Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.6416  0.016  0.107  0.4618  0.3916  0.42
Anderszewski 2003   63  0.4375  0.0053  0.0561  0.0536  0.2048  0.10
Ashkenazy 1981   26  0.5529  0.0022  0.0918  0.4140  0.1431  0.24
Bacha 2000   79  0.3383  0.0081  0.0480  0.0451  0.0663  0.05
Badura 1965   56  0.4561  0.0046  0.0560  0.0517  0.3940  0.14
Barbosa 1983   4  0.623  0.072  0.272  0.672  0.641  0.65
Biret 1990   40  0.5058  0.0051  0.0554  0.0543  0.1552  0.09
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   66  0.4317  0.0154  0.0553  0.0542  0.1160  0.07
Blumental 1952   74  0.3619  0.0070  0.0474  0.0456  0.0477  0.04
Boshniakovich 1969   44  0.4840  0.0056  0.0475  0.0438  0.1755  0.08
Brailowsky 1960   76  0.3688  0.0082  0.0382  0.0375  0.0479  0.03
Bunin 1987   11  0.5948  0.0016  0.0810  0.4611  0.467  0.46
Bunin 1987b   12  0.5931  0.0017  0.1111  0.4611  0.465  0.46
Chiu 1999   36  0.5346  0.0037  0.0635  0.2331  0.3326  0.28
Cohen 1997   88  0.1876  0.0088  0.0383  0.0384  0.0289  0.02
Cortot 1951   60  0.4459  0.0052  0.0566  0.0541  0.1456  0.08
Csalog 1996   59  0.4427  0.0075  0.0650  0.0643  0.1350  0.09
Czerny 1949   58  0.4577  0.0059  0.0558  0.0548  0.0762  0.06
Czerny 1990   6  0.6167  0.0015  0.0819  0.4021  0.3124  0.35
Duchoud 2007   19  0.5730  0.0014  0.088  0.4615  0.476  0.46
Ezaki 2006   29  0.5472  0.0042  0.0738  0.1753  0.0549  0.09
Falvay 1989   43  0.4889  0.0071  0.0555  0.0558  0.0565  0.05
Farrell 1958   53  0.4623  0.0068  0.0472  0.0441  0.1654  0.08
Ferenczy 1958   61  0.4484  0.0067  0.0470  0.0424  0.3146  0.11
Fliere 1977   2  0.6642  0.003  0.183  0.6312  0.562  0.59
Fou 1978   37  0.5135  0.0049  0.0551  0.0557  0.0568  0.05
Francois 1956   41  0.4957  0.0050  0.0648  0.0652  0.0570  0.05
Friedman 1923   80  0.3370  0.0061  0.0557  0.0512  0.4439  0.15
Friedman 1923b   78  0.3412  0.0160  0.0562  0.0515  0.4538  0.15
Friedman 1930   72  0.388  0.0233  0.0739  0.1622  0.4029  0.25
Garcia 2007   83  0.2662  0.0079  0.0478  0.0441  0.1359  0.07
Garcia 2007b   81  0.2811  0.0169  0.0469  0.0411  0.4441  0.13
Gierzod 1998   71  0.3849  0.0064  0.0381  0.0370  0.0382  0.03
Gornostaeva 1994   46  0.4815  0.0126  0.0642  0.1362  0.0461  0.07
Groot 1988   15  0.589  0.0134  0.0629  0.3042  0.1535  0.21
Harasiewicz 1955   49  0.4743  0.0024  0.0730  0.2949  0.0447  0.11
Hatto 1993   50  0.4733  0.0028  0.0622  0.3614  0.4121  0.38
Hatto 1997   42  0.4920  0.0030  0.0925  0.3419  0.4320  0.38
Horowitz 1949   64  0.4336  0.0072  0.0563  0.0558  0.0474  0.04
Indjic 1988   45  0.4864  0.0029  0.1021  0.3714  0.3919  0.38
Kapell 1951   8  0.6026  0.0013  0.076  0.4721  0.449  0.45
Kissin 1993   31  0.5418  0.0045  0.0545  0.0947  0.0658  0.07
Kushner 1989   39  0.5085  0.0062  0.0649  0.0657  0.0469  0.05
Luisada 1991   9  0.594  0.047  0.1115  0.4316  0.4310  0.43
Lushtak 2004   25  0.5565  0.0018  0.1114  0.4322  0.4018  0.41
Malcuzynski 1961   28  0.5414  0.0144  0.0543  0.1163  0.0457  0.07
Magaloff 1978   65  0.4386  0.0055  0.0559  0.0555  0.0472  0.04
Magin 1975   52  0.4622  0.0058  0.0556  0.0544  0.1253  0.08
Michalowski 1933   69  0.3847  0.0031  0.0928  0.3019  0.4123  0.35
Milkina 1970   67  0.4232  0.0076  0.0468  0.0465  0.0473  0.04
Mohovich 1999   27  0.5482  0.0041  0.0741  0.1549  0.0551  0.09
Moravec 1969   51  0.4766  0.0066  0.0476  0.0458  0.0471  0.04
Morozova 2008   22  0.5639  0.0032  0.0926  0.3050  0.0543  0.12
Neighaus 1950   10  0.5934  0.005  0.114  0.5519  0.463  0.50
Niedzielski 1931   68  0.4038  0.0073  0.0564  0.0546  0.0666  0.05
Ohlsson 1999   23  0.5552  0.0040  0.0736  0.2247  0.0645  0.11
Osinska 1989   54  0.4690  0.0063  0.0647  0.0678  0.0464  0.05
Pachmann 1927   55  0.4578  0.0057  0.0567  0.0531  0.2544  0.11
Paderewski 1930   24  0.556  0.0311  0.0812  0.446  0.544  0.49
Perlemuter 1992   14  0.5910  0.0120  0.0820  0.4017  0.4611  0.43
Pierdomenico 2008   73  0.3737  0.0077  0.0479  0.0467  0.0380  0.03
Poblocka 1999   7  0.6041  0.009  0.089  0.4610  0.448  0.45
Rabcewiczowa 1932   70  0.3887  0.0065  0.0477  0.0446  0.0667  0.05
Rachmaninoff 1923   48  0.4728  0.0043  0.0544  0.1038  0.1542  0.12
Rangell 2001   57  0.455  0.0312  0.0737  0.2120  0.3328  0.26
Richter 1976   34  0.537  0.0235  0.0740  0.1639  0.1536  0.15
Rosen 1989   47  0.4879  0.0048  0.0552  0.0562  0.0476  0.04
Rosenthal 1930   75  0.3668  0.0080  0.0565  0.0555  0.0475  0.04
Rosenthal 1931   85  0.2391  0.0085  0.0285  0.0278  0.0386  0.02
Rosenthal 1931b   86  0.2173  0.0086  0.0287  0.0284  0.0291  0.02
Rosenthal 1931c   77  0.3571  0.0078  0.0471  0.0475  0.0384  0.03
Rosenthal 1931d   84  0.2480  0.0084  0.0288  0.0282  0.0290  0.02
Rossi 2007   87  0.1955  0.0087  0.0284  0.0282  0.0285  0.02
Rubinstein 1939   82  0.2850  0.0083  0.0286  0.0256  0.0481  0.03
Rubinstein 1952   62  0.4460  0.0074  0.0473  0.0466  0.0478  0.04
Rubinstein 1966   33  0.5369  0.0047  0.0746  0.0728  0.3237  0.15
Schilhawsky 1960   32  0.5324  0.0025  0.0624  0.3521  0.3722  0.36
Shebanova 2002   21  0.5625  0.0027  0.0527  0.3037  0.2527  0.27
Smith 1975   17  0.5856  0.0010  0.075  0.4923  0.3417  0.41
Sokolov 2002   20  0.5674  0.0039  0.0933  0.2542  0.1734  0.21
Sztompka 1959   5  0.6163  0.008  0.0917  0.4219  0.4314  0.42
Tomsic 1995   13  0.5944  0.0023  0.0923  0.3540  0.1730  0.24
Uninsky 1932   18  0.5713  0.0119  0.1013  0.4416  0.4015  0.42
Uninsky 1971   16  0.5851  0.0021  0.1016  0.4220  0.4412  0.43
Wasowski 1980   38  0.502  0.084  0.1131  0.2813  0.4025  0.33
Zak 1937   30  0.5421  0.0038  0.0834  0.2437  0.2232  0.23
Zak 1951   35  0.5345  0.0036  0.0532  0.2538  0.2133  0.23
Average   1  0.721  0.551  0.551  0.7532  0.2513  0.43
Random 1   90  0.0054  0.0091  0.0191  0.0145  0.0783  0.03
Random 2   91  -0.0453  0.0089  0.0189  0.0152  0.0587  0.02
Random 3   89  0.0281  0.0090  0.0190  0.0167  0.0388  0.02

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).