Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.1964  0.0063  0.0659  0.0655  0.0565  0.05
Anderszewski 2003   68  0.1856  0.0071  0.0477  0.0473  0.0470  0.04
Ashkenazy 1981   4  0.504  0.102  0.292  0.7320  0.663  0.69
Bacha 2000   70  0.178  0.0349  0.0753  0.0744  0.1253  0.09
Badura 1965   58  0.2348  0.0066  0.0660  0.0658  0.0466  0.05
Barbosa 1983   57  0.2537  0.0054  0.0657  0.0655  0.0563  0.05
Biret 1990   53  0.2884  0.0056  0.0658  0.0631  0.4542  0.16
Blet 2003   12  0.4649  0.0017  0.1117  0.4715  0.599  0.53
Block 1995   13  0.4617  0.0118  0.1316  0.5027  0.4419  0.47
Blumental 1952   54  0.2632  0.0059  0.0751  0.0738  0.1751  0.11
Boshniakovich 1969   36  0.3657  0.0045  0.0749  0.0740  0.1652  0.11
Brailowsky 1960   75  0.1424  0.0067  0.0668  0.0672  0.0461  0.05
Bunin 1987   42  0.3433  0.0042  0.0641  0.2035  0.2838  0.24
Bunin 1987b   41  0.3435  0.0043  0.0842  0.2035  0.2740  0.23
Chiu 1999   11  0.461  0.331  0.331  0.7511  0.672  0.71
Cohen 1997   71  0.1765  0.0078  0.0382  0.0373  0.0382  0.03
Cortot 1951   77  0.1485  0.0079  0.0381  0.0382  0.0288  0.02
Csalog 1996   2  0.506  0.044  0.203  0.722  0.771  0.74
Czerny 1949   85  0.0073  0.0086  0.0287  0.0274  0.0477  0.03
Czerny 1990   55  0.2660  0.0055  0.0667  0.0652  0.0758  0.06
Duchoud 2007   34  0.3755  0.0021  0.0920  0.4721  0.4620  0.46
Ezaki 2006   84  0.0279  0.0085  0.0288  0.0289  0.0286  0.02
Falvay 1989   64  0.2121  0.0036  0.0943  0.1842  0.1343  0.15
Farrell 1958   78  0.1274  0.0072  0.0472  0.0479  0.0375  0.03
Ferenczy 1958   88  -0.0166  0.0087  0.0286  0.0273  0.0476  0.03
Fliere 1977   5  0.5013  0.0114  0.0813  0.5338  0.4317  0.48
Fou 1978   59  0.2386  0.0061  0.0755  0.0785  0.0362  0.05
Francois 1956   60  0.2336  0.0068  0.0569  0.0546  0.0760  0.06
Friedman 1923   9  0.4623  0.009  0.1415  0.5030  0.4916  0.49
Friedman 1923b   6  0.482  0.126  0.1514  0.5129  0.5112  0.51
Friedman 1930   26  0.4231  0.0027  0.1021  0.4632  0.4424  0.45
Garcia 2007   40  0.3461  0.0046  0.0848  0.0843  0.1650  0.11
Garcia 2007b   19  0.443  0.103  0.198  0.607  0.714  0.65
Gierzod 1998   81  0.0767  0.0075  0.0474  0.0474  0.0378  0.03
Gornostaeva 1994   63  0.2234  0.0064  0.0663  0.0657  0.0568  0.05
Groot 1988   1  0.527  0.037  0.156  0.6412  0.547  0.59
Harasiewicz 1955   20  0.445  0.0416  0.1011  0.5424  0.3825  0.45
Hatto 1993   10  0.4662  0.0012  0.165  0.6622  0.508  0.57
Hatto 1997   50  0.2940  0.0047  0.0847  0.0835  0.2145  0.13
Horowitz 1949   22  0.4353  0.0022  0.1018  0.4723  0.5414  0.50
Indjic 1988   16  0.4529  0.0010  0.134  0.6720  0.566  0.61
Kapell 1951   31  0.3919  0.0133  0.0831  0.3629  0.2835  0.32
Kissin 1993   48  0.3158  0.0053  0.0664  0.0662  0.0657  0.06
Kushner 1989   37  0.3615  0.0113  0.1326  0.4120  0.4627  0.43
Luisada 1991   3  0.509  0.035  0.147  0.6013  0.635  0.61
Lushtak 2004   80  0.0880  0.0083  0.0478  0.0483  0.0280  0.03
Malcuzynski 1961   47  0.3275  0.0050  0.0756  0.0748  0.0755  0.07
Magaloff 1978   23  0.4325  0.0023  0.0729  0.3929  0.3832  0.38
Magin 1975   15  0.4511  0.0219  0.0822  0.4522  0.5613  0.50
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   72  0.1612  0.0158  0.0750  0.0739  0.2247  0.12
Mohovich 1999   65  0.1941  0.0069  0.0752  0.0773  0.0367  0.05
Moravec 1969   43  0.3450  0.0041  0.0940  0.2231  0.2539  0.23
Morozova 2008   52  0.2938  0.0037  0.0938  0.2845  0.0744  0.14
Neighaus 1950   35  0.3768  0.0040  0.1039  0.2555  0.0648  0.12
Niedzielski 1931   21  0.4342  0.0026  0.0924  0.4226  0.3630  0.39
Ohlsson 1999   25  0.4246  0.0024  0.0828  0.4033  0.2236  0.30
Osinska 1989   28  0.4014  0.0131  0.0833  0.3526  0.4728  0.41
Pachmann 1927   18  0.4522  0.0020  0.0923  0.4327  0.4822  0.45
Paderewski 1930   27  0.4126  0.0039  0.0937  0.2827  0.4333  0.35
Perlemuter 1992   24  0.4228  0.0035  0.1025  0.4130  0.4921  0.45
Pierdomenico 2008   45  0.3276  0.0051  0.0754  0.0751  0.0656  0.06
Poblocka 1999   32  0.3877  0.0029  0.0930  0.3831  0.3034  0.34
Rabcewiczowa 1932   74  0.1581  0.0080  0.0476  0.0472  0.0374  0.03
Rachmaninoff 1923   44  0.3378  0.0044  0.0844  0.1633  0.2841  0.21
Rangell 2001   76  0.1447  0.0077  0.0571  0.0579  0.0372  0.04
Richter 1976   17  0.4520  0.0025  0.1019  0.4734  0.5215  0.49
Rosen 1989   46  0.3269  0.0052  0.0665  0.0676  0.0371  0.04
Rosenthal 1930   67  0.1983  0.0073  0.0480  0.0477  0.0379  0.03
Rosenthal 1931   86  0.0087  0.0084  0.0384  0.0380  0.0287  0.02
Rosenthal 1931b   83  0.0388  0.0081  0.0479  0.0477  0.0384  0.03
Rosenthal 1931c   79  0.1270  0.0074  0.0475  0.0470  0.0385  0.03
Rosenthal 1931d   82  0.0589  0.0076  0.0473  0.0477  0.0383  0.03
Rossi 2007   69  0.1743  0.0070  0.0666  0.0627  0.2546  0.12
Rubinstein 1939   56  0.2530  0.0057  0.0662  0.0650  0.0854  0.07
Rubinstein 1952   51  0.2944  0.0060  0.0846  0.0860  0.0559  0.06
Rubinstein 1966   61  0.2371  0.0062  0.0661  0.0663  0.0564  0.05
Schilhawsky 1960   33  0.3818  0.0132  0.0835  0.338  0.6223  0.45
Shebanova 2002   8  0.4716  0.018  0.1710  0.5833  0.4611  0.52
Smith 1975   73  0.1551  0.0082  0.0383  0.0379  0.0373  0.03
Sokolov 2002   29  0.4039  0.0034  0.0934  0.3411  0.5526  0.43
Sztompka 1959   30  0.3972  0.0028  0.0927  0.4042  0.1537  0.24
Tomsic 1995   62  0.2363  0.0065  0.0570  0.0583  0.0369  0.04
Uninsky 1932   14  0.4510  0.0311  0.149  0.5928  0.3918  0.48
Uninsky 1971   49  0.3127  0.0048  0.1045  0.1044  0.1249  0.11
Wasowski 1980   7  0.4854  0.0015  0.1112  0.5326  0.5210  0.52
Zak 1937   38  0.3645  0.0030  0.0832  0.3521  0.4629  0.40
Zak 1951   39  0.3552  0.0038  0.0936  0.3119  0.4931  0.39
Random 1   87  0.0082  0.0088  0.0385  0.0365  0.0381  0.03
Random 2   90  -0.1290  0.0090  0.0190  0.0189  0.0189  0.01
Random 3   89  -0.0759  0.0089  0.0189  0.0171  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).