Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.2952  0.0040  0.0541  0.1579  0.0338  0.07
Anderszewski 2003   67  0.1668  0.0054  0.0459  0.0480  0.0370  0.03
Ashkenazy 1981   28  0.2553  0.0037  0.0633  0.1986  0.0245  0.06
Bacha 2000   20  0.298  0.0311  0.0917  0.3840  0.2110  0.28
Badura 1965   63  0.1829  0.0063  0.0648  0.0667  0.0448  0.05
Barbosa 1983   78  0.1377  0.0051  0.0460  0.0486  0.0268  0.03
Biret 1990   33  0.2328  0.0034  0.0630  0.2176  0.0333  0.08
Blet 2003   47  0.2178  0.0068  0.0557  0.0570  0.0354  0.04
Block 1995   89  -0.0779  0.0089  0.0288  0.0289  0.0190  0.01
Blumental 1952   80  0.1212  0.0229  0.0639  0.1680  0.0339  0.07
Boshniakovich 1969   2  0.403  0.113  0.232  0.6759  0.0612  0.20
Brailowsky 1960   87  0.0045  0.0087  0.0285  0.0285  0.0279  0.02
Bunin 1987   29  0.2438  0.0058  0.0461  0.0484  0.0375  0.03
Bunin 1987b   44  0.2221  0.0162  0.0551  0.0584  0.0351  0.04
Chiu 1999   71  0.1454  0.0075  0.0377  0.0387  0.0281  0.02
Cohen 1997   51  0.2141  0.0044  0.0644  0.1273  0.0346  0.06
Cortot 1951   45  0.229  0.0317  0.0821  0.3631  0.336  0.34
Csalog 1996   77  0.1456  0.0083  0.0379  0.0388  0.0283  0.02
Czerny 1949   7  0.3517  0.017  0.135  0.6046  0.0911  0.23
Czerny 1990   31  0.247  0.0322  0.0820  0.3673  0.0327  0.10
Duchoud 2007   75  0.1471  0.0079  0.0376  0.0377  0.0372  0.03
Ezaki 2006   84  0.0680  0.0085  0.0282  0.0288  0.0277  0.02
Falvay 1989   76  0.1481  0.0076  0.0458  0.0486  0.0363  0.03
Farrell 1958   42  0.2342  0.0041  0.0637  0.1668  0.0431  0.08
Ferenczy 1958   73  0.1449  0.0074  0.0378  0.0372  0.0471  0.03
Fliere 1977   60  0.1857  0.0067  0.0464  0.0482  0.0360  0.03
Fou 1978   43  0.2219  0.0124  0.0825  0.3368  0.0421  0.11
Francois 1956   6  0.352  0.192  0.217  0.5818  0.403  0.48
Friedman 1923   54  0.2059  0.0046  0.0647  0.0653  0.0549  0.05
Friedman 1923b   50  0.2160  0.0045  0.0643  0.1379  0.0441  0.07
Friedman 1930   56  0.1950  0.0059  0.0467  0.0464  0.0456  0.04
Garcia 2007   15  0.3115  0.0216  0.0819  0.3739  0.229  0.29
Garcia 2007b   21  0.2864  0.0019  0.0814  0.4363  0.0515  0.15
Gierzod 1998   11  0.3382  0.0014  0.1013  0.4478  0.0325  0.11
Gornostaeva 1994   26  0.2565  0.0021  0.1022  0.3581  0.0326  0.10
Groot 1988   62  0.1869  0.0064  0.0465  0.0476  0.0457  0.04
Harasiewicz 1955   38  0.2339  0.0049  0.0553  0.0568  0.0458  0.04
Hatto 1993   53  0.2143  0.0025  0.0923  0.3570  0.0420  0.12
Hatto 1997   39  0.235  0.0510  0.1011  0.4884  0.0319  0.12
Horowitz 1949   58  0.1946  0.0071  0.0470  0.0474  0.0453  0.04
Indjic 1988   48  0.2136  0.0023  0.1018  0.3885  0.0324  0.11
Kapell 1951   40  0.2348  0.0053  0.0466  0.0482  0.0364  0.03
Kissin 1993   46  0.2261  0.0047  0.0646  0.0655  0.0644  0.06
Kushner 1989   16  0.3062  0.0020  0.1015  0.4269  0.0417  0.13
Luisada 1991   57  0.1927  0.0033  0.0642  0.1365  0.0434  0.07
Lushtak 2004   74  0.1470  0.0070  0.0471  0.0486  0.0373  0.03
Malcuzynski 1961   10  0.3344  0.0015  0.0716  0.3972  0.0322  0.11
Magaloff 1978   55  0.2051  0.0031  0.0628  0.2487  0.0235  0.07
Magin 1975   24  0.2783  0.0042  0.0545  0.1288  0.0247  0.05
Michalowski 1933   12  0.3318  0.0127  0.0829  0.2114  0.468  0.31
Milkina 1970   37  0.2366  0.0055  0.0550  0.0587  0.0266  0.03
Mohovich 1999   85  0.0484  0.0081  0.0284  0.0288  0.0287  0.02
Moravec 1969   68  0.1585  0.0065  0.0372  0.0383  0.0278  0.02
Morozova 2008   34  0.2367  0.0060  0.0555  0.0576  0.0355  0.04
Neighaus 1950   3  0.394  0.064  0.263  0.6613  0.502  0.57
Niedzielski 1931   49  0.2120  0.0161  0.0556  0.0573  0.0450  0.04
Ohlsson 1999   25  0.2532  0.0056  0.0463  0.0479  0.0367  0.03
Osinska 1989   41  0.2314  0.0257  0.0552  0.0586  0.0261  0.03
Pachmann 1927   8  0.3413  0.0212  0.0924  0.3430  0.345  0.34
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   19  0.2937  0.0035  0.0536  0.1765  0.0429  0.08
Pierdomenico 2008   1  0.451  0.221  0.221  0.677  0.611  0.64
Poblocka 1999   86  0.0088  0.0086  0.0287  0.0287  0.0280  0.02
Rabcewiczowa 1932   22  0.2822  0.0128  0.0634  0.1888  0.0243  0.06
Rachmaninoff 1923   83  0.0858  0.0066  0.0462  0.0479  0.0362  0.03
Rangell 2001   13  0.3224  0.009  0.138  0.5652  0.0613  0.18
Richter 1976   17  0.3030  0.0026  0.0727  0.2775  0.0328  0.09
Rosen 1989   32  0.2440  0.0069  0.0469  0.0487  0.0374  0.03
Rosenthal 1930   72  0.1472  0.0073  0.0374  0.0384  0.0286  0.02
Rosenthal 1931   79  0.1373  0.0080  0.0380  0.0381  0.0369  0.03
Rosenthal 1931b   64  0.1763  0.0072  0.0373  0.0386  0.0289  0.02
Rosenthal 1931c   70  0.1574  0.0077  0.0381  0.0383  0.0376  0.03
Rosenthal 1931d   69  0.1589  0.0078  0.0375  0.0388  0.0288  0.02
Rossi 2007   4  0.386  0.045  0.186  0.5925  0.334  0.44
Rubinstein 1939   14  0.3135  0.0018  0.0710  0.5181  0.0318  0.12
Rubinstein 1952   65  0.1790  0.0048  0.0549  0.0582  0.0359  0.04
Rubinstein 1966   36  0.2375  0.0039  0.0540  0.1684  0.0336  0.07
Schilhawsky 1960   27  0.2533  0.0038  0.0532  0.1980  0.0332  0.08
Shebanova 2002   82  0.0991  0.0082  0.0286  0.0285  0.0384  0.02
Smith 1975   66  0.1623  0.0132  0.0635  0.1772  0.0430  0.08
Sokolov 2002   35  0.2355  0.0036  0.0531  0.2083  0.0242  0.06
Sztompka 1959   9  0.3416  0.018  0.139  0.5342  0.207  0.33
Tomsic 1995   81  0.1186  0.0084  0.0283  0.0286  0.0282  0.02
Uninsky 1932   59  0.1847  0.0043  0.0638  0.1677  0.0337  0.07
Uninsky 1971   30  0.2431  0.0030  0.0726  0.3175  0.0423  0.11
Wasowski 1980   23  0.2710  0.0313  0.0812  0.4461  0.0514  0.15
Zak 1937   61  0.1826  0.0052  0.0468  0.0488  0.0365  0.03
Zak 1951   52  0.2125  0.0050  0.0554  0.0582  0.0352  0.04
Average   5  0.3611  0.026  0.204  0.6386  0.0316  0.14
Random 1   91  -0.1087  0.0090  0.0190  0.0174  0.0291  0.01
Random 2   90  -0.1034  0.0091  0.0191  0.0164  0.0385  0.02
Random 3   88  -0.0376  0.0088  0.0289  0.0222  0.2840  0.07

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).