Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.5161  0.0029  0.1122  0.4075  0.0426  0.13
Anderszewski 2003   35  0.4352  0.0050  0.0381  0.0385  0.0375  0.03
Ashkenazy 1981   57  0.3969  0.0052  0.0376  0.0384  0.0385  0.03
Bacha 2000   43  0.4213  0.0147  0.0458  0.0458  0.0448  0.04
Badura 1965   58  0.3921  0.0145  0.0545  0.0965  0.0545  0.07
Barbosa 1983   88  0.2256  0.0077  0.0372  0.0381  0.0472  0.03
Biret 1990   17  0.4832  0.0019  0.0914  0.4968  0.0424  0.14
Blet 2003   51  0.4177  0.0058  0.0465  0.0474  0.0376  0.03
Block 1995   87  0.2259  0.0082  0.0288  0.0283  0.0390  0.02
Blumental 1952   24  0.4615  0.0116  0.0819  0.4555  0.0522  0.15
Boshniakovich 1969   2  0.573  0.123  0.273  0.6751  0.0610  0.20
Brailowsky 1960   86  0.2453  0.0088  0.0467  0.0485  0.0363  0.03
Bunin 1987   73  0.3542  0.0073  0.0460  0.0454  0.0557  0.04
Bunin 1987b   76  0.3445  0.0074  0.0453  0.0449  0.0552  0.04
Chiu 1999   65  0.3737  0.0069  0.0382  0.0366  0.0466  0.03
Cohen 1997   72  0.3543  0.0059  0.0455  0.0429  0.2334  0.10
Cortot 1951   46  0.4116  0.0135  0.0638  0.1650  0.0535  0.09
Csalog 1996   80  0.3285  0.0079  0.0385  0.0378  0.0374  0.03
Czerny 1949   20  0.4724  0.0021  0.0818  0.4564  0.0521  0.15
Czerny 1990   15  0.4917  0.0117  0.1016  0.4965  0.0516  0.16
Duchoud 2007   85  0.2579  0.0087  0.0380  0.0375  0.0381  0.03
Ezaki 2006   79  0.3280  0.0084  0.0375  0.0377  0.0461  0.03
Falvay 1989   68  0.3686  0.0072  0.0457  0.0468  0.0550  0.04
Farrell 1958   29  0.4434  0.0023  0.1420  0.4556  0.0614  0.16
Ferenczy 1958   61  0.3770  0.0066  0.0547  0.0555  0.0455  0.04
Fliere 1977   30  0.4448  0.0041  0.0640  0.1377  0.0441  0.07
Fou 1978   16  0.4819  0.019  0.109  0.5454  0.0515  0.16
Francois 1956   4  0.541  0.261  0.262  0.6912  0.561  0.62
Friedman 1923   67  0.3762  0.0070  0.0462  0.0466  0.0560  0.04
Friedman 1923b   64  0.3754  0.0068  0.0459  0.0472  0.0458  0.04
Friedman 1930   53  0.4035  0.0067  0.0378  0.0369  0.0478  0.03
Garcia 2007   10  0.5031  0.0014  0.0810  0.5337  0.273  0.38
Garcia 2007b   18  0.4836  0.0015  0.0912  0.5245  0.0811  0.20
Gierzod 1998   19  0.4850  0.0012  0.0821  0.4580  0.0329  0.12
Gornostaeva 1994   28  0.4530  0.0037  0.0635  0.2167  0.0340  0.08
Groot 1988   63  0.3758  0.0049  0.0377  0.0387  0.0387  0.03
Harasiewicz 1955   32  0.4446  0.0036  0.0534  0.2264  0.0436  0.09
Hatto 1993   44  0.4263  0.0010  0.1215  0.4970  0.0425  0.14
Hatto 1997   31  0.445  0.066  0.178  0.5474  0.0420  0.15
Horowitz 1949   74  0.3439  0.0083  0.0387  0.0383  0.0369  0.03
Indjic 1988   33  0.4338  0.008  0.1013  0.5185  0.0328  0.12
Kapell 1951   23  0.4623  0.0027  0.0923  0.3870  0.0427  0.12
Kissin 1993   22  0.4767  0.0028  0.0928  0.3384  0.0332  0.10
Kushner 1989   11  0.5072  0.0013  0.087  0.5769  0.0418  0.15
Luisada 1991   60  0.3840  0.0060  0.0548  0.0576  0.0349  0.04
Lushtak 2004   52  0.4076  0.0053  0.0379  0.0385  0.0383  0.03
Malcuzynski 1961   25  0.469  0.0326  0.1029  0.3142  0.1112  0.18
Magaloff 1978   45  0.4210  0.0222  0.0930  0.2967  0.0431  0.11
Magin 1975   38  0.4355  0.0042  0.0543  0.1187  0.0346  0.06
Michalowski 1933   7  0.5112  0.0225  0.0825  0.3628  0.285  0.32
Milkina 1970   37  0.4387  0.0056  0.0456  0.0483  0.0368  0.03
Mohovich 1999   84  0.3088  0.0080  0.0464  0.0476  0.0456  0.04
Moravec 1969   69  0.3673  0.0071  0.0450  0.0478  0.0362  0.03
Morozova 2008   48  0.4157  0.0054  0.0466  0.0484  0.0377  0.03
Neighaus 1950   3  0.558  0.035  0.205  0.6142  0.138  0.28
Niedzielski 1931   26  0.4520  0.0133  0.0636  0.2074  0.0337  0.08
Ohlsson 1999   40  0.4228  0.0046  0.0452  0.0487  0.0371  0.03
Osinska 1989   27  0.4581  0.0034  0.0633  0.2565  0.0530  0.11
Pachmann 1927   9  0.5118  0.0131  0.0932  0.268  0.504  0.36
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   12  0.4925  0.0024  0.0924  0.3753  0.0523  0.14
Pierdomenico 2008   14  0.496  0.057  0.166  0.6012  0.482  0.54
Poblocka 1999   78  0.3264  0.0065  0.0463  0.0482  0.0364  0.03
Rabcewiczowa 1932   6  0.5327  0.0018  0.0911  0.5245  0.089  0.20
Rachmaninoff 1923   59  0.3947  0.0063  0.0371  0.0366  0.0467  0.03
Rangell 2001   34  0.437  0.0311  0.0827  0.3339  0.277  0.30
Richter 1976   62  0.3741  0.0048  0.0468  0.0479  0.0370  0.03
Rosen 1989   36  0.4371  0.0055  0.0449  0.0484  0.0384  0.03
Rosenthal 1930   70  0.3565  0.0075  0.0454  0.0477  0.0382  0.03
Rosenthal 1931   82  0.3174  0.0086  0.0370  0.0383  0.0373  0.03
Rosenthal 1931b   75  0.3460  0.0078  0.0384  0.0375  0.0388  0.03
Rosenthal 1931c   71  0.3582  0.0076  0.0461  0.0466  0.0459  0.04
Rosenthal 1931d   81  0.3178  0.0081  0.0386  0.0376  0.0386  0.03
Rossi 2007   13  0.4914  0.0130  0.1126  0.3534  0.276  0.31
Rubinstein 1939   39  0.4266  0.0040  0.0541  0.1357  0.0442  0.07
Rubinstein 1952   77  0.3389  0.0061  0.0546  0.0587  0.0289  0.03
Rubinstein 1966   54  0.4049  0.0057  0.0373  0.0371  0.0554  0.04
Schilhawsky 1960   41  0.4226  0.0043  0.0542  0.1271  0.0444  0.07
Shebanova 2002   50  0.4190  0.0038  0.0639  0.1580  0.0439  0.08
Smith 1975   66  0.3722  0.0062  0.0451  0.0453  0.0551  0.04
Sokolov 2002   56  0.4044  0.0051  0.0383  0.0371  0.0365  0.03
Sztompka 1959   5  0.544  0.094  0.184  0.6561  0.0513  0.18
Tomsic 1995   83  0.3191  0.0085  0.0369  0.0376  0.0553  0.04
Uninsky 1932   55  0.4083  0.0064  0.0374  0.0370  0.0479  0.03
Uninsky 1971   42  0.4229  0.0032  0.0731  0.2779  0.0433  0.10
Wasowski 1980   21  0.4711  0.0220  0.0917  0.4665  0.0517  0.15
Zak 1937   47  0.4151  0.0044  0.0544  0.1178  0.0443  0.07
Zak 1951   49  0.4133  0.0039  0.0737  0.1778  0.0438  0.08
Average   1  0.592  0.122  0.251  0.7484  0.0319  0.15
Random 1   91  -0.1584  0.0090  0.0190  0.0180  0.0291  0.01
Random 2   90  -0.1075  0.0091  0.0191  0.0145  0.0780  0.03
Random 3   89  -0.0868  0.0089  0.0289  0.0239  0.1347  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).