Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.4273  0.0072  0.0375  0.0363  0.0478  0.03
Anderszewski 2003   53  0.4228  0.0034  0.0538  0.1562  0.0348  0.07
Ashkenazy 1981   10  0.5918  0.019  0.107  0.5335  0.2012  0.33
Bacha 2000   71  0.3385  0.0085  0.0287  0.0270  0.0387  0.02
Badura 1965   65  0.4057  0.0058  0.0365  0.0368  0.0481  0.03
Barbosa 1983   67  0.3845  0.0043  0.0643  0.1278  0.0351  0.06
Biret 1990   66  0.4044  0.0067  0.0371  0.0359  0.0483  0.03
Blet 2003   15  0.552  0.133  0.146  0.5412  0.445  0.49
Block 1995   11  0.587  0.0410  0.109  0.5114  0.446  0.47
Blumental 1952   57  0.4261  0.0020  0.0835  0.1720  0.3223  0.23
Boshniakovich 1969   7  0.6017  0.0112  0.103  0.5417  0.512  0.52
Brailowsky 1960   70  0.3481  0.0087  0.0286  0.0286  0.0288  0.02
Bunin 1987   33  0.4910  0.0223  0.1418  0.3437  0.1818  0.25
Bunin 1987b   31  0.4911  0.0222  0.0719  0.3437  0.1815  0.25
Chiu 1999   78  0.3153  0.0065  0.0374  0.0365  0.0469  0.03
Cohen 1997   75  0.3274  0.0073  0.0361  0.0345  0.1057  0.05
Cortot 1951   19  0.5413  0.0113  0.1114  0.4312  0.467  0.44
Csalog 1996   68  0.3651  0.0086  0.0382  0.0367  0.0475  0.03
Czerny 1949   52  0.4258  0.0069  0.0380  0.0362  0.0477  0.03
Czerny 1990   16  0.5475  0.0044  0.0544  0.1158  0.0549  0.07
Duchoud 2007   51  0.4386  0.0064  0.0379  0.0373  0.0379  0.03
Ezaki 2006   42  0.4787  0.0068  0.0376  0.0382  0.0286  0.02
Falvay 1989   48  0.4377  0.0071  0.0378  0.0377  0.0371  0.03
Farrell 1958   50  0.438  0.0326  0.0828  0.2129  0.2720  0.24
Ferenczy 1958   35  0.4865  0.0051  0.0647  0.0623  0.3534  0.14
Fliere 1977   6  0.6034  0.0014  0.1010  0.5041  0.1219  0.24
Fou 1978   63  0.4042  0.0054  0.0455  0.0468  0.0462  0.04
Francois 1956   37  0.4839  0.0048  0.0554  0.0579  0.0366  0.04
Friedman 1923   86  0.2137  0.0033  0.0641  0.1225  0.3027  0.19
Friedman 1923b   85  0.2136  0.0032  0.0540  0.1226  0.2926  0.19
Friedman 1930   55  0.423  0.122  0.1311  0.509  0.541  0.52
Garcia 2007   83  0.2570  0.0076  0.0459  0.0450  0.0656  0.05
Garcia 2007b   87  0.1762  0.0075  0.0285  0.0239  0.2052  0.06
Gierzod 1998   20  0.5268  0.0038  0.0629  0.2063  0.0442  0.09
Gornostaeva 1994   29  0.4969  0.0052  0.0550  0.0550  0.0558  0.05
Groot 1988   13  0.5746  0.0040  0.0632  0.1848  0.0544  0.09
Harasiewicz 1955   60  0.4149  0.0039  0.0636  0.1766  0.0447  0.08
Hatto 1993   77  0.3129  0.0036  0.0634  0.1865  0.0446  0.08
Hatto 1997   79  0.3076  0.0037  0.0739  0.1452  0.0545  0.08
Horowitz 1949   56  0.4227  0.0061  0.0364  0.0382  0.0374  0.03
Indjic 1988   76  0.3122  0.0135  0.0533  0.1857  0.0540  0.09
Kapell 1951   3  0.6212  0.026  0.132  0.5523  0.434  0.49
Kissin 1993   8  0.594  0.118  0.1217  0.4034  0.2613  0.32
Kushner 1989   23  0.5155  0.0046  0.0552  0.0565  0.0463  0.04
Luisada 1991   59  0.4147  0.0063  0.0370  0.0382  0.0367  0.03
Lushtak 2004   32  0.4921  0.0117  0.1012  0.4542  0.1417  0.25
Malcuzynski 1961   2  0.6240  0.0015  0.1013  0.4344  0.1222  0.23
Magaloff 1978   4  0.6133  0.0016  0.1115  0.4347  0.0729  0.17
Magin 1975   49  0.4315  0.0160  0.0377  0.0364  0.0472  0.03
Michalowski 1933   39  0.4731  0.0019  0.1016  0.419  0.459  0.43
Milkina 1970   46  0.4478  0.0074  0.0458  0.0471  0.0464  0.04
Mohovich 1999   21  0.5259  0.0041  0.0626  0.2275  0.0443  0.09
Moravec 1969   27  0.5020  0.0149  0.0551  0.0530  0.2038  0.10
Morozova 2008   69  0.3550  0.0078  0.0367  0.0375  0.0376  0.03
Neighaus 1950   25  0.5163  0.0025  0.0720  0.3442  0.1325  0.21
Niedzielski 1931   58  0.4114  0.0156  0.0457  0.0450  0.0561  0.04
Ohlsson 1999   22  0.5119  0.0147  0.0649  0.0663  0.0454  0.05
Osinska 1989   14  0.5748  0.0018  0.1021  0.3419  0.3411  0.34
Pachmann 1927   64  0.4016  0.0124  0.0824  0.2532  0.2516  0.25
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   45  0.4638  0.0045  0.0545  0.1145  0.1236  0.11
Pierdomenico 2008   61  0.4143  0.0066  0.0456  0.0448  0.0653  0.05
Poblocka 1999   5  0.615  0.084  0.138  0.5219  0.368  0.43
Rabcewiczowa 1932   44  0.4730  0.0050  0.0648  0.0629  0.2935  0.13
Rachmaninoff 1923   80  0.2971  0.0077  0.0368  0.0383  0.0370  0.03
Rangell 2001   17  0.5435  0.0021  0.0822  0.3138  0.1821  0.24
Richter 1976   38  0.4866  0.0053  0.0746  0.0735  0.1737  0.11
Rosen 1989   40  0.4754  0.0031  0.0531  0.2038  0.1628  0.18
Rosenthal 1930   62  0.4190  0.0070  0.0363  0.0359  0.0480  0.03
Rosenthal 1931   82  0.2688  0.0081  0.0284  0.0273  0.0391  0.02
Rosenthal 1931b   81  0.2779  0.0082  0.0366  0.0369  0.0385  0.03
Rosenthal 1931c   36  0.4824  0.0130  0.0542  0.1235  0.2233  0.16
Rosenthal 1931d   72  0.3382  0.0080  0.0381  0.0360  0.0484  0.03
Rossi 2007   84  0.2483  0.0079  0.0460  0.0441  0.0950  0.06
Rubinstein 1939   88  0.1680  0.0089  0.0289  0.0274  0.0389  0.02
Rubinstein 1952   28  0.5056  0.0057  0.0362  0.0350  0.0759  0.05
Rubinstein 1966   43  0.4764  0.0055  0.0553  0.0548  0.0655  0.05
Schilhawsky 1960   30  0.4925  0.0029  0.0525  0.2335  0.2224  0.22
Shebanova 2002   18  0.549  0.0311  0.1023  0.3039  0.2314  0.26
Smith 1975   12  0.5723  0.017  0.135  0.5430  0.2710  0.38
Sokolov 2002   34  0.4860  0.0059  0.0372  0.0366  0.0468  0.03
Sztompka 1959   9  0.596  0.065  0.174  0.5411  0.483  0.51
Tomsic 1995   26  0.5032  0.0042  0.0637  0.1553  0.0539  0.09
Uninsky 1932   41  0.4772  0.0027  0.0627  0.2240  0.1232  0.16
Uninsky 1971   24  0.5126  0.0028  0.0730  0.2044  0.1530  0.17
Wasowski 1980   47  0.4341  0.0062  0.0369  0.0350  0.0660  0.04
Zak 1937   73  0.3389  0.0084  0.0283  0.0288  0.0390  0.02
Zak 1951   74  0.3391  0.0083  0.0373  0.0385  0.0373  0.03
Average   1  0.681  0.161  0.161  0.6673  0.0431  0.16
Random 1   91  -0.0252  0.0091  0.0191  0.0133  0.1865  0.04
Random 2   89  0.0667  0.0088  0.0288  0.025  0.4341  0.09
Random 3   90  0.0284  0.0090  0.0190  0.0141  0.1282  0.03

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).