Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.5366  0.0057  0.0357  0.0356  0.0471  0.03
Anderszewski 2003   54  0.5149  0.0037  0.0534  0.1555  0.0438  0.08
Ashkenazy 1981   17  0.6432  0.0022  0.0612  0.3942  0.1119  0.21
Bacha 2000   64  0.4490  0.0072  0.0368  0.0362  0.0460  0.03
Badura 1965   58  0.4943  0.0054  0.0356  0.0360  0.0474  0.03
Barbosa 1983   62  0.4569  0.0042  0.0440  0.1074  0.0351  0.05
Biret 1990   47  0.5530  0.0051  0.0452  0.0464  0.0457  0.04
Blet 2003   22  0.612  0.105  0.1114  0.3830  0.2113  0.28
Block 1995   27  0.6015  0.0130  0.0631  0.1617  0.3017  0.22
Blumental 1952   59  0.477  0.0411  0.0725  0.2317  0.3016  0.26
Boshniakovich 1969   13  0.6725  0.0121  0.0717  0.3321  0.3011  0.31
Brailowsky 1960   57  0.5084  0.0076  0.0363  0.0363  0.0462  0.03
Bunin 1987   41  0.5727  0.0114  0.0819  0.2641  0.1221  0.18
Bunin 1987b   40  0.5710  0.0413  0.0720  0.2642  0.1220  0.18
Chiu 1999   80  0.3250  0.0069  0.0276  0.0274  0.0381  0.02
Cohen 1997   66  0.4367  0.0055  0.0451  0.0426  0.2733  0.10
Cortot 1951   7  0.6916  0.018  0.105  0.4517  0.433  0.44
Csalog 1996   70  0.4270  0.0083  0.0287  0.0258  0.0570  0.03
Czerny 1949   32  0.5934  0.0038  0.0535  0.1454  0.0634  0.09
Czerny 1990   14  0.6652  0.0036  0.0533  0.1567  0.0439  0.08
Duchoud 2007   44  0.5591  0.0059  0.0364  0.0373  0.0372  0.03
Ezaki 2006   20  0.6278  0.0050  0.0450  0.0476  0.0359  0.03
Falvay 1989   43  0.5579  0.0066  0.0281  0.0265  0.0466  0.03
Farrell 1958   21  0.6111  0.0317  0.0916  0.3410  0.3010  0.32
Ferenczy 1958   12  0.6773  0.0023  0.0811  0.3924  0.368  0.37
Fliere 1977   11  0.6835  0.0028  0.0718  0.2672  0.0431  0.10
Fou 1978   63  0.4560  0.0067  0.0283  0.0260  0.0567  0.03
Francois 1956   37  0.5744  0.0043  0.0443  0.0961  0.0448  0.06
Friedman 1923   87  0.1247  0.0035  0.0538  0.1235  0.2225  0.16
Friedman 1923b   86  0.1219  0.0132  0.0637  0.1333  0.2123  0.17
Friedman 1930   71  0.423  0.104  0.1113  0.3819  0.377  0.37
Garcia 2007   83  0.2880  0.0079  0.0280  0.0255  0.0473  0.03
Garcia 2007b   88  0.1076  0.0064  0.0365  0.0337  0.1149  0.06
Gierzod 1998   9  0.6829  0.0118  0.0715  0.3734  0.1815  0.26
Gornostaeva 1994   26  0.6038  0.0045  0.0445  0.0857  0.0447  0.06
Groot 1988   16  0.6462  0.0047  0.0647  0.0676  0.0358  0.04
Harasiewicz 1955   69  0.4246  0.0048  0.0746  0.0765  0.0352  0.05
Hatto 1993   84  0.2753  0.0062  0.0453  0.0477  0.0276  0.03
Hatto 1997   78  0.3361  0.0041  0.0542  0.1053  0.0444  0.06
Horowitz 1949   67  0.4342  0.0084  0.0284  0.0281  0.0388  0.02
Indjic 1988   81  0.2865  0.0061  0.0370  0.0378  0.0289  0.02
Kapell 1951   4  0.7214  0.026  0.112  0.5027  0.365  0.42
Kissin 1993   23  0.6113  0.0329  0.0639  0.1151  0.0540  0.07
Kushner 1989   25  0.6172  0.0052  0.0455  0.0466  0.0453  0.04
Luisada 1991   60  0.4585  0.0065  0.0278  0.0275  0.0379  0.02
Lushtak 2004   39  0.5722  0.0115  0.1010  0.3961  0.0430  0.12
Malcuzynski 1961   6  0.6921  0.0124  0.0724  0.2384  0.0337  0.08
Magaloff 1978   8  0.6839  0.0027  0.0926  0.2359  0.0336  0.08
Magin 1975   68  0.4336  0.0085  0.0285  0.0283  0.0285  0.02
Michalowski 1933   50  0.5318  0.019  0.128  0.4214  0.444  0.43
Milkina 1970   38  0.5763  0.0060  0.0367  0.0362  0.0468  0.03
Mohovich 1999   19  0.6326  0.0140  0.0536  0.1368  0.0346  0.06
Moravec 1969   35  0.5924  0.0153  0.0360  0.0341  0.1143  0.06
Morozova 2008   72  0.4187  0.0080  0.0369  0.0382  0.0290  0.02
Neighaus 1950   36  0.5859  0.0034  0.0628  0.1869  0.0342  0.07
Niedzielski 1931   65  0.4317  0.0181  0.0272  0.0281  0.0284  0.02
Ohlsson 1999   33  0.5933  0.0056  0.0454  0.0466  0.0369  0.03
Osinska 1989   3  0.736  0.062  0.116  0.4414  0.386  0.41
Pachmann 1927   73  0.3920  0.0139  0.0541  0.1045  0.1032  0.10
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   56  0.5056  0.0058  0.0359  0.0381  0.0361  0.03
Pierdomenico 2008   52  0.5258  0.0068  0.0279  0.0280  0.0382  0.02
Poblocka 1999   1  0.751  0.121  0.124  0.4918  0.412  0.45
Rabcewiczowa 1932   15  0.6531  0.0019  0.089  0.4024  0.339  0.36
Rachmaninoff 1923   79  0.3348  0.0082  0.0362  0.0384  0.0365  0.03
Rangell 2001   18  0.6428  0.0120  0.0723  0.2447  0.0729  0.13
Richter 1976   53  0.5151  0.0070  0.0273  0.0234  0.1350  0.05
Rosen 1989   29  0.6037  0.0016  0.0722  0.2630  0.2814  0.27
Rosenthal 1930   45  0.5571  0.0044  0.0444  0.0849  0.0545  0.06
Rosenthal 1931   76  0.3881  0.0046  0.0548  0.0566  0.0355  0.04
Rosenthal 1931b   77  0.3768  0.0078  0.0358  0.0377  0.0377  0.03
Rosenthal 1931c   28  0.605  0.0626  0.0729  0.1834  0.1922  0.18
Rosenthal 1931d   61  0.4582  0.0077  0.0371  0.0368  0.0375  0.03
Rossi 2007   82  0.2854  0.0074  0.0274  0.0248  0.0464  0.03
Rubinstein 1939   85  0.2083  0.0090  0.0190  0.0176  0.0383  0.02
Rubinstein 1952   48  0.5564  0.0075  0.0277  0.0255  0.0678  0.03
Rubinstein 1966   42  0.5688  0.0063  0.0361  0.0359  0.0556  0.04
Schilhawsky 1960   30  0.6012  0.0325  0.0721  0.2643  0.1024  0.16
Shebanova 2002   31  0.608  0.0412  0.0830  0.1741  0.1227  0.14
Smith 1975   5  0.704  0.083  0.141  0.5540  0.1612  0.30
Sokolov 2002   46  0.5575  0.0073  0.0366  0.0379  0.0363  0.03
Sztompka 1959   10  0.689  0.047  0.103  0.4914  0.441  0.46
Tomsic 1995   34  0.5957  0.0049  0.0449  0.0448  0.0554  0.04
Uninsky 1932   51  0.5245  0.0033  0.0532  0.1541  0.1526  0.15
Uninsky 1971   24  0.6140  0.0031  0.0627  0.2238  0.2118  0.21
Wasowski 1980   55  0.5155  0.0071  0.0275  0.0283  0.0380  0.02
Zak 1937   74  0.3986  0.0087  0.0286  0.0287  0.0386  0.02
Zak 1951   75  0.3889  0.0086  0.0282  0.0279  0.0387  0.02
Average   2  0.7441  0.0010  0.127  0.4460  0.0428  0.13
Random 1   91  -0.1474  0.0091  0.0191  0.0154  0.0491  0.02
Random 2   89  0.0923  0.0188  0.0289  0.027  0.4535  0.09
Random 3   90  0.0977  0.0089  0.0288  0.0225  0.2341  0.07

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).