Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.2770  0.0050  0.0748  0.0779  0.0355  0.05
Anderszewski 2003   72  0.1625  0.0074  0.0379  0.0387  0.0287  0.02
Ashkenazy 1981   6  0.374  0.044  0.252  0.7027  0.392  0.52
Bacha 2000   76  0.1517  0.0164  0.0562  0.0575  0.0356  0.04
Badura 1965   55  0.2344  0.0053  0.0566  0.0584  0.0365  0.04
Barbosa 1983   69  0.1949  0.0066  0.0749  0.0784  0.0263  0.04
Biret 1990   41  0.277  0.037  0.1519  0.4253  0.0619  0.16
Blet 2003   2  0.413  0.083  0.213  0.6912  0.521  0.60
Block 1995   47  0.2587  0.0052  0.0661  0.0674  0.0366  0.04
Blumental 1952   60  0.2248  0.0062  0.0653  0.0683  0.0368  0.04
Boshniakovich 1969   12  0.3435  0.0026  0.1022  0.4067  0.0527  0.14
Brailowsky 1960   79  0.1486  0.0081  0.0383  0.0382  0.0372  0.03
Bunin 1987   53  0.2371  0.0055  0.0564  0.0572  0.0369  0.04
Bunin 1987b   52  0.2431  0.0056  0.0747  0.0776  0.0351  0.05
Chiu 1999   27  0.3052  0.0015  0.1017  0.4339  0.1511  0.25
Cohen 1997   77  0.1577  0.0084  0.0387  0.0386  0.0289  0.02
Cortot 1951   81  0.1478  0.0082  0.0375  0.0379  0.0290  0.02
Csalog 1996   20  0.3233  0.0016  0.0815  0.4446  0.0914  0.20
Czerny 1949   83  0.1355  0.0080  0.0472  0.0480  0.0375  0.03
Czerny 1990   61  0.2288  0.0061  0.0563  0.0568  0.0470  0.04
Duchoud 2007   54  0.2332  0.0036  0.0635  0.2546  0.0826  0.14
Ezaki 2006   84  0.1291  0.0086  0.0382  0.0387  0.0285  0.02
Falvay 1989   67  0.2046  0.0033  0.0643  0.1686  0.0245  0.06
Farrell 1958   75  0.1575  0.0072  0.0473  0.0489  0.0273  0.03
Ferenczy 1958   88  0.0390  0.0089  0.0290  0.0289  0.0288  0.02
Fliere 1977   5  0.3811  0.028  0.109  0.5775  0.0420  0.15
Fou 1978   59  0.2276  0.0067  0.0656  0.0684  0.0360  0.04
Francois 1956   46  0.2624  0.0044  0.0644  0.1550  0.0542  0.09
Friedman 1923   38  0.2814  0.0118  0.0940  0.1741  0.1323  0.15
Friedman 1923b   16  0.335  0.0417  0.0825  0.3839  0.238  0.30
Friedman 1930   21  0.3141  0.0029  0.0826  0.3741  0.1313  0.22
Garcia 2007   57  0.2343  0.0060  0.0570  0.0573  0.0464  0.04
Garcia 2007b   30  0.306  0.0311  0.0924  0.3839  0.1412  0.23
Gierzod 1998   73  0.1684  0.0071  0.0374  0.0384  0.0377  0.03
Gornostaeva 1994   58  0.2245  0.0045  0.0545  0.1185  0.0346  0.06
Groot 1988   10  0.3522  0.0021  0.0818  0.4278  0.0430  0.13
Harasiewicz 1955   17  0.3321  0.0027  0.0927  0.3778  0.0432  0.12
Hatto 1993   35  0.2961  0.0037  0.0732  0.2768  0.0439  0.10
Hatto 1997   65  0.2172  0.0065  0.0652  0.0658  0.0554  0.05
Horowitz 1949   37  0.2858  0.0047  0.0565  0.0549  0.0652  0.05
Indjic 1988   32  0.2982  0.0031  0.1020  0.4270  0.0524  0.14
Kapell 1951   44  0.2738  0.0034  0.0638  0.2175  0.0441  0.09
Kissin 1993   45  0.2654  0.0040  0.0739  0.1852  0.0738  0.11
Kushner 1989   11  0.342  0.152  0.187  0.5858  0.0516  0.17
Luisada 1991   4  0.399  0.025  0.164  0.6733  0.245  0.40
Lushtak 2004   85  0.1189  0.0085  0.0380  0.0385  0.0379  0.03
Malcuzynski 1961   40  0.2765  0.0049  0.0659  0.0683  0.0361  0.04
Magaloff 1978   15  0.3310  0.0214  0.0912  0.4741  0.1410  0.26
Magin 1975   3  0.4112  0.016  0.165  0.6339  0.236  0.38
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   56  0.2315  0.0113  0.1030  0.3271  0.0435  0.11
Mohovich 1999   78  0.1462  0.0078  0.0471  0.0484  0.0380  0.03
Moravec 1969   48  0.2529  0.0051  0.0846  0.0882  0.0347  0.05
Morozova 2008   36  0.298  0.0212  0.1013  0.4752  0.0521  0.15
Neighaus 1950   33  0.2926  0.0041  0.0841  0.1774  0.0344  0.07
Niedzielski 1931   39  0.2853  0.0048  0.0750  0.0762  0.0450  0.05
Ohlsson 1999   25  0.3068  0.0038  0.0833  0.2657  0.0537  0.11
Osinska 1989   19  0.3237  0.0032  0.0631  0.3173  0.0434  0.11
Pachmann 1927   13  0.3419  0.0119  0.0823  0.4026  0.377  0.38
Paderewski 1930   7  0.3716  0.0124  0.0714  0.4424  0.454  0.44
Perlemuter 1992   18  0.3320  0.0025  0.0734  0.2643  0.1315  0.18
Pierdomenico 2008   24  0.3140  0.0039  0.0737  0.2161  0.0440  0.09
Poblocka 1999   51  0.2457  0.0058  0.0751  0.0785  0.0348  0.05
Rabcewiczowa 1932   68  0.2036  0.0070  0.0567  0.0585  0.0359  0.04
Rachmaninoff 1923   42  0.2760  0.0043  0.0842  0.1672  0.0443  0.08
Rangell 2001   80  0.1450  0.0073  0.0377  0.0374  0.0381  0.03
Richter 1976   8  0.3513  0.0110  0.098  0.5744  0.159  0.29
Rosen 1989   28  0.3039  0.0046  0.0654  0.0677  0.0367  0.04
Rosenthal 1930   70  0.1973  0.0075  0.0385  0.0377  0.0478  0.03
Rosenthal 1931   87  0.0883  0.0087  0.0288  0.0286  0.0286  0.02
Rosenthal 1931b   86  0.1080  0.0083  0.0376  0.0379  0.0383  0.03
Rosenthal 1931c   74  0.1664  0.0077  0.0381  0.0377  0.0384  0.03
Rosenthal 1931d   82  0.1367  0.0079  0.0378  0.0377  0.0382  0.03
Rossi 2007   64  0.2134  0.0068  0.0655  0.0667  0.0449  0.05
Rubinstein 1939   63  0.2118  0.0159  0.0658  0.0680  0.0358  0.04
Rubinstein 1952   49  0.2581  0.0057  0.0569  0.0584  0.0371  0.04
Rubinstein 1966   66  0.2085  0.0069  0.0660  0.0669  0.0453  0.05
Schilhawsky 1960   9  0.3530  0.009  0.106  0.6024  0.353  0.46
Shebanova 2002   31  0.2959  0.0020  0.0728  0.3665  0.0622  0.15
Smith 1975   62  0.2228  0.0063  0.0657  0.0679  0.0357  0.04
Sokolov 2002   26  0.3042  0.0023  0.0821  0.4261  0.0428  0.13
Sztompka 1959   23  0.3151  0.0035  0.0629  0.3372  0.0436  0.11
Tomsic 1995   71  0.1779  0.0076  0.0384  0.0377  0.0474  0.03
Uninsky 1932   14  0.3447  0.0022  0.0711  0.4869  0.0425  0.14
Uninsky 1971   50  0.2427  0.0054  0.0568  0.0583  0.0362  0.04
Wasowski 1980   22  0.3156  0.0042  0.0736  0.2250  0.0633  0.11
Zak 1937   29  0.3063  0.0028  0.0810  0.5064  0.0517  0.16
Zak 1951   34  0.2923  0.0030  0.0916  0.4365  0.0429  0.13
Average   1  0.461  0.401  0.401  0.8283  0.0318  0.16
Random 1   89  0.0074  0.0088  0.0386  0.0312  0.4731  0.12
Random 2   90  -0.0169  0.0090  0.0289  0.0256  0.0576  0.03
Random 3   91  -0.0666  0.0091  0.0191  0.0184  0.0291  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).