Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.2456  0.0059  0.0472  0.0475  0.0377  0.03
Anderszewski 2003   72  0.1865  0.0056  0.0558  0.0582  0.0362  0.04
Ashkenazy 1981   10  0.383  0.094  0.158  0.6337  0.2311  0.38
Bacha 2000   41  0.264  0.0416  0.0936  0.3229  0.2718  0.29
Badura 1965   65  0.1935  0.0072  0.0556  0.0564  0.0465  0.04
Barbosa 1983   57  0.2277  0.0049  0.0652  0.0673  0.0450  0.05
Biret 1990   76  0.1543  0.0077  0.0382  0.0388  0.0290  0.02
Blet 2003   15  0.3515  0.0120  0.1017  0.5435  0.2710  0.38
Block 1995   54  0.2346  0.0041  0.0743  0.2169  0.0443  0.09
Blumental 1952   69  0.1925  0.0053  0.0649  0.0681  0.0367  0.04
Boshniakovich 1969   2  0.412  0.092  0.242  0.7632  0.286  0.46
Brailowsky 1960   88  0.0087  0.0089  0.0189  0.0188  0.0291  0.01
Bunin 1987   50  0.2429  0.0052  0.0748  0.0779  0.0353  0.05
Bunin 1987b   55  0.2378  0.0054  0.0462  0.0487  0.0373  0.03
Chiu 1999   53  0.2388  0.0064  0.0381  0.0384  0.0370  0.03
Cohen 1997   73  0.1757  0.0079  0.0463  0.0484  0.0380  0.03
Cortot 1951   47  0.2430  0.0029  0.0930  0.3622  0.3912  0.37
Csalog 1996   67  0.1944  0.0070  0.0561  0.0578  0.0361  0.04
Czerny 1949   81  0.1389  0.0081  0.0468  0.0474  0.0463  0.04
Czerny 1990   42  0.2631  0.0042  0.0742  0.2176  0.0444  0.09
Duchoud 2007   75  0.1675  0.0080  0.0464  0.0470  0.0464  0.04
Ezaki 2006   86  0.0979  0.0086  0.0379  0.0388  0.0285  0.02
Falvay 1989   78  0.1569  0.0074  0.0386  0.0380  0.0371  0.03
Farrell 1958   83  0.1262  0.0075  0.0384  0.0382  0.0287  0.02
Ferenczy 1958   87  0.0545  0.0087  0.0387  0.0381  0.0375  0.03
Fliere 1977   14  0.3650  0.0018  0.1214  0.5772  0.0429  0.15
Fou 1978   51  0.2424  0.0040  0.0939  0.2868  0.0439  0.11
Francois 1956   39  0.2616  0.0133  0.0837  0.3229  0.2719  0.29
Friedman 1923   26  0.3137  0.0032  0.1326  0.4337  0.2416  0.32
Friedman 1923b   23  0.3241  0.0031  0.0925  0.4440  0.2315  0.32
Friedman 1930   20  0.3312  0.0121  0.0919  0.5332  0.2414  0.36
Garcia 2007   19  0.3321  0.0019  0.1116  0.5528  0.319  0.41
Garcia 2007b   27  0.3136  0.0024  0.0921  0.4944  0.1222  0.24
Gierzod 1998   40  0.2681  0.0043  0.0941  0.2164  0.0542  0.10
Gornostaeva 1994   63  0.2033  0.0063  0.0377  0.0387  0.0289  0.02
Groot 1988   21  0.3340  0.0025  0.0823  0.4769  0.0433  0.14
Harasiewicz 1955   30  0.3048  0.0038  0.0840  0.2656  0.0540  0.11
Hatto 1993   17  0.348  0.026  0.165  0.6655  0.0723  0.21
Hatto 1997   46  0.2560  0.0037  0.1033  0.3575  0.0438  0.12
Horowitz 1949   35  0.2726  0.0047  0.0653  0.0685  0.0360  0.04
Indjic 1988   16  0.3510  0.025  0.154  0.6844  0.1417  0.31
Kapell 1951   37  0.2767  0.0045  0.0645  0.1260  0.0545  0.08
Kissin 1993   4  0.407  0.033  0.253  0.7522  0.561  0.65
Kushner 1989   18  0.3458  0.0022  0.1018  0.5360  0.0527  0.16
Luisada 1991   31  0.3018  0.0128  0.0922  0.4868  0.0528  0.15
Lushtak 2004   66  0.1971  0.0055  0.0466  0.0477  0.0379  0.03
Malcuzynski 1961   8  0.3923  0.0011  0.126  0.6558  0.0524  0.18
Magaloff 1978   29  0.3028  0.0015  0.1215  0.5645  0.1221  0.26
Magin 1975   7  0.3911  0.0214  0.1220  0.5272  0.0432  0.14
Michalowski 1933   13  0.379  0.0223  0.1024  0.4514  0.447  0.44
Milkina 1970   74  0.1783  0.0073  0.0557  0.0585  0.0357  0.04
Mohovich 1999   70  0.1976  0.0057  0.0747  0.0777  0.0451  0.05
Moravec 1969   64  0.2073  0.0068  0.0555  0.0583  0.0354  0.04
Morozova 2008   49  0.2486  0.0065  0.0375  0.0373  0.0474  0.03
Neighaus 1950   12  0.3713  0.017  0.157  0.6422  0.415  0.51
Niedzielski 1931   22  0.3222  0.0027  0.1029  0.4153  0.0531  0.14
Ohlsson 1999   25  0.3247  0.0030  0.0932  0.3572  0.0341  0.10
Osinska 1989   56  0.2227  0.0066  0.0374  0.0383  0.0368  0.03
Pachmann 1927   3  0.406  0.0410  0.1010  0.6014  0.533  0.56
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   5  0.3920  0.0112  0.1112  0.5921  0.444  0.51
Pierdomenico 2008   9  0.385  0.049  0.1113  0.599  0.552  0.57
Poblocka 1999   84  0.1142  0.0058  0.0378  0.0381  0.0369  0.03
Rabcewiczowa 1932   71  0.1890  0.0078  0.0376  0.0379  0.0372  0.03
Rachmaninoff 1923   80  0.1354  0.0076  0.0373  0.0386  0.0286  0.02
Rangell 2001   34  0.2864  0.0034  0.0735  0.3455  0.0535  0.13
Richter 1976   6  0.3934  0.0013  0.1311  0.6039  0.2213  0.36
Rosen 1989   45  0.2551  0.0061  0.0470  0.0467  0.0466  0.04
Rosenthal 1930   77  0.1591  0.0084  0.0385  0.0379  0.0378  0.03
Rosenthal 1931   85  0.1084  0.0085  0.0383  0.0384  0.0288  0.02
Rosenthal 1931b   79  0.1466  0.0082  0.0469  0.0480  0.0382  0.03
Rosenthal 1931c   62  0.2085  0.0060  0.0471  0.0471  0.0383  0.03
Rosenthal 1931d   82  0.1272  0.0083  0.0380  0.0382  0.0381  0.03
Rossi 2007   43  0.2619  0.0144  0.0844  0.1717  0.4420  0.27
Rubinstein 1939   61  0.2082  0.0071  0.0559  0.0582  0.0355  0.04
Rubinstein 1952   38  0.2763  0.0046  0.0654  0.0688  0.0284  0.03
Rubinstein 1966   36  0.2759  0.0039  0.0734  0.3568  0.0437  0.12
Schilhawsky 1960   44  0.2653  0.0048  0.0946  0.0972  0.0447  0.06
Shebanova 2002   24  0.3255  0.0026  0.0928  0.4351  0.0725  0.17
Smith 1975   68  0.1932  0.0050  0.0651  0.0666  0.0448  0.05
Sokolov 2002   33  0.2838  0.0035  0.0838  0.2960  0.0536  0.12
Sztompka 1959   11  0.3817  0.018  0.139  0.6137  0.308  0.43
Tomsic 1995   59  0.2268  0.0069  0.0560  0.0584  0.0359  0.04
Uninsky 1932   32  0.2949  0.0036  0.1131  0.3651  0.0534  0.13
Uninsky 1971   52  0.2452  0.0051  0.0650  0.0676  0.0449  0.05
Wasowski 1980   28  0.3114  0.0117  0.0927  0.4351  0.0626  0.16
Zak 1937   60  0.2139  0.0067  0.0465  0.0458  0.0556  0.04
Zak 1951   58  0.2270  0.0062  0.0467  0.0481  0.0458  0.04
Average   1  0.451  0.431  0.431  0.8085  0.0330  0.15
Random 1   89  0.0061  0.0088  0.0288  0.0224  0.3546  0.08
Random 2   91  -0.0274  0.0091  0.0191  0.0145  0.1176  0.03
Random 3   90  -0.0180  0.0090  0.0190  0.0123  0.3052  0.05

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).