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  0.7053  0.0022  0.0726  0.3153  0.0530  0.12
Anderszewski 2003   27  0.6414  0.0142  0.0441  0.1169  0.0447  0.07
Ashkenazy 1981   66  0.5379  0.0067  0.0456  0.0479  0.0385  0.03
Bacha 2000   45  0.5943  0.0047  0.0451  0.0467  0.0457  0.04
Badura 1965   60  0.5636  0.0064  0.0365  0.0370  0.0483  0.03
Barbosa 1983   88  0.3045  0.0080  0.0366  0.0365  0.0477  0.03
Biret 1990   11  0.7029  0.0019  0.0912  0.4331  0.1914  0.29
Blet 2003   24  0.6441  0.0020  0.1120  0.3729  0.248  0.30
Block 1995   83  0.4363  0.0074  0.0378  0.0350  0.0565  0.04
Blumental 1952   12  0.6911  0.026  0.095  0.5013  0.285  0.37
Boshniakovich 1969   7  0.705  0.085  0.0810  0.4438  0.219  0.30
Brailowsky 1960   49  0.5762  0.0085  0.0287  0.0276  0.0388  0.02
Bunin 1987   84  0.4256  0.0082  0.0384  0.0364  0.0566  0.04
Bunin 1987b   86  0.4124  0.0181  0.0288  0.0261  0.0575  0.03
Chiu 1999   63  0.5459  0.0058  0.0369  0.0366  0.0371  0.03
Cohen 1997   82  0.4751  0.0048  0.0455  0.0419  0.3233  0.11
Cortot 1951   41  0.5927  0.0154  0.0362  0.0366  0.0486  0.03
Csalog 1996   67  0.5387  0.0056  0.0359  0.0336  0.1746  0.07
Czerny 1949   54  0.5631  0.0049  0.0449  0.0450  0.0655  0.05
Czerny 1990   5  0.7158  0.0011  0.097  0.4631  0.1813  0.29
Duchoud 2007   87  0.3947  0.0088  0.0453  0.0473  0.0381  0.03
Ezaki 2006   48  0.5781  0.0077  0.0364  0.0387  0.0370  0.03
Falvay 1989   47  0.5740  0.0063  0.0380  0.0333  0.3731  0.11
Farrell 1958   33  0.6215  0.0115  0.0817  0.3827  0.327  0.35
Ferenczy 1958   30  0.6277  0.0053  0.0448  0.0435  0.1248  0.07
Fliere 1977   22  0.6549  0.0032  0.0628  0.2780  0.0336  0.09
Fou 1978   4  0.722  0.132  0.173  0.5528  0.246  0.36
Francois 1956   2  0.741  0.151  0.152  0.594  0.561  0.57
Friedman 1923   68  0.5373  0.0079  0.0371  0.0349  0.0669  0.04
Friedman 1923b   73  0.5264  0.0078  0.0358  0.0352  0.0667  0.04
Friedman 1930   46  0.5865  0.0076  0.0373  0.0383  0.0379  0.03
Garcia 2007   15  0.6823  0.0121  0.0919  0.3834  0.2212  0.29
Garcia 2007b   20  0.6613  0.0224  0.1118  0.3841  0.1420  0.23
Gierzod 1998   28  0.6322  0.0127  0.0627  0.3149  0.0628  0.14
Gornostaeva 1994   35  0.6018  0.0145  0.0542  0.0952  0.0549  0.07
Groot 1988   56  0.5646  0.0044  0.0443  0.0964  0.0550  0.07
Harasiewicz 1955   40  0.6067  0.0040  0.0538  0.1481  0.0354  0.06
Hatto 1993   50  0.5721  0.0116  0.0714  0.4141  0.1418  0.24
Hatto 1997   37  0.607  0.054  0.0911  0.4338  0.1911  0.29
Horowitz 1949   79  0.4954  0.0075  0.0375  0.0369  0.0476  0.03
Indjic 1988   39  0.6048  0.0017  0.1213  0.4139  0.1715  0.26
Kapell 1951   14  0.6817  0.0112  0.0716  0.3844  0.0824  0.17
Kissin 1993   18  0.6674  0.0023  0.0823  0.3252  0.0432  0.11
Kushner 1989   10  0.7026  0.0113  0.074  0.5331  0.294  0.39
Luisada 1991   51  0.5769  0.0046  0.0450  0.0473  0.0458  0.04
Lushtak 2004   23  0.6533  0.0018  0.0915  0.4035  0.1716  0.26
Malcuzynski 1961   69  0.5210  0.0333  0.0635  0.1540  0.1425  0.14
Magaloff 1978   31  0.6219  0.0125  0.0731  0.2235  0.2221  0.22
Magin 1975   58  0.5652  0.0052  0.0452  0.0487  0.0374  0.03
Michalowski 1933   17  0.678  0.049  0.0924  0.3231  0.2610  0.29
Milkina 1970   26  0.6488  0.0051  0.0446  0.0469  0.0460  0.04
Mohovich 1999   32  0.6282  0.0050  0.0360  0.0369  0.0484  0.03
Moravec 1969   74  0.5172  0.0071  0.0370  0.0332  0.2438  0.08
Morozova 2008   43  0.5975  0.0039  0.0733  0.1562  0.0442  0.08
Neighaus 1950   16  0.689  0.0426  0.0625  0.3280  0.0434  0.11
Niedzielski 1931   38  0.6034  0.0034  0.0540  0.1355  0.0444  0.07
Ohlsson 1999   59  0.5635  0.0065  0.0368  0.0355  0.0562  0.04
Osinska 1989   21  0.6539  0.0031  0.0822  0.3476  0.0429  0.12
Pachmann 1927   9  0.7016  0.0130  0.0729  0.271  0.582  0.40
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   6  0.7012  0.0214  0.079  0.4442  0.1317  0.24
Pierdomenico 2008   71  0.5220  0.0137  0.0439  0.1333  0.2523  0.18
Poblocka 1999   52  0.5728  0.0029  0.0830  0.2472  0.0435  0.10
Rabcewiczowa 1932   3  0.7325  0.0110  0.096  0.5020  0.303  0.39
Rachmaninoff 1923   42  0.5942  0.0072  0.0363  0.0371  0.0472  0.03
Rangell 2001   76  0.504  0.088  0.0932  0.1929  0.2719  0.23
Richter 1976   85  0.4144  0.0087  0.0372  0.0359  0.0561  0.04
Rosen 1989   25  0.6470  0.0038  0.0536  0.1563  0.0443  0.08
Rosenthal 1930   65  0.5438  0.0057  0.0381  0.0364  0.0482  0.03
Rosenthal 1931   80  0.4889  0.0086  0.0361  0.0359  0.0563  0.04
Rosenthal 1931b   77  0.5068  0.0083  0.0386  0.0367  0.0487  0.03
Rosenthal 1931c   72  0.5257  0.0073  0.0383  0.0341  0.1551  0.07
Rosenthal 1931d   78  0.4960  0.0084  0.0376  0.0350  0.0568  0.04
Rossi 2007   44  0.5932  0.0069  0.0385  0.0331  0.2139  0.08
Rubinstein 1939   61  0.5583  0.0062  0.0447  0.0460  0.0559  0.04
Rubinstein 1952   81  0.4780  0.0061  0.0454  0.0441  0.2237  0.09
Rubinstein 1966   53  0.5684  0.0060  0.0382  0.0348  0.0664  0.04
Schilhawsky 1960   62  0.5437  0.0059  0.0379  0.0366  0.0478  0.03
Shebanova 2002   19  0.6690  0.0028  0.0821  0.3446  0.0627  0.14
Smith 1975   55  0.5666  0.0066  0.0367  0.0376  0.0373  0.03
Sokolov 2002   70  0.5255  0.0068  0.0374  0.0385  0.0289  0.02
Sztompka 1959   13  0.696  0.067  0.108  0.4546  0.0822  0.19
Tomsic 1995   75  0.5161  0.0070  0.0377  0.0337  0.2241  0.08
Uninsky 1932   57  0.5676  0.0055  0.0357  0.0370  0.0480  0.03
Uninsky 1971   64  0.5471  0.0041  0.0544  0.0977  0.0453  0.06
Wasowski 1980   34  0.6030  0.0043  0.0445  0.0871  0.0552  0.06
Zak 1937   29  0.6291  0.0036  0.0437  0.1465  0.0445  0.07
Zak 1951   36  0.6050  0.0035  0.0534  0.1567  0.0440  0.08
Average   1  0.773  0.103  0.141  0.6176  0.0326  0.14
Random 1   91  -0.3178  0.0091  0.0191  0.0182  0.0291  0.01
Random 2   89  -0.0785  0.0089  0.0289  0.0237  0.1356  0.05
Random 3   90  -0.2086  0.0090  0.0190  0.0164  0.0490  0.02

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).