Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7053  0.0021  0.0725  0.3152  0.0529  0.12
Anderszewski 2003   26  0.6415  0.0141  0.0440  0.1168  0.0446  0.07
Ashkenazy 1981   65  0.5378  0.0066  0.0455  0.0478  0.0384  0.03
Bacha 2000   44  0.5943  0.0046  0.0450  0.0466  0.0457  0.04
Badura 1965   59  0.5637  0.0063  0.0364  0.0369  0.0482  0.03
Barbosa 1983   87  0.3045  0.0079  0.0365  0.0364  0.0476  0.03
Biret 1990   10  0.7029  0.0018  0.0911  0.4330  0.1914  0.29
Blet 2003   23  0.6441  0.0019  0.1119  0.3728  0.248  0.30
Block 1995   82  0.4362  0.0073  0.0377  0.0349  0.0565  0.04
Blumental 1952   11  0.698  0.045  0.094  0.5012  0.285  0.37
Boshniakovich 1969   6  0.704  0.084  0.089  0.4437  0.219  0.30
Brailowsky 1960   48  0.5761  0.0084  0.0286  0.0275  0.0387  0.02
Bunin 1987   83  0.4256  0.0081  0.0383  0.0363  0.0566  0.04
Bunin 1987b   85  0.4125  0.0180  0.0287  0.0260  0.0574  0.03
Chiu 1999   62  0.5458  0.0057  0.0368  0.0365  0.0370  0.03
Cohen 1997   81  0.4751  0.0047  0.0454  0.0419  0.3232  0.11
Cortot 1951   40  0.5927  0.0153  0.0361  0.0365  0.0485  0.03
Csalog 1996   66  0.5386  0.0055  0.0358  0.0335  0.1745  0.07
Czerny 1949   53  0.5631  0.0048  0.0448  0.0449  0.0654  0.05
Czerny 1990   4  0.7119  0.0110  0.096  0.4630  0.1813  0.29
Duchoud 2007   86  0.3947  0.0087  0.0452  0.0472  0.0380  0.03
Ezaki 2006   47  0.5779  0.0076  0.0363  0.0386  0.0369  0.03
Falvay 1989   46  0.5740  0.0062  0.0379  0.0333  0.3730  0.11
Farrell 1958   32  0.6216  0.0114  0.0816  0.3826  0.327  0.35
Ferenczy 1958   29  0.6276  0.0052  0.0447  0.0434  0.1247  0.07
Fliere 1977   21  0.6549  0.0031  0.0627  0.2779  0.0335  0.09
Fou 1978   3  0.721  0.171  0.172  0.5527  0.246  0.36
Francois 1956   1  0.742  0.162  0.191  0.593  0.561  0.57
Friedman 1923   67  0.5372  0.0078  0.0370  0.0348  0.0756  0.05
Friedman 1923b   72  0.5263  0.0077  0.0357  0.0351  0.0667  0.04
Friedman 1930   45  0.5864  0.0075  0.0372  0.0382  0.0378  0.03
Garcia 2007   14  0.6824  0.0120  0.1018  0.3833  0.2212  0.29
Garcia 2007b   19  0.6613  0.0223  0.1117  0.3840  0.1420  0.23
Gierzod 1998   27  0.6323  0.0126  0.0626  0.3148  0.0627  0.14
Gornostaeva 1994   34  0.6018  0.0144  0.0541  0.0951  0.0548  0.07
Groot 1988   55  0.5646  0.0043  0.0442  0.0963  0.0549  0.07
Harasiewicz 1955   39  0.6066  0.0039  0.0537  0.1480  0.0353  0.06
Hatto 1993   49  0.5722  0.0115  0.0713  0.4140  0.1418  0.24
Hatto 1997   36  0.606  0.053  0.0910  0.4337  0.1911  0.29
Horowitz 1949   78  0.4954  0.0074  0.0374  0.0368  0.0475  0.03
Indjic 1988   38  0.6048  0.0016  0.1212  0.4138  0.1715  0.26
Kapell 1951   13  0.6814  0.0111  0.0715  0.3843  0.0824  0.17
Kissin 1993   17  0.6673  0.0022  0.0822  0.3251  0.0431  0.11
Kushner 1989   9  0.7026  0.0112  0.073  0.5330  0.294  0.39
Luisada 1991   50  0.5768  0.0045  0.0449  0.0472  0.0458  0.04
Lushtak 2004   22  0.6533  0.0017  0.0914  0.4034  0.1716  0.26
Malcuzynski 1961   68  0.5210  0.0332  0.0634  0.1539  0.1425  0.14
Magaloff 1978   30  0.6220  0.0124  0.0730  0.2234  0.2221  0.22
Magin 1975   57  0.5652  0.0051  0.0451  0.0486  0.0373  0.03
Michalowski 1933   16  0.677  0.048  0.0923  0.3230  0.2610  0.29
Milkina 1970   25  0.6487  0.0050  0.0545  0.0568  0.0460  0.04
Mohovich 1999   31  0.6281  0.0049  0.0359  0.0368  0.0483  0.03
Moravec 1969   73  0.5171  0.0070  0.0369  0.0331  0.2437  0.08
Morozova 2008   42  0.5974  0.0038  0.0732  0.1561  0.0441  0.08
Neighaus 1950   15  0.689  0.0425  0.0624  0.3279  0.0433  0.11
Niedzielski 1931   37  0.6034  0.0033  0.0639  0.1354  0.0443  0.07
Ohlsson 1999   58  0.5635  0.0064  0.0367  0.0354  0.0562  0.04
Osinska 1989   20  0.6539  0.0030  0.0821  0.3475  0.0428  0.12
Pachmann 1927   8  0.7017  0.0129  0.0728  0.271  0.582  0.40
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   5  0.7011  0.0213  0.078  0.4441  0.1317  0.24
Pierdomenico 2008   70  0.5221  0.0136  0.0438  0.1332  0.2523  0.18
Poblocka 1999   51  0.5728  0.0028  0.0829  0.2471  0.0434  0.10
Rabcewiczowa 1932   2  0.7312  0.029  0.095  0.5019  0.303  0.39
Rachmaninoff 1923   41  0.5942  0.0071  0.0362  0.0370  0.0471  0.03
Rangell 2001   75  0.503  0.087  0.1031  0.1928  0.2719  0.23
Richter 1976   84  0.4144  0.0086  0.0371  0.0358  0.0661  0.04
Rosen 1989   24  0.6469  0.0037  0.0535  0.1562  0.0442  0.08
Rosenthal 1930   64  0.5438  0.0056  0.0380  0.0363  0.0481  0.03
Rosenthal 1931   79  0.4888  0.0085  0.0360  0.0358  0.0563  0.04
Rosenthal 1931b   76  0.5067  0.0082  0.0385  0.0366  0.0486  0.03
Rosenthal 1931c   71  0.5257  0.0072  0.0382  0.0340  0.1550  0.07
Rosenthal 1931d   77  0.4959  0.0083  0.0375  0.0349  0.0668  0.04
Rossi 2007   43  0.5932  0.0068  0.0384  0.0330  0.2138  0.08
Rubinstein 1939   60  0.5582  0.0061  0.0446  0.0459  0.0559  0.04
Rubinstein 1952   80  0.4780  0.0060  0.0453  0.0440  0.2236  0.09
Rubinstein 1966   52  0.5683  0.0059  0.0381  0.0347  0.0664  0.04
Schilhawsky 1960   61  0.5436  0.0058  0.0378  0.0365  0.0477  0.03
Shebanova 2002   18  0.6689  0.0027  0.0820  0.3445  0.0626  0.14
Smith 1975   54  0.5665  0.0065  0.0366  0.0375  0.0372  0.03
Sokolov 2002   69  0.5255  0.0067  0.0373  0.0384  0.0288  0.02
Sztompka 1959   12  0.695  0.066  0.107  0.4545  0.0822  0.19
Tomsic 1995   74  0.5160  0.0069  0.0376  0.0336  0.2240  0.08
Uninsky 1932   56  0.5675  0.0054  0.0356  0.0369  0.0479  0.03
Uninsky 1971   63  0.5470  0.0040  0.0543  0.0976  0.0452  0.06
Wasowski 1980   33  0.6030  0.0042  0.0444  0.0870  0.0551  0.06
Zak 1937   28  0.6290  0.0035  0.0436  0.1464  0.0444  0.07
Zak 1951   35  0.6050  0.0034  0.0533  0.1566  0.0439  0.08
Random 1   90  -0.3177  0.0090  0.0190  0.0179  0.0290  0.01
Random 2   88  -0.0784  0.0088  0.0288  0.0237  0.1355  0.05
Random 3   89  -0.2085  0.0089  0.0189  0.0162  0.0489  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).