Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.781  0.201  0.191  0.598  0.466  0.52
Anderszewski 2003   27  0.696  0.045  0.1112  0.466  0.4412  0.45
Ashkenazy 1981   8  0.752  0.162  0.163  0.561  0.621  0.59
Bacha 2000   79  0.4788  0.0063  0.0462  0.0454  0.0572  0.04
Badura 1965   54  0.5964  0.0058  0.0649  0.0630  0.3643  0.15
Barbosa 1983   86  0.3641  0.0081  0.0381  0.0363  0.0487  0.03
Biret 1990   72  0.5238  0.0062  0.0463  0.0464  0.0482  0.04
Blet 2003   53  0.5982  0.0071  0.0383  0.0356  0.0578  0.04
Block 1995   55  0.5885  0.0054  0.0554  0.0522  0.2357  0.11
Blumental 1952   61  0.578  0.0341  0.0541  0.1041  0.0965  0.09
Boshniakovich 1969   9  0.7540  0.0019  0.0834  0.2029  0.3430  0.26
Brailowsky 1960   70  0.5380  0.0061  0.0378  0.0328  0.2563  0.09
Bunin 1987   74  0.5248  0.0056  0.0555  0.0518  0.4544  0.15
Bunin 1987b   73  0.5227  0.0155  0.0553  0.0518  0.4542  0.15
Chiu 1999   75  0.5119  0.0126  0.0735  0.1814  0.3333  0.24
Cohen 1997   87  0.1786  0.0087  0.0373  0.0381  0.0389  0.03
Cortot 1951   50  0.6073  0.0070  0.0375  0.0347  0.0583  0.04
Csalog 1996   82  0.4345  0.0083  0.0387  0.0361  0.0488  0.03
Czerny 1949   32  0.6818  0.027  0.0919  0.4020  0.4716  0.43
Czerny 1990   24  0.7032  0.0029  0.0821  0.3920  0.3122  0.35
Duchoud 2007   33  0.6733  0.0021  0.0622  0.352  0.6111  0.46
Ezaki 2006   15  0.7367  0.0014  0.1116  0.4212  0.4714  0.44
Falvay 1989   83  0.4281  0.0086  0.0465  0.0450  0.0869  0.06
Farrell 1958   64  0.5587  0.0059  0.0466  0.0454  0.0671  0.05
Ferenczy 1958   71  0.5357  0.0080  0.0377  0.0352  0.0580  0.04
Fliere 1977   3  0.7821  0.0112  0.129  0.5022  0.3517  0.42
Fou 1978   40  0.6517  0.0231  0.0725  0.3025  0.2727  0.28
Francois 1956   62  0.5629  0.0132  0.0638  0.1522  0.3434  0.23
Friedman 1923   42  0.6572  0.0043  0.0443  0.0832  0.3740  0.17
Friedman 1923b   41  0.6546  0.0045  0.0460  0.0432  0.3653  0.12
Friedman 1930   36  0.6658  0.0044  0.0347  0.0728  0.4039  0.17
Garcia 2007   17  0.7375  0.0037  0.0932  0.2219  0.3826  0.29
Garcia 2007b   29  0.6939  0.0039  0.0837  0.1631  0.2637  0.20
Gierzod 1998   7  0.7622  0.0111  0.108  0.5113  0.449  0.47
Gornostaeva 1994   23  0.7125  0.0125  0.0820  0.393  0.5313  0.45
Groot 1988   67  0.5556  0.0033  0.0739  0.1541  0.1841  0.16
Harasiewicz 1955   25  0.7013  0.0213  0.0814  0.4519  0.3720  0.41
Hatto 1993   49  0.6120  0.0149  0.0942  0.0936  0.2050  0.13
Hatto 1997   47  0.6147  0.0048  0.0550  0.0536  0.2060  0.10
Horowitz 1949   38  0.6683  0.0051  0.0746  0.0730  0.3938  0.17
Indjic 1988   45  0.6134  0.0047  0.0458  0.0436  0.2064  0.09
Kapell 1951   22  0.719  0.0235  0.0729  0.2446  0.0651  0.12
Kissin 1993   5  0.7830  0.0016  0.1115  0.4518  0.4018  0.42
Kushner 1989   16  0.7315  0.0220  0.0811  0.4614  0.4710  0.46
Luisada 1991   11  0.7454  0.0015  0.0813  0.4612  0.3521  0.40
Lushtak 2004   69  0.5455  0.0065  0.0457  0.0455  0.0581  0.04
Malcuzynski 1961   46  0.6142  0.0066  0.0469  0.0429  0.2359  0.10
Magaloff 1978   76  0.5051  0.0072  0.0384  0.0351  0.0675  0.04
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   10  0.7426  0.0117  0.0817  0.402  0.627  0.50
Milkina 1970   26  0.6974  0.0036  0.0730  0.2221  0.3429  0.27
Mohovich 1999   43  0.6549  0.0038  0.0736  0.1734  0.2935  0.22
Moravec 1969   81  0.4624  0.0184  0.0380  0.0360  0.0484  0.03
Morozova 2008   2  0.7814  0.0210  0.114  0.541  0.573  0.55
Neighaus 1950   39  0.6676  0.0024  0.0726  0.2829  0.2828  0.28
Niedzielski 1931   37  0.6671  0.0053  0.0745  0.0732  0.2647  0.13
Ohlsson 1999   19  0.723  0.083  0.1110  0.505  0.584  0.54
Osinska 1989   35  0.6753  0.0046  0.0470  0.0451  0.0574  0.04
Pachmann 1927   58  0.5852  0.0068  0.0468  0.0410  0.4248  0.13
Paderewski 1930   63  0.5677  0.0073  0.0386  0.0351  0.0486  0.03
Perlemuter 1992   66  0.5543  0.0057  0.0552  0.0555  0.0473  0.04
Pierdomenico 2008   52  0.6037  0.0060  0.0459  0.048  0.4546  0.13
Poblocka 1999   13  0.7410  0.0223  0.0818  0.4018  0.4219  0.41
Rabcewiczowa 1932   57  0.5812  0.0240  0.0640  0.1138  0.1255  0.11
Rachmaninoff 1923   28  0.6911  0.028  0.125  0.543  0.515  0.52
Rangell 2001   68  0.5435  0.0064  0.0467  0.0412  0.4049  0.13
Richter 1976   48  0.6131  0.0067  0.0461  0.0429  0.3852  0.12
Rosen 1989   1  0.804  0.056  0.112  0.584  0.582  0.58
Rosenthal 1930   51  0.6036  0.0069  0.0471  0.0424  0.2461  0.10
Rosenthal 1931   56  0.5823  0.0175  0.0556  0.0517  0.4045  0.14
Rosenthal 1931b   59  0.5760  0.0074  0.0379  0.0318  0.3958  0.11
Rosenthal 1931c   65  0.5579  0.0077  0.0376  0.0322  0.3162  0.10
Rosenthal 1931d   60  0.5759  0.0076  0.0464  0.0417  0.3854  0.12
Rossi 2007   85  0.3861  0.0082  0.0385  0.0371  0.0485  0.03
Rubinstein 1939   77  0.5065  0.0079  0.0374  0.0349  0.0676  0.04
Rubinstein 1952   84  0.4016  0.0242  0.0444  0.0865  0.0570  0.06
Rubinstein 1966   78  0.4728  0.0178  0.0382  0.0351  0.0579  0.04
Schilhawsky 1960   31  0.6844  0.0022  0.0631  0.2229  0.4225  0.30
Shebanova 2002   12  0.747  0.044  0.157  0.5218  0.3715  0.44
Smith 1975   14  0.735  0.0518  0.0728  0.2513  0.3724  0.30
Sokolov 2002   44  0.6462  0.0030  0.0827  0.2610  0.3923  0.32
Sztompka 1959   6  0.7766  0.009  0.126  0.5415  0.418  0.47
Tomsic 1995   80  0.4770  0.0085  0.0372  0.0355  0.0677  0.04
Uninsky 1932   21  0.7268  0.0034  0.0633  0.2129  0.2932  0.25
Uninsky 1971   30  0.6878  0.0052  0.0551  0.0539  0.2656  0.11
Wasowski 1980   34  0.6763  0.0050  0.0648  0.0643  0.0968  0.07
Zak 1937   20  0.7269  0.0028  0.0824  0.3239  0.1436  0.21
Zak 1951   18  0.7350  0.0027  0.0823  0.3537  0.1831  0.25
Random 1   90  -0.3184  0.0090  0.0190  0.0173  0.0390  0.02
Random 2   89  -0.1089  0.0088  0.0289  0.0214  0.3266  0.08
Random 3   88  -0.0890  0.0089  0.0288  0.0224  0.3267  0.08

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).