Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.2772  0.0049  0.0747  0.0778  0.0354  0.05
Anderszewski 2003   71  0.1625  0.0073  0.0378  0.0386  0.0287  0.02
Ashkenazy 1981   5  0.373  0.153  0.251  0.7026  0.392  0.52
Bacha 2000   75  0.1520  0.0163  0.0661  0.0674  0.0357  0.04
Badura 1965   54  0.2344  0.0052  0.0565  0.0583  0.0366  0.04
Barbosa 1983   68  0.1949  0.0065  0.0748  0.0783  0.0264  0.04
Biret 1990   40  0.277  0.036  0.1618  0.4252  0.0618  0.16
Blet 2003   1  0.412  0.162  0.212  0.6911  0.521  0.60
Block 1995   46  0.2573  0.0051  0.0660  0.0673  0.0455  0.05
Blumental 1952   59  0.2248  0.0061  0.0652  0.0682  0.0368  0.04
Boshniakovich 1969   11  0.3434  0.0025  0.1021  0.4066  0.0527  0.14
Brailowsky 1960   78  0.1486  0.0080  0.0382  0.0381  0.0371  0.03
Bunin 1987   52  0.2369  0.0054  0.0663  0.0671  0.0369  0.04
Bunin 1987b   51  0.2432  0.0055  0.0746  0.0775  0.0351  0.05
Chiu 1999   26  0.308  0.0314  0.1016  0.4338  0.1511  0.25
Cohen 1997   76  0.1574  0.0083  0.0386  0.0385  0.0380  0.03
Cortot 1951   80  0.1478  0.0081  0.0374  0.0378  0.0289  0.02
Csalog 1996   19  0.3224  0.0015  0.0814  0.4445  0.0914  0.20
Czerny 1949   82  0.1354  0.0079  0.0471  0.0479  0.0374  0.03
Czerny 1990   60  0.2287  0.0060  0.0662  0.0667  0.0456  0.05
Duchoud 2007   53  0.2333  0.0035  0.0634  0.2545  0.0826  0.14
Ezaki 2006   83  0.1290  0.0085  0.0381  0.0386  0.0285  0.02
Falvay 1989   66  0.2046  0.0032  0.0642  0.1685  0.0244  0.06
Farrell 1958   74  0.1577  0.0071  0.0472  0.0488  0.0272  0.03
Ferenczy 1958   87  0.0389  0.0088  0.0289  0.0288  0.0288  0.02
Fliere 1977   4  0.389  0.037  0.108  0.5774  0.0419  0.15
Fou 1978   58  0.2262  0.0066  0.0655  0.0683  0.0361  0.04
Francois 1956   45  0.2626  0.0043  0.0643  0.1549  0.0541  0.09
Friedman 1923   37  0.2813  0.0217  0.0939  0.1740  0.1322  0.15
Friedman 1923b   15  0.335  0.0716  0.0824  0.3838  0.238  0.30
Friedman 1930   20  0.3141  0.0028  0.0925  0.3740  0.1313  0.22
Garcia 2007   56  0.2343  0.0059  0.0569  0.0572  0.0465  0.04
Garcia 2007b   29  0.306  0.0510  0.0923  0.3838  0.1412  0.23
Gierzod 1998   72  0.1684  0.0070  0.0473  0.0483  0.0376  0.03
Gornostaeva 1994   57  0.2245  0.0044  0.0644  0.1184  0.0347  0.06
Groot 1988   9  0.3522  0.0020  0.0817  0.4277  0.0429  0.13
Harasiewicz 1955   16  0.3321  0.0126  0.0926  0.3777  0.0431  0.12
Hatto 1993   34  0.2963  0.0036  0.0731  0.2767  0.0438  0.10
Hatto 1997   64  0.2175  0.0064  0.0751  0.0757  0.0546  0.06
Horowitz 1949   36  0.2856  0.0046  0.0564  0.0548  0.0652  0.05
Indjic 1988   31  0.2982  0.0030  0.1019  0.4269  0.0524  0.14
Kapell 1951   43  0.2738  0.0033  0.0637  0.2174  0.0440  0.09
Kissin 1993   44  0.2652  0.0039  0.0738  0.1851  0.0737  0.11
Kushner 1989   10  0.341  0.191  0.186  0.5857  0.0516  0.17
Luisada 1991   3  0.394  0.084  0.163  0.6732  0.245  0.40
Lushtak 2004   84  0.1188  0.0084  0.0379  0.0384  0.0378  0.03
Malcuzynski 1961   39  0.2767  0.0048  0.0658  0.0682  0.0362  0.04
Magaloff 1978   14  0.3311  0.0213  0.0911  0.4740  0.1410  0.26
Magin 1975   2  0.4112  0.025  0.174  0.6338  0.236  0.38
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   55  0.2316  0.0112  0.1129  0.3270  0.0434  0.11
Mohovich 1999   77  0.1464  0.0077  0.0470  0.0483  0.0379  0.03
Moravec 1969   47  0.2531  0.0050  0.0845  0.0881  0.0348  0.05
Morozova 2008   35  0.2910  0.0311  0.1012  0.4751  0.0520  0.15
Neighaus 1950   32  0.2928  0.0040  0.0840  0.1773  0.0343  0.07
Niedzielski 1931   38  0.2853  0.0047  0.0749  0.0761  0.0545  0.06
Ohlsson 1999   24  0.3065  0.0037  0.0832  0.2656  0.0536  0.11
Osinska 1989   18  0.3237  0.0031  0.0730  0.3172  0.0433  0.11
Pachmann 1927   12  0.3417  0.0118  0.0822  0.4025  0.377  0.38
Paderewski 1930   6  0.3715  0.0123  0.0713  0.4423  0.454  0.44
Perlemuter 1992   17  0.3319  0.0124  0.0833  0.2642  0.1315  0.18
Pierdomenico 2008   23  0.3140  0.0038  0.0736  0.2160  0.0439  0.09
Poblocka 1999   50  0.2457  0.0057  0.0750  0.0784  0.0349  0.05
Rabcewiczowa 1932   67  0.2036  0.0069  0.0566  0.0584  0.0360  0.04
Rachmaninoff 1923   41  0.2759  0.0042  0.0841  0.1671  0.0442  0.08
Rangell 2001   79  0.1450  0.0072  0.0376  0.0373  0.0381  0.03
Richter 1976   7  0.3514  0.019  0.097  0.5743  0.159  0.29
Rosen 1989   27  0.3039  0.0045  0.0653  0.0676  0.0367  0.04
Rosenthal 1930   69  0.1960  0.0074  0.0384  0.0376  0.0477  0.03
Rosenthal 1931   86  0.0883  0.0086  0.0287  0.0285  0.0286  0.02
Rosenthal 1931b   85  0.1080  0.0082  0.0375  0.0378  0.0383  0.03
Rosenthal 1931c   73  0.1666  0.0076  0.0380  0.0376  0.0384  0.03
Rosenthal 1931d   81  0.1370  0.0078  0.0377  0.0376  0.0382  0.03
Rossi 2007   63  0.2135  0.0067  0.0654  0.0666  0.0450  0.05
Rubinstein 1939   62  0.2118  0.0158  0.0657  0.0679  0.0359  0.04
Rubinstein 1952   48  0.2581  0.0056  0.0568  0.0583  0.0370  0.04
Rubinstein 1966   65  0.2085  0.0068  0.0659  0.0668  0.0453  0.05
Schilhawsky 1960   8  0.3527  0.008  0.105  0.6023  0.353  0.46
Shebanova 2002   30  0.2958  0.0019  0.0827  0.3664  0.0621  0.15
Smith 1975   61  0.2230  0.0062  0.0656  0.0678  0.0358  0.04
Sokolov 2002   25  0.3042  0.0022  0.0820  0.4260  0.0523  0.14
Sztompka 1959   22  0.3151  0.0034  0.0728  0.3371  0.0435  0.11
Tomsic 1995   70  0.1779  0.0075  0.0383  0.0376  0.0473  0.03
Uninsky 1932   13  0.3447  0.0021  0.0710  0.4868  0.0425  0.14
Uninsky 1971   49  0.2429  0.0053  0.0567  0.0582  0.0363  0.04
Wasowski 1980   21  0.3155  0.0041  0.0735  0.2249  0.0632  0.11
Zak 1937   28  0.3061  0.0027  0.099  0.5063  0.0517  0.16
Zak 1951   33  0.2923  0.0029  0.0915  0.4364  0.0428  0.13
Random 1   88  0.0076  0.0087  0.0385  0.0312  0.4630  0.12
Random 2   89  -0.0171  0.0089  0.0288  0.0256  0.0575  0.03
Random 3   90  -0.0668  0.0090  0.0190  0.0186  0.0290  0.01

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).