Paderewski 1912

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3128  0.0034  0.0933  0.0920  0.2927  0.16
Ashkenazy 1981   23  0.3729  0.0028  0.0726  0.2525  0.1822  0.21
Beliavsky 2004   36  0.3225  0.0031  0.0632  0.1417  0.4020  0.24
BenOr 1989   45  0.3060  0.0048  0.0455  0.0453  0.0653  0.05
Biret 1990   14  0.3913  0.0112  0.089  0.4129  0.1719  0.26
Blet 2003   54  0.2647  0.0051  0.0363  0.0361  0.0463  0.03
Block 1995   50  0.2921  0.0141  0.0739  0.0759  0.0352  0.05
Brailowsky 1960   35  0.3256  0.0045  0.0447  0.0450  0.0749  0.05
Chiu 1999   19  0.3811  0.039  0.158  0.4211  0.503  0.46
Clidat 1994   31  0.3410  0.0327  0.0728  0.2436  0.0731  0.13
Cohen 1997   61  0.2337  0.0042  0.0642  0.0622  0.3130  0.14
Coop 1987   46  0.3063  0.0049  0.0358  0.0361  0.0462  0.03
Cortot 1951   33  0.335  0.056  0.1624  0.289  0.606  0.41
Czerny 1949   9  0.4038  0.0015  0.0914  0.3631  0.1521  0.23
Czerny 1949b   20  0.3820  0.0114  0.0716  0.3420  0.3313  0.33
Ezaki 2006   62  0.2353  0.0062  0.0446  0.0460  0.0554  0.04
Falvay 1989   30  0.3527  0.0036  0.0740  0.0734  0.0737  0.07
Ferenczy 1958   57  0.2564  0.0052  0.0362  0.0359  0.0464  0.03
Fiorentino 1962   39  0.3142  0.0055  0.0452  0.0439  0.0947  0.06
Fliere 1977   52  0.2857  0.0043  0.0643  0.0650  0.0548  0.05
Fou 1978   34  0.3230  0.0047  0.0454  0.0447  0.0650  0.05
Francois 1956   25  0.3614  0.0130  0.0730  0.1713  0.4517  0.28
Hatto 1997   24  0.3743  0.0024  0.0725  0.2840  0.0729  0.14
Horowitz 1971   28  0.3517  0.0118  0.0627  0.2542  0.0535  0.11
Horowitz 1985   44  0.3152  0.0035  0.0741  0.0754  0.0640  0.06
Indjic 2001   21  0.3751  0.0023  0.0722  0.3027  0.2816  0.29
Kapell 1951   55  0.2636  0.0050  0.0357  0.0355  0.0461  0.03
Kiepura 1999   10  0.3924  0.0013  0.1011  0.3834  0.0824  0.17
Kilenyi 1937   47  0.3019  0.0144  0.0449  0.0437  0.0942  0.06
Kissin 1993   2  0.457  0.043  0.202  0.5514  0.591  0.57
Kitain 1937   40  0.3131  0.0033  0.0835  0.0819  0.4023  0.18
Kushner 1990   41  0.3132  0.0037  0.0738  0.0748  0.0541  0.06
Levy 1951   26  0.3635  0.0026  0.1120  0.3120  0.3512  0.33
Luisada 1990   37  0.3248  0.0039  0.0834  0.0850  0.0544  0.06
Lushtak 2004   32  0.3439  0.0029  0.0829  0.2146  0.0633  0.11
Lympany 1968   13  0.3944  0.0019  0.0823  0.3023  0.3414  0.32
Magaloff 1977   8  0.4012  0.0220  0.0713  0.3611  0.429  0.39
Magaloff 1977b   12  0.3922  0.0022  0.0715  0.357  0.4111  0.38
Magin 1975   53  0.2741  0.0058  0.0448  0.0462  0.0359  0.03
Milkina 1970   3  0.441  0.271  0.273  0.5022  0.345  0.41
Mohovich 1999   49  0.2923  0.0040  0.0737  0.0745  0.0646  0.06
Nadelmann 1956   1  0.462  0.202  0.261  0.5719  0.2610  0.38
Ohlsson 1999   16  0.3918  0.0110  0.1310  0.3924  0.2515  0.31
Olejniczac 1990   43  0.319  0.0356  0.0360  0.0352  0.0657  0.04
Olejniczak 1991   38  0.3145  0.0054  0.0445  0.0434  0.1138  0.07
Osinska 1989   29  0.3559  0.0032  0.0731  0.1451  0.0536  0.08
Paderewski 1912   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perahia 1994   17  0.3840  0.0017  0.0918  0.3234  0.0925  0.17
Perlemuter 1986   6  0.4333  0.0011  0.1212  0.3848  0.0528  0.14
Poblocka 1999   48  0.3046  0.0057  0.0356  0.0360  0.0458  0.03
Rangell 2001   18  0.3849  0.0016  0.0719  0.3212  0.574  0.43
Risler 1920   59  0.2458  0.0060  0.0451  0.0458  0.0456  0.04
Rosen 1989   60  0.2426  0.0061  0.0544  0.0544  0.0845  0.06
Rubinstein 1939   15  0.3916  0.017  0.166  0.4516  0.368  0.40
Rubinstein 1952   11  0.398  0.0321  0.0817  0.3449  0.0432  0.12
Rubinstein 1966   7  0.414  0.058  0.167  0.4438  0.0626  0.16
Rummel 1943   4  0.433  0.074  0.155  0.471  0.592  0.53
Shebanova 2002   56  0.2665  0.0046  0.0453  0.0449  0.0651  0.05
Smith 1975   5  0.436  0.045  0.184  0.4910  0.337  0.40
Szpilman 1948   51  0.2834  0.0059  0.0450  0.0451  0.0555  0.04
Uninsky 1971   22  0.3754  0.0025  0.0821  0.3027  0.2518  0.27
Wasowski 1980   27  0.3615  0.0138  0.0736  0.0748  0.0539  0.06
Weissenberg 1971   58  0.2462  0.0053  0.0359  0.0359  0.0460  0.03
Random 1    65  -0.0661  0.0065  0.0265  0.0259  0.0365  0.02
Random 2   64  0.0050  0.0064  0.0264  0.0230  0.1843  0.06
Random 3   63  0.0855  0.0063  0.0361  0.037  0.4134  0.11

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).