.476  0.0310  0.226  0.7219  0.5213  0.61
Hatto 1997   43  0.2838  0.0043  0.0841  0.2336  0.2038  0.21
Horowitz 1949   30  0.3648  0.0036  0.0735  0.3245  0.0940  0.17
Indjic 1988   9  0.483  0.136  0.185  0.7315  0.618  0.67
Kapell 1951   40  0.3132  0.0044  0.1240  0.2451  0.0743  0.13
Kissin 1993   1  0.581  0.351  0.351  0.833  0.831  0.83
Kushner 1989   27  0.3853  0.0033  0.0829  0.4232  0.3127  0.36
Luisada 1991   22  0.4128  0.0021  0.1123  0.5429  0.3822  0.45
Lushtak 2004   51  0.2530  0.0046  0.0745  0.0726  0.2344  0.13
Malcuzynski 1961   16  0.4439  0.0019  0.1613  0.6419  0.4914  0.56
Magaloff 1978   21  0.4129  0.0017  0.1118  0.6017  0.5116  0.55
Magin 1975   6  0.5110  0.0111  0.249  0.709  0.783  0.74
Michalowski 1933   23  0.4124  0.0031  0.0927  0.4337  0.2828  0.35
Milkina 1970   77  0.1146  0.0072  0.0378  0.0380  0.0381  0.03
Mohovich 1999   35  0.3347  0.0035  0.0834  0.3431  0.2732  0.30
Moravec 1969   55  0.2486  0.0058  0.0748  0.0757  0.0461  0.05
Morozova 2008   52  0.2534  0.0059  0.0655  0.0673  0.0465  0.05
Neighaus 1950   29  0.3666  0.0026  0.0825  0.5047  0.0939  0.21
Niedzielski 1931   15  0.4421  0.0020  0.1717  0.6122  0.4518  0.52
Ohlsson 1999   26  0.3813  0.0125  0.0826  0.4641  0.1136  0.22
Osinska 1989   62  0.2231  0.0065  0.0752  0.0749  0.0656  0.06
Pachmann 1927   14  0.4620  0.0018  0.1511  0.6513  0.707  0.67
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   8  0.4911  0.015  0.1815  0.6219  0.6112  0.61
Pierdomenico 2008   39  0.3140  0.0029  0.0733  0.3525  0.3726  0.36
Poblocka 1999   61  0.2352  0.0052  0.0657  0.0652  0.0562  0.05
Rabcewiczowa 1932   84  0.0787  0.0084  0.0286  0.0266  0.0479  0.03
Rachmaninoff 1923   67  0.1973  0.0071  0.0472  0.0460  0.0470  0.04
Rangell 2001   53  0.2478  0.0053  0.0567  0.0569  0.0476  0.04
Richter 1976   11  0.4856  0.0015  0.1310  0.6528  0.659  0.65
Rosen 1989   44  0.2769  0.0047  0.0653  0.0662  0.0467  0.05
Rosenthal 1930   71  0.1680  0.0074  0.0382  0.0372  0.0483  0.03
Rosenthal 1931   83  0.0788  0.0080  0.0474  0.0453  0.0573  0.04
Rosenthal 1931b   79  0.1074  0.0078  0.0475  0.0453  0.0577  0.04
Rosenthal 1931c   48  0.2681  0.0055  0.0660  0.0632  0.3142  0.14
Rosenthal 1931d   80  0.1089  0.0077  0.0471  0.0474  0.0387  0.03
Rossi 2007   74  0.1370  0.0073  0.0381  0.0322  0.3249  0.10
Rubinstein 1939   81  0.1082  0.0086  0.0376  0.0385  0.0289  0.02
Rubinstein 1952   28  0.3750  0.0028  0.0628  0.4331  0.3325  0.38
Rubinstein 1966   38  0.3259  0.0042  0.0939  0.2665  0.0548  0.11
Schilhawsky 1960   46  0.2618  0.0060  0.0654  0.0644  0.1250  0.08
Shebanova 2002   2  0.558  0.023  0.183  0.7717  0.664  0.71
Smith 1975   63  0.2244  0.0064  0.0746  0.0746  0.0752  0.07
Sokolov 2002   34  0.3319  0.0038  0.0837  0.2923  0.4129  0.34
Sztompka 1959   20  0.4117  0.0016  0.1019  0.5634  0.3423  0.44
Tomsic 1995   37  0.3257  0.0034  0.0930  0.4128  0.2430  0.31
Uninsky 1932   24  0.4061  0.0024  0.1121  0.5543  0.1533  0.29
Uninsky 1971   59  0.2351  0.0063  0.0750  0.0776  0.0364  0.05
Wasowski 1980   32  0.3425  0.0027  0.0832  0.3644  0.1635  0.24
Zak 1937   56  0.2475  0.0061  0.0662  0.0648  0.0757  0.06
Zak 1951   60  0.2383  0.0062  0.0570  0.0568  0.0472  0.04
Random 1   78  0.1149  0.0076  0.0473  0.045  0.5441  0.15
Random 2   85  0.0445  0.0081  0.0383  0.0334  0.2051  0.08
Random 3   88  0.0090  0.0089  0.0289  0.0235  0.1569  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).